Do traders in futures markets make use of all relevant information and is this reflected in prices? This collection of original essays by a team of international economists considers these and other questions central to futures markets.

The Efficient Market Hypothesis (EMH) asserts that, at all times, the price of a security reflects all available information about its fundamental value. The implication of the EMH for investors is that, to the extent that speculative trading is costly, speculation must be a loser's game. Hence, under the EMH, a passive strategy is bound eventually to beat a strategy that uses active management, where active management is characterized as trading that seeks to exploit mispriced assets relative to a risk-adjusted benchmark. The EMH has been refined over the past several decades to reflect the realism of the marketplace, including costly information, transactions costs, financing, agency costs, and other real-world frictions. The most recent expressions of the EMH thus allow a role for arbitrageurs in the market who may profit from their comparative advantages. These advantages may include specialized knowledge, lower trading costs, low management fees or agency costs, and a financing structure that allows the arbitrageur to undertake trades with long verification periods. The actions of these arbitrageurs cause liquid securities markets to be generally fairly efficient with respect to information, despite some notable anomalies.

In a capitalist system, consumers, investors, and corporations orient their activities toward a future that contains opportunities and risks. How actors assess uncertainty is a problem that economists have tried to solve through general equilibrium and rational expectations theory. Powerful as these analytical tools are, they underestimate the future’s unknowability by assuming that markets, in the aggregate, correctly forecast what is to come. Jens Beckert adds a new chapter to the theory of capitalism by demonstrating how fictional expectations drive modern economies—or throw them into crisis when the imagined futures fail to materialize. Collectively held images of how the future will unfold are critical because they free economic actors from paralyzing doubt, enabling them to commit resources and coordinate decisions even if those expectations prove inaccurate. Beckert distinguishes fictional expectations from performativity theory, which holds that predictions tend to become self-fulfilling prophecies. Economic forecasts are important not because they produce the futures they envision but because they create the expectations that generate economic activity in the first place. Actors pursue money, investments, innovations, and consumption only if they believe the objects obtained through market exchanges will retain value. We accept money because we believe in its future purchasing power. We accept the risk of capital investments and innovation because we expect profit. And we purchase consumer goods based on dreams of satisfaction. As Imagined Futures shows, those who ignore the role of real uncertainty and fictional expectations in market dynamics misunderstand the nature of capitalism.

Updated with a new chapter that draws on behavioral finance, the field that studies the psychology of investment decisions, the bestselling guide to investing evaluates the full range of financial opportunities.

The book begins by building upon the established, conventional principles of finance that you've have already learned in your principles course. The authors then move into psychological principles of behavioral finance, including heuristics and biases, overconfidence, emotion and social forces. You immediately see how human behavior influences the decisions of individual investors and professional finance practitioners, managers, and markets. You also gain a strong understanding of how social forces impact individuals' choices. The book clearly explains what behavioral finance indicates about observed market outcomes as well as how psychological biases potentially impact the behavior of managers. The book's solid academic approach provides opportunities for you to utilize theory and complete applications in every chapter as you learn the implications of behavioral finance on retirement, pensions, education, debiasing, and client management. The book spends a significant amount of time examining how today's practitioners can use behavioral finance to further their professional success.

The ways financial analysts, traders, and other specialists use information and learn from each other are of fundamental importance to understanding how markets work and prices are set. This graduate-level textbook analyzes how markets aggregate information and examines the impacts of specific market arrangements--or microstructure--on the aggregation process and overall performance of financial markets. Xavier Vives bridges the gap between the two primary views of markets--informational efficiency and herding--and uses a coherent game-theoretic framework to bring together the latest results from the rational expectations and herding literatures. Vives emphasizes the consequences of market interaction and social learning for informational and economic efficiency. He looks closely at information aggregation mechanisms, progressing from simple to complex environments: from static to dynamic models; from competitive to strategic agents; and from simple market strategies such as noncontingent orders or quantities to complex ones like price contingent orders or demand schedules. Vives finds that contending theories like informational efficiency and herding build on the same principles of Bayesian decision making and that "irrational" agents are not needed to explain herding behavior, booms, and crashes. As this book shows, the microstructure of a market is the crucial factor in the informational efficiency of prices. Provides the most complete analysis of the ways markets aggregate information Bridges the gap between the rational expectations and herding literatures Includes exercises with solutions Serves both as a graduate textbook and a resource for researchers, including financial analysts

Everyone from journalists to market pros are turning to behavioral finance to explain, analyze, and predict market direction. In contrast to old-school assumptions of cool-headed rationality, the new behavioral school embraces hot-blooded human irrationality as a core feature of both individuals and financial markets. The 2002 Nobel Prize in Economics was awarded to scholars of this new scientific approach to irrationality. In Mean Markets and Lizard Brains, Terry Burnham, an economist who has a proven ability to translate complex topics into everyday language, reveals the biological causes of irrationality. The human brain contains ancient structures that exert powerful and often unconscious influences on behavior. This "lizard brain" may have helped our ancestors eat and reproduce, but it wreaks havoc with our finances. Going far beyond cataloguing our financial foibles, Dr. Burnham applies this novel approach to all of today's most important financial topics: the stock market, the economy, real estate, bonds, mortgages, inflation, and savings. This broad and scholarly investigation provides an in-depth look at why manias, panics, and crashes happen, and why people are built to want to buy at irrationally high prices and sell at irrationally low prices. Most importantly, by incorporating the new science of irrationality, readers can position themselves to profit from financial markets that often seem downright mean. Mean Markets and Lizard Brains skillfully identifies the craziness that is part of human nature, helps us see it in ourselves, and then shows us how to profit from a world that doesn't always make sense.