Financial Engineering and Derivatives Markets II in 2023 Spring
With the development of the financial market, traditional financial products can not meet the increasing financial demand, and the derivatives market (such as futures and options) has developed very rapidly in China. Mathematical tools have played a huge role in the design of new financial products and the development of new facilities, and derivatives-based financial engineering has also become an important discipline in finance. This course will introduce the core mathematical fundamentals of financial engineering and systematically summarize financial theories and models in the derivatives market. The course covers basic derivatives theories such as arbitrage, hedging and B-S models, as well as more in-depth derivatives models such as Poisson market models, stochastic volatility models and basic theories of stochastic processes. In the face of new technologies such as blockchain and artificial intelligence, this course teaches the application of blockchain technology in financial markets and smart contracts designs. This course aims to provide students with a systematic understanding of the basic mathematical tools and latest advances used in financial engineering and how they play a role in the derivatives market. The course is suitable for senior undergraduate, master's and doctoral students who have studied probability theory.
Lecturer
Date
28th February ~ 20th June, 2023
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Tuesday | 15:20 - 17:50 | A3-1-101 | ZOOM 05 | 293 812 9202 | BIMSA |
Prerequisite
probability theory, calculus,
Syllabus
1. Brownian motion
2. Ito's lemma
3. Dodimension Ito's lemma and its application in the financial field
4. Girsanov's theorem
5. Black Scholes model
6. Application of the Black Scholes model
7. Volatility modeling
8. Jump-based option pricing
9. Singular Options
10. Introduction to Digital Assets
11. Blockchain technology and public-key cryptography
12. Smart Contracts
13. Digital RMB
14. Regulation of smart contracts and digital assets
15. Application of artificial intelligence technology in option pricing
16. Selected lectures on cutting-edge topics
2. Ito's lemma
3. Dodimension Ito's lemma and its application in the financial field
4. Girsanov's theorem
5. Black Scholes model
6. Application of the Black Scholes model
7. Volatility modeling
8. Jump-based option pricing
9. Singular Options
10. Introduction to Digital Assets
11. Blockchain technology and public-key cryptography
12. Smart Contracts
13. Digital RMB
14. Regulation of smart contracts and digital assets
15. Application of artificial intelligence technology in option pricing
16. Selected lectures on cutting-edge topics
Reference
Futures, Options and Other Derivatives by John Hull
Audience
Undergraduate
, Graduate
Video Public
Yes
Notes Public
Yes
Language
Chinese
Lecturer Intro
Ke Tang is a Professor at the Institute of Economics, School of Social Sciences, and the Dean of Zhishan College at Tsinghua University. His main research interests are Commodity Markets (including Digital Assets), Fintech, and the Digital Economy. He has published numerous high-quality academic papers in the Journal of Finance, Review of Financial Studies, Management Science, PNAS. He serves as the Executive Editor of Quantitative Finance. His research has been recognized by the U.S. Commodity Futures Trading Commission, the United Nations Commodity Report, and various media outlets. He was also selected as a Highly Cited Researcher in China by Elsevier from 2020 to 2023.