Resources

We have created some resources that will help you with learning and using quantitative methods in your courses, seminars and independent research. 

Interpreting and Visualizing Regression Tables (Ella Foster-Molina)

The interactive webbook at https://swat-ssql.github.io/interpret-regression-tables/ provides a basic understanding of regression tables commonly presented in quantitative papers and highlights common heuristics for interpreting those tables.

The second section visualizes marginal effects in an interactive 3 dimensional regression surface. The gif below demonstrates some of the functionality of that interactive 3D visualization.

A 3D visualization of a regression surface and marginal effects.
Stata Guide for Intermediate Users (Alicia Liu '24)

This guide covers

  • paths and directories in Stata
  • the preserve and restore commands to work with a variation on a dataset without losing the original dataset as an alternative to frames
  • frames
  • where to find help: useful websites, on campus resources, and a note on LLMs.
A Quant Guide for Financial Careers (Amine Boukardagha, '24)

Quant refers to many careers in the financial industry. It is usually hard to break into quantitative finance with just a bachelors although not impossible. In this guide, I explain how you could build a solid foundation in core liberal arts subjects to prepare yourself for a career in quantitative finance.

  • Coursework: Math/stats, computer science, economics

  • Summer Jobs: RAs & Internships

  • Pursuing a full-time job during your senior year