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Essays in Behavioral Finance and Asset Pricing.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Essays in Behavioral Finance and Asset Pricing./
作者:	Chen, Shuosong.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	144 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-02, Section: A.
Contained By:	Dissertations Abstracts International83-02A.
標題:	Finance. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28321912
ISBN:	9798534651836

Essays in Behavioral Finance and Asset Pricing.
Chen, Shuosong.

Essays in Behavioral Finance and Asset Pricing. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 144 p.

Source: Dissertations Abstracts International, Volume: 83-02, Section: A.

Thesis (Ph.D.)--Yale University, 2021.

This item must not be sold to any third party vendors.

This dissertation studies a range of topics in behavioral finance and asset pricing. The three essays presented in this dissertation have the common theme of using economic theory to explain puzzling phenomena in financial markets. Chapters 1 and 2 focus on one of the most well-known theories in behavioral finance, the prospect theory, and its implications on asset returns in the U.S. stock market and options market. Chapter 3 switches the focus to the Chinese warrants market, and explores the pricing efficiency of option pricing models from an econometric perspective.Chapter 1 asks the question "why do investors sometimes require higher expected returns from the stock market in compensation for bearing volatility, but sometimes do not?" We answer this question by referring to two important components of the prospect theory, namely decreasing sensitivity and loss aversion. On one hand, decreasing sensitivity suggests that after investors have experienced a prior loss, they will behave in a locally risk-seeking way, such that the higher the market volatility, the lower the expected return they require from the market. On the other hand, even after a prior loss, investors do not like too much volatility because the pain inflicted by extra losses exceed the joy coming from extra gains. Consistent with the theory, we find the mean-variance relation depends on the relative strength of decreasing sensitivity and loss aversion.In Chapter 2, Jianfei Cao and I ask the question "do investors' preferences over risk change over time in terms of their degrees of loss aversion and probability weighting, and if so, how do these preferences change with other economic variables?" To answer that question, we build a representative agent model based on the prospect theory, and in a dynamic setting, we estimate the structural parameters in the model using data on the U.S. stock market and the options market. Our results show that after the 2007-2008 financial crisis, investors became more loss averse, and had a weaker tendency to overweight right tail events of the market. We also find close relationships between the prospect theory parameters and investor sentiment.Chapter 3 studies the performance of various option pricing models in the Chinese warrants market. To capture the negative skewness and heavy tails in the distribution of Chinese stock returns, we modify the canonical Black-Scholes model from two perspectives. First, we introduce stochastic volatility into stock price dynamics using GARCH (generalized autoregressive conditional heteroscedasticity) models. Second, we add Poisson jumps to reflect big shocks to stock prices. We then conduct Monte Carlo simulations to calculate theoretical warrant prices implied by different models, and compare them with the observed prices. Our results show that the more sophisticated models successfully explain a large part of the discrepancy between theoretical and real prices, but the differences remain non-negligible in some cases, suggesting the existence of bubbles in the Chinese warrants market.

ISBN: 9798534651836Subjects--Topical Terms:

542899
Finance.
Subjects--Index Terms:

Asset pricing

Essays in Behavioral Finance and Asset Pricing.
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300 $a 144 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-02, Section: A.
500 $a Advisor: Barberis, Nicholas;Shiller, Robert.
502 $a Thesis (Ph.D.)--Yale University, 2021.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a This dissertation studies a range of topics in behavioral finance and asset pricing. The three essays presented in this dissertation have the common theme of using economic theory to explain puzzling phenomena in financial markets. Chapters 1 and 2 focus on one of the most well-known theories in behavioral finance, the prospect theory, and its implications on asset returns in the U.S. stock market and options market. Chapter 3 switches the focus to the Chinese warrants market, and explores the pricing efficiency of option pricing models from an econometric perspective.Chapter 1 asks the question "why do investors sometimes require higher expected returns from the stock market in compensation for bearing volatility, but sometimes do not?" We answer this question by referring to two important components of the prospect theory, namely decreasing sensitivity and loss aversion. On one hand, decreasing sensitivity suggests that after investors have experienced a prior loss, they will behave in a locally risk-seeking way, such that the higher the market volatility, the lower the expected return they require from the market. On the other hand, even after a prior loss, investors do not like too much volatility because the pain inflicted by extra losses exceed the joy coming from extra gains. Consistent with the theory, we find the mean-variance relation depends on the relative strength of decreasing sensitivity and loss aversion.In Chapter 2, Jianfei Cao and I ask the question "do investors' preferences over risk change over time in terms of their degrees of loss aversion and probability weighting, and if so, how do these preferences change with other economic variables?" To answer that question, we build a representative agent model based on the prospect theory, and in a dynamic setting, we estimate the structural parameters in the model using data on the U.S. stock market and the options market. Our results show that after the 2007-2008 financial crisis, investors became more loss averse, and had a weaker tendency to overweight right tail events of the market. We also find close relationships between the prospect theory parameters and investor sentiment.Chapter 3 studies the performance of various option pricing models in the Chinese warrants market. To capture the negative skewness and heavy tails in the distribution of Chinese stock returns, we modify the canonical Black-Scholes model from two perspectives. First, we introduce stochastic volatility into stock price dynamics using GARCH (generalized autoregressive conditional heteroscedasticity) models. Second, we add Poisson jumps to reflect big shocks to stock prices. We then conduct Monte Carlo simulations to calculate theoretical warrant prices implied by different models, and compare them with the observed prices. Our results show that the more sophisticated models successfully explain a large part of the discrepancy between theoretical and real prices, but the differences remain non-negligible in some cases, suggesting the existence of bubbles in the Chinese warrants market.
590 $a School code: 0265.
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650 4 $a Hypotheses. $3 3560118
650 4 $a Equilibrium. $3 668417
650 4 $a Variables. $3 3548259
650 4 $a Preferences. $3 3560350
650 4 $a Probability. $3 518898
650 4 $a Prices. $3 652651
650 4 $a Stochastic models. $3 764002
650 4 $a Time series. $3 3561811
650 4 $a Investor behavior. $3 3684816
653 $a Asset pricing
653 $a Behavioral finance
653 $a Financial markets
653 $a Prospect theory
653 $a Market volatility
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773 0 $t Dissertations Abstracts International $g 83-02A.
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792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28321912