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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.
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.
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
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.
How have monetary policies matured during the last decade? The recent downturn in economies worldwide have put monetary policies in a new spotlight. In addition to their investigations of new tools, models, and assumptions, they look carefully at recent evidence on subjects as varied as price-setting, inflation persistence, the private sector's formation of inflation expectations, and the monetary policy transmission mechanism. They also reexamine standard presumptions about the rationality of asset markets and other fundamentals. Stopping short of advocating conclusions about the ideal conduct of policy, the authors focus instead on analytical methods and the changing interactions among the ingredients and properties that inform monetary models. The influences between economic performance and monetary policy regimes can be both grand and muted, and this volume clarifies the present state of this continually evolving relationship. Presents extensive coverage of monetary policy theories with an eye toward questions raised by the recent financial crisis Explores the policies and practices used in formulating and transmitting monetary policies Questions fiscal-monetary connnections and encourages new thinking about the business cycle itself Observes changes in the formulation of monetary policies over the last 25 years
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.
This compelling book examines the price-based revolution in investing, showing how research over recent decades has reinvented technical analysis. The authors discuss the major groups of price-based strategies, considering their theoretical motivation, individual and combined implementation, and back-tested results when applied to investment across country stock markets. Containing a comprehensive sample of performance data, taken from 24 major developed markets around the world and ranging over the last 25 years, the authors construct practical portfolios and display their performance—ensuring the book is not only academically rigorous, but practically applicable too. This is a highly useful volume that will be of relevance to researchers and students working in the field of price-based investing, as well as individual investors, fund pickers, market analysts, fund managers, pension fund consultants, hedge fund portfolio managers, endowment chief investment officers, futures traders, and family office investors.
This book focuses on selected aspects of the current and upcoming trends in transportation, logistics and decision making. In detail the included transportation management, optimization and management of logistics system, big data technology and method, financial engineering and risk management, investment decision and risk management, data-driven process management decision, scheduling optimization and combination decision, theory and method of forecasting and decision making, data mining and knowledge management, operation and green supply chain management, industrial engineering and operation management, information system and business intelligence, Internet + green manufacturing, strategic emerging industries and Industrial finance, big data and smart city. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of International Conference on Intelligent Transportation and Logistics with Big Data & International Forum on Decision Sciences, which took place in Harbin, Heilongjiang province, China, in 2022.