Skip to content

About

Here you will find materials for the course of Computational Finance

Resources

Stars

934 stars

Watchers

18 watching

Forks

Latest commit

 

History

18 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Computational-Finance-Course

Here you will find materials for the course of Computational Finance

YouTube lectures you can find at: https://www.youtube.com/ComputationsInFinance

The course is based on the book: "Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes", by C.W. Oosterlee and L.A. Grzelak, World Scientific Publishing, 2019.

The website of the book is: https://LechGrzelak.com

Content of the course:

Lecture 1- Introduction and Overview of Asset Classes
Lecture 2- Stock, Options and Stochastics
Lecture 3- Option Pricing and Simulation in Python
Lecture 4- Implied Volatility
Lecture 5- Jump Processes
Lecture 6- Affine Jump Diffusion Processes
Lecture 7- Stochastic Volatility Models
Lecture 8- Fourier Transformation for Option Pricing
Lecture 9- Monte Carlo Simulation
Lecture 10- Monte Carlo Simulation of the Heston Model
Lecture 11- Hedging and Monte Carlo Greeks
Lecture 12- Forward Start Options and Model of Bates
Lecture 13- Exotic Derivatives
Lecture 14- Summary\

About

Here you will find materials for the course of Computational Finance

Resources

Stars

934 stars

Watchers

18 watching

Forks

Releases

Packages

Contributors

Languages