Quant case studies, worked step by step
- Cases
- 100
- Traced to a firm
- 43
- Topics
- 11
- Hard
- 30
Topic
All topicsSignal research and data tasks10Options and volatility trading10Market-making games14Portfolio construction10Strategy evaluation and backtests9Execution and market microstructure8Fixed income and credit8Regression and model review8Risk measurement and limits9Statistical arbitrage and event trades8Position sizing and bankroll6
Showing 11–13 of 13 · filtered from 100Clear filters
- 078In a six-hour data task, a feature predicts next-day returns across 400 stocks with an average daily information coefficient of 0.02 and a standard deviation of 0.08 over 750 days. Is it real, what information ratio should you expect, and what do you check before presenting?Squarepoint CapitalParis · 2025
- 096Stambhika joins the bid at Rs 250.00 behind 40,000 shares with a 10,000 share buy order. Fills arrive at 2,000 shares a minute, and 60% of the selling that reaches the bid comes just before a 5 paise drop. How long until you fill, what is the chance the price moves first, and what is the adverse selection per fill worth?Tower Research CapitalNew York · 2020
- 099At Tessorin, a random forest on 50 features scores a training R-squared of 35% and a test R-squared of -0.8% on daily returns, while a three-feature ridge model scores 0.6% and 0.4%. Explain the gap, choose a model, and say how you would set the number of trees and the depth.Tower Research CapitalPrinceton · 2018
Company names and figures are illustrative.
