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We hypothesize that when investors' attention to financial markets decreases, they rationally allocate relatively more attention to market-level information than to firm-specific information, leading to increases in stock return co-movements. Using large jackpot lotteries as exogenous shocks that attract investors' attention away from the stock market, we find supportive evidence that stock returns co-move more with the market on large jackpot days. This effect is stronger for stocks preferred by retail investors and is not driven by gambling sentiment. We also find that stock returns are less sensitive to earnings surprises and co-move more with industries on large jackpot days.
Motivated by psychological evidence that attention is a scarce cognitive resource, we model investors' attention allocation in learning and study the effects of this on asset-price dynamics. We show that limited investor attention leads to category-learning behavior, i.e., investors tend to process more market and sector-wide information than firm-specific information. This endogenous structure of information, when combined with investor overconfidence, generates important features observed in return comovement that are otherwise difficult to explain with standard rational expectations models. Our model also demonstrates new cross-sectional implications for return predictability.
This book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded. Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools. The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.
A definitive guide to the growing field of behavioral finance This reliable resource provides a comprehensive view of behavioral finance and its psychological foundations, as well as its applications to finance. Comprising contributed chapters written by distinguished authors from some of the most influential firms and universities in the world, Behavioral Finance provides a synthesis of the most essential elements of this discipline, including psychological concepts and behavioral biases, the behavioral aspects of asset pricing, asset allocation, and market prices, as well as investor behavior, corporate managerial behavior, and social influences. Uses a structured approach to put behavioral finance in perspective Relies on recent research findings to provide guidance through the maze of theories and concepts Discusses the impact of sub-optimal financial decisions on the efficiency of capital markets, personal wealth, and the performance of corporations Behavioral finance has quickly become part of mainstream finance. If you need to gain a better understanding of this topic, look no further than this book.
"Household Finance: An Introduction to Individual Financial Behavior is about how individuals make financial decisions, and how these financial decisions contribute to and detract from their well-being. What sort of decisions am I talking about? We all must manage our money, shifting our resources across time. Sometimes we need to consume more than is currently available to us. For example, people commonly borrow to purchase residential real estate, paying down their mortgage loans over time. At other times, we have excess funds that we can save and invest. The main reason to accumulate wealth is to amass a fund that we can draw down when older and less able and willing to earn labor income. It is crucial, then, that our savings be sufficient to ensure a comfortable retirement. It is not enough to save; our savings must be invested appropriately so as to properly counterbalance risk and return. One way is to buy low-cost mutual funds or exchange-traded funds where the job of diversification is done for us. Some of us, however, purchase not only investment funds but also individual securities that we ourselves select. If so, it is vital that we avoid preventable errors. And, along the way, since the world is unpredictable, it is appropriate to protect ourselves by insuring against the sort of catastrophic loss that can derail our best-laid financial plans"--
This accessible Handbook provides an essential entry point for those with an interest in the increasingly complex subject of financial decision making. It sheds light on new paradigms in society and the ways that new tools from private actors have affected financial decision making. Covering a broad range of key topics in the area, leading researchers summarize the state-of-the-art in their respective areas of expertise, delineating their projections for the future.
During the past decade, evidence of dissociation between conscious and nonconscious information processing has emerged from the study of normal subjects and brain damaged patients. The thirty-five original contributions in this book cover the latest work on this important topic. During the past decade, evidence of dissociation between conscious and nonconscious information processing has emerged from the study of normal subjects and brain damaged patients. The thirty-five original contributions in this book cover the latest work on this important topic across such traditional areas of research as vision, face recognition, spatial attention, control processes, semantic memory, episodic memory, and learning. Each section is introduced by an overview chapter that presents and evaluates the available empirical evidence in a given area and is followed by several experimental papers. The book opens with the Association Lecture, by George Mandler, "On Remembering without Really Trying: Hypermnesia, Incubation, and Mind Popping."
This timely volume addresses three important recent trends in the internationalization of United States equity markets: extensive market integration through foreign investment and links among stock prices around the world; increasing securitization as countries such as Japan come to rely more than ever before on markets in equities and bonds at the expense of banks; and the opening of national financial systems of newly industrializing countries to international financial flows and institutions, as governments remove capital controls and other barriers. Eight essays examine such issues as the current extent of international market integration, gains to U.S. investors through international diversification, home-country bias in investing, the role of time and location around the world in stock trading, and the behavior of country funds. Other, long-standing questions about equity markets are also addressed, including market efficiency and the accuracy of models of expected returns, with a particular focus on variances, covariances, and the price of risk according to the Capital Asset Pricing Model.