monotonicity: Test for Monotonicity in Expected Asset Returns, Sorted by Portfolios

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
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

Documentation:

Reference manual:

monotonicity.pdf

Downloads:

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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