Common risk factors in the German stock market

Common risk factors in the German stock market

Author: Daniel Bathe

Publisher: GRIN Verlag

Published: 2008-05-05

Total Pages: 74

ISBN-13: 3638042529

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Diploma Thesis from the year 2007 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1,3, University of Tubingen, language: English, abstract: This paper develops a multifactor model for explaining the difference in average returns for the German stock market in the period between July 1990 and June 2007. The methodology of Fama and French (1993) is adopted to determine possible common risk factors in that market. Despite the enormous and strong stock markets movements and the high volatility during that period, the three factors RM-RF, SMB and HML seem to be able to capture cross-sectional variation in average returns for portfolios formed on various sorting criteria based on publicly available financial data. In addition, the analysis shows a negative (risk?) premium for small size stocks, which is a surprising result since it contradicts previous studies for the German, but also international markets. For stocks with a high book-to-market value, a strong positive premium is found. This value effect is consistent over time and statistically significant. Positive premiums seem to exist for high E/P and C/P stocks as well. These market anomalies show that returns are indeed predictable in the German market over long time horizons. High BM, E/P and C/P stocks do outperform stocks with low ratios in these categories significantly and consistent over time. However, the evidence in this analysis highlights that the common explanation in rational asset-pricing models of an outperformance due to some economic risk factors that are proxied by HML and SMB must be strongly questioned. Portfolios consisting of value stocks outperform growth portfolios in all possible states of the stock market. This evidence is contradictory to the ‘marginal value of wealth’ assumption in the rational asset pricing models presented. Additionally, there is a January effect in stock returns which cannot be captured by a risk-based, rational asset pricing model. Thus, the evidence suggests that it is in fact investor irrationality which is causing differences in average returns across stocks. RM-RF, SMB and HML can be described as common factors helping to explain return differences, but it is very likely that it is not underlying economic risk, but investor behavior which is causing the presented market anomalies and return predictability.


Common Risk Factors in the German Stock Market

Common Risk Factors in the German Stock Market

Author: Daniel Bathe

Publisher: GRIN Verlag

Published: 2008-05-20

Total Pages: 81

ISBN-13: 3638940195

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Diploma Thesis from the year 2007 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1,3, University of Tubingen, language: English, abstract: This paper develops a multifactor model for explaining the difference in average returns for the German stock market in the period between July 1990 and June 2007. The methodology of Fama and French (1993) is adopted to determine possible common risk factors in that market. Despite the enormous and strong stock markets movements and the high volatility during that period, the three factors RM-RF, SMB and HML seem to be able to capture cross-sectional variation in average returns for portfolios formed on various sorting criteria based on publicly available financial data. In addition, the analysis shows a negative (risk?) premium for small size stocks, which is a surprising result since it contradicts previous studies for the German, but also international markets. For stocks with a high book-to-market value, a strong positive premium is found. This value effect is consistent over time and statistically significant. Positive premiums seem to exist for high E/P and C/P stocks as well. These market anomalies show that returns are indeed predictable in the German market over long time horizons. High BM, E/P and C/P stocks do outperform stocks with low ratios in these categories significantly and consistent over time. However, the evidence in this analysis highlights that the common explanation in rational asset-pricing models of an outperformance due to some economic risk factors that are proxied by HML and SMB must be strongly questioned. Portfolios consisting of value stocks outperform growth portfolios in all possible states of the stock market. This evidence is contradictory to the 'marginal value of wealth' assumption in the rational asset pricing models presented. Additionally, there is a January effect in stock returns which cannot be captured by a risk-based, rational asset


German Bond Yields and Debt Supply: Is There a “Bund Premium”?

German Bond Yields and Debt Supply: Is There a “Bund Premium”?

Author: Anne-Charlotte Paret

Publisher: International Monetary Fund

Published: 2019-11-01

Total Pages: 34

ISBN-13: 1513518321

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Are Bunds special? This paper estimates the “Bund premium” as the difference in convenience yields between other sovereign safe assets and German government bonds adjusted for sovereign credit risk, liquidity and swap market frictions. A higher premium suggests less substitutability of sovereign bonds. We document a rise in the “Bund premium” in the post-crisis period. We show that there is a negative relationship of the premium with the relative supply of German sovereign bonds, which is more pronounced for higher maturities and when risk aversion proxied by bond market volatility is high. Going forward, we expect German government debt supply to remain scarce, with important implications for the ECB’s monetary policy strategy.


Financial Risk Tolerance: A Psychometric Review

Financial Risk Tolerance: A Psychometric Review

Author: John E. Grable

Publisher: CFA Institute Research Foundation

Published: 2017-06-30

Total Pages: 27

ISBN-13: 1944960201

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This content provides financial analysts, investment professionals, and financial planners with a review of how financial risk-tolerance tests can and should be evaluated. It begins by clarifying terms related to risk taking and is followed by a broad overview of two important measurement terms: validity and reliability. It concludes with examples for practice.


Empirical Finance

Empirical Finance

Author: Shigeyuki Hamori

Publisher: MDPI

Published: 2019-03-25

Total Pages: 276

ISBN-13: 3038977063

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There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of “Empirical Finance” and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.


Credit Risk

Credit Risk

Author: Niklas Wagner

Publisher: CRC Press

Published: 2008-05-28

Total Pages: 600

ISBN-13: 1584889950

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Featuring contributions from leading international academics and practitioners, Credit Risk: Models, Derivatives, and Management illustrates how a risk management system can be implemented through an understanding of portfolio credit risks, a set of suitable models, and the derivation of reliable empirical results. Divided into six sectio


Dynamic strategy and performance of german equity and bond mutual funds

Dynamic strategy and performance of german equity and bond mutual funds

Author: Nikola Jelicic

Publisher: diplom.de

Published: 2010-03-30

Total Pages: 101

ISBN-13: 3836644487

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Inhaltsangabe:Introduction: Measuring performance of fund managers is a topic equally interesting to practitioners and researchers. Most common performance measures rely on the assumption of constant risk during the entire evaluation period. The measure of risk is the beta from the Capital Asset Pricing Model (CAPM). In order to better assess a manager s investment ability, additional factors could be employed to capture the different sources of risk. The manager owes each portion of the achieved return to a certain risk factor. The risks a manager is running can be summed up to form his personal benchmark, which thus reflects the investment style. Still, the exposures to the included risk factors are assumed to be constant. The dynamics of the capital markets had not been captured by the prevailing performance measures before an approach that controlled for varying economic conditions was suggested. Models that are based on this approach deliver a beta conditional on the market state. The manager s exposure to the risk of the own benchmark was thus allowed to vary in time. Consequently, the search for indicators of the market states was launched and a model framework which could accommodate the chosen indicators as part of the benchmark had to be chosen. Two model frameworks emerged and a couple of indicators established themselves as standard. This study largely follows the approach of Ferson and Schadt. They introduced a linear model that can be perceived as a conditional version of the CAPM. The aim of this study is not only to obtain performance measures which result from the conditional models. Since the variation in the exposure to market risk is accounted for, one who employs conditional models gains insight into fund manager s trading. If the trading is reflected in changes of the beta, then inference on fund strategy is made possible even though information on the portfolio structure is not provided. The explanatory power of a conditional model depends on the researcher selecting a representative benchmark for the funds in the sample and indicators of economic conditions that fund managers rely on in reality. The structure of this paper is the following: chapter 2 builds the theoretical foundation of conditional models and presents their two forms; chapter 3 relates this study to previous literature in the area; chapter 4 employs conditional models to evaluate strategies and performance of German fund managers; chapter 5 sums up the [...]


Stock Market Anomalies

Stock Market Anomalies

Author: Victor Silverio Posadas Hernandez

Publisher: Springer Science & Business Media

Published: 2007-11-03

Total Pages: 205

ISBN-13: 3835091034

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Victor Silverio Posadas Hernandez explores three sets of questions: What are the investment laws in the Latin American emerging markets (LAEM) and how do they compare to those of developed countries? How heterogeneous are the implicit trading costs in the LAEM and which factors are responsible for the heterogeneity? How does the predictability of stock returns in the LAEM differ from those documented for developed markets?