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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.
Version: | 1.3.1 |
Depends: | R (≥ 3.3) |
Imports: | lmtest, MASS, sandwich, stats, methods, utils |
Suggests: | testthat, xts |
Published: | 2019-12-05 |
DOI: | 10.32614/CRAN.package.monotonicity |
Author: | Siegfried Köstlmeier [aut, cre, trl] |
Maintainer: | Siegfried Köstlmeier <siegfried.koestlmeier at gmail.com> |
License: | BSD_3_clause + file LICENSE |
URL: | https://github.com/skoestlmeier/monotonicity |
NeedsCompilation: | no |
CRAN checks: | monotonicity results |
Reference manual: | monotonicity.pdf |
Package source: | monotonicity_1.3.1.tar.gz |
Windows binaries: | r-devel: monotonicity_1.3.1.zip, r-release: monotonicity_1.3.1.zip, r-oldrel: monotonicity_1.3.1.zip |
macOS binaries: | r-release (arm64): monotonicity_1.3.1.tgz, r-oldrel (arm64): monotonicity_1.3.1.tgz, r-release (x86_64): monotonicity_1.3.1.tgz, r-oldrel (x86_64): monotonicity_1.3.1.tgz |
Old sources: | monotonicity archive |
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