MATH 96: MATHEMATICAL FINANCE II
Syllabus: Spring 2024 Instructors: Erik van Erp, John W. Welborn
Location: Haldeman 046 Email: johannes.van.erp@dartmouth.edu
Tue/Thu: 2:25 – 4:15 PM Email: John.W.Welborn@dartmouth.edu
Wed X-Hour: 5:30 – 6:20 PM Office Hours: By Request
COURSE DESCRIPTION
This course is a continuation of MATH 86 with an emphasis on the mathematics underlying fixed income derivatives. Topics may include exotic derivative pricing, stochastic calculus, Radon-Nikodym derivative and change of measure, Girsanov's theorem, the Martingale representation theorem, interest rate models (e.g., H-J-M, Ho-Lee, Vasicek, C-I-R), interest rate derivatives, interest rate trees and model calibration, and credit derivatives.
PREREQUISITES
MATH 86, and MATH 23
COURSE TEXTBOOKS
Baxter, Martin., and Andrew Rennie. 1996. Financial Calculus: An Introduction to Derivative Pricing. Cambridge: Cambridge University Press. Available online.
Derman, E., & Miller, M. B. 2016. The Volatility Smile. Wiley. Available online.
Gatheral, J. 2006. The Volatility Surface: A Practitioner’s Guide. John Wiley & Sons. Available online.
Wilmott, Paul. 2007. Paul Wilmott Introduces Quantitative Finance. 2nd ed. Chichester, West Sussex, England: J. Wiley & Sons Ltd. Available online.
Wilmott, Paul. 2006. Paul Wilmott on quantitative finance (2nd ed.). John Wiley & Sons. Available online.
Wilmott, P., Howison, S., & Dewynne, J. 1995. The mathematics of financial derivatives: a student introduction. Cambridge University Press. Available online.
GRADING:
Problem Sets: 50%
Final Exam: 30%
Final Project: 20%
EXAMS
The final exam (30%) will be open book and open note. Do your own work and adhere to the Academic Honor Principle. Students who require testing accommodations must contact us as soon as possible and provide the appropriate documentation.
FINAL PROJECT
Your final project (20%) should connect to a topic covered in Math 96: Mathematical Finance II. Students are encouraged to consider either an empirical or theoretical project. Potential topics include local volatility modeling, exotic options pricing formulae, numerical methods, and jump diffusion processes. Projects will be graded on novelty, quality, technical proficiency, and research. Final project groups may be up to 2 students in size, or you may work on your own.
PROBLEM SETS
There will be weekly problem sets due throughout the term worth a total of 50% of your grade. For homework assignments, you may work in groups of no more than 2. To complete the assignment, upload a single, clear, and legible PDF and Jupyter notebook (as needed) to Canvas.
ASSIGNMENT PREPARATION GROUPS
Students are expected to prepare problem set assignments and final projects in groups. If you do not wish to choose your own group, then you will be assigned to a group using Canvas’s random sorting algorithm. If your assigned group is not a good fit, or if you prefer to work on your own, then please contact the professors. Be respectful, responsive, and professional.
ACADEMIC HONOR PRINCIPLE
Fundamental to the principle of independent learning are the requirements of honesty and integrity in the performance of academic assignments, both in and out of the classroom. Dartmouth operates on the principle of academic honor, without proctoring of examinations. Any student who submits work which is not his or her own, or commits other acts of academic dishonesty, violates the purposes of the college and is subject to disciplinary actions, up to and including suspension or separation. All students must follow the Academic Honor Principle.
MENTAL HEALTH
The academic environment at Dartmouth is challenging, our terms are intensive, and classes are not the only demanding part of your life. There are a number of resources available to you on campus to support your wellness, including your undergraduate dean (http://www.dartmouth.edu/~upperde/), Counseling and Human Development (http://www.dartmouth.edu/~chd/), and the Student Wellness Center (http://www.dartmouth.edu/~healthed/).
STUDENT ACCESSIBILITY NEEDS
Students requesting disability-related accommodations and services for this course are required to register with Student Accessibility Services (SAS; Apply for Services webpage; student.accessibility.services@dartmouth.edu; 1-603-646-9900) and to request that an accommodation email be sent to me in advance of the need for an accommodation. Then, students should schedule a follow-up meeting with me to determine relevant details such as what role SAS or its Testing Center may play in accommodation implementation. This process works best for everyone when completed as early in the quarter as possible. If students have questions about whether they are eligible for accommodations or have concerns about the implementation of their accommodations, they should contact the SAS office. All inquiries and discussions will remain confidential.
RELIGIOUS OBSERVANCES
Dartmouth has a deep commitment to support students’ religious observances and diverse faith practices. Some students may wish to take part in religious observances that occur during this academic term. If you have a religious observance that conflicts with your participation in the course, please meet with me as soon as possible—before the end of the second week of the term at the latest—to discuss appropriate course adjustments.
COURSE OUTLINE
Lecture |
Date |
Topic |
Reading(s) |
Prof |
Psets |
1 |
Tue 26-Mar |
Exotic and Path-Dependent Options |
Wilmott 11 |
JW |
|
2 |
Thu 28-Mar |
Historical volatility and OHLC |
|
EvE |
|
3 |
Tue 02-Apr |
Multi-Asset Options and Quantos |
Wilmott 12, Baxter 4.3 |
JW |
|
4 |
Thu 04-Apr |
VIX and variance swaps |
Derman 4 |
EvE |
PS1 |
5 |
Tue 09-Apr |
Bloomberg and Exotic Options |
|
JW |
|
6 |
Thu 11-Apr |
Time-dependent volatility |
Derman 13 |
EvE |
|
7 |
Tue 16-Apr |
Barrier Options |
Wilmott 13, Wilmott (1995) |
JW |
|
8 |
Thu 18-Apr |
The implied tree of Derman-Kani |
DK ’94, Derman 14 |
EvE |
PS2 |
9 |
Tue 23-Apr |
Short Selling |
Natenberg |
JW |
|
10 |
Thu 25-Apr |
Local volatility and Dupire's equation |
Derman 15 |
EvE |
|
11 |
Tue 30-Apr |
Fixed Income Products |
Wilmott 14 |
JW |
|
12 |
Thu 02-May |
From local to stochastic volatility |
|
EvE |
PS3 |
13 |
Tue 07-May |
One-Factor IR Modeling and Curve Fitting |
Wilmott 16, 17 |
JW |
|
14 |
Thu 09-May |
The Heston stochastic vol model |
|
EvE |
|
15 |
Tue 14-May |
Interest Rate Derivatives |
Wilmott 18 |
JW |
|
16 |
Thu 16-May |
The Hull-White stochastic vol model |
Derman 21 |
EvE |
|
17 |
Tue 21-May |
Portfolio Management |
Wilmott 21 |
JW |
PS4 |
18 |
Thu 23-May |
The valuation PDE for stochastic vol; SV with jumps. |
Derman 20 |
EvE |
|
|
Tue Mar 28 |
Final Projects Due + Presentations |
|
JW |
|
|
Thu May 30 |
Final Exam starts |
|
|
|
|
Mon Jun 3 |
Final Exam due @ Noon |
|
|
|