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NYIF presents its new virtual course series

Master Finance
Training 2 Hours a Day

Interact with Experts: Learn from NYIF experts and senior Wall Street practitioners from anywhere through our live, online training sessions.

Get Certified: Obtain a Professional Certificate of Mastery and equip yourself with world-class professional knowledge in just 3 weeks. Free exam prep offered at the end of each course. 

Manageable Time Commitment: Classes are conveniently scheduled as 2-hour sessions on weekdays (Tuesday through Thursday) or on weekends (Friday through Sunday), 3 days a week.

Affordable & Risk Free Trial: Earn a Professional Certificate of Mastery for less than 50% the cost of our in-person courses. You’re allowed to withdraw & receive a full refund after the first two sessions.

 

Download the 2023 Virtual Series Calendar in PDF format to see each course schedule and further details about each program.
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NYIF PRESENTS ITS NEW VIRTUAL COURSE SERIES

Master Finance
Training 2 Hours a Day

Interact with Experts: Learn from NYIF experts and senior Wall Street practitioners from anywhere through our live, online training sessions.

 

Get Certified: Obtain a Professional Certificate of Mastery and equip yourself with world-class professional knowledge in just 3 weeks. Free exam prep offered at the end of each course. 

 

Manageable Time Commitment: Classes are conveniently scheduled as 2-hour sessions on weekdays (Tuesday through Thursday) or on weekends (Friday through Sunday), 3 days a week.

 

Affordable & Risk Free Trial: Earn a Professional Certificate of Mastery for less than 50% the cost of our in-person courses. You’re allowed to withdraw & receive a full refund after the first two sessions.

Download the 2023 Virtual Series Calendar in PDF format to see each course schedule and further details about each program.
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NYIF PROFESSIONAL CERTIFICATES

Asset Liability Management Professional Certficate

Learn how to identify, measure and manage the interest rate risk, credit risk and liquidity risk on the balance sheets of firms, with particular emphasis on the balance sheets of financial institutions.

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Instruction Method: Virtual
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Instructor (s): Jack Farmer
Fees: $1,550.00
Enroll Now

WEEK 1

Module 1: Risk Fundamentals

  • Taxonomy of risks
  • Elements of a risk model
  • Risk measures: VaR and expected shortfall
  • Model risk Stress
  • Testing

Module 2: Introduction to ALM

  • Interest rate risk on the balance sheet
  • Liquidity risk on the balance sheet
  • Credit risk on the balance sheet
  • Banking book vs trading book: Hidden risks
  • ALM Governance and the pivotal role of the ALCO

Module 3: Review of Fixed Income Essentials

  • Rates, yields and term structures
  • Fixed income instruments
  • Repurchase agreements

WEEK 2

Module 1: Interest Rate Risk

  • First-order measures of rate and yield sensitivity
  • Determining the duration of a fixed income portfolio
  • First-order rate VaR
  • Second-order rate and yield sensitivity: Convexity
  • Optionality and negative convexity
  • Second-order rate VaR

Module 2: Funding Gap Analysis

  • Funding gaps: maturity and repricing mismatches
  • Managing net interest income

Module 3: Duration Gap Analysis

  • Duration gaps
  • The duration of equity
  • Balance sheet immunization
  • Market value of equity

Module 4: Securitization: An ALM Tool

  • The rationale for securitization
  • Securitization mechanics
  • Cashflow structures
  • ALM applications

Module 5: Case Studies

  • Module 6: Desk Ready Skills Knowledge Check

WEEK 3

Module 1: Interest Rate Risk- Overview & Measurement

  • Modeling interest rate risk
  • Deterministic vs. Stochastic models
  • Arbitrage models
  • Equilibrium models
  • Types of Interest Rate Risks
  • Yield Curve Risk
  • Equilibrium models
  • Basis Risk
  • Macaulay Duration
  • Modified Duration
  • Core Elements of Duration
  • Convexity Concept
  • Duration gap of Equity
  • Earnings versus Shareholder Value
  • Effective Duration
  • Effective Convexity
  • Hedging Duration & Convexity
  • Concept of Negative Duration
  • Key Rate Duration
  • Math of Sensitivity Parameters

Module 2: Measuring Risk Techniques

  • Sensitivity Parameters
  • Simulation Methodologies
  • Rate Shocks
  • Simple Simulation
  • Historical Simulation
  • Monte Carlo Simulation
  • Transfer Pricing as a Tool
  • Value-at-Risk
  • Core Elements of
  • VAR VaR Greeks & Math
  • Correlation & Covariance
  • VaR Methodologies
  • Implementation of VaR

Asset Liability Management Professional Certficate

Learn how to identify, measure and manage the interest rate risk, credit risk and liquidity risk on the balance sheets of firms, with particular emphasis on the balance sheets of financial institutions.

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Instruction Method: Virtual
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Instructor (s): Jack Farmer
Fees: $1,550.00
Enroll Now

WEEK 1

Module 1: Risk Fundamentals

  • Taxonomy of risks
  • Elements of a risk model
  • Risk measures: VaR and expected shortfall
  • Model risk Stress
  • Testing

Module 2: Introduction to ALM

  • Interest rate risk on the balance sheet
  • Liquidity risk on the balance sheet
  • Credit risk on the balance sheet
  • Banking book vs trading book: Hidden risks
  • ALM Governance and the pivotal role of the ALCO

Module 3: Review of Fixed Income Essentials

  • Rates, yields and term structures
  • Fixed income instruments
  • Repurchase agreements

WEEK 2

Module 1: Interest Rate Risk

  • First-order measures of rate and yield sensitivity
  • Determining the duration of a fixed income portfolio
  • First-order rate VaR
  • Second-order rate and yield sensitivity: Convexity
  • Optionality and negative convexity
  • Second-order rate VaR

Module 2: Funding Gap Analysis

  • Funding gaps: maturity and repricing mismatches
  • Managing net interest income

Module 3: Duration Gap Analysis

  • Duration gaps
  • The duration of equity
  • Balance sheet immunization
  • Market value of equity

Module 4: Securitization: An ALM Tool

  • The rationale for securitization
  • Securitization mechanics
  • Cashflow structures
  • ALM applications

Module 5: Case Studies

  • Module 6: Desk Ready Skills Knowledge Check

WEEK 3

Module 1: Interest Rate Risk- Overview & Measurement

  • Modeling interest rate risk
  • Deterministic vs. Stochastic models
  • Arbitrage models
  • Equilibrium models
  • Types of Interest Rate Risks
  • Yield Curve Risk
  • Equilibrium models
  • Basis Risk
  • Macaulay Duration
  • Modified Duration
  • Core Elements of Duration
  • Convexity Concept
  • Duration gap of Equity
  • Earnings versus Shareholder Value
  • Effective Duration
  • Effective Convexity
  • Hedging Duration & Convexity
  • Concept of Negative Duration
  • Key Rate Duration
  • Math of Sensitivity Parameters

Module 2: Measuring Risk Techniques

  • Sensitivity Parameters
  • Simulation Methodologies
  • Rate Shocks
  • Simple Simulation
  • Historical Simulation
  • Monte Carlo Simulation
  • Transfer Pricing as a Tool
  • Value-at-Risk
  • Core Elements of
  • VAR VaR Greeks & Math
  • Correlation & Covariance
  • VaR Methodologies
  • Implementation of VaR

Faculty Profile

Derivatives Virtual Professional Certificate

Learn to price forward and futures contracts. Be familiar with futures contract specifications and market conventions. Understand the valuation of a variety of swap contracts. Learn how to extract credit risk measures from CDS spreads and asset swap spreads. Understand common trading strategies using futures, forwards, swaps and options. Develop a conceptual understanding of the Black-Scholes-Merton option valuation model. Use option sensitivities (the Greeks) to determine the impact of changing model parameters on option prices. Define the risk management measures (The Greeks) and employ them to evaluate movement in option prices. Identify unique risk/reward characteristics of each commonly used option strategy. Differentiate among market participants and the options strategies they are likely to employ. Analyze historical volatility to estimate forecast volatility. Analyze implied volatility: skew and term structure to determine potential volatility trading strategies. Identify the reasons for the various shapes of skew (smile) and term structure. Employ a variety of volatility studies from implied versus historical to intra-day volatility. Identify useful tools for trading and hedging volatility-based strategies.

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Instruction Method: Virtual

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Instructor (s): Jack Farmer & Greg Ciresi

Fees: $1,550

Registration Includes:

  • 9 Online Virtual Sessions with Live Instructors
  • 2 Supplemental Digital Content eLearning Modules
  • Professional Certificate Examination
  • Access to NYIF Alumni Network: a community of over 1 million finance professionals spanning 100 years of education and enjoy exclusive discounts on future NYIF courses

Participants must complete the virtual sessions and eLearning modules as well as pass the examination to receive a NYIF Professional Certificate of Mastery

Enroll Now

RECOMMENDED PREREQUISITE

SUPPLIMENTAL DIGITAL LEARNING COURSE I  

FORWARDS AND FUTURES

Learn to price forward and futures contracts
Use forwards and futures for hedging and speculation

Module 1: Fundamentals (Duration: 1 Hr 40 Mins)
  • Attitudes towards Risks
  • Diversification
  • Market Portfolio
  • Capital Asset Pricing Model
  • Compounded Returns
  • Asset Price Process
  • Unit Zero Coupon Bonds
  • Spot Rates
Module 2: Forwards and Futures Contracts (Duration: 20 Mins)
  • Spot, Forward, and Futures Contracts
  • Trading Volume and Open Interest
Module 3: Forwards and Futures Valuation (Duration: 1 Hr 10 Mins)

 

  • No-Arbitrage
  • Forward Payoffs
  • Cash and Carry Arbitrage
  • Basis and Cost of Carry
  • Financial Assets and FX Forwards
  • Risk-Neutral Valuation
  • Convergence
Module 4: Commodity Markets (Duration: 25 Mins)

 

  • Commodity Markets
  • Crude Oil Forward Curve
  • Commodity Markets Scenarios
  • Seasonal Commodities and No-Arbitrage
Module 5: Hedging with Forwards and Futures (Duration: 25 Mins)

 

  • Hedging
  • Hedging with Equity Index Futures
Module 6: Short Term Financial Forwards and Futures (Duration: 1 Hr)
  • Yield Curves
  • Forward Zeros and Forward Interest Rates
  • Spot and Forward Interest Rate
  • Rate Lock
  • Forward Rate Agreement
  • Eurodollar Futures
  • Federal Funds and FED Funds Futures
Module 7: Long Term Financial Forwards and Futures (Duration: 20 Mins)

 

  • Treasury Futures
Review Quiz (Duration: 45 Mins)

RECOMMENDED PREREQUISITE

SUPPLIMENTAL DIGITAL LEARNING COURSE II

INTEREST RATE SWAP

Learn to price interest rate swaps.
Use interest rate swaps for hedging and speculation.

Module 1: Swap Fundamentals (Duration: 40 Mins)
  • Swaps
  • Simple Swap
  • Swap Price and Value
  • Swap Term Sheet
Module 2: Interest Rate Swaps: Basics (Duration: 2 Hr 25 Mins)
  • Unit Annuity
  • Unit Coupon Bond
  • Floating Rate Notes
  • Forward Rate Agreement
  • Interest Rate Swap
  • The Swap Rate
  • The Swap Rate Cont.
  • BLOOMBERG SWPM 

Module 4: Equity Swaps (Duration: 30 Mins)
Review Quiz (Duration: 45 Mins)

VIRTUAL Course 1: Swaps

Module 1: Advanced Swap Topics: Asset Swaps, Amortizing Swaps

Understand how asset swaps are priced and customized for a specific bond.

  • SOFR Swaps
  • Forward starting swaps
  • Amortizing and accreting swap
  • Asset Swaps
  • Par asset swaps
  • Asset swap spreads vs. CDS spreads

Module 2: Foreign Exchange Swap

Understand how bonds and loans can be swapped into different currencies.

  • Foreign Exchange Markets
  • Managing FX Risk
  • Deliverable and Non-Deliverable Forwards
  • FX Swaps and Cross Currency Swaps

Module 3: Credit Swaps

Understand how credit risk of a bond issuer can be traded separately from its bonds. How a portfolio or basket of credit risks can be hedged with a single instrument.

 

  • Single-name credit default swaps (CDS)
  • ISDA credit definitions
  • CDS market conventions
  • Portfolio Credit Default Swaps
  • iTrax and CDX Basket Default Swaps

VIRTUAL COURSE 2: OPTIONS

Module 4: Option Fundamentals

Understand option terminology and payoff profiles.

Use option sensitivities (the Greeks) to determine the impact of changing model parameters on option prices.

     Option Contract Terms and Conditions
  • The Basics
  • Option Contracts
  • Payoffs of Vanilla Calls and Puts
  • Replication and Put-Call Parity
  • Payoffs and P/L
     Inputs into Option Pricing Models
  • Asset price
  • Strike price
  • Time to expiration
  • Interest rates
  • Dividends
  • Volatility

Module 5: Option Pricing Models

Understand how options are priced

  • Probability: essential concepts
  • Normal and log-normal random variables
  • Pricing models: Binomial and Black-Scholes-Merton

Module 6: Option Portfolio Risk Management

Develop a conceptual understanding of the Black-Scholes-Merton option valuation model for pricing and risk management of option portfolios.

  • The Greeks: Delta, Gamma, Theta, Vega, Rho and Psi
  • Vertical Spreads
  • Calendar Spreads
  • Earnings announcements speculation

VIRTUAL COURSE 3: ADVANCED OPTIONS TRADING

Module 7: Volatility Trading and Applications

Understand the strategies used by speculators and hedgers.

  • Gamma Scalping Example: Remaining delta neutral
  • Volatility Trade Examples
  • Trading The Skew: Other Ways to Hedge

Module 8: Advanced Volatility Concepts: Analytics

  • Historical Volatility
  • Calculating & Interpreting Historical Volatility
  • Other Measures of Historical Volatility
  • Measuring Normal versus Market Implied Distributions

Module 9: Advanced Volatility Concepts: Implied Volatility Surface

  • Volatility Skew
  • Tendencies, Seasonality, Etc.
  • Term Structure of Implied
  • Volatility: Sticky Strike, Sticky Delta
  • Volatility Studies

Faculty Profile

M&A Professional Certificate

Comprehensive analysis of the major facets of the Mergers & Acquisitions industry and the skills engaged in executing all areas of transactions from pre to post-merger integration.

  • How to identify a successful merger or acquisition opportunity
  • How to structure a variety of M&A deals resulting from different circumstances
  • Regulations concerning mergers & acquisitions
  • How to model and utilize free cash flow for capital budgeting and evaluation and integration of acquisitions
  • Accounting for mergers & acquisitions
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Instruction Method: Virtual
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Instructor (s): Chris Manfre
Fees: $1,550.00

Registration Includes:

  • 9 Online Virtual Sessions
  • Professional Certificate Examination
  • 2 Supplemental eLearning Courses
  • Access to NYIF Alumni Network: a community of over 1 million finance professionals spanning 100 years of education and enjoy exclusive discounts on future NYIF courses.

Participants must complete the virtual sessions as well as pass the examination to receive a NYIF Professional Certificate of Mastery

Enroll Now

VIRTUAL COURSE 1: MERGERS AND ACQUISITIONS – CONCEPTS AND THEORIES PART I

Module 1

  • Mergers and Acquisitions Overview
  • Key Drivers of a Successful Acquisition

Module 2

  • Attractiveness of Target Companies
  • Acquisition Structure

Module 3

  • Sequence of Events
  • Documentation and Agreements

VIRTUAL COURSE 2: MERGERS AND Acquisitions – Concepts and Theories Part II

Module 4

  • Managing for Value Creation
  • How Does the Integration Process Affect Value Creation?

Module 5

  • Valuation
  • Financing the Acquisition

Module 6

  • Anti-takeover Mechanisms
  • Anti-trust Policies

VIRTUAL COURSE 3:  MERGERS AND ACQUISITIONS – STRUCTURING THE DEAL PART III

Module 7

  • Legal structures
  • Tax structures
  • Accounting

Module 8

  • Letter of Intent
  • Seller paper, earn outs, hope certificates

Module 9

  • Special cases
  • Tax loss mergers
  • Break-up/sum-of-the-parts/split-offs
  • LBOs
  • Roll-ups, consolidation plays
  • Distressed (Bankruptcy) M&A
  • Special Purpose Acquisition Corp. (SPAC), Blind pool
  • Reverse merger, backdoor IPO

SUPPLEMENTAL DIGITAL E-LEARNING COURSE I

FREE CASH FLOW MODELING

  • Free Cash Flow and the Objectives of the Firm
  • Components of Free Cash Flow
  • Cost of Capital
  • Capital Budgeting Using Free Cash Flow
  • Modified Free Cash Flow
  • Using Free Cash Flow to Evaluate Acquisition Opportunities
  • Integration of Acquisitions

SUPPLEMENTAL DIGITAL E-LEARNING COURSE 2 

ACCOUNTING FOR MERGERS AND ACQUISITIONS 

  • Equity Method of Consolidation
  • Purchase Accounting for Business Combinations
  • Forecasting the Performance of the Combined Company
  • Internal Revenue Code Section 338(g) and 338(h)(10) Transactions

Faculty Profile

Corporate Treasury Management Professional Certificate

In Corporate Treasury Course, you will learn how to manage treasury activities more effectively using new approaches and technologies – global scope with a special focus on the U.S. financial environment.

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Instruction Method: Virtual
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Instructor (s): Valisha Graves
Fees: $1,550.00
Enroll Now

Week 1

Module 1: The Role of Treasury/ Treasury Strategies

Module 2: Treasury Operations/ Banks and Fiancial Institutions

Module 3: CashFlow Forcasting/ Liquidity Management

Week 2

Module 4: Working Capital / Working Capital Metrics/Supply Chain Finance/Inventory Management

Module 5: Short Term Borrowing/Investment Grade and Non-Investment Grade Debt

Module 6: Short Term Investing/Money Markets/Managing an Investment Portfolio

Week 2

Module 7: Short Term Investing/Money Markets/Managing an Investment Portfolio

Module 8: Global Treasury (In-House Bank)/KPIs

Module 9: Technology in Treasury: APIs/Treasury Management Systems, Blockchain, Innovations and Payments

Corporate Treasury Management Professional Certificate

In Corporate Treasury Course, you will learn how to manage treasury activities more effectively using new approaches and technologies – global scope with a special focus on the U.S. financial environment.

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Instruction Method: Virtual
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Instructor (s): Valisha Graves
Fees: $1,550.00
Enroll Now

Week 1

Module 1: The Role of Treasury/ Treasury Strategies

Module 2: Treasury Operations/ Banks and Fiancial Institutions

Module 3: CashFlow Forcasting/ Liquidity Management

Week 2

Module 4: Working Capital / Working Capital Metrics/Supply Chain Finance/Inventory Management

Module 5: Short Term Borrowing/Investment Grade and Non-Investment Grade Debt

Module 6: Short Term Investing/Money Markets/Managing an Investment Portfolio

Week 2

Module 7: Short Term Investing/Money Markets/Managing an Investment Portfolio

Module 8: Global Treasury (In-House Bank)/KPIs

Module 9: Technology in Treasury: APIs/Treasury Management Systems, Blockchain, Innovations and Payments

Faculty Profile

Credit Risk Analysis Professional Certficate

Gain a solid grounding in credit risk fundamentals with the tools and techniques required to perform a credit analysis – utilizing analytical tools to project future performance. Prerequisite knowledge: Basic accounting

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Instruction Method: Virtual
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Instructor (s): Tracy Williams
Fees: $1,550.00
Enroll Now

WEEK 1: February 19-21, 2024 (Mon, Tue, Wed): 9am – 12pm ET

Module 1: Historical financial analysis

  • The Audit 
  • Review of historical patterns and industry performance 
  • Income Statement analysis 
  • Balance Sheet analysis
  • Cash Flow analysis

Module 2: Cash flow analysis

  • Structure of the cash flow statement
  • Sources and Uses
  • Reconciliations including PP &E, Intangibles, Investments, Deferred Taxes, Long term debt, Minority interest and Equity

Module 3: Off-balance-sheet risks

  • Structure of the cash flow statement
  • Sources and Uses
  • Reconciliations including PP &E, Intangibles, Investments, Deferred Taxes, Long term debt, Minority interest and Equity
  • Contingent liabilities
  • Operating leases
  • Debt of joint ventures and unconsolidated subsidiaries
  • Guarantees
  • Take-or-pay contracts and obligations under throughput and deficiency agreements
  • Receivables that have been factored, transferred or securitized
  • Contingent liabilities e.g. potential legal judgments or lawsuit settlements

Module 4: Additional Risks to Consider

  • Financial guarantees, and Performance guarantees
  • Ratings triggers
  • Covenants
  • Revenue recognition
  • Unusual gains and losses
  • Asset write-offs
  • Swap exposures, and FX exposure
  • Pension deficits
  • Securitization
  • Structural subordination
  • Partnerships/SPVs
  • Leases
  • Environmental and Product Liability

WEEK 2: February 26-28, 2024 (Mon, Tue, Wed): 9am – 12pm ET

Module 1: Forecasting

  • Building a forecast-framework and methodology
  • Qualitative and quantitative factors
  • Base, management, and downside cases
  • Critical value drivers
  • Analyzing results- assessing debt capacity, recommending financing alternatives, public versus private, quantifying results and drawing conclusions

Module 2: Structuring & Documentation

  • Investment grade versus non-investment grade
  • Holding company analysis
  • Guarantees, Keepwells, LOMIs
  • Collateral secured versus unsecured
  • Liquidation analysis
  • Borrowing base
  • Covenants
  • Subordination

Module 3: Derivatives

  • Introduction
  • What is credit risk
  • Purpose of credit derivatives
  • Market participants and Role of regulators
  • The Credit Default Family
  • ISDA Agreement
  • Description of vanilla vs. structured derivatives
  • Total Return Swaps and their Characteristics
  • Credit Default Swaps and their Characteristics
  • Risks and Risk Management of Credit Derivatives
  • Credit Operations
  • Market Liquidity
  • Legal Risk Management

Module 4: Case Presentations

  • Participants will present the complete credit analysis for the selected company

Credit Risk Analysis Professional Certficate

Gain a solid grounding in credit risk fundamentals with the tools and techniques required to perform a credit analysis – utilizing analytical tools to project future performance. Prerequisite knowledge: Basic accounting

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Instruction Method: Virtual
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Instructor (s): Tracy Williams
Fees: $1,550.00
Enroll Now

WEEK 1

Module 1: Cash Flow Analysis

  • Structure of the cash flow statement
  • Sources and Uses
  • Reconciliations including PP &E, Intangibles, Investments, Deferred Taxes, Long term debt, Minority interest and Equity
  • Exercise: Participants will complete the cash flow for the selected company

Module 2: Historical Financial Analysis

  • The Audit
  • Review of historical patterns and industry performance
  • Income Statement analysis
  • Balance Sheet analysis
  • Cash Flow analysis
  • Exercise: Participants will work in small groups to complete the FYE analysis

WEEK 2

Module 1: Off-Balance Sheet Items

  • Contingent liabilities
  • Operating leases
  • Debt of joint ventures and unconsolidated subsidiaries
  • Guarantees
  • Take-or-pay contracts and obligations under throughput and deficiency agreements
  • Receivables that have been factored, transferred or securitized
  • Contingent liabilities e.g. potential legal judgments or lawsuit settlements

Module 2: Additional Risks to Consider

  • Financial guarantees
  • Performance guarantees
  • Ratings triggers
  • Covenants
  • Revenue recognition
  • Unusual gains and losses
  • Asset write-offs
  • Swap exposures
  • FX exposure
  • Pension deficits
  • Securitization
  • Structural subordination
  • Partnerships/SPVs
  • Leases
  • Environmental
  • Product liability
  • Exercise: Annual Reports: identifying and recognizing industry and company specific off-balance sheet risks

Module 3: Forecasting

  • Building a forecast-framework and methodology
  • Qualitative and quantitative factors
  • Base, management, and downside cases
  • Critical value drivers
  • Analyzing results- assessing debt capacity, recommending financing alternatives, public versus private, quantifying results and drawing conclusions
  • Exercise: Forecasting the critical value drivers for selected companies

WEEK 3

Module 1: Structuring and Documentation

  • Investment grade versus non-investment grade
  • Holding company analysis
  • Guarantees, Keepwells, LOMIs
  • Collateral secured versus unsecured
  • Liquidation analysis
  • Borrowing base
  • Covenants
  • Subordination
  • Exercise: Due diligence for selected case studies

Module 2: Derivatives

  • Introduction
  • What is credit risk
  • Purpose of credit derivatives
  • Market participants
  • Role of regulators
  • The Credit Default Family
  • ISDA
  • Description of vanilla vs. structured derivatives
  • Total Return Swaps
  • Characteristics
  • Exercise
  • Credit Default Swaps
  • Characteristics
  • Risks and Risk Management of
  • Credit Derivatives Credit
  • Operations
  • Market
  • Liquidity
  • Legal Risk Management

Module 3: Presentations

  • Participants will present the complete credit analysis for the selected company

Module 4: Desk Ready Skills Knowledge Check

Faculty Profile

Data Analysis & Programming for Finance Professional Certificate

This course will teach you the essential elements of Python and R to build practically useful applications and conduct data analysis for finance.

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Instruction Method: Virtual

Duration: 8:00 AM – 10:00 AM EST (Tues, Wed, and Thurs only)

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Instructor (s): Richard Duan

Start Date: March 19

End Date: April 4

Fees: $1,550.00
Enroll Now

WEEK 1

Module 1: Introduction to Python

  • The Anaconda Python distribution
  • Interactive programming: IPython and Jupyter notebooks
  • Programming: control structures, data types, functions, data structures
  • Modules and Packages

Module 2: Essential Python Toolkit

  • Date and time management : format, measuring time lapse, etc.
  • How to build and run a standalone application
  • Parsing command line arguments
  • Importing/Exporting files
  • Reading and writing in CSV format
  • Accessing SQL databases
  • Multiprocessing
  • Using a dictionary for explicit indexing

Module 3: Arrays, Vectorization, and Random Numbers

  • NumPy: array processing
  • Vectorized functions
  • Random number generation

WEEK 2

Module 1: Introduction to Python

  • Matplotlib: 2D and 3D plotting
  • Using pyplot
  • SciPy: scientific computing
  • Root finding, interpolation, integration and optimization

Module 2: Data Analysis with Python

  • Data analysis with scipy.stats and pandas
  • Pandas data structures: series and data frames
  • Importing and exporting data from/to MS Excel
  • Importing data from websites

Module 3: Python Applications

  • Monte Carlo simulation basics
  • Simulating asset price trajectories
  • Variance reduction techniques
  • Pricing options by Monte Carlo simulation
  • Pricing options by finite difference methods

WEEK 3

Module 1: R Basics

  • The IDE: RStudio
  • R syntax
  • R objects: vectors, matrices, arrays, data frames and lists
  • Flow control: branching, looping and truth testing
  • Importing and manipulating data
  • Plotting with R

Module 2: Data Analysis with R

  • Manipulating data frames
  • Descriptive statistics
  • Inference and time series analysis

Module 3: R Applications

  • Regression analysis
  • Volatility modeling
  • Risk management: VaR and ES

Data Analysis & Programming for Finance Professional Certificate

This course will teach you the essential elements of Python and R to build practically useful applications and conduct data analysis for finance.

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Instruction Method: Virtual

Duration: 8:00 AM – 10:00 AM EST

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Instructor (s): Richard Duan
Start Date: March 19

End Date: April 4

Fees: $1,550.00
Enroll Now

WEEK 1

Module 1: Introduction to Python

  • The Anaconda Python distribution
  • Interactive programming: IPython and Jupyter notebooks
  • Programming: control structures, data types, functions, data structures
  • Modules and Packages

Module 2: Essential Python Toolkit

  • Date and time management : format, measuring time lapse, etc.
  • How to build and run a standalone application
  • Parsing command line arguments
  • Importing/Exporting files
  • Reading and writing in CSV format
  • Accessing SQL databases
  • Multiprocessing
  • Using a dictionary for explicit indexing

Module 3: Arrays, Vectorization, and Random Numbers

  • NumPy: array processing
  • Vectorized functions
  • Random number generation

WEEK 2

Module 1: Introduction to Python

  • Matplotlib: 2D and 3D plotting
  • Using pyplot
  • SciPy: scientific computing
  • Root finding, interpolation, integration and optimization

Module 2: Data Analysis with Python

  • Data analysis with scipy.stats and pandas
  • Pandas data structures: series and data frames
  • Importing and exporting data from/to MS Excel
  • Importing data from websites

Module 3: Python Applications

  • Monte Carlo simulation basics
  • Simulating asset price trajectories
  • Variance reduction techniques
  • Pricing options by Monte Carlo simulation
  • Pricing options by finite difference methods

WEEK 3

Module 1: R Basics

  • The IDE: RStudio
  • R syntax
  • R objects: vectors, matrices, arrays, data frames and lists
  • Flow control: branching, looping and truth testing
  • Importing and manipulating data
  • Plotting with R

Module 2: Data Analysis with R

  • Manipulating data frames
  • Descriptive statistics
  • Inference and time series analysis

Module 3: R Applications

  • Regression analysis
  • Volatility modeling
  • Risk management: VaR and ES

Faculty Profile

Capital Markets Professional Certificate

Choose the best derivative to hedge against risk in real-life financial situations. Calculate the profit or loss on futures trades. Construct a swap and calculate the benefit of the swap to each counterparty. Diversify your investment fund both geographically and by asset class. Describe the role of equity from both the issuer’s and investor’s perspectives. Distinguish among the different types of stock markets. Describe the main methods used in equity valuation. Explain the major steps in the IPO process. Identify the key participants in the IPO process. Apply knowledge to today’s financial situations

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Instruction Method: Virtual

Duration: 8:00 AM – 10:00 AM EST (Fri, Sat, Sun only)

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Instructor (s): Chris Thomas & Jack Farmer
Start Date: March 22

End Date: April 7

Fees: $1,550

Registration Includes:

  • 9 Online Virtual Sessions with Live Instructors
  • 2 Supplemental eLearning Courses
  • Professional Certificate Examination
  • Access to NYIF Alumni Network: a community of over 1 million finance professionals spanning 100 years of education and enjoy exclusive discounts on future NYIF courses.

Participants must complete the virtual sessions and eLearning modules as well as pass the examination to receive a NYIF Professional Certificate of Mastery

Enroll Now

VIRTUAL COURSE 1: EQUITY VALUATION AND INVESTMENT

Identify the purposes and uses of the stock indexes and index products for both targeted and diversified investment strategies

Module 1: Equity Indexes

  • Market Segmentation
  • Index Construction and Weighting
  • Bias, Tracking Error and Rebalancing 
  • Trading and Hedging Strategies using Index Products

Module 2: Equity Valuation

Understand the main financial models used to value stocks relative to market prices.

  • Uses and Limitations of Valuation
  • Valuation Models 
  • Model Inputs
  • Ratio Analysis 
  • Intrinsic Valuation
  • Relative Valuation
  • Equity Risk Premium 
  • Dividend Discount Models
  • Method of Comparables
  • Enterprise Value and Economic Value Added (EVA)
  • Oracle Valuation Case

Module 3: Equity Investment Vehicles

Explore the alternative ways that equity investments can be structured to diversify, maximize return on capital and participate in private and pre-IPO transactions.

  • Mutual Funds
  • Hedge Funds
  • Private Equity
  • Venture Capital

VIRTUAL COURSE 2: EQUITY AND DEBT IPOs AND SECONDARY OFFERINGS

Module 4: Equity and Debt IPOs

Identify the key participants and the major steps in the IPO process and the types of and motivations for secondary shares offerings.

Key Participants

  • Company Management
  • Board of Directors
  • Counsel 
  • Independent Accountants
  • Pre-IPO shareholders
  • Managing Underwriters
  • Underwriter’s Counsel
  • Research Analysts
  • SEC
  • Corporate Bond Issuance

Timing and major steps in IPO process

  • Pre-Organizational Meeting
  • Organizational Meeting
  • Post-Organizational Meeting

Module 5: Equity and Debt Secondary Offerings

  • Primary vs Secondary Offering
  •  Types of Secondary Offerings
  • Motivations for Secondary Offerings

Module 6: IPO Workshop

  • Case Study

VIRTUAL COURSE 3: INTRODUCTION TO DERIVATIVES

  • Characteristics and pricing of futures, forwards and swaps
  • Hedging and speculative uses of equity, fixed income and credit derivatives

Module 7: Futures and Forwards

Identify the different types of futures and forward contracts for equities, bonds and equity indexes. Understand how forward contracts for equities, bonds and equity indexes

  • Futures and Forwards Markets
  • Exchanges, Clearinghouses and OTC
  • Hedging and speculating with Futures
  • Trade Execution
  • Settlement and Margining
  • Bond Futures
  • Index Futures

Module  8: Options

Understand how an options work and how options on stocks, bonds and interest rates can be used to hedge investment risks.

  • History and Evolution of Options Market.
  • Options Terminology
  • Evaluate Risk/Reward – Payoff Profiles & Break-Evens
  • Identify Basic Characteristics of options, caps & floors and swaptions
  • Identify Factors of Options Pricing

Module 9: Swaps and Credit Derivatives

Understand the mechanics and pricing of interest rate and FX swaps.
Identify the risk management and investment use cases for swaps.

  • History and Evolution of Swaps
  • Characteristics & Features of Swaps
  • Fundamentals of Pricing Interest Rate Swaps
  • Application of Interest Rate Swaps to Hedging Situations
  • FX Swaps

SUPPLEMENTAL LEARNING COURSE  I

MONEY MARKETS, FOREIGN EXCHANGE AND TIME VALUE OF MONEY

Module 1: The Major Capital Markets

Module 2: Introduction to Money Markets

Module 3: Introduction to Foreign Exchange

Module 4: Time Value of Money

SUPPLEMENTAL LEARNING COURSE II

BOND AND EQUITY MARKETS, AND FINANCIAL REGULATION

Module 1: Bond Markets

Module 2: Bond Issuance Risks

Module 3: Equity Securities

Module 4: Equity Markets & Trading

Module 5: Regulation of Financial Markets

Faculty Profile

Technical Analysis Professional Certificate

Apply technical analysis as an important component of security analysis, especially when combined with fundamental analysis. Understand how chart patterns reflect the principles of behavioral finance. Apply specific technical strategies to the investment selection process. Develop trading strategies based on technical theories. Evaluate indicators and patterns based on quantitative analysis.

Discuss the definitions of subjective and objective analysis and review how the different types of analysis can be incorporated into trading decisions. Apply the principles of objective analysis to market data to understand the design of investment trading systems. Develop complete trading strategies including entry and exit rules, position sizing strategies, and risk management techniques. Analyze the historic performance of trading systems in terms of potential rewards and risks.

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Instruction Method: Virtual
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Instructor (s): Michael Carr

Fees: $1,550

Registration Includes:

  • 9 Online Virtual Sessions with Live Instructors
  • Professional Certificate Examination
  • Access to NYIF Alumni Network: a community of over 1 million finance professionals spanning 100 years of education and enjoy exclusive discounts on future NYIF courses

Participants must complete the virtual sessions as well as pass the examination to receive a NYIF Professional Certificate of Mastery

Enroll Now

VIRTUAL COURSE 1

TRADING: FUNDAMENTALS OF TECHNICAL ANALYSIS:

Module 1(A): How Technical Analysis Works

Duration : 1 Hour

  • Introduction
  • Overview of Technical Analysis
  • Why Technical Analysis Works
  • A Framework Based on Wyckoff for Applying Technical Analysis to Trading

Module 1(b): Introduction to Charts

Duration : 1 Hour

  • Popular Chart Types (Line Charts, Bar Charts, Candlesticks)
  • Other Chart Types (Heikin-Ashi candles, Ichimoku, P&F, Kagi, Renko, Percent Swing, Gann Swing, RRG, Spread Charts, Frequency Distribution)

Module 2: Chart Patterns

Duration : 2 Hour

  • Common Patterns (Trends, Support and Resistance Levels, Gaps, Volume)
  • Topping Patterns
  • Bottoming Patterns
    Continuation Patterns
  • Miscellaneous Patterns (including Fibonacci Sequence)
  • Strategy for Trading Charts
  • Interpreting Candlestick Charts

Module 3: Introduction To Technical Indicators

Duration : 2 Hour

  • Most Popular Indicators on Bloomberg
  • Moving Averages
  • RSI Indicator
  • Stochastic
  • Rate of Change (RoC) Indicator
  • MACD
  • Bollinger Bands (including %b and Bandwidth)
  • Channel Strategies (MA Envelops, Keltner, Donchain)

VIRTUAL COURSE 2

TRADING: FUNDAMENTALS OF TECHNICAL ANALYSIS (CONT.)

Module 4: Advanced Technical Indicators

Duration : 2 Hour

  • Other Indicators (ATR, Pivot Points, %R, Stochastic RSI)
  • Trading System Indicators (ADX, DMI, Parabolic SAR)
  • Volume Indicators (OBV, Volume-Weighted Moving Averages, Ease of Movement, Money Flow, Chaikin Money Flow)
  • Sentiment (Survey, VIX, VIX Fix, COT)
  • The Best Indicator

Module 5: Comparative Technical Indicators

Duration : 2 Hours

  • Breadth (Equal Weighted vs Cap Weighted, A/D Indicators, % Stocks Above MA or Indicator)
  • Ratio Spreads (Yield Curves, Market Cap, Style, Pairs Trading)
  • Comparative Relative Strength
  • Combining Relative Strength with Fundamentals

Module 6: Technical Theories

Duration : 2 Hours

  • Cycle Analysis
  • Dow Theory
  • Elliott Wave Theory Overview
  • Seasonals
  • Intermarket Analysis
  • Putting It All Together

VIRTUAL COURSE 3

TRADING: QUANTITATIVE TECHNICAL ANALYSIS

Module 7(A): Subjective VS Objective Analysi

Duration : 1 Hour

  • Introduction
  • Systems Trading vs Discretionary Trading
  • Mean Reversion vs Trend Following
  • Factors to Consider When Designing Systems

Module 7(B):  Algorithmic Trading

Duration : 1 Hour

  • Developing Trading Systems Overview
  • Developing Trading Systems – Determine What to Trade
  • Developing Trading Systems – Determine Trading Frequency
  • Developing Trading Systems – Define the Entry Rules
  • Developing Trading Systems – Define the Exit Rules for Winning Trades
  • Developing Trading Systems – Define the Exit Rules for Losing Trades
  • Developing Trading Systems – Measure Performance
  • Developing Trading Systems – Adapt Parameters
  • Developing Trading Systems – Monitor Performance

Module 8: Backtesting

Duration : 2 Hours

  • Data (Issues to Consider, Timeframe)
  • Optimization
  • Position Sizing (None, Kelly Criterion, Optimal f, Fixed Fractional, Fractional Ratio)
  • Example – Trend Following (Highlights Issues With Data Selection and Optimization)

Module 9: Implementing Quantitative Technical Analysis Strategies

Duration : 2 Hours

  • Strategies for Implementing a Long-Term Strategy in a $25,000 Account
  • Developing Short-Term Strategies

Faculty Profile

Corporate Treasury Management Professional Certificate

In Corporate Treasury Course, you will learn how to manage treasury activities more effectively using new approaches and technologies – global scope with a special focus on the U.S. financial environment.

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Instruction Method: Virtual
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Instructor (s): Valisha Graves
Fees: $1,550.00
Enroll Now

Week 1

Module 1: The Role of Treasury/ Treasury Strategies

Module 2: Treasury Operations/ Banks and Fiancial Institutions

Module 3: CashFlow Forcasting/ Liquidity Management

Week 2

Module 4: Working Capital / Working Capital Metrics/Supply Chain Finance/Inventory Management

Module 5: Short Term Borrowing/Investment Grade and Non-Investment Grade Debt

Module 6: Short Term Investing/Money Markets/Managing an Investment Portfolio

Week 2

Module 7: Short Term Investing/Money Markets/Managing an Investment Portfolio

Module 8: Global Treasury (In-House Bank)/KPIs

Module 9: Technology in Treasury: APIs/Treasury Management Systems, Blockchain, Innovations and Payments

Corporate Treasury Management Professional Certificate

In Corporate Treasury Course, you will learn how to manage treasury activities more effectively using new approaches and technologies – global scope with a special focus on the U.S. financial environment.

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Instruction Method: Virtual
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Instructor (s): Valisha Graves
Fees: $1,550.00
Enroll Now

Week 1

Module 1: The Role of Treasury/ Treasury Strategies

Module 2: Treasury Operations/ Banks and Fiancial Institutions

Module 3: CashFlow Forcasting/ Liquidity Management

Week 2

Module 4: Working Capital / Working Capital Metrics/Supply Chain Finance/Inventory Management

Module 5: Short Term Borrowing/Investment Grade and Non-Investment Grade Debt

Module 6: Short Term Investing/Money Markets/Managing an Investment Portfolio

Week 2

Module 7: Short Term Investing/Money Markets/Managing an Investment Portfolio

Module 8: Global Treasury (In-House Bank)/KPIs

Module 9: Technology in Treasury: APIs/Treasury Management Systems, Blockchain, Innovations and Payments

Faculty Profile

Asset Liability Management Professional Certficate

Learn how to identify, measure and manage the interest rate risk, credit risk and liquidity risk on the balance sheets of firms, with particular emphasis on the balance sheets of financial institutions.

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Instruction Method: Virtual
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Instructor (s): Jack Farmer
Fees: $1,550.00
Enroll Now

WEEK 1

Module 1: Risk Fundamentals

  • Taxonomy of risks
  • Elements of a risk model
  • Risk measures: VaR and expected shortfall
  • Model risk Stress
  • Testing

Module 2: Introduction to ALM

  • Interest rate risk on the balance sheet
  • Liquidity risk on the balance sheet
  • Credit risk on the balance sheet
  • Banking book vs trading book: Hidden risks
  • ALM Governance and the pivotal role of the ALCO

Module 3: Review of Fixed Income Essentials

  • Rates, yields and term structures
  • Fixed income instruments
  • Repurchase agreements

WEEK 2

Module 1: Interest Rate Risk

  • First-order measures of rate and yield sensitivity
  • Determining the duration of a fixed income portfolio
  • First-order rate VaR
  • Second-order rate and yield sensitivity: Convexity
  • Optionality and negative convexity
  • Second-order rate VaR

Module 2: Funding Gap Analysis

  • Funding gaps: maturity and repricing mismatches
  • Managing net interest income

Module 3: Duration Gap Analysis

  • Duration gaps
  • The duration of equity
  • Balance sheet immunization
  • Market value of equity

Module 4: Securitization: An ALM Tool

  • The rationale for securitization
  • Securitization mechanics
  • Cashflow structures
  • ALM applications

Module 5: Case Studies

  • Module 6: Desk Ready Skills Knowledge Check

WEEK 3

Module 1: Interest Rate Risk- Overview & Measurement

  • Modeling interest rate risk
  • Deterministic vs. Stochastic models
  • Arbitrage models
  • Equilibrium models
  • Types of Interest Rate Risks
  • Yield Curve Risk
  • Equilibrium models
  • Basis Risk
  • Macaulay Duration
  • Modified Duration
  • Core Elements of Duration
  • Convexity Concept
  • Duration gap of Equity
  • Earnings versus Shareholder Value
  • Effective Duration
  • Effective Convexity
  • Hedging Duration & Convexity
  • Concept of Negative Duration
  • Key Rate Duration
  • Math of Sensitivity Parameters

Module 2: Measuring Risk Techniques

  • Sensitivity Parameters
  • Simulation Methodologies
  • Rate Shocks
  • Simple Simulation
  • Historical Simulation
  • Monte Carlo Simulation
  • Transfer Pricing as a Tool
  • Value-at-Risk
  • Core Elements of
  • VAR VaR Greeks & Math
  • Correlation & Covariance
  • VaR Methodologies
  • Implementation of VaR

Asset Liability Management Professional Certficate

Learn how to identify, measure and manage the interest rate risk, credit risk and liquidity risk on the balance sheets of firms, with particular emphasis on the balance sheets of financial institutions.

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Instruction Method: Virtual
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Instructor (s): Jack Farmer
Fees: $1,550.00
Enroll Now

WEEK 1

Module 1: Risk Fundamentals

  • Taxonomy of risks
  • Elements of a risk model
  • Risk measures: VaR and expected shortfall
  • Model risk Stress
  • Testing

Module 2: Introduction to ALM

  • Interest rate risk on the balance sheet
  • Liquidity risk on the balance sheet
  • Credit risk on the balance sheet
  • Banking book vs trading book: Hidden risks
  • ALM Governance and the pivotal role of the ALCO

Module 3: Review of Fixed Income Essentials

  • Rates, yields and term structures
  • Fixed income instruments
  • Repurchase agreements

WEEK 2

Module 1: Interest Rate Risk

  • First-order measures of rate and yield sensitivity
  • Determining the duration of a fixed income portfolio
  • First-order rate VaR
  • Second-order rate and yield sensitivity: Convexity
  • Optionality and negative convexity
  • Second-order rate VaR

Module 2: Funding Gap Analysis

  • Funding gaps: maturity and repricing mismatches
  • Managing net interest income

Module 3: Duration Gap Analysis

  • Duration gaps
  • The duration of equity
  • Balance sheet immunization
  • Market value of equity

Module 4: Securitization: An ALM Tool

  • The rationale for securitization
  • Securitization mechanics
  • Cashflow structures
  • ALM applications

Module 5: Case Studies

  • Module 6: Desk Ready Skills Knowledge Check

WEEK 3

Module 1: Interest Rate Risk- Overview & Measurement

  • Modeling interest rate risk
  • Deterministic vs. Stochastic models
  • Arbitrage models
  • Equilibrium models
  • Types of Interest Rate Risks
  • Yield Curve Risk
  • Equilibrium models
  • Basis Risk
  • Macaulay Duration
  • Modified Duration
  • Core Elements of Duration
  • Convexity Concept
  • Duration gap of Equity
  • Earnings versus Shareholder Value
  • Effective Duration
  • Effective Convexity
  • Hedging Duration & Convexity
  • Concept of Negative Duration
  • Key Rate Duration
  • Math of Sensitivity Parameters

Module 2: Measuring Risk Techniques

  • Sensitivity Parameters
  • Simulation Methodologies
  • Rate Shocks
  • Simple Simulation
  • Historical Simulation
  • Monte Carlo Simulation
  • Transfer Pricing as a Tool
  • Value-at-Risk
  • Core Elements of
  • VAR VaR Greeks & Math
  • Correlation & Covariance
  • VaR Methodologies
  • Implementation of VaR

Faculty Profile

Derivatives Virtual Professional Certificate

Learn to price forward and futures contracts. Be familiar with futures contract specifications and market conventions. Understand the valuation of a variety of swap contracts. Learn how to extract credit risk measures from CDS spreads and asset swap spreads. Understand common trading strategies using futures, forwards, swaps and options. Develop a conceptual understanding of the Black-Scholes-Merton option valuation model. Use option sensitivities (the Greeks) to determine the impact of changing model parameters on option prices. Define the risk management measures (The Greeks) and employ them to evaluate movement in option prices. Identify unique risk/reward characteristics of each commonly used option strategy. Differentiate among market participants and the options strategies they are likely to employ. Analyze historical volatility to estimate forecast volatility. Analyze implied volatility: skew and term structure to determine potential volatility trading strategies. Identify the reasons for the various shapes of skew (smile) and term structure. Employ a variety of volatility studies from implied versus historical to intra-day volatility. Identify useful tools for trading and hedging volatility-based strategies.

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Instruction Method: Virtual

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Instructor (s): Jack Farmer & Greg Ciresi

Fees: $1,550

Registration Includes:

  • 9 Online Virtual Sessions with Live Instructors
  • 2 Supplemental Digital Content eLearning Modules
  • Professional Certificate Examination
  • Access to NYIF Alumni Network: a community of over 1 million finance professionals spanning 100 years of education and enjoy exclusive discounts on future NYIF courses

Participants must complete the virtual sessions and eLearning modules as well as pass the examination to receive a NYIF Professional Certificate of Mastery

Enroll Now

RECOMMENDED PREREQUISITE

SUPPLIMENTAL DIGITAL LEARNING COURSE I  

FORWARDS AND FUTURES

Learn to price forward and futures contracts
Use forwards and futures for hedging and speculation

Module 1: Fundamentals (Duration: 1 Hr 40 Mins)
  • Attitudes towards Risks
  • Diversification
  • Market Portfolio
  • Capital Asset Pricing Model
  • Compounded Returns
  • Asset Price Process
  • Unit Zero Coupon Bonds
  • Spot Rates
Module 2: Forwards and Futures Contracts (Duration: 20 Mins)
  • Spot, Forward, and Futures Contracts
  • Trading Volume and Open Interest
Module 3: Forwards and Futures Valuation (Duration: 1 Hr 10 Mins)

 

  • No-Arbitrage
  • Forward Payoffs
  • Cash and Carry Arbitrage
  • Basis and Cost of Carry
  • Financial Assets and FX Forwards
  • Risk-Neutral Valuation
  • Convergence
Module 4: Commodity Markets (Duration: 25 Mins)

 

  • Commodity Markets
  • Crude Oil Forward Curve
  • Commodity Markets Scenarios
  • Seasonal Commodities and No-Arbitrage
Module 5: Hedging with Forwards and Futures (Duration: 25 Mins)

 

  • Hedging
  • Hedging with Equity Index Futures
Module 6: Short Term Financial Forwards and Futures (Duration: 1 Hr)
  • Yield Curves
  • Forward Zeros and Forward Interest Rates
  • Spot and Forward Interest Rate
  • Rate Lock
  • Forward Rate Agreement
  • Eurodollar Futures
  • Federal Funds and FED Funds Futures
Module 7: Long Term Financial Forwards and Futures (Duration: 20 Mins)

 

  • Treasury Futures
Review Quiz (Duration: 45 Mins)

RECOMMENDED PREREQUISITE

SUPPLIMENTAL DIGITAL LEARNING COURSE II

INTEREST RATE SWAP

Learn to price interest rate swaps.
Use interest rate swaps for hedging and speculation.

Module 1: Swap Fundamentals (Duration: 40 Mins)
  • Swaps
  • Simple Swap
  • Swap Price and Value
  • Swap Term Sheet
Module 2: Interest Rate Swaps: Basics (Duration: 2 Hr 25 Mins)
  • Unit Annuity
  • Unit Coupon Bond
  • Floating Rate Notes
  • Forward Rate Agreement
  • Interest Rate Swap
  • The Swap Rate
  • The Swap Rate Cont.
  • BLOOMBERG SWPM 

Module 4: Equity Swaps (Duration: 30 Mins)
Review Quiz (Duration: 45 Mins)

VIRTUAL Course 1: Swaps

Module 1: Advanced Swap Topics: Asset Swaps, Amortizing Swaps

Understand how asset swaps are priced and customized for a specific bond.

  • SOFR Swaps
  • Forward starting swaps
  • Amortizing and accreting swap
  • Asset Swaps
  • Par asset swaps
  • Asset swap spreads vs. CDS spreads

Module 2: Foreign Exchange Swap

Understand how bonds and loans can be swapped into different currencies.

  • Foreign Exchange Markets
  • Managing FX Risk
  • Deliverable and Non-Deliverable Forwards
  • FX Swaps and Cross Currency Swaps

Module 3: Credit Swaps

Understand how credit risk of a bond issuer can be traded separately from its bonds. How a portfolio or basket of credit risks can be hedged with a single instrument.

 

  • Single-name credit default swaps (CDS)
  • ISDA credit definitions
  • CDS market conventions
  • Portfolio Credit Default Swaps
  • iTrax and CDX Basket Default Swaps

VIRTUAL COURSE 2: OPTIONS

Module 4: Option Fundamentals

Understand option terminology and payoff profiles.

Use option sensitivities (the Greeks) to determine the impact of changing model parameters on option prices.

     Option Contract Terms and Conditions
  • The Basics
  • Option Contracts
  • Payoffs of Vanilla Calls and Puts
  • Replication and Put-Call Parity
  • Payoffs and P/L
     Inputs into Option Pricing Models
  • Asset price
  • Strike price
  • Time to expiration
  • Interest rates
  • Dividends
  • Volatility

Module 5: Option Pricing Models

Understand how options are priced

  • Probability: essential concepts
  • Normal and log-normal random variables
  • Pricing models: Binomial and Black-Scholes-Merton

Module 6: Option Portfolio Risk Management

Develop a conceptual understanding of the Black-Scholes-Merton option valuation model for pricing and risk management of option portfolios.

  • The Greeks: Delta, Gamma, Theta, Vega, Rho and Psi
  • Vertical Spreads
  • Calendar Spreads
  • Earnings announcements speculation

VIRTUAL COURSE 3: ADVANCED OPTIONS TRADING

Module 7: Volatility Trading and Applications

Understand the strategies used by speculators and hedgers.

  • Gamma Scalping Example: Remaining delta neutral
  • Volatility Trade Examples
  • Trading The Skew: Other Ways to Hedge

Module 8: Advanced Volatility Concepts: Analytics

  • Historical Volatility
  • Calculating & Interpreting Historical Volatility
  • Other Measures of Historical Volatility
  • Measuring Normal versus Market Implied Distributions

Module 9: Advanced Volatility Concepts: Implied Volatility Surface

  • Volatility Skew
  • Tendencies, Seasonality, Etc.
  • Term Structure of Implied
  • Volatility: Sticky Strike, Sticky Delta
  • Volatility Studies

Faculty Profile

M&A Professional Certificate

Comprehensive analysis of the major facets of the Mergers & Acquisitions industry and the skills engaged in executing all areas of transactions from pre to post-merger integration.

  • How to identify a successful merger or acquisition opportunity
  • How to structure a variety of M&A deals resulting from different circumstances
  • Regulations concerning mergers & acquisitions
  • How to model and utilize free cash flow for capital budgeting and evaluation and integration of acquisitions
  • Accounting for mergers & acquisitions
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Instruction Method: Virtual
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Instructor (s): Chris Manfre
Fees: $1,550.00

Registration Includes:

  • 9 Online Virtual Sessions
  • Professional Certificate Examination
  • 2 Supplemental eLearning Courses
  • Access to NYIF Alumni Network: a community of over 1 million finance professionals spanning 100 years of education and enjoy exclusive discounts on future NYIF courses.

Participants must complete the virtual sessions as well as pass the examination to receive a NYIF Professional Certificate of Mastery

Enroll Now

VIRTUAL COURSE 1: MERGERS AND ACQUISITIONS – CONCEPTS AND THEORIES PART I

Module 1

  • Mergers and Acquisitions Overview
  • Key Drivers of a Successful Acquisition

Module 2

  • Attractiveness of Target Companies
  • Acquisition Structure

Module 3

  • Sequence of Events
  • Documentation and Agreements

VIRTUAL COURSE 2: MERGERS AND Acquisitions – Concepts and Theories Part II

Module 4

  • Managing for Value Creation
  • How Does the Integration Process Affect Value Creation?

Module 5

  • Valuation
  • Financing the Acquisition

Module 6

  • Anti-takeover Mechanisms
  • Anti-trust Policies

VIRTUAL COURSE 3:  MERGERS AND ACQUISITIONS – STRUCTURING THE DEAL PART III

Module 7

  • Legal structures
  • Tax structures
  • Accounting

Module 8

  • Letter of Intent
  • Seller paper, earn outs, hope certificates

Module 9

  • Special cases
  • Tax loss mergers
  • Break-up/sum-of-the-parts/split-offs
  • LBOs
  • Roll-ups, consolidation plays
  • Distressed (Bankruptcy) M&A
  • Special Purpose Acquisition Corp. (SPAC), Blind pool
  • Reverse merger, backdoor IPO

SUPPLEMENTAL DIGITAL E-LEARNING COURSE I

FREE CASH FLOW MODELING

  • Free Cash Flow and the Objectives of the Firm
  • Components of Free Cash Flow
  • Cost of Capital
  • Capital Budgeting Using Free Cash Flow
  • Modified Free Cash Flow
  • Using Free Cash Flow to Evaluate Acquisition Opportunities
  • Integration of Acquisitions

SUPPLEMENTAL DIGITAL E-LEARNING COURSE 2 

ACCOUNTING FOR MERGERS AND ACQUISITIONS 

  • Equity Method of Consolidation
  • Purchase Accounting for Business Combinations
  • Forecasting the Performance of the Combined Company
  • Internal Revenue Code Section 338(g) and 338(h)(10) Transactions

Faculty Profile

Data Analysis & Programming for Finance Professional Certificate

This course will teach you the essential elements of Python and R to build practically useful applications and conduct data analysis for finance.

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Instruction Method: Virtual

Duration: 8:00 AM – 10:00 AM EST (Tues, Wed, and Thurs only)

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Instructor (s): Richard Duan

Start Date: March 19

End Date: April 4

Fees: $1,550.00
Enroll Now

WEEK 1

Module 1: Introduction to Python

  • The Anaconda Python distribution
  • Interactive programming: IPython and Jupyter notebooks
  • Programming: control structures, data types, functions, data structures
  • Modules and Packages

Module 2: Essential Python Toolkit

  • Date and time management : format, measuring time lapse, etc.
  • How to build and run a standalone application
  • Parsing command line arguments
  • Importing/Exporting files
  • Reading and writing in CSV format
  • Accessing SQL databases
  • Multiprocessing
  • Using a dictionary for explicit indexing

Module 3: Arrays, Vectorization, and Random Numbers

  • NumPy: array processing
  • Vectorized functions
  • Random number generation

WEEK 2

Module 1: Introduction to Python

  • Matplotlib: 2D and 3D plotting
  • Using pyplot
  • SciPy: scientific computing
  • Root finding, interpolation, integration and optimization

Module 2: Data Analysis with Python

  • Data analysis with scipy.stats and pandas
  • Pandas data structures: series and data frames
  • Importing and exporting data from/to MS Excel
  • Importing data from websites

Module 3: Python Applications

  • Monte Carlo simulation basics
  • Simulating asset price trajectories
  • Variance reduction techniques
  • Pricing options by Monte Carlo simulation
  • Pricing options by finite difference methods

WEEK 3

Module 1: R Basics

  • The IDE: RStudio
  • R syntax
  • R objects: vectors, matrices, arrays, data frames and lists
  • Flow control: branching, looping and truth testing
  • Importing and manipulating data
  • Plotting with R

Module 2: Data Analysis with R

  • Manipulating data frames
  • Descriptive statistics
  • Inference and time series analysis

Module 3: R Applications

  • Regression analysis
  • Volatility modeling
  • Risk management: VaR and ES

Data Analysis & Programming for Finance Professional Certificate

This course will teach you the essential elements of Python and R to build practically useful applications and conduct data analysis for finance.

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Instruction Method: Virtual

Duration: 8:00 AM – 10:00 AM EST

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Instructor (s): Richard Duan
Start Date: March 19

End Date: April 4

Fees: $1,550.00
Enroll Now

WEEK 1

Module 1: Introduction to Python

  • The Anaconda Python distribution
  • Interactive programming: IPython and Jupyter notebooks
  • Programming: control structures, data types, functions, data structures
  • Modules and Packages

Module 2: Essential Python Toolkit

  • Date and time management : format, measuring time lapse, etc.
  • How to build and run a standalone application
  • Parsing command line arguments
  • Importing/Exporting files
  • Reading and writing in CSV format
  • Accessing SQL databases
  • Multiprocessing
  • Using a dictionary for explicit indexing

Module 3: Arrays, Vectorization, and Random Numbers

  • NumPy: array processing
  • Vectorized functions
  • Random number generation

WEEK 2

Module 1: Introduction to Python

  • Matplotlib: 2D and 3D plotting
  • Using pyplot
  • SciPy: scientific computing
  • Root finding, interpolation, integration and optimization

Module 2: Data Analysis with Python

  • Data analysis with scipy.stats and pandas
  • Pandas data structures: series and data frames
  • Importing and exporting data from/to MS Excel
  • Importing data from websites

Module 3: Python Applications

  • Monte Carlo simulation basics
  • Simulating asset price trajectories
  • Variance reduction techniques
  • Pricing options by Monte Carlo simulation
  • Pricing options by finite difference methods

WEEK 3

Module 1: R Basics

  • The IDE: RStudio
  • R syntax
  • R objects: vectors, matrices, arrays, data frames and lists
  • Flow control: branching, looping and truth testing
  • Importing and manipulating data
  • Plotting with R

Module 2: Data Analysis with R

  • Manipulating data frames
  • Descriptive statistics
  • Inference and time series analysis

Module 3: R Applications

  • Regression analysis
  • Volatility modeling
  • Risk management: VaR and ES

Faculty Profile

Capital Markets Professional Certificate

Choose the best derivative to hedge against risk in real-life financial situations. Calculate the profit or loss on futures trades. Construct a swap and calculate the benefit of the swap to each counterparty. Diversify your investment fund both geographically and by asset class. Describe the role of equity from both the issuer’s and investor’s perspectives. Distinguish among the different types of stock markets. Describe the main methods used in equity valuation. Explain the major steps in the IPO process. Identify the key participants in the IPO process. Apply knowledge to today’s financial situations

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Instruction Method: Virtual

Duration: 8:00 AM – 10:00 AM EST (Fri, Sat, Sun only)

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Instructor (s): Chris Thomas & Jack Farmer
Start Date: March 22

End Date: April 7

Fees: $1,550

Registration Includes:

  • 9 Online Virtual Sessions with Live Instructors
  • 2 Supplemental eLearning Courses
  • Professional Certificate Examination
  • Access to NYIF Alumni Network: a community of over 1 million finance professionals spanning 100 years of education and enjoy exclusive discounts on future NYIF courses.

Participants must complete the virtual sessions and eLearning modules as well as pass the examination to receive a NYIF Professional Certificate of Mastery

Enroll Now

VIRTUAL COURSE 1: EQUITY VALUATION AND INVESTMENT

Identify the purposes and uses of the stock indexes and index products for both targeted and diversified investment strategies

Module 1: Equity Indexes

  • Market Segmentation
  • Index Construction and Weighting
  • Bias, Tracking Error and Rebalancing 
  • Trading and Hedging Strategies using Index Products

Module 2: Equity Valuation

Understand the main financial models used to value stocks relative to market prices.

  • Uses and Limitations of Valuation
  • Valuation Models 
  • Model Inputs
  • Ratio Analysis 
  • Intrinsic Valuation
  • Relative Valuation
  • Equity Risk Premium 
  • Dividend Discount Models
  • Method of Comparables
  • Enterprise Value and Economic Value Added (EVA)
  • Oracle Valuation Case

Module 3: Equity Investment Vehicles

Explore the alternative ways that equity investments can be structured to diversify, maximize return on capital and participate in private and pre-IPO transactions.

  • Mutual Funds
  • Hedge Funds
  • Private Equity
  • Venture Capital

VIRTUAL COURSE 2: EQUITY AND DEBT IPOs AND SECONDARY OFFERINGS

Module 4: Equity and Debt IPOs

Identify the key participants and the major steps in the IPO process and the types of and motivations for secondary shares offerings.

Key Participants

  • Company Management
  • Board of Directors
  • Counsel 
  • Independent Accountants
  • Pre-IPO shareholders
  • Managing Underwriters
  • Underwriter’s Counsel
  • Research Analysts
  • SEC
  • Corporate Bond Issuance

Timing and major steps in IPO process

  • Pre-Organizational Meeting
  • Organizational Meeting
  • Post-Organizational Meeting

Module 5: Equity and Debt Secondary Offerings

  • Primary vs Secondary Offering
  •  Types of Secondary Offerings
  • Motivations for Secondary Offerings

Module 6: IPO Workshop

  • Case Study

VIRTUAL COURSE 3: INTRODUCTION TO DERIVATIVES

  • Characteristics and pricing of futures, forwards and swaps
  • Hedging and speculative uses of equity, fixed income and credit derivatives

Module 7: Futures and Forwards

Identify the different types of futures and forward contracts for equities, bonds and equity indexes. Understand how forward contracts for equities, bonds and equity indexes

  • Futures and Forwards Markets
  • Exchanges, Clearinghouses and OTC
  • Hedging and speculating with Futures
  • Trade Execution
  • Settlement and Margining
  • Bond Futures
  • Index Futures

Module  8: Options

Understand how an options work and how options on stocks, bonds and interest rates can be used to hedge investment risks.

  • History and Evolution of Options Market.
  • Options Terminology
  • Evaluate Risk/Reward – Payoff Profiles & Break-Evens
  • Identify Basic Characteristics of options, caps & floors and swaptions
  • Identify Factors of Options Pricing

Module 9: Swaps and Credit Derivatives

Understand the mechanics and pricing of interest rate and FX swaps.
Identify the risk management and investment use cases for swaps.

  • History and Evolution of Swaps
  • Characteristics & Features of Swaps
  • Fundamentals of Pricing Interest Rate Swaps
  • Application of Interest Rate Swaps to Hedging Situations
  • FX Swaps

SUPPLEMENTAL LEARNING COURSE  I

MONEY MARKETS, FOREIGN EXCHANGE AND TIME VALUE OF MONEY

Module 1: The Major Capital Markets

Module 2: Introduction to Money Markets

Module 3: Introduction to Foreign Exchange

Module 4: Time Value of Money

SUPPLEMENTAL LEARNING COURSE II

BOND AND EQUITY MARKETS, AND FINANCIAL REGULATION

Module 1: Bond Markets

Module 2: Bond Issuance Risks

Module 3: Equity Securities

Module 4: Equity Markets & Trading

Module 5: Regulation of Financial Markets

Faculty Profile

Credit Risk Analysis Professional Certficate

Gain a solid grounding in credit risk fundamentals with the tools and techniques required to perform a credit analysis – utilizing analytical tools to project future performance. Prerequisite knowledge: Basic accounting

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Instruction Method: Virtual
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Instructor (s): Tracy Williams
Fees: $1,550.00
Enroll Now

WEEK 1: February 19-21, 2024 (Mon, Tue, Wed): 9am – 12pm ET

Module 1: Historical financial analysis

  • The Audit 
  • Review of historical patterns and industry performance 
  • Income Statement analysis 
  • Balance Sheet analysis
  • Cash Flow analysis

Module 2: Cash flow analysis

  • Structure of the cash flow statement
  • Sources and Uses
  • Reconciliations including PP &E, Intangibles, Investments, Deferred Taxes, Long term debt, Minority interest and Equity

Module 3: Off-balance-sheet risks

  • Structure of the cash flow statement
  • Sources and Uses
  • Reconciliations including PP &E, Intangibles, Investments, Deferred Taxes, Long term debt, Minority interest and Equity
  • Contingent liabilities
  • Operating leases
  • Debt of joint ventures and unconsolidated subsidiaries
  • Guarantees
  • Take-or-pay contracts and obligations under throughput and deficiency agreements
  • Receivables that have been factored, transferred or securitized
  • Contingent liabilities e.g. potential legal judgments or lawsuit settlements

Module 4: Additional Risks to Consider

  • Financial guarantees, and Performance guarantees
  • Ratings triggers
  • Covenants
  • Revenue recognition
  • Unusual gains and losses
  • Asset write-offs
  • Swap exposures, and FX exposure
  • Pension deficits
  • Securitization
  • Structural subordination
  • Partnerships/SPVs
  • Leases
  • Environmental and Product Liability

WEEK 2: February 26-28, 2024 (Mon, Tue, Wed): 9am – 12pm ET

Module 1: Forecasting

  • Building a forecast-framework and methodology
  • Qualitative and quantitative factors
  • Base, management, and downside cases
  • Critical value drivers
  • Analyzing results- assessing debt capacity, recommending financing alternatives, public versus private, quantifying results and drawing conclusions

Module 2: Structuring & Documentation

  • Investment grade versus non-investment grade
  • Holding company analysis
  • Guarantees, Keepwells, LOMIs
  • Collateral secured versus unsecured
  • Liquidation analysis
  • Borrowing base
  • Covenants
  • Subordination

Module 3: Derivatives

  • Introduction
  • What is credit risk
  • Purpose of credit derivatives
  • Market participants and Role of regulators
  • The Credit Default Family
  • ISDA Agreement
  • Description of vanilla vs. structured derivatives
  • Total Return Swaps and their Characteristics
  • Credit Default Swaps and their Characteristics
  • Risks and Risk Management of Credit Derivatives
  • Credit Operations
  • Market Liquidity
  • Legal Risk Management

Module 4: Case Presentations

  • Participants will present the complete credit analysis for the selected company

Credit Risk Analysis Professional Certficate

Gain a solid grounding in credit risk fundamentals with the tools and techniques required to perform a credit analysis – utilizing analytical tools to project future performance. Prerequisite knowledge: Basic accounting

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Instruction Method: Virtual
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Instructor (s): Tracy Williams
Fees: $1,550.00
Enroll Now

WEEK 1

Module 1: Cash Flow Analysis

  • Structure of the cash flow statement
  • Sources and Uses
  • Reconciliations including PP &E, Intangibles, Investments, Deferred Taxes, Long term debt, Minority interest and Equity
  • Exercise: Participants will complete the cash flow for the selected company

Module 2: Historical Financial Analysis

  • The Audit
  • Review of historical patterns and industry performance
  • Income Statement analysis
  • Balance Sheet analysis
  • Cash Flow analysis
  • Exercise: Participants will work in small groups to complete the FYE analysis

WEEK 2

Module 1: Off-Balance Sheet Items

  • Contingent liabilities
  • Operating leases
  • Debt of joint ventures and unconsolidated subsidiaries
  • Guarantees
  • Take-or-pay contracts and obligations under throughput and deficiency agreements
  • Receivables that have been factored, transferred or securitized
  • Contingent liabilities e.g. potential legal judgments or lawsuit settlements

Module 2: Additional Risks to Consider

  • Financial guarantees
  • Performance guarantees
  • Ratings triggers
  • Covenants
  • Revenue recognition
  • Unusual gains and losses
  • Asset write-offs
  • Swap exposures
  • FX exposure
  • Pension deficits
  • Securitization
  • Structural subordination
  • Partnerships/SPVs
  • Leases
  • Environmental
  • Product liability
  • Exercise: Annual Reports: identifying and recognizing industry and company specific off-balance sheet risks

Module 3: Forecasting

  • Building a forecast-framework and methodology
  • Qualitative and quantitative factors
  • Base, management, and downside cases
  • Critical value drivers
  • Analyzing results- assessing debt capacity, recommending financing alternatives, public versus private, quantifying results and drawing conclusions
  • Exercise: Forecasting the critical value drivers for selected companies

WEEK 3

Module 1: Structuring and Documentation

  • Investment grade versus non-investment grade
  • Holding company analysis
  • Guarantees, Keepwells, LOMIs
  • Collateral secured versus unsecured
  • Liquidation analysis
  • Borrowing base
  • Covenants
  • Subordination
  • Exercise: Due diligence for selected case studies

Module 2: Derivatives

  • Introduction
  • What is credit risk
  • Purpose of credit derivatives
  • Market participants
  • Role of regulators
  • The Credit Default Family
  • ISDA
  • Description of vanilla vs. structured derivatives
  • Total Return Swaps
  • Characteristics
  • Exercise
  • Credit Default Swaps
  • Characteristics
  • Risks and Risk Management of
  • Credit Derivatives Credit
  • Operations
  • Market
  • Liquidity
  • Legal Risk Management

Module 3: Presentations

  • Participants will present the complete credit analysis for the selected company

Module 4: Desk Ready Skills Knowledge Check

Faculty Profile

Technical Analysis Professional Certificate

Apply technical analysis as an important component of security analysis, especially when combined with fundamental analysis. Understand how chart patterns reflect the principles of behavioral finance. Apply specific technical strategies to the investment selection process. Develop trading strategies based on technical theories. Evaluate indicators and patterns based on quantitative analysis.

Discuss the definitions of subjective and objective analysis and review how the different types of analysis can be incorporated into trading decisions. Apply the principles of objective analysis to market data to understand the design of investment trading systems. Develop complete trading strategies including entry and exit rules, position sizing strategies, and risk management techniques. Analyze the historic performance of trading systems in terms of potential rewards and risks.

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Instruction Method: Virtual
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Instructor (s): Michael Carr

Fees: $1,550

Registration Includes:

  • 9 Online Virtual Sessions with Live Instructors
  • Professional Certificate Examination
  • Access to NYIF Alumni Network: a community of over 1 million finance professionals spanning 100 years of education and enjoy exclusive discounts on future NYIF courses

Participants must complete the virtual sessions as well as pass the examination to receive a NYIF Professional Certificate of Mastery

Enroll Now

VIRTUAL COURSE 1

TRADING: FUNDAMENTALS OF TECHNICAL ANALYSIS:

Module 1(A): How Technical Analysis Works

Duration : 1 Hour

  • Introduction
  • Overview of Technical Analysis
  • Why Technical Analysis Works
  • A Framework Based on Wyckoff for Applying Technical Analysis to Trading

Module 1(b): Introduction to Charts

Duration : 1 Hour

  • Popular Chart Types (Line Charts, Bar Charts, Candlesticks)
  • Other Chart Types (Heikin-Ashi candles, Ichimoku, P&F, Kagi, Renko, Percent Swing, Gann Swing, RRG, Spread Charts, Frequency Distribution)

Module 2: Chart Patterns

Duration : 2 Hour

  • Common Patterns (Trends, Support and Resistance Levels, Gaps, Volume)
  • Topping Patterns
  • Bottoming Patterns
    Continuation Patterns
  • Miscellaneous Patterns (including Fibonacci Sequence)
  • Strategy for Trading Charts
  • Interpreting Candlestick Charts

Module 3: Introduction To Technical Indicators

Duration : 2 Hour

  • Most Popular Indicators on Bloomberg
  • Moving Averages
  • RSI Indicator
  • Stochastic
  • Rate of Change (RoC) Indicator
  • MACD
  • Bollinger Bands (including %b and Bandwidth)
  • Channel Strategies (MA Envelops, Keltner, Donchain)

VIRTUAL COURSE 2

TRADING: FUNDAMENTALS OF TECHNICAL ANALYSIS (CONT.)

Module 4: Advanced Technical Indicators

Duration : 2 Hour

  • Other Indicators (ATR, Pivot Points, %R, Stochastic RSI)
  • Trading System Indicators (ADX, DMI, Parabolic SAR)
  • Volume Indicators (OBV, Volume-Weighted Moving Averages, Ease of Movement, Money Flow, Chaikin Money Flow)
  • Sentiment (Survey, VIX, VIX Fix, COT)
  • The Best Indicator

Module 5: Comparative Technical Indicators

Duration : 2 Hours

  • Breadth (Equal Weighted vs Cap Weighted, A/D Indicators, % Stocks Above MA or Indicator)
  • Ratio Spreads (Yield Curves, Market Cap, Style, Pairs Trading)
  • Comparative Relative Strength
  • Combining Relative Strength with Fundamentals

Module 6: Technical Theories

Duration : 2 Hours

  • Cycle Analysis
  • Dow Theory
  • Elliott Wave Theory Overview
  • Seasonals
  • Intermarket Analysis
  • Putting It All Together

VIRTUAL COURSE 3

TRADING: QUANTITATIVE TECHNICAL ANALYSIS

Module 7(A): Subjective VS Objective Analysi

Duration : 1 Hour

  • Introduction
  • Systems Trading vs Discretionary Trading
  • Mean Reversion vs Trend Following
  • Factors to Consider When Designing Systems

Module 7(B):  Algorithmic Trading

Duration : 1 Hour

  • Developing Trading Systems Overview
  • Developing Trading Systems – Determine What to Trade
  • Developing Trading Systems – Determine Trading Frequency
  • Developing Trading Systems – Define the Entry Rules
  • Developing Trading Systems – Define the Exit Rules for Winning Trades
  • Developing Trading Systems – Define the Exit Rules for Losing Trades
  • Developing Trading Systems – Measure Performance
  • Developing Trading Systems – Adapt Parameters
  • Developing Trading Systems – Monitor Performance

Module 8: Backtesting

Duration : 2 Hours

  • Data (Issues to Consider, Timeframe)
  • Optimization
  • Position Sizing (None, Kelly Criterion, Optimal f, Fixed Fractional, Fractional Ratio)
  • Example – Trend Following (Highlights Issues With Data Selection and Optimization)

Module 9: Implementing Quantitative Technical Analysis Strategies

Duration : 2 Hours

  • Strategies for Implementing a Long-Term Strategy in a $25,000 Account
  • Developing Short-Term Strategies

Faculty Profile

Faculty Profile

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Jack Farmer 

NYIF Curriculum Director

Senior adviser for portfolio managers at emerging markets equity funds and global macro hedge funds.

Industry Background:

  • Senior consultant at Accenture’s Financial Services Industry group.
  • Head trader and Chief Strategist at Bank of America, Statistical Arbitrage.

Academic Background:

  • Ph.D. in Finance (ABD) from the University of Texas at Austin.
  • MBA in Finance and Accounting from Tulane University.
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Chris Thomas 

NYIF Senior Lecturer

Investor, researcher, a Chartered Market Technician (CMT) and a contributing editor for Winning Investor Daily. 

Industry Background:

  • Senior Advisor for investor accounts worth more than $200 million and was co-manager of two mutual funds. 

Academic Background:

  • Masters in Business Administration, Webster University. 
  • Chartered Market Technician (CMT). 
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Chris Manfre 

NYIF Senior Lecturer 

Managing director at Bardi Co. LLC, a boutique investment bank based in Los Angeles that is specialized in private placements and M&A 
Faculty at the Graziadio School of Business, Pepperdine University, where he teaches finance at the graduate level. 

Industry Background:

  • Financial advisor and strategic consultant to both domestic and international corporations as related to M&A; divestiture, joint venture, corporate restructuring, and financing transactions. 

Academic Background:

  • Ph.D. in Finance (ABD) from the University of Texas at Austin.
  • MBA in Finance and Accounting from Tulane University.
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Michael Carr 

NYIF Senior Lecturer

Investor, researcher, a Chartered Market Technician (CMT) and a contributing editor for Winning Investor Daily. 

Industry Background:

  • Senior Advisor for investor accounts worth more than $200 million and was co-manager of two mutual funds. 

Academic Background:

  • Masters in Business Administration, Webster University. 
  • Chartered Market Technician (CMT). 

FAQs

“Virtual” classes are live Instructor-led Zoom sessions (Online Video Confrence Software). Typtically between 08:00 AM to 010:00 PM Eastern Standard Time (EST)

Yes, you will be able to interact with and ask questions to your instructors in real time during class( Via microphone or the chat feature) You can also post your questions on NYIF’s e-learning platform outside class hours.

NYIF is licensed by the New York State Education Department (NYSED) and registered with the National Association of State Boards of Accountancy (NASBA). NYIF also is registered with IACET, HRCI, GARP, WOS, CFRE, and more

There are no admission requirements. There is only suggested pre-requisite knowledge.

You can register and pay for the program through our online payment portal that accepts bank transfer, check, or debit/credit card. We also accept financing with Affirm, a loan service, that offers a monthly payment plan for US & Candian purchases only.

Yes, It will be sent via email after registration with the order confirmation.

Yes, you will be able to download the PDF of the presentations, and the supplementary Excel/Word files.

Students will be issued a Certificate of Completion for attending the course. In addition, a Certificate of Mastery issued after successfully passing the Final Exam with 70% or better. 

Continuing Professional Education Credits are granted upon passing the Final Exam.

Final Exam is multiple-choice questions, open-book, timed, and proctored https://www.proctoru.com/portal/nyif. Students can use slides, notes, e-books, calculators, and have bathroom/vanity breaks etc.

Yes, students can retake the Final Exam for a nominal fee of $300 USD.

Yes, You will be able to download an electronic version of your certificate. If you request a hard copy of your certificate, a processing and shipment fee will apply.

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