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Quant Research

May-Summer 2024

Jul 15, 2024

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Aug 19, 2024

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Lecture 1

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Registration Deadlines

Jul 15, 2024

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Erdős Institute Cohort Members

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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

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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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First Steps

Program Content

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Course materials are available on github through the following link:

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Program Content

Textbook/Notes

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Lecture 1

Lecture

Video of working through first two notebooks.

Slides
Transcript
Code

Dynamic Delta Hedging

Lecture 5

Lecture on dynamic delta hedging.

Slides
Transcript
Code

Lecutre 2

Lecture

Volatility, GARCH volatility modeling, Sharpe ratio, and Value at Risk.

Slides
Transcript
Code

Lecture 3

Lecture

Stock options and Monte-Carlo simulation of option pricing

Slides
Transcript
Code

Project/Homework Instructions

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Project/Team Formation
Project Submission
Projects README

Schedule

Click on any date for more details

Orientation & Setup

Phase 1: Instruction and Project Completion

Project Review & Judging

Phase 2: Intense Interview Prep & Career Connections

Lecture 1

Jul 16, 2024 at 06:00 PM UTC

EVENT

Lecture 3

Jul 23, 2024 at 06:00 PM UTC

EVENT

Lecture 5

Aug 1, 2024 at 06:00 PM UTC

EVENT

Office Hour

Jul 17, 2024 at 03:00 PM UTC

EVENT

Office hour

Jul 24, 2024 at 03:04 PM UTC

EVENT

Lecture 2

Jul 18, 2024 at 06:00 PM UTC

EVENT

Lecture 5

Jul 30, 2024 at 06:00 PM UTC

EVENT

Project/Homework Deadlines

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