Financial Derivatives: A Quantitative Finance View

Here is a sampling of some of the main topics that we’ll cover on your journey into the quant profession:

• Interest rate fundamentals
• Periodic and continuous compounding
• Discounted cash flow analysis
• Bond analysis
• The fundamentals of equity, currency, and commodity assets
• Portfolio modelling
• Long and short positions
• The principle of arbitrage
• The Law of One Price
• Forwards, futures, and swaps
• Risk management principles
• Futures hedging
• Stochastic processes
• Time series concepts
• The real statistics of asset prices: volatility clustering and autocorrelation
• Fat-tailed distribution and their importance for financial assets
• Brownian motion
• The log-normal model of asset prices
• Options
• Put-call parity
• The binomial model of option pricing
• The Black-Scholes theory and formula
• Option greeks: delta, gamma, and vega
• Dynamic hedging
• Volatility trading
• Implied volatility

Includes Python tools

Python based tools are now included for computations with bonds, yield curves, and options.  All software that is part of this course is released under a permissive MIT license, so students are free to take these tools with them and use them in their future careers, include them in their own projects, whether open source or proprietary, anything you want!

So Sign Up Now!

Accelerate your finance career by taking this course, and advancing into quantitative finance.  With 23 hours of lectures and supplemental course materials including 10 problem sets and solutions, the course content is equivalent to a full semester college course, available for a fraction of that price, not to mention a 30 day money back guarantee.  You can’t go wrong!