Masterarbeit, 2017
58 Seiten, Note: 1,7
This master thesis investigates the phenomenon of idiosyncratic volatility (IVOL) and its relationship to the beta anomaly. It analyzes the potential for generating alpha through strategies that exploit the negative correlation between IVOL and stock returns.
The thesis begins by providing a theoretical background on IVOL and the beta anomaly. It discusses the theoretical foundations and empirical findings related to these concepts. Chapter 3 delves into the empirical results of the research, starting with a description of the data and methodology used. The chapter then investigates the beta anomaly and analyzes the profitability of BAC strategies, considering leverage, size, and sentiment effects. It further compares the performance of BAC, BAB, and BAI strategies. The thesis concludes by summarizing the findings and discussing their implications for market participants and further research.
Idiosyncratic volatility, beta anomaly, betting-against-correlation, leverage effects, size effects, sentiment effects, alpha generation, market inefficiencies, empirical analysis, portfolio strategies.
The beta anomaly refers to the empirical observation that low-beta stocks tend to deliver higher risk-adjusted returns than high-beta stocks, contradicting the Capital Asset Pricing Model (CAPM).
IVOL is the portion of a stock's risk that is specific to the individual company and not explained by overall market movements.
BAC is a strategy that exploits the mispricing related to the correlation component of beta, often yielding alpha by going long on low-correlation stocks.
Leverage constraints and company size are significant factors that can either amplify or diminish the performance and feasibility of exploiting the beta anomaly.
BAB (Betting-Against-Beta) focuses on the total beta, while BAI (Betting-Against-Idiosyncratic volatility) specifically targets anomalies related to idiosyncratic risk.
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