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SharpeR (version 1.4.0)

sr_variance: sr_variance .

Description

Computes the variance of the sample Sharpe ratio.

Usage

sr_variance(snr, n, cumulants)

Value

the variance of the sample statistic.

Arguments

snr

the population Signal Noise ratio. Often one will use the population estimate instead.

n

the sample size that the Shapre ratio is observed on.

cumulants

a vector of the third through fourth, or the third through seventh population cumulants of the random variable. More terms are needed for the higher accuracy approximation.

Author

Steven E. Pav shabbychef@gmail.com

Details

The sample Sharpe ratio has variance of the form $$V = \frac{1}{n}\left(1 + \frac{\zeta^2}{2}\right) +\frac{1}{n^2}\left(\frac{19\zeta^2}{8} + 2\right) -\gamma_1\zeta\left(\frac{1}{n} + \frac{5}{2n^2}\right) +\gamma_2\zeta^2\left(\frac{1}{4n} + \frac{3}{8n^2}\right) +\frac{5\gamma_3\zeta}{4n^2} +\gamma_1^2\left(\frac{7}{4n^2} - \frac{3\zeta^2}{2n^2}\right) +\frac{39\gamma_2^2\zeta^2}{32n^2} -\frac{15\gamma_1\gamma_2\zeta}{4n^2} +o\left(n^{-2}\right),$$ where \(\zeta\) is the population Signal Noise ratio, \(n\) is the sample size, \(\gamma_1\) is the population skewness, and \(\gamma_2\) is the population excess kurtosis, and \(\gamma_3\) through \(\gamma_5\) are the fifth through seventh cumulants of the error term. This form of the variance appears as Equation (4) in Bao.

See ‘The Sharpe Ratio: Statistics and Applications’, section 3.2.3.

References

Bao, Yong. "Estimation Risk-Adjusted Sharpe Ratio and Fund Performance Ranking Under a General Return Distribution." Journal of Financial Econometrics 7, no. 2 (2009): 152-173. tools:::Rd_expr_doi("10.1093/jjfinec/nbn022")

Pav, S. E. "The Sharpe Ratio: Statistics and Applications." CRC Press, 2021.

See Also

sr_bias.

Examples

Run this code
# variance under normality:
sr_variance(1, 100, rep(0,5))

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