Distribution, each as a share of its own sampleQuantile–quantile, live against backtest
Returns by horizon
Skew by horizonExcess kurtosis by horizon
Calendar years
Value at Risk and expected shortfall
VaR as the confidence level movesExpected shortfall as the confidence level moves
Normal reads the quantile off a Gaussian curve.
Cornish–Fisher corrects that quantile for the observed skew and kurtosis.
Historical sorts the realised returns.
Breaches in the live window
How does it look against benchmarks?
Ex-post vol normalized 10%
Drawdown
Backtest drawdown depth, share of sessions at each
depth