Spot flaws in the backtest of a strategy
The idea
Several problems commonly spoil backtests. Survivorship bias arises when the data include only firms that still exist, which lifts returns. Look-ahead bias uses information not available on the date, such as accounts published weeks after the period end, or later restated figures. Data snooping comes from testing many variations and keeping the best; the more trials, the higher the hurdle for significance, for example a t-statistic above 3 rather than 2. Ignoring transaction costs, shorting constraints and capacity inflates results, especially for high-turnover strategies. Remedies include point-in-time data, reporting lags, out-of-sample tests and cost models. The trap is missing look-ahead bias when data are dated by fiscal period rather than publication.
In the app: 2 practice questions on this outcome, a narrated walkthrough with diagrams, spaced review that brings it back before you forget it.
Take the free diagnostic →More in Backtesting and Simulation
- Set out what backtesting an investment strategy aims to achieve
- Set out and contrast the stages and procedures involved when a strategy is backtested
- Interpret the metrics and charts that a strategy backtest reports
- Assess and interpret an analysis based on historical scenarios
- Contrast the Monte Carlo approach to simulation with the historical approach
- Explain the inputs and choices a simulation involves and interpret what it produces
- Show how sensitivity analysis is applied