Quant Research
May-Summer 2024
Jul 15, 2024
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Aug 19, 2024
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Registration Deadlines
Jul 15, 2024
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Erdős Institute Cohort Members
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Category
Launch
Overview
The Introduction to Quantitative Methods in Finance course is designed to provide participants with a solid grasp of fundamental probabilistic techniques applied in financial markets. With a specific focus on Black-Scholes modeling of European options, the course capitalizes on the availability of closed-form solutions for European option expected values. This facet not only facilitates the evaluation of model predictions but also underscores the practical relevance of the concepts covered.
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Organizers, Instructors, and Advisors
Thomas Polstra
Assistant Professor of Mathematics
Office Hours:
Wednesday 10:00-11:00 central
Email:
Preferred Contact:
Slack
Do not hesitate to reach out with any questions you may have through Slack.
Objectives
By the end of this course, students will be able to:
Use probabilistic techniques to predict stock movement volatility using historical data. Use volatility predictions to evaluate a portfolio's value at risk and to price European option contracts using Monte-Carlo methodology. Create accurate European option price predictions by enhancing Monte-Carlo simulations through the use of control variates. Accuracy will be measured against closed-form solutions to option contracts provided by Black-Scholes option pricing equations. Adjust Monte-Carlo simulations of European contracts for the purpose of pricing more complicated option contracts whose expected value does not have a closed form solutions. Such option contracts may include American, Asian, lookback, and barrier option contracts. Develop hedging strategies which minimize risk and improve expected profit distributions of an option investment strategy. Backtest a trading strategy using historical stock prices.
Disclaimer:
By enrolling in this course you agree that in no event shall the Erdős Institute, its affiliates and their respective employees, agents, representatives and content providers or service providers be liable for damages of any kind, including, without limitation, direct, indirect, compensatory, special, incidental, punitive and consequential damages even if made aware of the possibility of such damages, whether in an action under contract, negligence or other theory, arising out of or in connection with the use, inability to use or performance of any course content, materials or services.
First Steps/Prerequisites
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Program Content
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Textbook/Notes
Dynamic Delta Hedging
Lecture 5
Lecture on dynamic delta hedging.
Lecture 1
Lecture
Video of working through first two notebooks.
Lecture 3
Lecture
Stock options and Monte-Carlo simulation of option pricing
Lecutre 2
Lecture
Volatility, GARCH volatility modeling, Sharpe ratio, and Value at Risk.
Project/Homework Instructions
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Schedule
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Lecture 1
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Lecture 3
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Lecture 5
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Office Hour
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Office hour
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Lecture 2
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Lecture 5
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Please check your registration email for program schedule and zoom links.
Project/Homework Deadlines