Value Stocks beat Growth Stocks - An empirical Analysis for the German Stock Market (Paperback)


Master's Thesis from the year 2012 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1,0, University of Bamberg, language: English, abstract: Based on a sample of German stocks listed at the Frankfurt stock exchange, the study investigated the ability of hedge portfolio formation structures, built of three value premium proxies (P/B, P/E, and DY), the size factor, and the technical momentum factor, to generate excess returns in the period 1992 to 2011. The P/B hedge portfolio yields an average return of 1.59 percent per month, the P/E hedge portfolio 0.664 percent, and a portfolio formation approach ranked on DY delivers a return of 0.839. The results of multivariate regressions favor the Fama-French three-factor model in order to explain expected stock returns.

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Product Description

Master's Thesis from the year 2012 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1,0, University of Bamberg, language: English, abstract: Based on a sample of German stocks listed at the Frankfurt stock exchange, the study investigated the ability of hedge portfolio formation structures, built of three value premium proxies (P/B, P/E, and DY), the size factor, and the technical momentum factor, to generate excess returns in the period 1992 to 2011. The P/B hedge portfolio yields an average return of 1.59 percent per month, the P/E hedge portfolio 0.664 percent, and a portfolio formation approach ranked on DY delivers a return of 0.839. The results of multivariate regressions favor the Fama-French three-factor model in order to explain expected stock returns.

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Product Details

General

Imprint

Grin Verlag

Country of origin

United States

Release date

November 2012

Availability

Expected to ship within 10 - 15 working days

First published

September 2013

Authors

Dimensions

210 x 148 x 5mm (L x W x T)

Format

Paperback - Trade

Pages

76

ISBN-13

978-3-656-30166-0

Barcode

9783656301660

Categories

LSN

3-656-30166-2



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