Stock return predictability continues to attract an enormous amount of attention and yet the empirical evidence struggles to meet a general consensus. While a number of studies debate on the ability of economically meaningful variables such as dividend yield, term spread and consumption-wealth ratio to predict future stock returns, an important strand of the literature focuses on how to accurately incorporate the effect of stylized facts such as stochastic volatility and jumps on the data generating process of stock returns. However attempts have produced mixed results and mainly examined model specifications by using statistical measures. The economic advantage of using double-jump models remains largely unexplored. We find that, under both latent volatility and realized volatility measures, although jumps clearly affect the optimal weights, the pure diffusion model has better portfolio performance than jump-diffusion model, as stochastic volatility alone delivers the best portfolio performance. In addition, adding jumps in volatility yields more economic gains over the jump-diffusion model.
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Ye Zhou, PhD: Studied Quantitative Finance at Warwick Business School. He is presently a financial analyst at Bank of America Merrill Lynch, specialising in equity derivatives and credit derivatives.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Stock return predictability continues to attract an enormous amount of attention and yet the empirical evidence struggles to meet a general consensus. While a number of studies debate on the ability of economically meaningful variables such as dividend yield, term spread and consumption-wealth ratio to predict future stock returns, an important strand of the literature focuses on how to accurately incorporate the effect of stylized facts such as stochastic volatility and jumps on the data generating process of stock returns. However attempts have produced mixed results and mainly examined model specifications by using statistical measures. The economic advantage of using double-jump models remains largely unexplored. We find that, under both latent volatility and realized volatility measures, although jumps clearly affect the optimal weights, the pure diffusion model has better portfolio performance than jump-diffusion model, as stochastic volatility alone delivers the best portfolio performance. In addition, adding jumps in volatility yields more economic gains over the jump-diffusion model. 168 pp. Englisch. Bestandsnummer des Verkäufers 9783659898327
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zhou YeYe Zhou, PhD: Studied Quantitative Finance at Warwick Business School. He is presently a financial analyst at Bank of America Merrill Lynch, specialising in equity derivatives and credit derivatives.Stock return predictabi. Bestandsnummer des Verkäufers 158606495
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Stock return predictability continues to attract an enormous amount of attention and yet the empirical evidence struggles to meet a general consensus. While a number of studies debate on the ability of economically meaningful variables such as dividend yield, term spread and consumption-wealth ratio to predict future stock returns, an important strand of the literature focuses on how to accurately incorporate the effect of stylized facts such as stochastic volatility and jumps on the data generating process of stock returns. However attempts have produced mixed results and mainly examined model specifications by using statistical measures. The economic advantage of using double-jump models remains largely unexplored. We find that, under both latent volatility and realized volatility measures, although jumps clearly affect the optimal weights, the pure diffusion model has better portfolio performance than jump-diffusion model, as stochastic volatility alone delivers the best portfolio performance. In addition, adding jumps in volatility yields more economic gains over the jump-diffusion model.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch. Bestandsnummer des Verkäufers 9783659898327
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Taschenbuch. Zustand: Neu. Economic Value of Stock Return Models: Evidence from Optimal Portfolio | Ye Zhou | Taschenbuch | 168 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659898327 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 103631989
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Stock return predictability continues to attract an enormous amount of attention and yet the empirical evidence struggles to meet a general consensus. While a number of studies debate on the ability of economically meaningful variables such as dividend yield, term spread and consumption-wealth ratio to predict future stock returns, an important strand of the literature focuses on how to accurately incorporate the effect of stylized facts such as stochastic volatility and jumps on the data generating process of stock returns. However attempts have produced mixed results and mainly examined model specifications by using statistical measures. The economic advantage of using double-jump models remains largely unexplored. We find that, under both latent volatility and realized volatility measures, although jumps clearly affect the optimal weights, the pure diffusion model has better portfolio performance than jump-diffusion model, as stochastic volatility alone delivers the best portfolio performance. In addition, adding jumps in volatility yields more economic gains over the jump-diffusion model. Bestandsnummer des Verkäufers 9783659898327
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