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Effect Of Investor Sentiment On The Stock Market Reaction To Earnings News
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Book Synopsis Effect of Investor Sentiment on the Stock Market Reaction to Earnings News by : David Folsom
Download or read book Effect of Investor Sentiment on the Stock Market Reaction to Earnings News written by David Folsom and published by . This book was released on 2015 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this study, we examine the effect of investor sentiment on the stock market reaction to earnings news (i.e., the earnings response coefficient or ERC) for loss firms. We find that the ERC for loss firms' earnings increases is less positive as sentiment increases, contrary to the findings in prior literature examining how sentiment affects the ERC for profit firms. Cross-sectional analysis reveals that the dampened ERC associated with earnings increases in loss firms during high sentiment periods is driven by various firm characteristics including low book values of equity, low R&D intensity, the inability to raise external capital, and a lack of nonrecurring write-offs. We also examine future returns and find that, on average, the effect of sentiment on loss firms' earnings changes reverses in the second year following an earnings announcement.
Book Synopsis Investor Sentiment and Stock Market Response to Corporate News by : Srinivasan Sankaraguruswamy
Download or read book Investor Sentiment and Stock Market Response to Corporate News written by Srinivasan Sankaraguruswamy and published by . This book was released on 2008 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine whether market-wide investor sentiment influences the stock price response to firm-specific news. We use the recently developed measure of investor sentiment by Baker and Wurgler (2006, 2007) and focus on the stock price response to earnings announcements. Our results indicate that the prevailing sentiment sways stock price response to news in the direction of the sentiment - the positive stock price response to good news increases with sentiment, whereas the negative stock price response to bad news decreases with sentiment. The influence of sentiment on the stock price response is especially pronounced for small stocks, young stocks, volatile stocks, non-dividend paying stocks and distressed stocks. We find that sentiment also impacts the stock price response to dividend changes and stock split announcements.
Book Synopsis Beyond Market Mood by : Nikolaos Karampatsas
Download or read book Beyond Market Mood written by Nikolaos Karampatsas and published by . This book was released on 2018 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using a unique database this study establishes a relationship between firm-specific investor sentiment and stock price movements around earnings announcements. We find that firm-specific investor sentiment is a key determinant of price adjustment in the context of an earnings surprise. Unsurprisingly, the effect of firm-specific investor sentiment dominates the effect of market-wide sentiment. We also provide evidence that the effect of firm-specific investor sentiment is more pronounced for stocks that are hard to value and difficult to arbitrage and stock price reactions are most marked for stocks with negative earnings announcements. Further we find evidence of mispricing and return reversals over the days following an earnings surprise.
Book Synopsis The Timing Effect of Earnings Reports and the Stock Market Reaction to Late-reporting Firms by : Yann-ching Tsai
Download or read book The Timing Effect of Earnings Reports and the Stock Market Reaction to Late-reporting Firms written by Yann-ching Tsai and published by . This book was released on 1989 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Trading on Sentiment by : Richard L. Peterson
Download or read book Trading on Sentiment written by Richard L. Peterson and published by John Wiley & Sons. This book was released on 2016-03-21 with total page 374 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.
Book Synopsis Investor Sentiment, Post-Earnings Announcement Drift, and Accruals by : Joshua Livnat
Download or read book Investor Sentiment, Post-Earnings Announcement Drift, and Accruals written by Joshua Livnat and published by . This book was released on 2009 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is growing evidence in the finance literature that investor sentiment affects stock prices. We examine whether stock price reactions to earnings surprises and accruals vary systematically with the level of investor sentiment. Using quarterly drift tests and monthly trading strategy (calendar time) tests, we find evidence that holding extreme good news firms following pessimistic sentiment periods earns significantly higher abnormal returns than holding extreme good news firms following optimistic sentiment periods. Similarly, our results suggest that holding low accrual firms following pessimistic sentiment periods earns significantly higher abnormal returns than holding low accrual firms following optimistic sentiment periods. We also document that abnormal returns in the short-window around preliminary earnings announcements for extreme good news firms are significantly higher during periods of low sentiment than during periods of high sentiment. Overall, our results indicate that investor sentiment influences the source of excess returns from earnings-based trading strategies.
Book Synopsis Retail Investor Sentiment and Behavior by : Matthias Burghardt
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.
Book Synopsis Stock Price Reaction to Quarterly Earnings Announcements with respect of outlook changes and deviation to consensus forecast by : Benjamin Schmitt
Download or read book Stock Price Reaction to Quarterly Earnings Announcements with respect of outlook changes and deviation to consensus forecast written by Benjamin Schmitt and published by GRIN Verlag. This book was released on 2015-06-02 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bachelor Thesis from the year 2008 in the subject Business economics - Investment and Finance, grade: 1.1, EBS European Business School gGmbH (Finance), language: English, abstract: Many authors have already studied about stock price reactions after earnings announcements yet, which is because of the importance of earnings announcements, in particular quarterly earnings announcements, for many investors. However, all major studies concerning this topic deal with long-term scenarios, the stock’s price performance is measured for a time period of at least three quarters. Due to the fact that there are many investors, especially institutional investors such as hedge funds that trade stocks much more frequently, the existing studies are not relevant for them. This paper studies stock price reactions around quarterly earnings announcements for companies listed in Deutscher Aktienindex (DAX) or Midcap DAX (MDAX) with respect to changes of the company’s full-year outlook and of earnings surprise regarding analyst consensus forecast within ten days before and after the announcement date. Hence, this paper aims to analyse short-term reaction to quarterly earnings announcements, which are of relevance for all investors, whose investment strategy is, at least partially, focussing on the short-term performance. The main target group of this analysis are therefore hedge funds and investors that run short-term strategies. Due to the fact that the widespread Event Study Methodology is focused on the long-term, it is irrelevant for this analysis.
Download or read book Total Attention written by Linda H. Chen and published by . This book was released on 2018 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: We show evidence that consistent with category-learning behavior, investors allocate more attention to macroeconomic news than to firm-specific news, such as earnings announcements. Despite the distracting effect of macroeconomic news on investor attention, we find that earnings announcements with concurrent macroeconomic news announcements actually have significantly stronger immediate market response and weaker post-earnings announcement drift. We hypothesize that the combined total attention to macroeconomic news and earnings announcements helps investors understand both the systematic and firm-specific components of earnings surprises. Consistent with the hypothesis, our results show that the macroeconomic news effect is mainly driven by firms with high exposure to macroeconomic news. Moreover, we show that the effect is stronger when macroeconomic news contains more information and for firms with greater information uncertainty. Finally, we provide evidence that macroeconomic news helps reduce stock return uncertainty and enhance stock price efficiency.
Book Synopsis The Handbook of Equity Market Anomalies by : Leonard Zacks
Download or read book The Handbook of Equity Market Anomalies written by Leonard Zacks and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Investment pioneer Len Zacks presents the latest academic research on how to beat the market using equity anomalies The Handbook of Equity Market Anomalies organizes and summarizes research carried out by hundreds of finance and accounting professors over the last twenty years to identify and measure equity market inefficiencies and provides self-directed individual investors with a framework for incorporating the results of this research into their own investment processes. Edited by Len Zacks, CEO of Zacks Investment Research, and written by leading professors who have performed groundbreaking research on specific anomalies, this book succinctly summarizes the most important anomalies that savvy investors have used for decades to beat the market. Some of the anomalies addressed include the accrual anomaly, net stock anomalies, fundamental anomalies, estimate revisions, changes in and levels of broker recommendations, earnings-per-share surprises, insider trading, price momentum and technical analysis, value and size anomalies, and several seasonal anomalies. This reliable resource also provides insights on how to best use the various anomalies in both market neutral and in long investor portfolios. A treasure trove of investment research and wisdom, the book will save you literally thousands of hours by distilling the essence of twenty years of academic research into eleven clear chapters and providing the framework and conviction to develop market-beating strategies. Strips the academic jargon from the research and highlights the actual returns generated by the anomalies, and documented in the academic literature Provides a theoretical framework within which to understand the concepts of risk adjusted returns and market inefficiencies Anomalies are selected by Len Zacks, a pioneer in the field of investing As the founder of Zacks Investment Research, Len Zacks pioneered the concept of the earnings-per-share surprise in 1982 and developed the Zacks Rank, one of the first anomaly-based stock selection tools. Today, his firm manages U.S. equities for individual and institutional investors and provides investment software and investment data to all types of investors. Now, with his new book, he shows you what it takes to build a quant process to outperform an index based on academically documented market inefficiencies and anomalies.
Book Synopsis Value Relevance of Accounting Information in Capital Markets by : Ojo, Marianne
Download or read book Value Relevance of Accounting Information in Capital Markets written by Ojo, Marianne and published by IGI Global. This book was released on 2016-12-12 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Among banking industries and insurance and security sectors, systemic risk and information uncertainty can generate negative consequences. By developing solutions to address such issues, financial regulation initiatives can be optimized. Value Relevance of Accounting Information in Capital Markets is an essential reference source for the latest scholarly research on the importance of information asymmetries and uncertainties and their effects on the overall regulation of financial industries. Featuring extensive coverage on a wide range of perspectives, such as financial reporting standards, investor confidence, and capital flows, this publication is ideally designed for professionals, accountants, and academics seeking current research on the effects of the underlying elements in investing.
Book Synopsis When Firms Talk, Do Investors Listen? The Role of Trust in Stock Market Reactions to Corporate Earnings Announcements by : Mikhail Pevzner
Download or read book When Firms Talk, Do Investors Listen? The Role of Trust in Stock Market Reactions to Corporate Earnings Announcements written by Mikhail Pevzner and published by . This book was released on 2015 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine whether the level of trust in a country affects investors' perception and utilization of information transmitted by firms through financial disclosure. Specifically, we investigate the effect of societal trust on investor reactions to corporate earnings announcements. We test two competing hypotheses: on the one hand, corporate earnings announcements are perceived as more credible by investors in more trusting societies and therefore elicit stronger investor reactions; on the other hand, societal trust mitigates outside investors' concern of moral hazard and reduces the value of corporate earnings announcements to them, thereby weakening their reactions to these events. We analyze the abnormal trading volume and abnormal stock return variance during the earnings announcement period in a large sample of firm-year observations across 25 countries, and find that both measures of investor reactions to earnings announcements are significantly higher in more trusting countries. We also find that the positive effect of societal trust on investor reactions to earnings news is more pronounced (1) when a country's investor protection and disclosure requirements are weaker, suggesting that trust acts as a substitute for formal institutions, (2) when a country's average education level is lower, consistent with less educated people relying more on trust in making economic decisions, and (3) when firm level information asymmetry is higher, supporting the notion that trust plays a more important role in poorer information environments.
Book Synopsis Data Science for Economics and Finance by : Sergio Consoli
Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Book Synopsis The Real Effects of Investor Sentiment by : Christopher Polk
Download or read book The Real Effects of Investor Sentiment written by Christopher Polk and published by . This book was released on 2003 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: We study how stock market mispricing might influence individual firms' investment decisions. We find a positive relation between investment and a number of proxies for mispricing, controlling for investment opportunities and financial slack, suggesting that overpriced (underpriced) firms tend to overinvest (underinvest). Consistent with the predictions of our model, we find that investment is more sensitive to our mispricing proxies for firms with higher R & D intensity suggesting longer periods of information asymmetry and thus mispricing) or share turnover (suggesting that the firms' shareholders are short-term investors). We also find that firms with relatively high (low) investment subsequently have relatively low (high) stock returns, after controlling for investment opportunities and other characteristics linked to return predictability. These patterns are stronger for firms with higher R & D intensity or higher share turnover.
Book Synopsis The Asymmetric Effect of Sentiment on Equity Returns by : Mishal Ahmed
Download or read book The Asymmetric Effect of Sentiment on Equity Returns written by Mishal Ahmed and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the first chapter titled "The Asymmetric Effect of Sentiment on U.S. Equity Returns", we test the asymmetric impact of investor sentiment, proxied by the Baker-Wurgler (2007) investor sentiment index, on expected stock returns in the U.S. We regress sentiment on market and economy-wide fundamentals, use the residuals as a measure of excess sentiment and estimate long-horizon return regressions using positive and negative components of excess sentiment as predictors. We hypothesize that excessive optimism leads investors to make significant portfolio changes whereas excessive pessimism makes investors more cautious about investing, due to loss aversion. Primary results confirm our hypothesis with a significant positive sentiment coefficient and an insignificant negative sentiment coefficient. Our results hold for an alternative investor sentiment measure, multiple stock market indexes and stock portfolios based on book-to-market ratio, size, operational efficiency, and level of investment. Long-horizon regressions are plagued by two econometric problems: overlapping observations and persistent predictors. We correct for these issues by providing Hodrick (1992) standard errors. In the second chapter titled "The Asymmetric Effect of Sentiment on Global Equity Returns", we test if excess investor sentiment has an asymmetric impact on expected stock returns in thirteen industrialized countries, using long-horizon regression. We regress consumer confidence, a proxy for investor sentiment, on economic indicators and use residuals as a measure of excess sentiment for each country. We regress expected stock returns on positive and negative components of excess sentiment for 6,12,24 and 36 months horizon and correct for econometric problems associated with long-horizon regression by providing Hodrick (1992) standard errors. We find evidence of a statistically significant difference in the effect of bullish and bearish sentiment on stock returns for most countries in the sample. Primary results hold for portfolios based on book-to-market ratio, earnings-price ratio, and dividend yield. In the third chapter titled "Do Economic Surprises Affect Stock Returns? The Role of Sentiment", we test whether the effect of macroeconomic surprises on stock returns is impacted by investor sentiment, proxied by the Federal Reserve Bank of San Francisco’s daily sentiment index. We employ an event study methodology with separate regressions for six real economic indicators: GDP, industrial production, unemployment, retail sales, durable goods, and continuing jobless claims. We regress the daily stock returns for release dates of macroeconomic indicators on macroeconomic surprises. We test if positive and negative sentiment affects the portfolio choices of investors in response to unexpected macroeconomic news. We find consistent results with significant coefficients for pessimistic investors, as they make portfolio changes in response to news, and insignificant coefficients for optimistic investors, as they ignore news about real economic activity. We conclude that loss averse investors take a cautious approach to investing when they are bearish about overall stock market, unlike when they are bullish about stock market. Primary results hold for multiple stock market indexes, different stock portfolios and an alternative categorization of investor sentiment as low, high, and medium sentiment.
Book Synopsis Post-Earnings Announcement Drift by : Tomas Tomcany
Download or read book Post-Earnings Announcement Drift written by Tomas Tomcany and published by LAP Lambert Academic Publishing. This book was released on 2010-11 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is a well documented finding in finance theory that share prices drift in the direction of firms' unexpected earnings changes, a phenomenom known as post-earnings announcement drift, or earnings momentum. In this book, I study the stock prices' reaction to firms' quarterly earnings announcements. The book shows that the timeframe in which the drift occurs is related to the size of a firm and is limited in time after the earnings announcement. I further analyze the effect of the number of analysts covering a firm on the magnitude and persistance of post-earnings announcement drift. I document that recent analyst coverage predicts large drifts after the earnings announcements. I suggest several possible explanations, but the evidence seems most consistent with recent analyst coverage providing information about investor (or analyst) expectations regarding firm's future earnings. This book should be useful to professionals in Financial Economics, especially to those interested in Behavioral Finance in stock markets, but also to equity analysts, traders or investors interested in the stocks' response to earnings news.
Book Synopsis Investor Inattention and the Post-earnings Announcement Drift - Evidence from Switzerland by : Sarah Suter
Download or read book Investor Inattention and the Post-earnings Announcement Drift - Evidence from Switzerland written by Sarah Suter and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Earlier studies on earnings numbers have discovered a market anomaly which could not be explained by flaws in the applied research design. They claim that stock prices do not incor-porate earnings news immediately, as suggested by the efficient market theory, but tend to drift into the direction of the unexpected earnings after an earnings announcement. In addi-tion, this effect seems to be stronger if investors are distracted by competing announcements at the announcement date. Based on Swiss earnings and stock price data, this paper analyses whether unexpected earnings are followed by cumulative abnormal stock returns. I find post-earnings announcement drift that increases with the magnitude of the earnings surprise. By comparing immediate and delayed market reaction and post-earnings announcement drift on high-news and low-news days, this study examines the effect of investor inattention on post-earnings announcement drift. The findings are consistent with lower immediate market re-sponse and stronger drift when investors are distracted.
