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bdrift (version 1.2.2)

Beta Drift Analysis

Description

Beta drift poses a serious challenge to asset managers and financial researchers. Beta drift causes problems in asset pricing models and can have serious ramifications for hedging attempts. Providing users with a tool that allows them to quantify beta drift and form educated opinions about it is the primary purpose of this package. This package contains the BDA() function that performs a beta drift analysis, typically for multi-factor asset pricing models. The BDA() function tests the underlying model parameters for drift across time, drift across model horizon, and applies a jackknife procedure to the baseline model. This allows the users to draw conclusions about the stability of model parameters or make inferences about the behavior of funds. For example, the drift of parameters for active funds could be interpreted as implicit style drift or, in the case of passive funds, management's inability to track a benchmark completely.

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Install

install.packages('bdrift')

Monthly Downloads

22

Version

1.2.2

License

GPL-3

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Maintainer

Markus Peter Auer

Last Published

April 6th, 2016

Functions in bdrift (1.2.2)

summary.BDA

Summarize Beta Drift Analyses
plot.BDA

Plot Beta Drift Analyses
FFfactors

Dataset to Estimate Multi-Factor Models for Return Samples
BDA.loader

Beta Drift Anaylsis Data Loader
bdrift-package

Analyzing Beta Drift
BDA

Beta Drift Anaylsis
print.BDA

Print Beta Drift Anaylses