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18.642 | Fall 2024 | Undergraduate

# Topics in Mathematics with Applications in Finance

John Hull, a distinguished expert in derivatives and machine learning, shares his extensive journey from mathematics to applying machine learning in finance, emphasizing its transformative role in the current industrial revolution. He explains core machine learning concepts, including supervised, unsupervised, and reinforcement learning, illustrated with practical examples like neural networks for option pricing and reinforcement learning for decision-making, highlighting both theoretical foundations and real-world applications such as hedging strategies that reduce transaction costs and improve risk management.

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## Course Info

##### Instructors

- Dr. Peter Kempthorne
- Dr. Vasily Strela
- Dr. Jake Xia

##### Departments

- Mathematics

##### As Taught In

Fall 2024

##### Level

Undergraduate

##### Topics

- Business
  - Finance
- Mathematics
  - Applied Mathematics
  - Probability and Statistics

##### Learning Resource Types

notes Lecture Notes
theaters Lecture Videos
assignment Problem Sets
assignment Activity Assignments
group_work Projects
Readings

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