Sharpe Ratio Quant Interview Guide
Sharpe ratio quant interview guide for excess return, volatility, annualization, strategy evaluation, examples, limitations, and mistakes.
Candidates evaluating risk-adjusted returns and strategy performance.
Sharpe compares excess return to volatility
The Sharpe ratio divides excess return by return volatility. It is useful for comparing return per unit of volatility, but it compresses many risk details into one number.
Annualization needs assumptions
Sharpe ratios are often annualized with square-root-of-time scaling, but that assumes a structure that autocorrelation, changing volatility, or compounding details can weaken.
Concrete example
A high historical Sharpe may come from steady small gains with rare large losses. Drawdown, tail risk, liquidity, and costs can change the assessment.
Use with validation
A Sharpe estimate is noisy, especially with limited data. Discuss sample size, stability across periods, and whether the strategy was selected after many attempts.
Common mistakes
Candidates often rank strategies by Sharpe alone. A stronger answer treats Sharpe as one metric and asks what risks or assumptions it hides.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.