In this course you will simulate the time evolution of prices of financial assets, use the Black-Scholes model to price European or Asian options and compute the Value-at-Risk of a portfolio. The approach is hands-on with a strong emphasis on practical simulations that you will program, run and explore in your own computer.Certification
You will receive a certificate of participation after having completed at least 75% of the course learning activities (videos, quizzes and homework).Learning objectives
At the end of this course you will know how to answer the following questions:
- Why are random numbers needed in quantitative finance? And, if they are random, how can they be used to give precise, accurate answers to quantitative financial problems?
- What is the Black-Scholes model?
- What is geometric brownian motion and how can it be used to simulate the evolution of asset prices in financial markets?
- How are Monte Carlo methods used to determine the right price of a derivative product, such as a European call option?
- What is the theory of copulas and how can it be used to model general dependencies among financial assets?
- How is financial risk modeled, characterized and quantified?
You will need between 5 and 8 hours of work per week during a total of 12 weeks to complete all the learning activities, including the homework.Prior knowledge
The course is geared to students not only in economics and finance, but also in mathematics, computer science, engineering, physics and the natural sciences.
No knowledge of finance is required.
Basic knowledge of Calculus (integration and differentiation, Taylor series), Linear Algebra (matrices, determinants, eigenvalues and eigenvectors) and Probability (random variables, probability density and cumulative distribution functions) at an introductory undergraduate level is strongly recommended.
Programming knowledge is recommended. We will be designing simulations that can be executed in either GNU Octave or in Matlab. The programs will be short, intuitive, fully documented and easy to follow. Yet they will be powerful tools under your control, and will allow you to explore, experiment and learn at your own initiative.