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.

Getting started

Package details

AuthorMichael Wolf [aut], Oliver Ledoit [aut], Aleksandar Spasojevic [cre]
MaintainerAleksandar Spasojevic <aleksandar.spasojevic@outlook.com>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bootTimeInference")

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bootTimeInference documentation built on April 14, 2017, 5:33 p.m.