Sports Valuation and Analytics

Goals

team pre-dates form field

Issues Involved or Addressed

With the changing landscape of collegiate sports, the need for detailed valuation of sports teams is critical. Such analysis requires collection of unique data and understanding how to apply traditional valuation models (typically applied to a firm) to a sports team. While some of the data has already been collected by Dr. Garner, valuation requires the perpetual updating of new data; students will learn what data is relevant, collect this data, and build models to “value” and “price” sports teams. “Value” and “Price,” are different, despite many in the finance (and sports world) using these terms interchangeably. We will also examine the impact of transfer portal activity and NIL value on team performance, ticket sales, and recruiting expenses. Finally, sports betting and daily fantasy sports impacts sports valuation. Daily fantasy sports lineups are analogous to an investor’s stock portfolio. However, those lineups are terminated each week, with the option of creating an entirely new lineup in a new tournament. As Markowitz (2021) finds, “sports betting markets offer a novel laboratory to evaluate theories of cross-sectional asset pricing anomalies.” The absence of systematic risk and terminal values being exogenous to betting “evade the joint hypothesis problem, allowing mispricing to be detected.” Therefore, daily fantasy sports create a natural experiment to test behavioral finance theory, and as such, we can assess the impact of past performance on future risk taking.

Partners/Sponsors

Financial Services and Innovation LabPartnership for an Advanced Computing Environment (PACE)

Methods and Technologies

  • Excel
  • Ability to communicate
  • Python programming (Selenium, Numpy, Pandas etc.)

Majors Sought

Business: General Management, IT Management, Marketing, Operations and Supply Chain Management, Strategy and Innovation

Computing: Algorithms, Combinatorics and Optimization, Computational Media, Computer Science

Engineering: Computer Engineering, Industrial Engineering

Preferred Interests and Preparation

Motivated and interested in learning applications of valuation models to sports teams and sports analytics issues. “¢ Strong motivation and passion to learn or work in the intersection of finance and sports “¢ Effective communication skills “¢ Solid Excel skills “¢ Solid Python skills “¢ Desire to use the PACE computers on campus “¢ Driven and committed, self-motivation and eagerness to learn new concepts “¢ Ability to work with others

Advisor

Jacqueline Garner
Jacqueline Garner
jacqueline.garner@scheller.gatech.edu

Day, Time & Location

Full Team Meeting:
6:30-7:20 Wednesday
Klaus 1440

Subteam meetings scheduled after classes begin.