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Two Essays on Investor Sentiment.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Two Essays on Investor Sentiment./
作者:
Amoulashkarian, Amin.
面頁冊數:
1 online resource (144 pages)
附註:
Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
Contained By:
Dissertations Abstracts International85-03B.
標題:
Behavioral psychology. -
電子資源:
click for full text (PQDT)
ISBN:
9798380392860
Two Essays on Investor Sentiment.
Amoulashkarian, Amin.
Two Essays on Investor Sentiment.
- 1 online resource (144 pages)
Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
Thesis (Ph.D.)--Old Dominion University, 2023.
Includes bibliographical references
The body of literature on investor sentiment underlines its impact on future stock returns, with general consensus that investor sentiments and future returns are negatively correlated (Baker and Wurgler, 2006; Brown and Cliff, 2004). This extends to the notion that a bullish investor would expect returns to be above average, while a bearish investor anticipates below-average returns (Brown and Cliff, 2004).The first essay proposes a model to examine the influence of unexpected volatility of investor sentiment on the equity risk premium. Assumptions underpinning the model include risk-averse investors, homogeneous expectations regarding asset returns and price changes, and sentiment-influenced expectations of asset returns. The model also presumes continuous-time stochastic (Weiner) processes for asset returns and sentiment. The developed model is rooted in several principles, including the Efficient Market Hypothesis, Martingale theory, and the impact of uncertain sentiment change on stock returns. Utilizing Thomson Reuters MarketPsych Indices for data analysis, the model tests sentiment metrics against the performance of the S&P 500. The results provide insights into the dynamics of investor sentiment and its impact on equity risk premium, laying the groundwork for further empirical investigation. In the first essay, we evaluate the link between industry tournament incentives and investment inefficiency. We find that firms with higher tournament incentives exhibit higher investment inefficiency. Additionally, cross-sectional tests suggest that these effects operate at least in part through both a financing channel and a monitoring channel. Taken together, our results suggest that industry tournament incentives place pressure on CEOs and affect the efficiency of firm investments.In the second essay, we examines the phenomenon of sentiment transmission across stock markets, focusing on the influence of U.S. investors' sentiment on G7 countries. The study utilizes data from the Global Finance database, including stock indices for G7 countries and two measures of sentiment for the U.S. market: news sentiment and social media sentiment. News sentiment captures the impact of positive and negative news articles on market sentiment, while social media sentiment reflects the influence of social media posts on market sentiment. The analysis employs a vector autoregression (VAR) model and Multivariate GARCH model to understand the interdependence of these variables and how changes in U.S. investors' sentiment affect other markets. The study highlights the increasing prevalence and significant impact of sentiment transmission due to the global interconnectedness of markets, amplified by financial innovations like ETFs. The findings contribute to a better understanding of sentiment transmission and its implications for global financial markets, providing insights for policymakers and market participants.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798380392860Subjects--Topical Terms:
1179418
Behavioral psychology.
Subjects--Index Terms:
Sentiment metricsIndex Terms--Genre/Form:
554714
Electronic books.
Two Essays on Investor Sentiment.
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Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
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Advisor: Najand, Mohammad.
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Thesis (Ph.D.)--Old Dominion University, 2023.
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Includes bibliographical references
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The body of literature on investor sentiment underlines its impact on future stock returns, with general consensus that investor sentiments and future returns are negatively correlated (Baker and Wurgler, 2006; Brown and Cliff, 2004). This extends to the notion that a bullish investor would expect returns to be above average, while a bearish investor anticipates below-average returns (Brown and Cliff, 2004).The first essay proposes a model to examine the influence of unexpected volatility of investor sentiment on the equity risk premium. Assumptions underpinning the model include risk-averse investors, homogeneous expectations regarding asset returns and price changes, and sentiment-influenced expectations of asset returns. The model also presumes continuous-time stochastic (Weiner) processes for asset returns and sentiment. The developed model is rooted in several principles, including the Efficient Market Hypothesis, Martingale theory, and the impact of uncertain sentiment change on stock returns. Utilizing Thomson Reuters MarketPsych Indices for data analysis, the model tests sentiment metrics against the performance of the S&P 500. The results provide insights into the dynamics of investor sentiment and its impact on equity risk premium, laying the groundwork for further empirical investigation. In the first essay, we evaluate the link between industry tournament incentives and investment inefficiency. We find that firms with higher tournament incentives exhibit higher investment inefficiency. Additionally, cross-sectional tests suggest that these effects operate at least in part through both a financing channel and a monitoring channel. Taken together, our results suggest that industry tournament incentives place pressure on CEOs and affect the efficiency of firm investments.In the second essay, we examines the phenomenon of sentiment transmission across stock markets, focusing on the influence of U.S. investors' sentiment on G7 countries. The study utilizes data from the Global Finance database, including stock indices for G7 countries and two measures of sentiment for the U.S. market: news sentiment and social media sentiment. News sentiment captures the impact of positive and negative news articles on market sentiment, while social media sentiment reflects the influence of social media posts on market sentiment. The analysis employs a vector autoregression (VAR) model and Multivariate GARCH model to understand the interdependence of these variables and how changes in U.S. investors' sentiment affect other markets. The study highlights the increasing prevalence and significant impact of sentiment transmission due to the global interconnectedness of markets, amplified by financial innovations like ETFs. The findings contribute to a better understanding of sentiment transmission and its implications for global financial markets, providing insights for policymakers and market participants.
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