Test for monotonicity in financial variables sorted by portfolios. It is conventional practice in empirical research to form portfolios of assets ranked by a certain sort variable. A t-test is then used to consider the mean return spread between the portfolios with the highest and lowest values of the sort variable. Yet comparing only the average returns on the top and bottom portfolios does not provide a sufficient way to test for a monotonic relation between expected returns and the sort variable. This package provides nonparametric tests for the full set of monotonic patterns by Patton, A. and Timmermann, A. (2010) <doi:10.1016/j.jfineco.2010.06.006> and compares the proposed results with extant alternatives such as t-tests, Bonferroni bounds, and multivariate inequality tests through empirical applications and simulations.
Package details |
|
---|---|
Author | Siegfried Köstlmeier [aut, cre, trl] (<https://orcid.org/0000-0002-7221-6981>) |
Maintainer | Siegfried Köstlmeier <siegfried.koestlmeier@gmail.com> |
License | BSD_3_clause + file LICENSE |
Version | 1.3.1 |
URL | https://github.com/skoestlmeier/monotonicity |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.