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 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.

Download or read book News and Investor Sentiment written by 許嫣茹 and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

Download or read book Support Vector Machines written by Naiyang Deng and published by CRC Press. This book was released on 2012-12-17 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)-classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which

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.

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 309 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 Numerisization of Investor Sentiment in News and Application to Stock Reactions written by Elisabeth Bommes and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Media Sentiment and International Asset Prices written by Samuel P. Fraiberger and published by International Monetary Fund. This book was released on 2018-12-10 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: We assess the impact of media sentiment on international equity prices using more than 4.5 million Reuters articles published across the globe between 1991 and 2015. News sentiment robustly predicts daily returns in both advanced and emerging markets, even after controlling for known determinants of stock prices. But not all news-sentiment is alike. A local (country-specific) increase in news optimism (pessimism) predicts a small and transitory increase (decrease) in local returns. By contrast, changes in global news sentiment have a larger impact on equity returns around the world, which does not reverse in the short run. We also find evidence that news sentiment affects mainly foreign – rather than local – investors: although local news optimism attracts international equity flows for a few days, global news optimism generates a permanent foreign equity inflow. Our results confirm the value of media content in capturing investor sentiment.

Download or read book Investor Sentiment Stock Returns and Analyst Recommendation Changes written by Karam Kim and published by . This book was released on 2019 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study examines the responses of investor sentiment and stock market returns to announcements of changes in analyst recommendation as well as the effect of these announcements on the relationship between sentiment and stock returns. Investor sentiment is more sensitive to upgrade announcements than to downgrade announcements, implying that news about upgrades reduces information asymmetry among investors. Furthermore, investor sentiment significantly affects the response of stock returns to downgrade announcements because investor sentiment is pessimistic before bad news is released, whereas we do not find a similar result for upgrade announcements.

Download or read book News Media and Investor Sentiment Over the Long Run written by Alan Hanna and published by . This book was released on 2017 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper studies the effect of investor sentiment on the London stock market on a daily basis over the period 1899 to 2010. We use a broad mix of reporting from the Financial Times as our proxy for investor sentiment. The main contribution of this paper is threefold. First, newspaper commentary, which was sentiment-laden, but information-light, in the Financial Times affects returns. Second, we find evidence that sentiment plays a role in propagating price movements, particularly during bull markets. Third, we find little evidence that the effect of sentiment on the market differs in bear versus bull markets.

Download or read book News Sentiment to Market Impact and Its Feedback Effect written by Sheung Yin Mo and published by . This book was released on 2015 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digitization of news articles and the advancement of computational intelligence applications have led to a growing influence of news sentiment over financial markets in recent years. News sentiment has often been used as a proxy for gauging investor's sentiment and reflecting the aggregate confidence of the society toward future market. Previous studies have primarily focused on elucidating the unidirectional impact of news sentiment on market returns and not vice versa. In this study, we document the presence of a significant feedback effect between news sentiment and market returns across the major indices in the U.S. financial market. We find that news sentiment exhibits a lag-4 effect on market returns and conversely market returns elicit consistent lag-1 and lag-2 effects on news sentiment. This aligns well with our intuition that news sentiment drives trading activity and investment decisions. In turn, heightened investment activity further stimulates involuntary responses, which manifest in the form of more news coverage and publications. The evidence presented highlights the strong correlation between news sentiment and market returns, and demonstrates the potential benefits of advancing knowledge in sentiment modeling and its interaction with market movement.

Download or read book Investor Sentiment in News and the Calendar Anomaly New Evidence from a Large Textual Data written by Katsuhiko Okada and published by . This book was released on 2014 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: The well-known stock market adage "sell in May and go away" arose from long-term stock market seasonality in major financial markets around the globe. Kamastra, Kramer and Levy (2003) present evidence that Seasonal Affective Disorder causes this seasonality, as this condition has a profound effect on people's mood and makes people increasingly risk averse as daylight diminishes with the onset of winter. In this paper, we present evidence that change in market mood is reflected in the prospect statement in the news text. We employ a text-mining technique to analyze a large quantity of newspaper articles for the period 1986-2010 and created our market mood proxy. We find investor psychology is skewed to optimism in the first half of the calendar year and pessimism in the latter. We also find that semi-annual mood fluctuation is synchronous with market seasonality.

Download or read book Trading Against the Crowd written by John F. Summa and published by John Wiley & Sons. This book was released on 2004-10-27 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efficient market theorists contend that markets are random and thus not predictable. With the publication of Trading Against theCrowd, however, noted author, economist, and professional trader John Summa convincingly shows that investor sentiment can be incorporated into profitable stock and stock market trading systems. In this groundbreaking book, Summa explains how to use popular gauges of crowd psychology, such as put/call ratios, option-implied volatility, short sales, investor surveys, and advisory opinion to trade against, or contrary to, prevailing market sentiment. He also makes compelling arguments against the efficient markets hypothesis with the presentation of his own quantitative weekly bear and bull news-flow intensity indices, which he builds from news scans. This data series, and other popular measures of crowd psychology, are processed through custom indicators that are programmed into profitable trading systems, such as Squeeze Play I & II, Tsunami Sentiment Wave, and the Fourth Estate. Trading Against the Crowd is the first book to provide a comprehensive assessment of investor crowd psychology, offering valuable market timing tools and trading techniques, including: MetaStock and Trade Station system and custom indicator code; comparative statistical studies of CBOE, OEX, and equity-only put/call ratios; straightforward instructions for combining price triggers with sentiment indicators; a practical guide to understanding put/call ratios, short sales, investor surveys, newsletter opinion, and stock market news-flow intensity; how to use LEAP options as trading vehicles to avoid use of stop loss orders; use of put/call ratios for trading the Treasury bond futures market; and test results and evaluation of trading system performance. Many of today’s professional money managers rely on investor sentiment for improved market timing. They know that at extremes of market sentiment, markets tend to be the most predictable.Trading Against the Crowd shows how you can begin to profit from these short- to medium-term sentiment waves generated by the actions of the speculative crowd. Put into practice powerful sentiment data using thoroughly back-tested trading systems, and rise above the herd mentality of the investor crowd, where potentially large profits await.

Download or read book Modern Equity Investing Strategies written by Anatoly B Schmidt and published by World Scientific Publishing Company. This book was released on 2021 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will satisfy the demand among college majors in Finance and Financial Engineering, and mathematically-versed practitioners for description of both the classical approaches to equity investing and new investment strategies scattered in the periodic literature. Besides the major portfolio management theories (mean variance theory, CAPM, and APT), the book addresses several important topics: portfolio diversification, optimal ESG portfolios, factor models (smart betas), robust portfolio optimization, risk-based asset allocation, statistical arbitrage, alternative data based investing, back-testing of trading strategies, modern market microstructure, algorithmic trading, and agent-based modeling of financial markets. The book also includes the basic elements of time series analysis in the Appendix for self-contained presentation of the material. While the book covers technical concepts and models, it will not overburden the reader with math beyond the Finance undergraduates' curriculum.

Download or read book Media Sentiment and International Asset Prices written by Samuel P. Fraiberger and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Coronavirus News Markets and AI written by Pankaj Sharma and published by Taylor & Francis. This book was released on 2020-12-27 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Coronavirus News, Markets and AI explores the analysis of unstructured data from coronavirus-related news and the underlying sentiment during its real-time impact on the world and on global financial markets, in particular. In an age where information - both real and fake - travels in the blink of an eye and significantly alters market sentiment daily, this book is a blow by blow account of economic impact of the COVID-19 pandemic. The volume: Details how AI driven machines capture, analyse and score relevant on-ground news sentiment to analyse the dynamics of market sentiment, how markets react to good or bad news across ‘short term’ and ‘long term’; Investigates what have been the most prevalent news sentiment during the pandemic, and its linkages to crude oil prices, high profile cases, impact of local news, and even the impact of Trump’s policies; Discusses the impact on what people think and discuss, how the COVID-19 crisis differs from the Global Financial Crisis of 2008, the unprecedented disruptions in supply chains and our daily lives; Showcases how easy accessibility to big data methods, cloud computing, and computational methods and the universal applicability of these tool to any topic can help analyse extract the related news sentiment in allied fields. Accessible, nuanced and insightful, this book will be invaluable for business professionals, bankers, media professionals, traders, investors, and investment consultants. It will also be of great interest to scholars and researchers of economics, commerce, science and technology studies, computer science, media and culture studies, public policy and digital humanities.