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Essays On Investor Sentiment And Institutional Trading Momentum


Essays On Investor Sentiment And Institutional Trading Momentum
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Essays On Investor Sentiment And Institutional Trading Momentum


Essays On Investor Sentiment And Institutional Trading Momentum
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Author : James Gerard Bulsiewicz
language : en
Publisher:
Release Date : 2016

Essays On Investor Sentiment And Institutional Trading Momentum written by James Gerard Bulsiewicz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Finance categories.




Two Essays On Investor Sentiment And The Profitability Of Contrarian And Momentum Strategies


Two Essays On Investor Sentiment And The Profitability Of Contrarian And Momentum Strategies
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Author : Changmei Zhang
language : en
Publisher:
Release Date : 2010

Two Essays On Investor Sentiment And The Profitability Of Contrarian And Momentum Strategies written by Changmei Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Foreign exchange market categories.




Two Essays On Stock Preference And Performance Of Institutional Investors


Two Essays On Stock Preference And Performance Of Institutional Investors
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Author : Jin Xu (doctor of finance.)
language : en
Publisher:
Release Date : 2008

Two Essays On Stock Preference And Performance Of Institutional Investors written by Jin Xu (doctor of finance.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Capitalists and financiers categories.


Two essays on the stock preference and performance of institutional investors are included in the dissertation. In the first essay, I document that mutual fund managers and other institutional investors tend to hold stocks with higher betas. This effect holds even after precisely controlling for stocks' risk characteristics such as size, book-to-market equity ratio and momentum. This is contrary to the widely accepted view that betas are no longer associated with expected returns. However, these results support my simple model where a fund manager's payoff function depends on returns in excess of a benchmark. For the manager, on the one hand, he tends to load up with high beta stocks since he wants to co-move with the market and other factors as much as possible. On the other hand, the manager faces a trade-off between expected performance and the volatility of tracking error. My model thus shows that the manager prefers to choose higher beta than his benchmark, and that his beta choice has an optimal level which depends on his perceived factor returns and volatility. My empirical findings further confirm the model results. First, I show that the effect of managers holding higher beta stocks is robust to a number of alternative explanations including the effects of their liquidity selection or trading activities. Second, consistent with the model predictions of managers sticking close to their benchmarks during risky periods, I demonstrate that the average beta choice of mutual fund managers can predict future market volatility, even after controlling for other common volatility predictors, such as lagged volatility and implied volatility. The second essay is the first to explicitly address the performance of actively managed mutual funds conditioned on investor sentiment. Almost all fund size quintiles subsequently outperform the market when sentiment is low while all of them underperform the market when sentiment is high. This also holds true after adjusting the fund returns by various performance benchmarks. I further show that the impact of investor sentiment on fund performance is mostly due to small investor sentiment. These findings can partially validate the existence of actively managed mutual funds which underperform the market overall (Gruber 1996). In addition, when conditioning on investor sentiment, the pattern of decreasing returns to scale in mutual funds, recently documented in Chen, Hong, Huang, and Kubik (2004), is fully reversed when sentiment is high while the pattern persists and is more pronounced when sentiment is low. Further results suggest that smaller funds tend to hold smaller stocks, which is shown to drive the above patterns. I also document that smaller funds have more sentiment timing ability or feasibility than larger funds. These findings have many important implications including persistence of fund performance which may not exist under conventional performance measures.



Two Essays On Financial Markets And Institutional Investors


Two Essays On Financial Markets And Institutional Investors
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Author : Haoyu Xu
language : en
Publisher:
Release Date : 2016

Two Essays On Financial Markets And Institutional Investors written by Haoyu Xu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.


My thesis consists two studies on financial markets and institutional investors. In Chapter 2, I study the trades immediately after the market open and immediately before the market close. The trades in the morning positively predict future returns and cause price continuation. The trades in the afternoon negatively predict future returns and cause price reversals. The momentum trading strategies based on morning returns and the reversal trading strategies based on afternoon returns generate significant abnormal returns, which cannot be explained by standard risk factors including momentum and reversal factors. The results provide strong evidence that trades in the morning are mostly information driven and trades in the afternoon are mostly liquidity driven. In Chapter 3, we explore the properties of equity mutual funds that experience a loss of assets after poor performance. We document that both inflows and outflows are less sensitive to performance because performance-sensitive investors leave or decide not to invest after bad performance. Consistent with the idea that attrition measures the sorting of performance-sensitive investors, we find that attrition has less of an impact on the fundâ s flow-performance sensitivity for institutional funds where there is less dispersion in investor performance-sensitivity. Also, attrition has no effect on the flow- performance sensitivity when attrition arises after good performance or investors invest for non-performance reasons.



Trading On Sentiment


Trading On Sentiment
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Author : Richard L. Peterson
language : en
Publisher: John Wiley & Sons
Release Date : 2016-03-21

Trading On Sentiment written by Richard L. Peterson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-21 with Business & Economics categories.


In his debut book on trading psychology, Inside the Investor’s Brain, Richard Peterson demonstrated how managing emotions helps top investors outperform. Now, in Trading on Sentiment, he takes you inside the science of crowd psychology and demonstrates that not only do price patterns exist, but the most predictable ones are rooted in our shared human nature. Peterson’s team developed text analysis engines to mine data - topics, beliefs, and emotions - from social media. Based on that data, they put together a market-neutral social media-based hedge fund that beat the S&P 500 by more than twenty-four percent—through the 2008 financial crisis. In this groundbreaking guide, he shows you how they did it and why it worked. Applying algorithms to social media data opened up an unprecedented world of insight into the elusive patterns of investor sentiment driving repeating market moves. Inside, you gain a privileged look at the media content that moves investors, along with time-tested techniques to make the smart moves—even when it doesn’t feel right. This book digs underneath technicals and fundamentals to explain the primary mover of market prices - the global information flow and how investors react to it. It provides the expert guidance you need to develop a competitive edge, manage risk, and overcome our sometimes-flawed human nature. Learn how traders are using sentiment analysis and statistical tools to extract value from media data in order to: Foresee important price moves using an understanding of how investors process news. Make more profitable investment decisions by identifying when prices are trending, when trends are turning, and when sharp market moves are likely to reverse. Use media sentiment to improve value and momentum investing returns. Avoid the pitfalls of unique price patterns found in commodities, currencies, and during speculative bubbles Trading on Sentiment deepens your understanding of markets and supplies you with the tools and techniques to beat global markets— whether they’re going up, down, or sideways.



Essays On The Investment Behavior Of Institutional Investors


Essays On The Investment Behavior Of Institutional Investors
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Author : Russell Richard Wermers
language : en
Publisher:
Release Date : 1995

Essays On The Investment Behavior Of Institutional Investors written by Russell Richard Wermers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Institutional investments categories.




Essays In Investor Sentiment


Essays In Investor Sentiment
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Author : Major Coleman
language : en
Publisher:
Release Date : 2013

Essays In Investor Sentiment written by Major Coleman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.


Chapter 1. If investors choose consumption and investment levels jointly to maximize expected utility or value, then investor sentiment about stock returns should be reflected in consumption choices. I find a positive contemporaneous relationship between aggregate consumption of nondurables and investor stock sentiment. Investors' false perceptions of changes in stock market wealth appear to move consumption in the same direction initially. But as expected stock returns do not materialize, sentiment-based consumption is reversed. On average, this reversal occurs two to four years later, which coincides with the time it takes for sentiment to correct from prior levels. Sentiment does not positively predict returns as a positive proxy of rational expectations of risk would. Nor does sentiment negatively predict the covariance between consumption growth and returns as an inverse proxy for rational expectations of risk would. The results suggest that bias in investor expectations is an important factor in consumption-based asset pricing models. Chapter 2. I hypothesize that directly observable past returns drive housing investment more so than fundamentals because the difference between price and fundamental value---sentiment---is not directly observable. Housing sentiment only becomes recognizable when it is extreme, so the magnitude of sentiment must be large enough relative to recent returns in order for prices to correct. I construct indices of housing sentiment and use the measures to calibrate a specification of home price growth driven by momentum investing. I find that home price growth is persistent even when prices are moving away from fundamental value, and reversals in home price growth are only likely when the housing sentiment measures are extreme.



Essays On Investors Sentiment And Attention


Essays On Investors Sentiment And Attention
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Author : Daniele Ballinari
language : en
Publisher:
Release Date : 2021

Essays On Investors Sentiment And Attention written by Daniele Ballinari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


The first paper investigates the predictive power of investors' sentiment and attention for the stock returns' volatility. We introduce a novel and extensive dataset that combines information from social media platforms, news articles, search engine data, and information consumption. Applying a state-of-the-art sentiment classification technique, we construct measures of investors' sentiment and attention for 18 U.S. stocks and the financial market in general. We identify investors' attention, as measured by the number of Google searches on financial keywords (e.g. «financial market» and «stock market»), and the daily volume of company-specific short messages posted on the social media platform StockTwits to be the most relevant variables. The second paper investigates a potential driver of the predictive power documented in the first paper. We focus on news releases of 360 U.S. companies from the S&P 500 universe and analyze how investors' attention affects the speed at which new information is incorporated in stock prices. Our results show that higher investors' attention around news releases is related to higher contemporaneous volatility. Further, retail investor attention increases the post-announcement volatility, whereas institutional investor attention has a small but negative impact on volatility on days following news releases. The third paper extends the analysis of the first paper to the multivariate stock return volatility. Building on the theoretical and empirical evidence that links the price comovements with retail investors' behavior, we analyze the predictive power of retail investors' sentiment and attention for the realized correlation matrix of 35 Dow Jones stocks. We propose a new model of realized covariances that allows exogenous predictors to influence the correlation dynamics while ensuring the predicted matrices' positive definiteness. Using this model, we find retail investors' attention to have predictive power for return correlations, especially for longer forecasting horizons and during the COVID-19 pandemic. The last paper analyzes in more detail the time-series properties of the daily online investor sentiment measures used in the first two papers. We detect structural breaks in the sentiment series for most of the 360 U.S. companies considered in this paper. We illustrate the economic significance of this finding with a return prediction exercise.



Two Essays On Institutional Investors


Two Essays On Institutional Investors
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Author : Jian Huang
language : en
Publisher:
Release Date : 2010

Two Essays On Institutional Investors written by Jian Huang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Financial institutions categories.




Valuation Uncertainty Market Sentiment And The Informativeness Of Institutional Trades


Valuation Uncertainty Market Sentiment And The Informativeness Of Institutional Trades
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Author : Lisa Yang
language : en
Publisher:
Release Date : 2016

Valuation Uncertainty Market Sentiment And The Informativeness Of Institutional Trades written by Lisa Yang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.


Prior studies indicate that institutional investors are informed, in the sense that their trades predict price changes. In this study we show that return predictive ability of institutions arises (after controlling for size, book-to-market, and momentum) mainly from institutional sales of hard-to-value stocks during periods of positive market sentiment. These results support the notion that these stocks tend to be overvalued during periods of bullish market sentiment, and institutions contribute to market efficiency by identifying and trading on these overpriced stocks.