Diplomarbeit, 2010
74 Seiten, Note: 2,0
1. Introduction
2. Literature Review
2.1. Validity of the CAPM-β
2.2. Size
2.3. Book-to-Market
3. Data
3.1. Data Sources
3.2. Data Preparation
3.3. Data Problems
4. Methodology and Empirical Results
4.1. CAPM-β
4.2. Size
4.3. Book-to-Market
4.4. Cross-Sectional Regressions
5. Conclusions
This thesis investigates the explanatory power of beta, company size, and the book-to-market (B/M) ratio in relation to stock returns within the German equity market during the volatile period from 2005 to 2009. The primary research goal is to determine if these characteristics exhibit predictive power for stock returns under the specific market conditions of the recent global financial crisis.
1. Introduction
The renowned and still popular Capital Asset Pricing Model (CAPM) developed by Sharpe (1964), Lintner (1965), and Black (1972) is the standard Asset Pricing Model for theory and practice. While the first empirical studies which tested for the validity of the CAPM-β and were conducted by, among others, Black, Jensen, and Scholes (1972) and Fama and MacBeth (1973), confirmed the validity of the CAPM-β as significantly related to average stock returns, later studies, which used more recent data could not confirm its validity.
Thus, other models were developed to improve the standard model in order to show a more significant relation between beta and average stock returns. Many different approaches to improve the standard model introduced by Sharpe-Lintner-Black were developed that attempted to uphold the hypothesis of “efficient capital markets”.
But other models were developed that were not closely related to the CAPM. In some cases fundamental or macroeconomic data were used to make up for the CAPM’s lack of explanatory power. Although some of these factors were able to describe security returns, the widely-tested alternative to the standard CAPM version is the extension of the model by both size and book-to-market (B/M) ratio; the Three Factor Model introduced by Fama and French (FF, 1992). For its high explanatory power in many studies of different markets, it was often mentioned as a reasonable extension of the standard CAPM.
1. Introduction: Introduces the standard CAPM model and its limitations, setting the stage for analyzing the additional explanatory power of size and book-to-market factors.
2. Literature Review: Provides an overview of academic discussions regarding the validity of beta, the size effect, and the B/M effect in various international and German equity markets.
3. Data: Details the data sources, preparation process, and potential statistical problems associated with the chosen sample of German stocks.
4. Methodology and Empirical Results: Presents the primary empirical findings using portfolios sorted by beta, size, and B/M, alongside cross-sectional regression analyses.
5. Conclusions: Summarizes the study's findings, highlighting the predictive characteristics of the analyzed factors during the observed 2005-2009 period.
CAPM, Beta, German Stock Market, Size Effect, Book-to-Market Ratio, Financial Crisis, Equity Returns, Portfolio Sorting, Cross-Sectional Regression, Market Capitalization, Empirical Finance, Institutional Ownership, Efficient Markets, Small-Firm Premium, Asset Pricing
This thesis examines the explanatory power of three factors—beta, company size, and the book-to-market ratio—in relation to stock returns in the German equity market.
The work focuses on testing the validity of the Capital Asset Pricing Model (CAPM) and analyzing whether market anomalies like the size and B/M effects persist in the German market.
The study aims to determine if the mentioned characteristics can effectively predict stock returns during a very short and turbulent period (2005-2009) impacted by the global financial crisis.
The author uses portfolio construction methods and cross-sectional regressions to analyze the relationship between stock returns and specific firm characteristics.
The main section covers the collection and preparation of data, the empirical testing of beta-sorted, size-sorted, and B/M-sorted portfolios, and multivariate regression models.
Key terms include CAPM, German Stock Market, Size Effect, Book-to-Market Ratio, and Empirical Finance.
The crisis period introduces extreme volatility, which complicates the detection of long-term trends and leads to discrepancies when compared with earlier studies that relied on more stable, longer time series.
The author segments the data to ensure empirical relevance and to address issues like institutional ownership and different accounting standards relevant to the German market.
The findings reinforce the notion that the CAPM-β has limited explanatory power, especially when market conditions are turbulent, necessitating the exploration of additional risk factors.
The study finds that the traditional size effect is inconsistent over the analyzed period, suggesting that it is highly sensitive to the chosen timeframe and market conditions.
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