Summer 2023 Industrial Engineering and Operations Research E4722 section 001

TOPICS IN QUANT FINANCE

FINANCIAL CORRELATIONS

Call Number 12661
Day & Time
Location
TF 6:00pm-9:00pm
303 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Gunter Meissner
Type LECTURE
Method of Instruction In-Person
Course Description

15 Correlation Models are introduced, 4 are discussed in detail: Is the Pearson Correlation Model sufficient for Finance? Are Copula Correlations, Cointegration, or Stochastic Correlations superior? 6 correlation trading strategies are introduced: 1) Empirical Correlation Trading, 2) Pairs Trading, 3) Multi-asset Options, 4) Structured Products, 5) Correlation Swaps, and 6) Dispersion trading. Every Risk Management concept such as VaR (Value at Risk), ES (Expected Shortfall), or CVaR (Credit Value at Risk) applies a certain correlation model, which will be scrutinized. Quantum Entanglement was awarded the Nobel Prize in 2022. We will examine if it is applicable in Finance. Finally, we will discuss whether we can use AI, in particular recurrent Neural Networks, to derive correlations.

Web Site Vergil
Subterm 05/22-06/30 (A)
Department Industrial Engineering and Operations Research
Enrollment 7 students (50 max) as of 7:07PM Friday, April 19, 2024
Subject Industrial Engineering and Operations Research
Number E4722
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Note Class meets 5/26 - 7/1
Section key 20232IEOR4722E001