This paper investigates the optimal dynamic investment for an investor who maximizes constant absolute risk aversion （CARA） utility in a discrete-time market with a riskfree bond and a risky stock. The risky stock i...This paper investigates the optimal dynamic investment for an investor who maximizes constant absolute risk aversion （CARA） utility in a discrete-time market with a riskfree bond and a risky stock. The risky stock is assumed to present both the dividend risk and the price risk. With our assumptions, the dividend risk is equivalent to fundamental risk, and the price risk is equivalent to the noise trading risk. The analytical expression for the optimal investment strategy is obtained by dynamic programming. The main result in this paper highlights the importance of differentiating between noise trading risk and fundamental risk for the optimal dynamic investment.展开更多
The paper asserts that the misperceptions of noise traders are a behavioral bias characterized by overreactions. By introducing the overreaction coefficient, we provide an explanation for the volatility of asset price...The paper asserts that the misperceptions of noise traders are a behavioral bias characterized by overreactions. By introducing the overreaction coefficient, we provide an explanation for the volatility of asset prices and bubbles in a simplified framework that is similar to the DSSW （1990a） model. When the underlying asset is involved with a fundamental shock, noise traders will generally overreact to it, which creates an ＂overreaction risk＂. This kind of risk will make the asset prices more volatile, and even make up asset bubbles. Therefore, asset bubbles can be regarded as a psychological phenomenon, and are actually the results of the psychological changing process of noise traders.展开更多
基金the Institute for Quantitative Finance and Insurance (IQFI) at the University of Waterloothe National Science Foundation of China under Grant No.70518001+4 种基金the National Basic Research Program of China (973 Program) under Grant No.2007CB814902the Social Science & Humanities foundation of Ministry of Education of China under Grant No.07JA630031the funding from the Canada Research Chairs Programthe Natural Sciences and Engineering Research Council of Canadathe Cheung Kong Scholar Program of China
文摘This paper investigates the optimal dynamic investment for an investor who maximizes constant absolute risk aversion （CARA） utility in a discrete-time market with a riskfree bond and a risky stock. The risky stock is assumed to present both the dividend risk and the price risk. With our assumptions, the dividend risk is equivalent to fundamental risk, and the price risk is equivalent to the noise trading risk. The analytical expression for the optimal investment strategy is obtained by dynamic programming. The main result in this paper highlights the importance of differentiating between noise trading risk and fundamental risk for the optimal dynamic investment.
文摘The paper asserts that the misperceptions of noise traders are a behavioral bias characterized by overreactions. By introducing the overreaction coefficient, we provide an explanation for the volatility of asset prices and bubbles in a simplified framework that is similar to the DSSW （1990a） model. When the underlying asset is involved with a fundamental shock, noise traders will generally overreact to it, which creates an ＂overreaction risk＂. This kind of risk will make the asset prices more volatile, and even make up asset bubbles. Therefore, asset bubbles can be regarded as a psychological phenomenon, and are actually the results of the psychological changing process of noise traders.
