Program Overview
Program Overview
The Math 86: Mathematical Finance I program is designed to provide students with a thorough understanding of discrete-time analogs of questions arising in finance from a mathematical viewpoint.
Course Description
In their simplest form, derivatives can be thought of as insurance policies that protect their holders from financial uncertainties. The course will consider the discrete-time analogs of these and other questions arising in finance, developing important mathematical ideas found in discrete probability and showing how these concepts can be used to construct a discrete-time model in which to explore questions appearing in finance.
Topics Covered
- Reading & Writing Proofs
- Finite Probability Spaces: sample space, sigma-algebras, random variables, expectation, (discrete-time) stochastic processes, filtrations, conditional expectation, martingales & Markov processes
- Change of Measure and the (Discrete) Radon-Nikodym Derivative
- The Binomial Asset Pricing Model
- No-Arbitrage Pricing and the Risk-Neutral/Equivalent-Martingale Measure
- Stopping Times and American Derivatives
- Random Walks: the Discrete-Time Version of Brownian Motion
- Stochastic Interest Rates & Fixed Income Derivatives
Prerequisites
- Math 60 or Math 20 and 40
- Math 23
- COSC 1
Textbook
Stochastic Calculus for Finance I: the Binomial Asset Pricing Model, Steven E. Shreve (Carnegie Mellon University), 2004
Tentative Syllabus
| Chapters |Brief Description
---|---|---
Week 1 & 2 |1 | No Arbitrage Pricing and the binomial asset pricing model; risk-neutral measure
Week 2 & 3 |2 | Discrete probability: finite probability spaces, random variables, conditional expectation, filtrations, martingales & Markov processes
Week 3 & 4 |2 | Discrete probability: finite probability spaces, random variables, conditional expectation, filtrations, martingales & Markov processes
Week 4 & 5 |3 | Change of Measure & the Radon-Nikodym Derivative
Week 5 & 6 |4 | American Derivatives: stopping times, path independent & dependent options
Week 6 & 7 |5 | Random Walks
Week 7 & 8 |6 | Fixed Income Securities
Week 8 & 9 |1-6 | Review (of Math 86) & Preview (of Math 96)
Deliverables & Grading Guide
- Midterm Exam: Date, Time and Location TBD (Closed Book)
- Cumulative Final Exam: Friday, Nov. 21, 3-6 PM, Location TBD by Registrar, (Closed Book)
- Weekly Homework: Assignments should be written neatly and presented using complete sentences. Collaboration is encouraged, but final write-ups must reflect individual understanding. Acknowledgment of consulted individuals is required. No late homework will be accepted.
- Term Project: 15%
- Homework: 15%
- Midterm Exam: 30%
- Cumulative Final Exam: 40%
Students with Disabilities
If you have a disability and require disability-related accommodations, please speak with the instructor or Ward Newmeyer, Director of Student Accessibility Services, as soon as possible to find a remedy.
