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 Sentiments and Asset Markets written by Haritima Chauhan and published by . This book was released on 2018 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability of sentiments to impact macroeconomic activity and financial markets is unequivocally recognized. Economists and policymakers alike, agree that the extended periods of pessimistic sentiments impeded the economic recovery after the Great Recession. Despite this knowledge, there is still much more to know about the mechanisms by which these unpredictable changes in confidence perpetuate in economic and financial systems. It is also imperative to learn how to measure the exogenous shifts in the market sentiments and the sensitivity of asset prices and macroeconomic variables to them. This dissertation examines the sentiments in two ways. Using social network data, this work presents methods to identify sentiments of influential investors and highlight the effects of the stated opinions on the broader stock market and on individual securities. This paper concludes that these high-frequency sentiments influence prices and there are incremental benefits of recognizing investor heterogeneity in such analyses. The other research presents a production economy asset pricing model and elaborates on the interplay of macroeconomic and asset market observations with the changes in consumer preferences. The results reveal significant and persistent risks to the changes in market sentiments and simultaneously explain major moments of economic and financial series.

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 295 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 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 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 Behavioral Finance and Asset Prices written by David Bourghelle and published by Springer Nature. This book was released on 2023-04-05 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent decades, the financial markets have experienced various crises, shocks and disruptive events, driving high levels of volatility. This volatility is too strong to be fully justified simply by changes in fundamentals. This volume discusses these highly relevant issues with special focus on asset pricing and behavioral finance. Financial price assets of the 2020s appear to be driven by various attractors in addition to fundamentals, and there is no doubt that investor emotions, market sentiment, the news, and external factors such as uncertainty all play a key role. This has been clearly observed in recent years, especially during the ongoing coronavirus pandemic that has changed the common perception of the way financial markets work.

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 Effect in European Stock Markets written by Elena Ferrer and published by Ed. Universidad de Cantabria. This book was released on 2017-04-26 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: La presente obra se adentra en el estudio del potencial efecto del sentimiento del inversor sobre la valoración de activos, su efecto en los pronósticos de beneficios y recomendaciones de los analistas y su impacto sobre los activos derivados. Abarca el efecto del sentimiento del inversor en cuatro de los mercados europeos más importantes, Alemania, España, Francia y Reino Unido, mercados con características diferentes, en cuanto a tamaño, tipología del inversor y funcionamiento, lo que permite extraer importantes conclusiones adicionales.

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 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 MarketPsych written by Richard L. Peterson and published by John Wiley & Sons. This book was released on 2010-07-30 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: An investor's guide to understanding the most elusive (yet most important) aspect of successful investing - yourself. Why is it that the investing performance of so many smart people reliably and predictably falls short? The answer is not that they know too little about the markets. In fact, they know too little about themselves. Combining the latest findings from the academic fields of behavioral finance and experimental psychology with the down-and-dirty real-world wisdom of successful investors, Drs. Richard Peterson and Frank Murtha guide both new and experienced investors through the psychological learning process necessary to achieve their financial goals. In an easy and entertaining style that masks the book’s scientific rigor, the authors make complex scientific insights readily understandable and actionable, shattering a number of investing myths along the way. You will gain understanding of your true investing motivations, learn to avoid the unseen forces that subvert your performance, and build your investor identity - the foundation for long-lasting investing success. Replete with humorous games, insightful self-assessments, entertaining exercises, and concrete planning tools, this book goes beyond mere education. MarketPsych: How to Manage Fear and Build Your Investor Identity functions as a psychological outfitter for your unique investing journey, providing the tools, training and equipment to help you navigate the right paths, stay on them, and see your journey through to success.

Download or read book Reforming U S Financial Markets written by Randall S. Kroszner and published by MIT Press. This book was released on 2013-02-08 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two top economists outline distinctive approaches to post-crisis financial reform. Over the last few years, the financial sector has experienced its worst crisis since the 1930s. The collapse of major firms, the decline in asset values, the interruption of credit flows, the loss of confidence in firms and credit market instruments, the intervention by governments and central banks: all were extraordinary in scale and scope. In this book, leading economists Randall Kroszner and Robert Shiller discuss what the United States should do to prevent another such financial meltdown. Their discussion goes beyond the nuts and bolts of legislative and regulatory fixes to consider fundamental changes in our financial arrangements. Kroszner and Shiller offer two distinctive approaches to financial reform, with Kroszner providing a systematic analysis of regulatory gaps and Shiller addressing the broader concerns of democratizing and humanizing finance. After brief discussions by four commentators (Benjamin M. Friedman, George G. Kaufman, Robert C. Pozen, and Hal S. Scott), Kroszner and Shiller each offer a response to the other's proposals, creating a fruitful dialogue between two major figures in the field.

Download or read book Bayesian Econometrics written by Mauro Bernardi and published by MDPI. This book was released on 2020-12-28 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data, models, parameters and parameter restriction uncertainties, in a unified and coherent framework. This book contributes to this literature by collecting a set of carefully evaluated contributions that are grouped amongst two topics in financial economics. The first three papers refer to macro-finance issues for real economy, including the elasticity of factor substitution (ES) in the Cobb–Douglas production function, the effects of government public spending components, and quantitative easing, monetary policy and economics. The last three contributions focus on cryptocurrency and stock market predictability. All arguments are central ingredients in the current economic discussion and their importance has only been further emphasized by the COVID-19 crisis.

Download or read book Strategic Asset Allocation written by John Y. Campbell and published by OUP Oxford. This book was released on 2002-01-03 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academic finance has had a remarkable impact on many financial services. Yet long-term investors have received curiously little guidance from academic financial economists. Mean-variance analysis, developed almost fifty years ago, has provided a basic paradigm for portfolio choice. This approach usefully emphasizes the ability of diversification to reduce risk, but it ignores several critically important factors. Most notably, the analysis is static; it assumes that investors care only about risks to wealth one period ahead. However, many investors—-both individuals and institutions such as charitable foundations or universities—-seek to finance a stream of consumption over a long lifetime. In addition, mean-variance analysis treats financial wealth in isolation from income. Long-term investors typically receive a stream of income and use it, along with financial wealth, to support their consumption. At the theoretical level, it is well understood that the solution to a long-term portfolio choice problem can be very different from the solution to a short-term problem. Long-term investors care about intertemporal shocks to investment opportunities and labor income as well as shocks to wealth itself, and they may use financial assets to hedge their intertemporal risks. This should be important in practice because there is a great deal of empirical evidence that investment opportunities—-both interest rates and risk premia on bonds and stocks—-vary through time. Yet this insight has had little influence on investment practice because it is hard to solve for optimal portfolios in intertemporal models. This book seeks to develop the intertemporal approach into an empirical paradigm that can compete with the standard mean-variance analysis. The book shows that long-term inflation-indexed bonds are the riskless asset for long-term investors, it explains the conditions under which stocks are safer assets for long-term than for short-term investors, and it shows how labor income influences portfolio choice. These results shed new light on the rules of thumb used by financial planners. The book explains recent advances in both analytical and numerical methods, and shows how they can be used to understand the portfolio choice problems of long-term investors.

Download or read book Sentiments Financial Markets and Macroeconomic Fluctuations written by Jess Benhabib and published by . This book was released on 2015 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper studies how financial information frictions can generate sentiment-driven fluctuations in asset prices and self-fulfilling business cycles. In our model economy, exuberant financial market sentiments of high output and high demand for capital increase the price of capital, which signals strong fundamentals of the economy to the real side and consequently leads to an actual boom in real output and employment. The model further derives implications for asymmetric non-linear asset prices and for economic contagion and co-movement across countries. In the extension to the dynamic OLG setting, our model demonstrates that sentiment shocks can generate persistent output, employment and business cycle fluctuations, and offers some new implications for asset prices over business cycles.

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 Economic News Sentiment and Behavior written by Juliane A. Lischka and published by Springer. This book was released on 2015-11-04 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the relations between objective, media-related, and social attitudinal as well as behavioral realities of private, expert, and corporate agents in the traditions of mass communication, journalism studies and behavioral economics. Results based on time series analyses for German data show that the news reports in a volatile manner on the economy and may influence its development through third-person effects. Bad economic news does not cause a decrease in private purchase intentions. Bad news may lead to a change in corporate decisions, such as advertising expenditures, because corporate decision makers may presume changes in consumer behavior through news.