Financial Derivatives: A Quantitative Finance View
- Offered byUDEMY
Financial Derivatives: A Quantitative Finance View at UDEMY Overview
Duration | 27 hours |
Total fee | ₹8,640 |
Mode of learning | Online |
Credential | Certificate |
Financial Derivatives: A Quantitative Finance View at UDEMY Highlights
- The Program comes with 30-Day Money-Back Guarantee
- The course is offered through 5 articles and 29 downloadable resources, comes with an Lifetime access to the content through mobile and TV
- Python based tools are provided for computations with bonds, yield curves, and options
- Course has been created by a mathematician and financial quant holding a Ph.D. from the Courant Institute of Mathematical Sciences at NYU
Financial Derivatives: A Quantitative Finance View at UDEMY Course details
- Technical and Finance professionals who want to learn about quantitative finance and improve their quantitative skills and learn how to analyze derivative products.
- Introduction
- Fundamentals
- Arbitrage
- Forwards, Futures, and Swaps
- Stochastic Processes and Asset Prices
- Options
- Learn the limitations of the Black-Scholes theory, and how it is used in practice and use of derivatives to control and manage financial risk
- Understand the Black-Scholes theory and formula intuitively, avoiding stochastic calculus, Price forwards, futures, swaps and options
Financial Derivatives: A Quantitative Finance View at UDEMY Curriculum
Lecture Series 1
Introduction
Lecture Series 2
Interest Rates
Interest Rates: General Considerations
Interest Rates and Future Values
Compounding Conventions
Investment Return Measures
Interest Rate Conversions
Continuous Compounding
The Time Value of Money
Present Value
Discount Factors
Discounted Cash Flow Analysis
Bonds and Discounted Cash Flow Analysis
Yield to Maturity
Python Tools: Bonds
Simple Interest and Day Count Conventions
LIBOR
Fed Funds Rate
SONIA: The Sterling Overnight Index Average
SOFR: The Secured Overnight Financing Rate
Yield Curves and Discount Curves
Python Tools: Yield Curves I
Bootstrapping Spot Curves from Bonds
Bootstrapping Spot Curves from Bonds II
Python Tools: Yield Curves II
Interest Rates: Default Assumptions
Equity Assets: Stock
Commodities
Modelling Portfolios
Foreign Currencies
Dividends, Convenience Yields, and Storage
Long and Short Positions
Long/Short Example
Lecture Series 3
The Arbitrage Concept
Arbitrage: Formal Definition
Arbitrage Example #1
Arbitrage Example #2
The Law of One Price
Law of One Price: Extensions and Examples
Arbitrage and Discounted Cash Flow Analysis
Lecture Series 4
Derivatives
Derivative Markets
Forward Contracts
Forward Payoffs
Pricing Forward Contracts
The Cash and Carry Arbitrage
Forward Example: A Zero Coupon Bond
Forward Example: A Stock (No Dividends)
Forwards on Assets Paying a Known Income
Forward Valuation with Known Income
Forwards on Assets Paying a Known Yield
Forward Example: A Dividend Paying Stock
FX Forwards
FX Forward Examples
Futures Contracts
Futures Prices
Futures Marking to Market
Futures: Margin Accounts
Futures Prices and Spot Prices
Convergence of Futures Prices to Spot Prices
Futures Contracts and Cash Exposures
Futures Hedging
Futures Hedging Example #1
Futures Hedging and Basis Risk
Futures Hedging Example #2
Futures Hedging Example #3
Speculation and Leverage with Futures
A Futures Speculating Example
The LIBOR Spot Curve
Forward Interest Rates
Forward Rate Agreements
FRA Valuation
Eurodollar Futures
Swaps
Pricing Swaps
Swap Example #1
Swap Example #2
Building a LIBOR Curve: Overview
Building a LIBOR Curve: the Short End
Building a LIBOR Curve: the Midrange
Building a LIBOR Curve: the Long End
Python Tools: Yield Curves III
Lecture Series 5
Stochastic Processes: The Fundamental Idea
Stochastic Processes: Formalities
Time Series Statistics
Fat-Tailed Distributions
Asset Return Measures
The Stylized Facts of Asset Prices
Volatility Clustering
Asset Return Autocorrelation
Fat Tails of Asset Returns
Random Walks
The Distribution of Random Walks
Random Walks as Models for Asset Prices
Random Walks and Efficient Markets
Brownian Motion
Brownian Motion with Drift
Brownian Motion and Asset Prices
The Log-Normal Model
The Log-Normal Model and Asset Prices
Lecture Series 5
Options
Option Payoffs
Arbitrage Bounds on Options: Geometry
Arbitrage Bounds on Option Prices
Arbitrage Inequality #1
Arbitrage Inequality #3
Extensions and Applications of Option Bounds
Bounds on American Options
The Geometry of Put-Call Parity
Put-Call Parity
The Binomial Model: 1 Step
The 1 Step Binomial Model: The General Case
1 Step Risk Neutral Pricing
A 1 Step Risk Neutral Pricing Example
The Binomial Model: 2 Steps
The Distribution in the 2 Step Binomial Model
The Full Binomial Model
Call Pricing in the Binomial Model
Binomial Approximation to a Log-Normal
The Black-Scholes Formula
Flaws of the Black-Scholes Theory
The Black-Scholes Theory in Practice
Option Greeks
Option Theta and Time Decay
Python Tools: Options
Dynamic Hedging and Delta Neutral Trading
Options and Volatility Trading
Implied Volatility