Package: monotonicity 1.3.1

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.

Authors:Siegfried Köstlmeier [aut, cre, trl]

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monotonicity.pdf |monotonicity.html
monotonicity/json (API)

# Install 'monotonicity' in R:
install.packages('monotonicity', repos = c('https://skoestlmeier.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/skoestlmeier/monotonicity/issues

Datasets:
  • demo_returns - Asset returns used in Ang, Chen and Xing (RFS, 2006), sorted into ten portfolios.

On CRAN:

Conda:

monotonicityportfolio-analysis

3.70 score 10 stars 10 scripts 241 downloads 6 exports 5 dependencies

Last updated 3 years agofrom:989d226758. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 23 2025
R-4.5-winOKFeb 23 2025
R-4.5-macOKFeb 23 2025
R-4.5-linuxOKFeb 23 2025
R-4.4-winOKFeb 23 2025
R-4.4-macOKFeb 23 2025
R-4.3-winOKFeb 23 2025
R-4.3-macOKFeb 23 2025

Exports:monoBonferronimonoRelationmonoSummarymonoUpDownstatBootstrapwolak

Dependencies:latticelmtestMASSsandwichzoo