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Introduction to R for Quantitative Finance
book

Introduction to R for Quantitative Finance

by Gergely Daróczi, Michael Phule, Edina Berlinger (EURO), Peter Csoka, Daniel Daniel Havran, Marton Michaletzky, Zsolt Tulassay, Kata Váradi, Agnes Vidovics-Dancs, Agnes Vidovics Dancs
November 2013
Beginner
164 pages
3h 46m
English
Packt Publishing
Content preview from Introduction to R for Quantitative Finance

Model testing

The first tests on the beta-return relationship used two-phase linear regression (Lintner 1965). The first regression estimates the security characteristic line and beta of the individual securities as described above. In the second regression, the security's risk premium is the dependent variable, whereas beta is the explanatory variable. The null-hypothesis assumes the intercept to be zero and the slope of the curve to be the market risk premium, which is estimated as the average of the sample. The test can be extended by an additional explanatory variable: the individual variance.

Data collection

We will present the test using a sample of the US market in the pre-crisis period between 2003 and 2007. As daily data includes more short-term ...

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Publisher Resources

ISBN: 9781783280933Other