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
Level
AnyWarm upCoreHard
Source
AnyReported at a firmStandard
Showing 1–4 of 4 · filtered from 100Clear filters
  1. 016A book has a Sharpe ratio of 1.0. A candidate strategy has a Sharpe of 0.8 and correlation 0.3 with the book. What is the Sharpe of the best combination, and does the weaker strategy earn a place?Strategy evaluation and backtestsCoreSystematic hedge fundsQuant research
  2. 032A strategy has a Sharpe ratio of 1.0 at 12% volatility and a worst drawdown of 8% in two years live. What drawdown should investors expect over ten years, and is a 20% fall in year three evidence it is broken?Strategy evaluation and backtestsCoreSystematic hedge fundsRisk quant
  3. 052A signal has an information coefficient of 0.06 at one day, 0.045 at five days and 0.03 at twenty days. Cross-sectional daily volatility is 2% and a full rebalance costs 20 bps round trip. Should you rebalance daily or weekly?Strategy evaluation and backtestsCoreSystematic hedge fundsQuant research
  4. 063A small-cap backtest built on today's index members returns 22% a year over ten years. Over that period 30% of the original universe was delisted, with an average return of -60% in the year before delisting. Estimate the survivorship bias.Strategy evaluation and backtestsCoreSystematic hedge fundsQuant research

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