Masterarbeit, 2016
77 Seiten, Note: 1,3
1 Introduction
2 The BRIC Concept
2.1 Introducing the BRIC Countries
2.2 Heterogeneous Conditions
2.3 Volatility of the Investors’ Interest in the BRIC Markets
3 Theoretical Background of Stock Market Anomalies
3.1 Stock Market Anomalies – Definition
3.2 Capital Market Model – CAPM
3.2.1 The Model
3.2.2 Theory of Efficient Markets
3.2.3 Criticism of the CAPM
3.3 Conditions for Anomalies in the BRIC Countries
3.3.1 Market Efficiency in the BRIC Countries
3.3.2 Brazil
3.3.3 Russia
3.3.4 India
3.3.5 China
3.3.6 Hypothesis
4 Stock Market Anomalies
4.1 Valuation Anomalies
4.1.1 Size Effect
4.1.2 Price-to-Book Effect / Book-to-Market Effect
4.1.3 Price-Earnings-Ratio Effect
4.2 Calendar Anomalies
4.2.1 January Effect and Weekend Effect
5 Can further Risk Factors Invalidate Valuation Anomalies?
5.1 Fama and French’s Multi-Factor Model – Approach
5.2 Fama and French’s Three-Factor Model
6 Research Overview – Valuation Anomalies in the BRIC Countries
6.1 Brazil
6.2 Russia
6.3 India
6.4 China
7 Size and Price-to-Book Effect Analysis
7.1 Data and Methodology
7.1.1 Data
7.1.2 Methodology
7.2 Examination of the Brazilian Stock Market
7.2.1 The Brazilian Sample
7.2.2 Empirical Evidence for the Brazilian Stock Market
7.3 Examination of the Russian Stock Market
7.3.1 The Russian Sample
7.3.2 Empirical Evidence for the Russian Stock Market
7.4 Examination of the Indian Stock Market
7.4.1 The Indian Sample
7.4.2 Empirical Evidence for the Indian Stock Market
7.5 Examination of the Chinese Stock Market
7.5.1 The Chinese Sample
7.5.2 Empirical Evidence for the Chinese Stock Market
7.6 Discussion
8 Conclusion
This thesis examines the existence and validity of market anomalies—specifically the size effect and the price-to-book (book-to-market) effect—within the BRIC (Brazil, Russia, India, China) equity markets. The primary research goal is to determine if these anomalies persist in emerging markets and whether they can be explained by risk factors captured in the Fama and French three-factor model, or if they point toward underlying market inefficiencies.
4.1.1 Size Effect
The size effect denominates the significant negative correlation between stock return and market capitalization, after adjusting for the systematic risk, defined by the CAPM. For small companies with low amounts of market capitalization, the number of shares outstanding (NOSH) times stock price, a significantly higher stock return on average can be reported than for companies with a high market capitalization.47
The first to publish a survey on this specific phenomenon was Banz (1981). He found evidence that stock return and respective market capitalization are strongly correlated. Thus, he performed cross-sectional regressions of stock portfolio returns on the stock portfolio’s market capitalizations. The portfolios were determined annually on the basis of market capitalization and CAPM beta. According to his findings, in the four decades from 1936 until 1977, small NYSE firms had, on average, significantly larger risk-adjusted returns than large NYSE firms.48
The second important paper which most subsequent examinations that deal with the size effect, refer to, was published three years later by Reinganum (1983a). Compared to Banz (1980), he included stocks from the NYSE and the AMEX in his sample and scales the timeframe from 1963 until 1980. Reinganum created stock portfolios on an annual basis, using the end-of-the-year market capitalization decile in order to define the thresholds. Every resulting portfolio consisted of ten percent of the total number of the stocks listed at NYSE and AMEX. For the subsequent year, the portfolios stayed unmodified, and so the equally weighted annual returns could be obtained. Thus, portfolio returns for small to big firm portfolios were calculated annually, and the time series for each portfolio’s returns was averaged. By sorting portfolios from a low to a high average market value of the containing stocks, it became pronounced that the average portfolio return decreased with the average firm size.
1 Introduction: Introduces the research gap regarding stock market anomalies in developing markets and outlines the study's focus on the BRIC nations.
2 The BRIC Concept: Provides background on the origin of the BRIC acronym and discusses the diverse economic conditions and growth potential of the four member states.
3 Theoretical Background of Stock Market Anomalies: Explains the CAPM, the efficient market hypothesis, and the theoretical definitions of market anomalies.
4 Stock Market Anomalies: Details common valuation and calendar anomalies observed in established markets, setting the stage for the empirical study.
5 Can further Risk Factors Invalidate Valuation Anomalies?: Introduces the Fama and French multi-factor framework as an alternative to the CAPM for explaining asset returns.
6 Research Overview – Valuation Anomalies in the BRIC Countries: Reviews existing empirical literature regarding size and book-to-market effects specifically within the BRIC countries.
7 Size and Price-to-Book Effect Analysis: Presents the primary empirical research methodology and individual country-specific results for Brazil, Russia, India, and China.
8 Conclusion: Synthesizes the findings of the empirical study and offers final insights into the persistence of anomalies and the applicability of risk models in the BRIC markets.
BRIC, Market Anomalies, Size Effect, Price-to-Book Effect, CAPM, Fama and French, Emerging Markets, Stock Returns, Market Efficiency, Beta, Valuation, Risk Factors, Financial Reform, Portfolio Management, Cross-Sectional Regression.
The research focuses on analyzing stock market anomalies, specifically the "size effect" and "price-to-book effect," within the emerging economies of Brazil, Russia, India, and China.
The thesis explores market efficiency, the limitations of the Capital Asset Pricing Model (CAPM), Fama and French's multi-factor models, and the unique economic conditions of the BRIC nations.
The objective is to determine if established anomalies from developed markets appear in BRIC markets and to test if these anomalies can be explained by additional risk factors instead of just market inefficiency.
The study uses empirical portfolio construction and cross-sectional regression analysis, applying the Fama and French methodology to identify anomalies and measure the impact of systematic risk, size, and book-to-market ratios on stock returns.
The main body moves from theoretical foundations of market models and anomalies to a literature review of BRIC-specific studies, followed by a rigorous empirical section that tests market data from 1996 to 2015.
Key terms include BRIC, market anomalies, size effect, price-to-book effect, CAPM, Fama and French, emerging markets, market efficiency, and systematic risk.
The Russian market is characterized as the least explored and exhibits significant structural challenges, such as high concentration and historical volatility, which necessitated specific adjustments in the data sample preparation.
The research indicates that the Chinese market shows the most significant evidence for both size and book-to-market anomalies among the BRIC countries, with company size acting as a strong risk proxy.
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