Instructor Information

Moustapha Pemy

Home Phone: 443-725-4306
Work Phone: 240-328-4513
Cell Phone: 240-328-4513

Course Information

Course Description

The concept of options stems from the inherent human desire and need to reduce risks. This course starts with a rigorous mathematical treatment of options pricing, and related areas by developing a powerful mathematical tool known as Ito calculus. We introduce and use the well-known field of stochastic differential equations to develop various techniques as needed, as well as discuss the theory of martingales. The mathematics will be applied to the arbitrage pricing of financial derivatives, which is the main topic of the course. We treat the Black-Scholes theory in detail and use it to understand how to price various options and other quantitative financial instruments. Topics covered in the course include options strategies, binomial pricing, Weiner processes and Ito’s lemma, the Black-Scholes-Merton Model, futures options and Black’s Model, option Greeks, numerical procedures for pricing options, the volatility smile, the value at risk, exotic options, martingales and risk measures. Course Note(s): This class is distinguished from EN.625.641 Mathematics of Finance: Investment Science (formerly 625.439) and EN.625.714 Introductory Stochastic Differential Equations with Applications, as follows: EN.625.641 Mathematics of Finance: Investment Science gives a broader and more general treatment of financial mathematics, and EN.625.714 Introductory Stochastic Differential Equations with Applications provides a deeper (more advanced) mathematical understanding of stochastic differential equations, with applications in both finance and non-finance areas.

Prerequisites

Multivariate calculus, linear algebra and matrix theory (e.g., EN.625.609 Matrix Theory), and a graduate-level course in probability and statistics (such as EN.625.603 Statistical Methods and Data Analysis).

Course Goal


  • To study Mathematical tools and techniques used for pricing and hedging financial derivatives
  • To analyse the Black-Scholes Model and its extensions such as Jump Diffusion Models,  Stochastic Volatility Models, and Regime Switching Models.
  • To introduce Stochastic Differential Game Theory and its applications to financial economics.  

Course Objectives


  • By the end of the course, students should be able to:
    • Evaluate and price financial derivatives using Ito's calculus, stochastic differential equations, Martingales and partial differential equations.
    • Develop and calibrate Jump Diffusion, Regime Switching and Stochastic  Volatility models to describe asset fluctuations and hedge portfolios.

When This Course is Typically Offered

Syllabus

  • Ito Calculus
  • Stochastic Differential Equations
  • Martingale Theory
  • Derivative Pricing
  • Black-Scholes theory
  • Jump Diffusion Models
  • Stochastic Volatility Models
  • Regime Switching Models
  • Differential Games

Student Assessment Criteria

Homework 40%
Midterm 30%
Final 30%

Textbooks

Textbook information for this course is available online through the MBS Direct Virtual Bookstore.

Course Notes

There are no notes for this course.

(Last Modified: 11/06/2013 10:58:38 PM)