Topics in mathematics with applications in finance
Bachelor's degree
In Maynard (USA)
Description
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Type
Bachelor's degree
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Location
Maynard (USA)
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Start date
Different dates available
The purpose of the class is to expose undergraduate and graduate students to the mathematical concepts and techniques used in the financial industry. Mathematics lectures are mixed with lectures illustrating the corresponding application in the financial industry. MIT mathematicians teach the mathematics part while industry professionals give the lectures on applications in finance.
Facilities
Location
Start date
Start date
Reviews
Subjects
- GCSE Mathematics
- Financial Training
- Industry
- Financial
- Finance
- Mathematics
- Statistics
Course programme
Lectures: 2 sessions / week, 1.5 hour / session
Broad familiarity with linear algebra, statistics, stochastic processes and partial differential equations will be helpful (but not required). Prior knowledge of economics or finance is not required but may be helpful for some lectures.
The purpose of the class is to expose undergraduate and graduate students to the mathematical concepts and techniques used in the financial industry. The course will consist of a set of mathematics lectures on topics in Linear Algebra, Probability, Statistics, Stochastic Processes and Numerical Methods. Mathematics lectures will be mixed with lectures illustrating the corresponding application in the financial industry.
MIT mathematicians will teach the mathematics part while industry professionals will give the lectures on applications in finance. We also plan to organize an optional field trip to visit Morgan Stanley offices in New York.
The class will have problem sets for each math lecture due in two weeks after each math lecture, and a final paper on a math finance topic of student's choice. There will be no exams.
The final grade will be 75% based on the homework and 25% on final paper.
Dr. Peter Kempthorne is a Lecturer in the MIT Department of Mathematics on financial mathematics and statistics. He is also President of Kempthorne Analytics and formerly was an Associate Professor and Principal Research Scientist at MIT Sloan School of Management with research focus on statistical modeling in finance.
Dr. Choongbum Lee is an Instructor in the MIT Department of Mathematics. His interests include Extremal Combinatorics, Ramsey Theory, Random Structures and other related fields.
Dr. Vasily Strela is a Research Affiliate in the MIT Department of Mathematics. He is also a Managing Director and the Global Head of Fixed Income Modeling at Morgan Stanley.
Dr. Jake Xia is a Research Affiliate in the MIT Department of Mathematics and a Visiting Scholar in the MIT Sloan Business School. He is Managing Director and Chief Risk Officer of Harvard Management Company. Prior to that, he was Managing Director of Morgan Stanley.
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Topics in mathematics with applications in finance