Download or read book Investor Sentiment Measures written by Lily Qiu and published by . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper compares investor sentiment measures based on consumer confidence surveys with measures extracted from the closed-end fund discount (CEFD). Our evidence suggests that these two kinds of sentiment measures do not correlate well with one another. For a short 2 - 4 year period in which we have direct investor sentiment survey data from UBS/Gallup, only the consumer confidence correlates well with investor sentiment. Further, only the consumer confidence based measure can robustly explain the small-firm return spread and the return spread between stocks held disproportionately by retail investors and those held by institutional investors. Surprisingly, there is even a hint that the consumer confidence measure can explain closed-end fund IPO activity, while the CEFD cannot. In sum, our evidence supports the view that sentiment plays a role in financial markets, but that the CEFD may be the wrong measure of sentiment.

Download or read book Investor Sentiment Measures written by Lily Xiaoli Qiu and published by . This book was released on 2010 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper compares investor sentiment measures based on consumer confidence surveys with measures extracted from the closed-end fund discount (CEFD). Our evidence suggests that these two kinds of sentiment measures do not correlate well with one another. For a short 2 - 4 year period in which we have direct investor sentiment survey data from UBS/Gallup, only the consumer confidence correlates well with investor sentiment. Further, only the consumer confidence based measure can robustly explain the small-firm return spread and the return spread between stocks held disproportionately by retail investors and those held by institutional investors. Surprisingly, there is even a hint that the consumer confidence measure can explain closed-end fund IPO activity, while the CEFD cannot. In sum, our evidence supports the view that sentiment plays a role in financial markets, but that the CEFD may be the wrong measure of sentiment.

Download or read book Investment Sentiment Measures written by Lily Qiu and published by . This book was released on 2004 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This paper compares investor sentiment measures based on consumer confidence surveys with measures extracted from the closed-end fund discount (CEFD). Our evidence suggests that these two kinds of sentiment measures do not correlate well with one another. For a short 2-4 year period in which we have direct investor sentiment survey data from UBS/Gallup, only the consumer confidence correlates well with investor sentiment. Further, only the consumer confidence based measure can robustly explain the small-firm return spread and the return spread between stocks held disproportionately by retail investors and those held by institutional investors. Surprisingly, there is even a hint that the consumer confidence measure can explain closed-end fund IPO activity, while the CEFD cannot. In sum, our evidence supports the view that sentiment plays a role in financial markets, but that the CEFD may be the wrong measure of sentiment"--National Bureau of Economic Research web site.

Download or read book Retail Investor Sentiment and Behavior written by Matthias Burghardt and published by Springer Science & Business Media. This book was released on 2011-03-16 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Investor Sentiment written by Vandana Singhvi and published by . This book was released on 2001 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Stock Message Boards written by Y. Zhang and published by Springer. This book was released on 2014-12-04 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Closed end Fund Discount written by Elroy Dimson and published by . This book was released on 2002 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Exploiting Investor Sentiment for Portfolio Optimization written by Nicolas Banholzer and published by GRIN Verlag. This book was released on 2018-09-17 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2018 in the subject Mathematics - Statistics, grade: 1.0, University of Augsburg (Wirtschaftswissenschaftliche Fakultät, Lehrstuhl für Statistik), language: English, abstract: In efficient financial markets, there is no room for sentimental investors. Any new information would be immediately absorbed and any mispricing immediately corrected by the forces of rational arbitrageurs doing the maths with the fundamentals. But why should financial markets be different from any other market where humans interact and are subject to psychological biases? There is strong empirical evidence that investor sentiment, broadly defined as "a belief about future cash flows and investment risks that is not justified by the facts at hand", plays an important role in financial markets. It can lead to significant overpricing/underpricing, particularly of assets prone to subjective valuations. With limits/risks to arbitrage in the short term, prices rather correct over the medium to long term as sentimental beliefs mean-revert. Building on the studies by Baker and Wurgler 2006 and Baker, Wurgler, and Y. Yuan 2012, measures of investor sentiment for international markets are constructed. Using the Copula Opinion Pooling approach developed by Attilio Meucci, this thesis shows how to incorporate these sentiment measures into portfolio optimization. Thereby, a sentiment-based trading strategy that exploits the medium-term reversal effect of sentiment is developed and empirically tested. The results are promising as they provide strong evidence that sentiment contains beneficial information that should not be neglected by quantitative portfolio managers.

Download or read book Investor Sentiment and the Near Term Stock Market written by Michael T. Cliff and published by . This book was released on 2012 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: We investigate investor sentiment and its relation to near-term stock market returns. We find that many commonly-cited indirect measures of sentiment are related to direct measures (surveys) of investor sentiment. However, past market returns are also an important determinant of sentiment. Although sentiment changes are strongly correlated with contemporaneous market returns, our tests show that sentiment has little predictive power for near- term future stock returns. Finally, our evidence does not support the conventional wisdom that sentiment primarily affects individual investors and small stocks.

Download or read book Essays on Investors Sentiment and Attention written by Daniele Ballinari and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Asset Management written by Stephen Satchell and published by Springer. This book was released on 2016-09-20 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a series of contributions on key issues in the decision-making behind the management of financial assets. It provides insight into topics such as quantitative and traditional portfolio construction, performance clustering and incentives in the UK pension fund industry, pension fund governance, indexation, and tracking errors. Markets covered include major European markets, equities, and emerging markets of South-East and Central Asia.

Download or read book Measuring Investor Sentiment written by Guofu Zhou and published by . This book was released on 2017 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: Investor sentiment indicates how far an asset value deviates from its economic fundamentals. In this paper, we review various measures of investor sentiment based on market, survey, and text and media data, respectively. There is ample evidence that sentiment can explain returns on stocks that are difficult to value and costly to arbitrage, such as unprofitable stocks, non-dividend-paying stocks, extreme growth stocks, and distressed stocks. However, much remains to be done. We discuss three issues for future research: to aggregate measures over various sources and various time horizons, to link investor sentiment to technical analysis, and to model statistically the evolution of investor sentiment.

Download or read book Trading on Sentiment written by Richard L. Peterson and published by John Wiley & Sons. This book was released on 2016-03-04 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Inefficient Markets written by Andrei Shleifer and published by OUP Oxford. This book was released on 2000-03-09 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: The efficient markets hypothesis has been the central proposition in finance for nearly thirty years. It states that securities prices in financial markets must equal fundamental values, either because all investors are rational or because arbitrage eliminates pricing anomalies. This book describes an alternative approach to the study of financial markets: behavioral finance. This approach starts with an observation that the assumptions of investor rationality and perfect arbitrage are overwhelmingly contradicted by both psychological and institutional evidence. In actual financial markets, less than fully rational investors trade against arbitrageurs whose resources are limited by risk aversion, short horizons, and agency problems. The book presents and empirically evaluates models of such inefficient markets. Behavioral finance models both explain the available financial data better than does the efficient markets hypothesis and generate new empirical predictions. These models can account for such anomalies as the superior performance of value stocks, the closed end fund puzzle, the high returns on stocks included in market indices, the persistence of stock price bubbles, and even the collapse of several well-known hedge funds in 1998. By summarizing and expanding the research in behavioral finance, the book builds a new theoretical and empirical foundation for the economic analysis of real-world markets.

Download or read book Market Response to Investor Sentiment written by Jördis Hengelbrock and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A New Principal Component Approach to Measure the Investor Sentiment written by Terence Tai-Leung Chong and published by . This book was released on 2015 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper develops a new market sentiment index for the Hong Kong stock market, one of the largest stock market in the world. The components of the sentiment measure include the turnover ratio, short-selling volume, money flow, HIBOR and return of the U.S. and Japanese markets. We also include the Shanghai and Shenzhen Composite index in our measure to capture the influence of Chinese markets on the Hong Kong market. A threshold regression model using the sentiment index as a threshold variable is estimated to capture the state of the Hong Kong stock market. It is also found that the trading rule which sells (buys) the HSI or S&P/HKEx LargeCapIndex when the sentiment index is above (below) the upper threshold value can beat the buy-and-hold strategy.

Download or read book Relative Investor Sentiment Measurement written by Xiang Gao and published by . This book was released on 2022 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper proposed a new metric to gauge investor sentiment using a relative valuation method. We combine investor behavioral traits and option-implied standard deviations under both the real-world probabaility valued most in the view of the uninformed investors and the risk-neutral space adopted when there exists no cognitive error. Given that investor sentiment can be thought of as risk taking by the uniformed exceeding their informed peers, we postulate that the differences between variance, skewness and kurtosis mesures for investors with various behavioral traits.We hence construct our investor sentiment proxy by summing these differentials of variance, skewness and kurtosis in weighted forms. It is documented that such relative investor sentiment metric exhibits economically and statistically strong return predictability for momentum porfolios. Our findings contribute to the extant literature by 1) complementing the Baker-Wurgler market-based investor sentiment index from a theoretical perspective 2) modelling investor sentiment via utilizing the informational content of options prices and 3) supporting the Barberis-Schleifer-Vishny definition of investor sentiment to be differences in financial market participant behavior.