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Welcome to choose this class~! The syllabus will mostly stay stable as of Aug. 16th, but might be
subject some minor updates throughout the semester. - Test 2 have been moved to 10/11 Monday.
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Following the suggestion by University, we will impose a strict face covering policy (see below)
throughout the semester.
- Contact
- Course description
- Textbook
- Coverage
- Prerequisite
- Students obligations
- Assignments
- Attendance
- Assessment
- Slides
- Tentative schedule
- Face Covering Policy
- Honor code
- Accessibility
- Harassment and Discrimination
- Acknowledgement
Instructor | Dr. Le Chen |
le.chen@auburn.edu | |
Class Time | MWF, 10:00 -- 10:50 |
Class Room | PARKR 228 |
Office hours | MW, 13:00 -- 14:00, or via appointment/Zoom upon request |
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When you send us emails, please do include the keyword
MATH 5870
orMATH 6870
in the subject field of your email to ensure a timely response. -
In case you want to make an appointment with the instructor via Zoom, here is the link:
https://auburn.zoom.us/j/8141875411
The course serves as an introduction to mathematical aspects of pricing of financial derivatives including the Black-Scholes model and the binomial option pricing model. Topics also include partial differential equations and relevant numerical methods.
The following two books will be the main references for this course:
- "The Mathematics of Financial Derivatives: A Student Introduction", by Paul Wilmott, Sam Howison, and Jeff Dewynne, Cambridge University Press, ISBN: 978-0521497893
- "Derivatives Markets", 3rd edition, by McDonald, R.L., Pearson Education, ISBN: 978-0-32154-308-0.
- All Access
The course will cover the following topics
- Introduction to options and other financial derivatives.
- Binomial option pricing.
- Brownian motion.
- Stochastic integration.
- Stochastic differential equation.
- Ito's formula.
- Introduction to partial differential equations.
- Black-Scholes PDE and heat equation.
- Numerical solutions of PDE.
The course is designed for the first time by the instructor. The content of the subject is huge and we can only try to cover a subset of the content of the book -- Derivatives Markets. We have selected 13 chapters as listed below in the slides session, among which we will make some further selections of topics from these 13 Chapters throughout the semester.
- MATH 1610, 1620, 2650
- STAT 3600
- Some programming ability.
In order to successfully master the material and complete the course, you are expected to
- Read the textbooks and attend the lectures.
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Take the advantage of the office hours, which give you additional chance to interact with the
instructor. - Complete midterm tests and quizzes. Complete the semester project and make a presentation.
- Do not hesitate to ask for help whenever needed.
Note: The syllabus was created in March 2021, and it is subject to changes during the semester.
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Homework assignments will be given based on chapters, which will not be collected.
- Check the problem part in the slides session below.
- Six quizzes and three tests will be given throughout the semester on Fridays; see the table below.
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A semester project will be assigned. For this project, you need to provide your own analysis,
write your codes, and run numerical simulations. You need to make a short presentation in the last
week of the semester. - Please note down the above dates. No late tests/quizzes will be given.
- More details will come during the semester.
- We might randomly check the attendance during the semester but not at each class meeting.
- Attendance will not directly counted into your final score.
- But sufficient attendance will make your eligible for grade curving at the end of semester.
- The final score will be determined as follows:
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Based on the final score (plus potential bonus points), the final letter grade will be
determined as follows:Grade (+) Grade Grade (-) A 92%-100% A- 90%-91.9% B+ 87%-89.9% B 82%-86.9% B- 80%-81.9% C+ 77%-87.9% C 72%-76.9% C- 70%-71.9% D+ 67%-67.9% D 67%-67.9% D- 60%-61.9% F 0%-59.9%
- Slides will be provided and updated constantly throughout the semester over here.
Chapter/Section | Slides | Slides |
---|---|---|
Chapter 1: Introduction to Derivatives | presentation | compact |
1.1. What is a derivative? | pres. | comp. |
1.2. The role of financial markets | pres. | comp. |
1.3. The use of derivatives | pres. | comp. |
1.4. Buying and short-selling financial assets | pres. | comp. |
1.5. Problems | pres. | comp. |
Chapter 2: An Introduction to Forwards and Options | presentation | compact |
2.1. Forward contracts | pres. | comp. |
2.2. Call options | pres. | comp. |
2.3. Put options | pres. | comp. |
2.4. Summary of forward and option positions | pres. | comp. |
2.5. Problems | pres. | comp. |
Chapter 3: Insurance, Collars, and Other Strategies | presentation | compact |
3.1. Basic insurance strategies | pres. | comp. |
3.2. Put-call parity | pres. | comp. |
3.3. Spreads and collars | pres. | comp. |
3.4. Speculating on volatility | pres. | comp. |
3.5. Problems | pres. | comp. |
Chapter 5: Financial Forwards and Futures | presentation | compact |
5.1. Alternative ways to buy a stock | pres. | comp. |
5.2. Prepaid forward contracts on stock | pres. | comp. |
5.3. Forward contracts on stock | pres. | comp. |
5.4. Futures contracts | pres. | comp. |
5.5. Problems | pres. | comp. |
Chapter 9: Parity and other option relationships | presentation | compact |
9.1. Put-call parity | pres. | comp. |
9.2. Generalized parity and exchange options | pres. | comp. |
9.3. Comparing options with respect to style, maturity, and strike | pres. | comp. |
9.4. Problems | pres. | comp. |
Chapter 10: Binomial Option Pricing: Basic Concepts | presentation | compact |
10.1. A one-period Binomial tree | pres. | comp. |
10.2. Constructing a Binomial tree | pres. | comp. |
10.3. Two or more binomial periods | pres. | comp. |
10.4. Put options | pres. | comp. |
10.5. American options | pres. | comp. |
10.6. Options on other assets | pres. | comp. |
10.7. Problems | pres. | comp. |
Chapter 11: Binomial Option Pricing: Selected Topics | presentation | compact |
11.1. Understanding Early Exercise | pres. | comp. |
11.2. Understanding risk-neutral pricing | pres. | comp. |
11.3. The Binomial tree and lognormality | pres. | comp. |
11.4. Problems | pres. | comp. |
Chapter 12: The Black-Scholes Formula | presentation | compact |
12.1. Introduction to the Black-Scholes formula | pres. | comp. |
12.2. Applying the formula to other assets | pres. | comp. |
12.3. Option Greeks | pres. | comp. |
12.4. A. The standard normal distribution | pres. | comp. |
12.5. B. Formulas for option Greeks | pres. | comp. |
12.6. Problems | pres. | comp. |
Chapter 13: Market-Making and Delta-Hedging | presentation | compact |
13.1. What do market-makers do? | pres. | comp. |
13.2. Market-maker risk | pres. | comp. |
13.3. Delta-Hedging | pres. | comp. |
13.4. The mathematics of Delta-hedging | pres. | comp. |
13.5. The Black-Scholes analysis | pres. | comp. |
13.6. Market-Making as insurance | pres. | comp. |
13.7. Problems | pres. | comp. |
Chapter 14: Exotic Options: I | presentation | compact |
14.1. Introduction | pres. | comp. |
14.2. Asian options | pres. | comp. |
14.3. Barrier options | pres. | comp. |
14.4. Compound options | pres. | comp. |
14.5. Gap options | pres. | comp. |
14.6. Exchange options | pres. | comp. |
14.7. Problems | pres. | comp. |
Chapter 18: The Lognormal Distribution | presentation | compact |
18.1. The normal distribution | pres. | comp. |
18.2. The lognormal distribution | pres. | comp. |
18.3. A lognormal model of stock prices | pres. | comp. |
18.4. Lognormal probability calculations | pres. | comp. |
18.5. A. The expectation of a lognormal variable | pres. | comp. |
18.6. B. Constructing a normal probability | pres. | comp. |
18.7. Problems | pres. | comp. |
Chapter 19: Monte Carlo Valuation | presentation | compact |
19.1. Computing the option price as a discounted expected value | pres. | comp. |
19.2. Computing random numbers | pres. | comp. |
19.3. Simulating lognormal stock prices | pres. | comp. |
19.4. Monte Carlo valuation | pres. | comp. |
19.5. Efficient Monte Carlo valuation | pres. | comp. |
19.6. Valuation of American options | pres. | comp. |
19.7. The Poisson distribution | pres. | comp. |
19.8. Simulating jumps with the Poisson distribution | pres. | comp. |
19.9. Simulating correlated stock prices | pres. | comp. |
19.10. Problems | pres. | comp. |
Chapter 20: Brownian Motion and Ito Lemma | presentation | compact |
20.1. The Black-Scholes assumption about stock prices | pres. | comp. |
20.2. Brownian motion | pres. | comp. |
20.3. Geometric Brownian motion | pres. | comp. |
20.4. The Ito formula | pres. | comp. |
20.5. The Sharpe ratio | pres. | comp. |
20.6. Risk-neutral valuation | pres. | comp. |
20.7. Problems | pres. | comp. |
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Below is the tentative schedule that may change during the semester:
Monday -- Friday Coverage Test/Quizzes on Friday Misc Week 1 08/16 -- 08/20 Week 2 08/23 -- 08/27 Quiz 1 Week 3 08/30 -- 09/03 Quiz 2 Week 4 09/06 -- 09/10 Test 1 Week 5 09/13 -- 09/17 Week 6 09/20 -- 09/24 Quiz 3 Week 7 09/27 -- 10/01 Quiz 4 Week 8 10/04 -- 10/08 Fall Break week Week 9 10/11 -- 10/15 Test 2 (Moved to 10/11 Monday!) Week 10 10/18 -- 10/22 Week 11 10/25 -- 10/29 Quiz 5 Week 12 11/01 -- 11/05 Quiz 6 Week 13 11/08 -- 11/12 Test 3 Week 14 11/15 -- 11/19 Week 15 11/22 -- 11/26 Thanksgiving Week Week 16 11/29 -- 12/02 Presentation
We will follow the university policy regarding face covering:
Students enrolled in this course are required to wear a face covering that covers the nose and mouth while inside the classroom, laboratory, faculty member offices, or group instructional spaces. Failure to comply with this requirement represents a potential violation of Code of Student Conduct and may be reported as a non-academic violation.
Please consult the Auburn University Classroom Behavior Policy at
for additional details.
- Students should familiarize themselves with Auburn honor code here
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Students are encouraged to share ideas and solutions on problem sets and labs, but must
express those ideas in their own words in their submitted work. - Students are not authorized to view or use the work of another student during exams.
Your success in this class is important to me. We will all need accommodations because we all learn differently. If there are aspects of this course that prevent you from learning or exclude you, please let me know as soon as possible. Together we will develop strategies to meet both your needs and the requirements of the course.
I encourage you to visit the Office of Accessibility to determine how you could improve your learning as well. You can register and make a request for services from the Office of Accessibility. In this case, please do inform me of such requests. See the following link for more information:
- According to Auburn University policies: http://auburn.edu/administration/aaeeo/H&D.php
Auburn University is committed to providing a working and academic environment free from prohibited discrimination and harassment and to fostering a nurturing and vibrant community founded upon the fundamental dignity and worth of all its members. Auburn University prohibits harassment of its students and employees based on protected classes and works to eliminate prohibited behavior from its academics and employment through corrective measures and education. The Office of AA/EEO oversees compliance with the Policy Prohibiting Harassment of Students, the Policy Prohibiting Harassment of Employees, and the Policy on Sexual and Gender-Based Harassment and Other Forms of Interpersonal Violence. Protected classes are race, color, sex (which includes sexual orientation, gender identity, and gender expression), religion, national origin, age, disability, protected veteran status, or genetic information. Auburn University also prohibits retaliation against any individual for opposing a practice he/she reasonably believed to be discriminatory; for filing an internal or external complaint, grievance, or charge; or for participating in any investigation or proceeding, in accordance with Auburn University's policies.
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