bootTimeInference: Robust Performance Hypothesis Testing with the Sharpe Ratio

Applied researchers often test for the difference of the Sharpe ratios of two investment strategies. A very popular tool to this end is the test of Jobson and Korkie, which has been corrected by Memmel. Unfortunately, this test is not valid when returns have tails heavier than the normal distribution or are of time series nature. Instead, we propose the use of robust inference methods. In particular, we suggest to construct a studentized time series bootstrap confidence interval for the difference of the Sharpe ratios and to declare the two ratios different if zero is not contained in the obtained interval. This approach has the advantage that one can simply resample from the observed data as opposed to some null-restricted data.

Version: 0.1.0
Depends: stats
Imports: Rcpp (≥ 0.12.3.3)
LinkingTo: Rcpp, RcppArmadillo
Suggests: R.rsp
Published: 2016-04-11
Author: Michael Wolf [aut], Oliver Ledoit [aut], Aleksandar Spasojevic [cre]
Maintainer: Aleksandar Spasojevic <aleksandar.spasojevic at outlook.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Finance
CRAN checks: bootTimeInference results

Downloads:

Reference manual: bootTimeInference.pdf
Vignettes: Robust performance hypothesis testing with the Sharpe ratio
Package source: bootTimeInference_0.1.0.tar.gz
Windows binaries: r-devel: bootTimeInference_0.1.0.zip, r-release: bootTimeInference_0.1.0.zip, r-oldrel: bootTimeInference_0.1.0.zip
OS X Mavericks binaries: r-release: bootTimeInference_0.1.0.tgz, r-oldrel: bootTimeInference_0.1.0.tgz

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