qis.regimes.compute_convexity_premium¶
- qis.regimes.compute_convexity_premium(sr_bear, sr, rho, af, tail_prob=0.16, nu=None)[source]¶
Convexity premium, the realised Bear contribution less its null
p SR - kappa rho.- Parameters:
sr_bear (float) – realised contribution of the lowest benchmark bucket to the Sharpe ratio
sr (float) – annualised Sharpe ratio of the asset
rho (float) – correlation of the asset with the benchmark
af (float) – annualisation factor of the periodic returns
tail_prob (float) – probability of each tail bucket
nu (float | None) – degrees of freedom of a joint Student-t null; None is the Gaussian null
- Returns:
the premium in annualised Sharpe units
- Return type: