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bootTimeInference (version 0.1.0)

Robust Performance Hypothesis Testing with the Sharpe Ratio

Description

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.

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Version

Install

install.packages('bootTimeInference')

Monthly Downloads

2

Version

0.1.0

License

GPL (>= 2)

Maintainer

Aleksandar Spasojevic

Last Published

April 11th, 2016

Functions in bootTimeInference (0.1.0)

blockSizeCalibrate

calculate the optimal block size
bootTimeInference

calculate bootstrap inference