Download or read book News Sentiment Factor Models and Abnormal Stock Returns written by Svetlana Borovkova and published by . This book was released on 2015 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates how stock-specific and market-wide news sentiments, obtained from Thomson Reuters News Analytics, affect abnormal returns of S&P 500 stocks. It is well-known that the relationships between the stock-specific news sentiment and raw stock returns are rather weak. This can be explained by the fact that stock returns are driven predominantly by the market factor as well as some other well-known fundamental factors, and in a lesser extent by the idiosyncratic stock-specific information. Using factor models of Fama and French and of Carhart, we remove the influence of the fundamental factors from S&P500 stock returns. This allows us to investigate the relationships between the news sentiment and abnormal, i.e., idiosyncratic component of returns. We use both stock-specific and constructed market-wide sentiments for this purpose.We find that abnormal returns show a strong relationship with the news sentiment, which is consistent across sectors. Moreover, we find that the market-wide news sentiment significantly amplifies the effect of stock-specific news. Furthermore, we investigate separately the effect of news on various sectors, on small, medium and large stocks (in terms of size and book-to-market) and on less and more volatile stocks, and find that there are significant deviations on how abnormal returns react to positive and negative sentiment in news. Since the factor models are fundamentally tradable, our findings can be used to create profitable trading strategies.

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 News Beta written by Peter Hafez and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The stock market is affected by sentiment. The question is, however, how to quantify this effect on asset prices. By utilizing the unique RavenPack Sentiment Index, a news-based proxy for market sentiment, this paper intends to address this issue empirically by exploring the pricing implications of a stock's exposure to market sentiment. We also explore a concept we coined as "news beta" or the sensitivity of stock returns to changes in market sentiment as reported by the media. After controlling for traditional factors, news beta is found to have strong return predictability over 6 and 12 month horizons. The evidence from this research suggests that market sentiment data is still an untapped source of alpha in financial markets.

Download or read book The Handbook of News Analytics in Finance written by Gautam Mitra and published by John Wiley & Sons. This book was released on 2011-07-13 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of News Analytics in Finance is a landmarkpublication bringing together the latest models and applications ofNews Analytics for asset pricing, portfolio construction, tradingand risk control. The content of the Hand Book is organised to provide arapid yet comprehensive understanding of this topic. Chapter 1 setsout an overview of News Analytics (NA) with an explanation of thetechnology and applications. The rest of the chapters are presentedin four parts. Part 1 contains an explanation of methods and modelswhich are used to measure and quantify news sentiment. In Part 2the relationship between news events and discovery of abnormalreturns (the elusive alpha) is discussed in detail by the leadingresearchers and industry experts. The material in this part alsocovers potential application of NA to trading and fund management.Part 3 covers the use of quantified news for the purpose ofmonitoring, early diagnostics and risk control. Part 4 is entirelyindustry focused; it contains insights of experts from leadingtechnology (content) vendors. It also contains a discussion oftechnologies and finally a compact directory of content vendor andfinancial analytics companies in the marketplace of NA. Thebook draws equally upon the expertise of academics andpractitioners who have developed these models and is supported bytwo major content vendors - RavenPack and Thomson Reuters - leadingproviders of news analytics software and machine readablenews. The book will appeal to decision makers in the banking, finance andinsurance services industry. In particular: asset managers;quantitative fund managers; hedge fund managers; algorithmictraders; proprietary (program) trading desks; sell-side firms;brokerage houses; risk managers and research departments willbenefit from the unique insights into this new and pertinent areaof financial modelling.

Download or read book The Impact of Abnormal News Sentiment on Financial Markets written by Steve Y. Yang and published by . This book was released on 2015 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: News sentiment has been empirically observed to have impact on financial market. However, finding a clear predictor of market returns using news sentiment remains a challenging task. This study investigates the relationship between news sentiment and cumulative market returns and volatility. We propose two methods for measuring the abnormal level of news sentiment, i.e. sentiment shocks and sentiment trend, and we analyze its relationship with market movements. The results show that abnormal levels of news sentiment are significant in predicting future market cumulative return and implied volatility of the S&P 500 index. Comparing the two methods, we find that the sentiment trend method demonstrates better performance than the sentiment shock method. In addition, our findings suggest that the strategy generated based on the abnormal news sentiment methods outperforms the buy-and-hold strategy through back-testing over the same time period.

Download or read book The Econometrics of Financial Markets written by John Y. Campbell and published by Princeton University Press. This book was released on 2012-06-28 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.

Download or read book The Current State of Quantitative Equity Investing written by Ying L. Becker and published by CFA Institute Research Foundation. This book was released on 2018-05-10 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative equity management techniques are helping investors achieve more risk efficient and appropriate investment outcomes. Factor investing, vetted by decades of prior and current research, is growing quickly, particularly in in the form of smart-beta and ETF strategies. Dynamic factor-timing approaches, incorporating macroeconomic and investment conditions, are in the early stages but will likely thrive. A new generation of big data approaches are rendering quantitative equity analysis even more powerful and encompassing.

Download or read book Quantifying High frequency Market Reactions to Real time News Sentiment Announcements written by Axel Groß-Klußmann and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book News Versus Sentiment written by Steven L. Heston and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book News Sentiment and Stock Returns written by Jonathan Chassot and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Sentiment analysis has been a fast-growing field of study in recent years. Many works have been published on the subject and we have seen different techniques yield impressive results. Sentiment, however, is an abstract concept and there exists no consensus on how to measure it. RavenPack News Analytics (RPNA) is a news sentiment database which has been used in a couple of recent works. This paper focuses on the RavenPack News Analytics database and provides insights on the usefulness of its characteristics. We compare the Granger causality of different measures as well as that of different type of events. We find robust evidence of two less informative event groups, however, most of our results greatly vary based on the estimation set-up and we struggle to identify robust effects in general. The results of this study suggest that stock returns are oftentimes more influenced by sector sentiments than by their own sentiment.

Download or read book Finance for Normal People written by Meir Statman and published by Oxford University Press. This book was released on 2017 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finance for Normal People teaches behavioral finance to people like you and me - normal people, neither rational nor irrational. We are consumers, savers, investors, and managers - corporate managers, money managers, financial advisers, and all other financial professionals. The book guides us to know our wants-including hope for riches, protection from poverty, caring for family, sincere social responsibility and high social status. It teaches financial facts and human behavior, including making cognitive and emotional shortcuts and avoiding cognitive and emotional errors such as overconfidence, hindsight, exaggerated fear, and unrealistic hope. And it guides us to banish ignorance, gain knowledge, and increase the ratio of smart to foolish behavior on our way to what we want. These lessons of behavioral finance draw on what we know about us-normal people-including our wants, cognition, and emotions. And they draw on the roles of these factors in saving and spending, portfolio construction, returns we can expect from our investments, and whether we can hope to beat the market. Meir Statman, a founder of behavioral finance, draws on his extensive research and the research of many others to build a unified structure of behavioral finance. Its foundation blocks include normal behavior, behavioral portfolio theory, behavioral life-cycle theory, behavioral asset pricing theory, and behavioral market efficiency.

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 Engineering Applications of Neural Networks written by John Macintyre and published by Springer. This book was released on 2019-05-14 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop.

Download or read book Geopolitical Risk on Stock Returns Evidence from Inter Korea Geopolitics written by Seungho Jung and published by International Monetary Fund. This book was released on 2021-10-22 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: We investigate how corporate stock returns respond to geopolitical risk in the case of South Korea, which has experienced large and unpredictable geopolitical swings that originate from North Korea. To do so, a monthly index of geopolitical risk from North Korea (the GPRNK index) is constructed using automated keyword searches in South Korean media. The GPRNK index, designed to capture both upside and downside risk, corroborates that geopolitical risk sharply increases with the occurrence of nuclear tests, missile launches, or military confrontations, and decreases significantly around the times of summit meetings or multilateral talks. Using firm-level data, we find that heightened geopolitical risk reduces stock returns, and that the reductions in stock returns are greater especially for large firms, firms with a higher share of domestic investors, and for firms with a higher ratio of fixed assets to total assets. These results suggest that international portfolio diversification and investment irreversibility are important channels through which geopolitical risk affects stock returns.

Download or read book Stock Market Volatility written by Greg N. Gregoriou and published by CRC Press. This book was released on 2009-04-08 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis, Stock Market Volatility provides insight to better understand volatility in various stock markets. This timely volume is one of the first to draw on a range of international authorities who offer their expertise on market volatility in devel

Download or read book Efficiency and Anomalies in Stock Markets written by Wing-Keung Wong and published by Mdpi AG. This book was released on 2022-02-17 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.

Download or read book Capitalist Schools written by Daniel P. Liston and published by Psychology Press. This book was released on 1990 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 1991. Routledge is an imprint of Taylor & Francis, an informa company.