Interpret the metrics and charts that a strategy backtest reports
The idea
A backtest report usually shows cumulative return charts, average returns, volatility, the Sharpe ratio, maximum drawdown, turnover, and the information coefficient or hit rate of the signal. Because strategy returns are often non-normal, it may also show skewness, excess kurtosis, downside deviation, VaR and conditional VaR, plus rolling performance across periods. Negative skewness and fat tails mean the Sharpe ratio flatters a strategy, since standard deviation understates the chance of large losses. A monthly Sharpe ratio is annualised by multiplying by the square root of 12. The trap is judging a strategy on average return and Sharpe ratio alone when drawdowns and tails tell a different story.
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
- Spot flaws in the backtest of a strategy
- 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