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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.
This book will serve as a practical guide for entrepreneurs and investors/advisors in constructing and understanding valuations of startups in rapidly shifting industries, including the areas of drug development, medical devices, cyber security, and renewable energy. For large companies, valuation is based on forecasts of free cash flow; in technologically-driven industries, product pipelines can represent a large part of market capitalization. The situation is even more critical for small companies committed to a single idea: all of their value is linked to a single project. Any business transaction or internal proposal to begin or terminate an R&D project in which innovative projects are being valued or exchanged requires a realistic valuation of those projects. Moreover, different projects have very different dynamics. Pharmaceuticals have very large lead times and are dependent on patents as well as out-licensing agreements. In contrast, software develops very quickly, and IP is hard to value. This book will be a guide to building appropriate valuations for companies competing in rapidly shifting industries and offering products under new business models where little precedent exists, taking both financial and behavioral issues into consideration.
This book presents selected papers on the factors that serve to influence an individual’s capacity in financial decision-making. Initial chapters provide an overview of the cognitive factors affecting financial decisions and suggest a link between limited cognitive capacity and the need for financial education. The book then expands on these cognitive limitations to explore the tendency for overconfidence in decision-making and the interplay between rational and irrational factors. Later contributions show how credit card companies benefit from limitations in consumer financial literacy, how gender and cognition intersect to play an important role in financial decision-making, and how to improve financial capacity through financial literacy and education campaigns, including those addressing developed marketplaces. This comprehensive collection of papers will be of value to all readers who seek to better understand the multi-factorial and complex nature of personal financial management in today’s economic climate.
Handbook of Behavioral Economics, Volume 2, Foundations and Applications offers critical perspectives on theoretical work within behavioral economics, delivering a comprehensive, critical, up-to-date, and accessible review of the field that has always been missing. This literature summary of the conceptual foundations underlying behavioral economics is written by, and for, economists, with chapters covering Intertemporal choice, Reference-dependent preferences, Beliefs, Cognition, Social preferences, Behavioral game theory, Welfare, and Neuroeconomics. Helps academic and non-academic economists understand recent rapid changes in theoretical advances within behavioral economics Designed for economists already convinced of the benefits of behavioral economics and mainstream economists who feel threatened by new developments in behavioral economics Written for those who wish to become quickly acquainted with behavioral economics
Christian Funke aims at developing a better understanding of a central asset pricing issue: the stock price discovery process in capital markets. Using U.S. capital market data, he investigates the importance of mergers and acquisitions (M&A) for stock prices and examines economic links between customer and supplier firms. The empirical investigations document return predictability and show that capital markets are not perfectly efficient.
The focus of the global economy has increasingly shifted toward China and emerging countries. However, despite their high growth prospects, emerging economies often lack the sound capital market and corporate governance systems necessary to promote the efficient allocation of financial resources to maintain the confidence of capital providers. As China becomes more prominent economically, the development of its capital market becomes an increasingly important issue. This book presents some of the latest academic research on China's capital markets, demonstrating some of the major issues currently being faced. Preeminent researchers in the field examine key topics such as the performance of commercial banks, dividends and ownership, financial constraints and firm performance, the role of political networks, stock price decomposition, stock return predictability, and the role of media coverage. In this book, the authors use the country's institutional background to offer useful insight into policy implications for the development of China as well as other emerging economies.
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.
Intangible assets such as knowledge or brands are increasingly important to companies. Such assets are essentially needed to develop new innovative products and to introduce them to the market. Philipp Sandner is one of the first researchers to approach the valuation of both technology- and market-based intangibles simultaneously by relying on portfolios of intellectual property (IP) derived from patents and trademarks.
The models of portfolio selection and asset price dynamics in this volume seek to explain the market dynamics of asset prices. Presenting a range of analytical, empirical, and numerical techniques as well as several different modeling approaches, the authors depict the state of debate on the market selection hypothesis. By explicitly assuming the heterogeneity of investors, they present models that are descriptive and normative as well, making the volume useful for both finance theorists and financial practitioners. Explains the market dynamics of asset prices, offering insights about asset management approaches Assumes a heterogeneity of investors that yields descriptive and normative models of portfolio selections and asset pricing dynamics