Retail Investor Sentiment And The Stock Market
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Retail Investor Sentiment And The Stock Market
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Author : Matthias Burghardt
language : en
Publisher:
Release Date : 2009
Retail Investor Sentiment And The Stock Market written by Matthias Burghardt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Using a unique data set with 18.1 million transactions in bank-issued warrants from the European Warrant Exchange, we compute a retail investor sentiment index. We show that retail investors are contrarian, that retail investor sentiment is an important part of the equity pricing process and that we have a good measure of the sentiment. Moreover, our measure is better than existing measures for our sample period between January 2004 and December 2007. In addition, we show evidence that this data may be used for trading strategies that generate excess returns. As a whole our findings further support a role for retail investor sentiment in the equity pricing process.
Retail Investor Sentiment And Behavior
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Author : Matthias Burghardt
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-16
Retail Investor Sentiment And Behavior written by Matthias Burghardt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-16 with Business & Economics categories.
Using a unique data set consisting of more than 36.5 million submitted retail investor orders over the course of five years, Matthias Burghardt constructs an innovative retail investor sentiment index. He shows that retail investors’ trading decisions are correlated, that retail investors are contrarians, and that a profitable trading strategy can be based on these aggregated sentiment measures.
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.
Stock Message Boards
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Author : Y. Zhang
language : en
Publisher: Springer
Release Date : 2014-12-04
Stock Message Boards written by Y. Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-04 with Business & Economics categories.
Stock Message Boards provides empirical data to reveal how online communication not only impacts stock returns, but also volatility, trading volume, and liquidity, as well as an investing firm's value and reputation.
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.
Behavioral Explanations Of Investors Trading In Financial Markets
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Author : Mohammed Saad H Alhashim
language : en
Publisher:
Release Date : 2021
Behavioral Explanations Of Investors Trading In Financial Markets written by Mohammed Saad H Alhashim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Behavioral assessment categories.
In the first essay, I examine the effect of social media sentiment on the trading behavior of individual investors. I document a positive association between sentiment and retail order imbalances (i.e., individual investors tend to buy more than they sell as they become more optimistic about stocks). The association between retail investor activity and sentiment is stronger for hard-to-value stocks (small cap, low institutional ownership, and low analyst coverage firms). Finally, the association between retail order imbalances and stock returns exists only in conjunction with investor sentiment. In the second essay, I consider the effect of firm-level sentiment extracted from a social network platform on the presence of herding behavior in the US equity market. Applying a quantile regression model enables me to investigate the existence of herding during both quiet periods and extreme market movements. I also benefit from using different sampling frequencies (daily, weekly, and monthly) for detecting investor herding. I document an asymmetric association between herding and investor sentiment. Herding is present in low-optimism portfolios but not in high-optimism portfolios. I also find evidence of herding in intermediate quantiles (i.e., relatively quiet market periods but not during extreme market movements). The degree of investor attention has a moderating impact on the relationship between investor optimism and the tendency to herd, with herding being more intense among low-optimism stocks. I also find evidence that trading volume drives herding behavior. In the third essay, I estimate the impact of investor sentiment in the stock market on the return and volatility spillover risks between real estate investment trusts (REITs) and a broader equity index. The total return spillover risk from equity market to real estate is higher for low-optimism portfolios (45.76%) relative to high-optimism portfolios (41.41%). I do not document any significant impact of investor sentiment on the volatility spillover risk between REITs and the equity market (34.85% versus 34.17%). My results highlight the importance of considering investor sentiment in the stock market when constructing multi-asset portfolios that include REITs in addition to other asset classes.
Unlocking The Equity Market
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Author :
language : en
Publisher:
Release Date : 2023-10-06
Unlocking The Equity Market written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-06 with categories.
In 'Unlocking the Equity Market: Understanding Retail Investor Behavior, Biases, and Their Market-Wide Impacts, ' readers embark on a fascinating exploration of the intricate world of retail investing. This insightful work delves into the psychology and behavior of retail investors, unraveling the biases and decisionmaking processes that shape the equity market. The narrative unfolds as a deep dive into the minds of retail investors, dissecting their behavior and exploring the psychological biases that influence their market interactions. Through comprehensive research and real-world examples, the book illuminates the complexities of investor sentiment, shedding light on how emotions, cognitive biases, and social factors impact trading decisions. Readers are guided through the various cognitive biases that often lead to irrational market behavior, from overconfidence and loss aversion to herding and anchoring. The book emphasizes the profound impact of these biases not only on individual investors but also on market-wide trends, showcasing how collective retail investor behavior can influence stock prices and market volatility. 'Unlocking the Equity Market' serves as a valuable resource for both novice and experienced investors, offering insights into the underlying factors that drive market fluctuations. It equips readers with a deep understanding of retail investor behavior, enabling them to navigate the equity market with a more informed and analytical perspective. As readers delve into the complexities of investor biases, they gain valuable insights that can help them make more rational and strategic investment decisions, unlocking the potential for success in the ever-changing world of equity trading.
Relationship Between Individual Investor Sentiment With Its Volatility And Returns Of Small Cap Stocks
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Author : Qin Yong
language : en
Publisher:
Release Date : 2015
Relationship Between Individual Investor Sentiment With Its Volatility And Returns Of Small Cap Stocks written by Qin Yong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Due to the irrational behavior of individual investors have a significant impact on the stock market, and Chinese stock market with inexperienced individual investors as the main body, our individual investor sentiment may play a more important role than in Western countries in the stock trading process. Therefore, this paper use ARMA-GARCH model to examine the relationship between the investor sentiment along its volatility and the small-cap stocks, which are individually described by newly opened stock trading accounts and the CSI 500. The results show that: The individual investor behavior exhibits a short-term ARCH effects and small-cap stocks exhibit short-term gain inertia; the high number of newly opened stock trading accounts responses to high small-cap stocks yields and display a "spillover effect" to market return; using newly opened stock trading accounts as individual investor sentiment index has great explanatory power to small-cap stocks in China.
Investor Sentiment In The Stock Market
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Author : Malcolm P. Baker
language : en
Publisher:
Release Date : 2007
Investor Sentiment In The Stock Market written by Malcolm P. Baker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Finance categories.
"Real investors and markets are too complicated to be neatly summarized by a few selected biases and trading frictions. The "top down" approach to behavioral finance focuses on the measurement of reduced form, aggregate sentiment and traces its effects to stock returns. It builds on the two broader and more irrefutable assumptions of behavioral finance -- sentiment and the limits to arbitrage -- to explain which stocks are likely to be most affected by sentiment. In particular, stocks of low capitalization, younger, unprofitable, high volatility, non-dividend paying, growth companies, or stocks of firms in financial distress, are likely to be disproportionately sensitive to broad waves of investor sentiment. We review the theoretical and empirical evidence for these predictions."--abstract.
Sentiment Market Analysis
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Author : Michael N. Kahn CMT
language : en
Publisher: Pearson Education
Release Date : 2010-06-14
Sentiment Market Analysis written by Michael N. Kahn CMT and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-14 with Business & Economics categories.
This is the eBook version of the printed book. This Element is an excerpt from Technical Analysis Plain and Simple: Charting the Markets in Your Language (9780137042012), by Michael N. Kahn, CMT. Available in print and digital formats. Understanding, measuring, and using investor sentiment to predict market trends--and make more money. The least-understood area of analysis is sentiment analysis. This covers such areas as degree of speculation, public opinion, and consensus. It is measured by relative activities in speculative instruments, such as options and polls of bullish opinions. Both rely on the “burning match” theory, in which the flame is passed from investor to investor until nobody is left to take it....