Models Of Risk Preferences

Models of Risk Preferences collects studies that critically review alternatives to Expected Utility Theory from the perspective of experimental economics.

The need to understand the theories and applications of economic and finance risk has been clear to everyone since the financial crisis, and this collection of original essays proffers broad, high-level explanations of risk and uncertainty. The economics of risk and uncertainty is unlike most branches of economics in spanning from the individual decision-maker to the market (and indeed, social decisions), and ranging from purely theoretical analysis through individual experimentation, empirical analysis, and applied and policy decisions. It also has close and sometimes conflicting relationships with theoretical and applied statistics, and psychology. The aim of this volume is to provide an overview of diverse aspects of this field, ranging from classical and foundational work through current developments. Presents coherent summaries of risk and uncertainty that inform major areas in economics and finance Divides coverage between theoretical, empirical, and experimental findings Makes the economics of risk and uncertainty accessible to scholars in fields outside economics

Presents research utilizing laboratory experimental methods in economics.

The objective of Risk Analysis in Theory and Practice is to present this analytical framework and to illustrate how it can be used in the investigation of economic decisions under risk. In a sense, the economics of risk is a difficult subject: it involves understanding human decisions in the absence of perfect information. How do we make decisions when we do not know some of events affecting us? The complexities of our uncertain world and of how humans obtain and process information make this difficult. In spite of these difficulties, much progress has been made. First, probability theory is the corner stone of risk assessment. This allows us to measure risk in a fashion that can be communicated among decision makers or researchers. Second, risk preferences are now better understood. This provides useful insights into the economic rationality of decision making under uncertainty. Third, over the last decades, good insights have been developed about the value of information. This helps better understand the role of information in human decision making and this book provides a systematic treatment of these issues in the context of both private and public decisions under uncertainty. Balanced treatment of conceptual models and applied analysis Considers both private and public decisions under uncertainty Website presents application exercises in Excel

"This book presents a balanced blend of pure finance and contract theory in the presence of risk, alternative forms of information structures, and static and dynamic frameworks. In particular, it provides an introduction to the use of stochastic methods in financial economics and finance. The following topics are covered: financial risk and asset pricing and asset returns under alternative contractual arrangements, portfolio choice, individual behavior towards risk, general equilibrium under uncertainty in discrete and continuous time settings, indivisibilities and nonconvexities in a general equilibrium context, contract theory, mechanism design and principal-agent relationships in partial and general equilibrium contexts, credit markets, and option pricing."

Traditionally economists have based their economic predictions on the assumption that humans are super-rational creatures, using the information we are given efficiently and generally making selfish decisions that work well for us as individuals. Economists also assume that we're doing the very best we can possibly do - not only for today, but over our whole lifetimes too. But increasingly the study of behavioural economics is revealing that our lives are not that simple. Instead, our decisions are complicated by our own psychology. Each of us makes mistakes every day. We don't always know what's best for us and, even if we do, we might not have the self-control to deliver on our best intentions. We struggle to stay on diets, to get enough exercise and to manage our money. We misjudge risky situations. We are prone to herding: sometimes peer pressure leads us blindly to copy others around us; other times copying others helps us to learn quickly about new, unfamiliar situations. This Very Short Introduction explores the reasons why we make irrational decisions; how we decide quickly; why we make mistakes in risky situations; our tendency to procrastination; and how we are affected by social influences, personality, mood and emotions. The implications of understanding the rationale for our own financial behaviour are huge. Behavioural economics could help policy-makers to understand the people behind their policies, enabling them to design more effective policies, while at the same time we could find ourselves assaulted by increasingly savvy marketing. Michelle Baddeley concludes by looking forward, to see what the future of behavioural economics holds for us. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

"The authors start with the fundamentals of risk measurement and risk aversion. They then apply these concepts to insurance decisions and portfolio choice in a one-period model. After examining these decisions in their one-period setting, they devote most of the book to a multiperiod context, which adds the long-term perspective most risk management analyses require. Each chapter concludes with a discussion of the relevant literature and a set of problems."--Jacket.

Expected utility provides simple, testable properties of the optimum behavior that should be displayed by risk-averse individuals in risky decisions. Simultaneously, given the existence of paradoxes under the expected utility paradigm, expected utility can only be regarded as an approximation of actual behavior. A more realistic model is needed. This is particularly true when treating attitudes toward small probability events: the standard situation for insurable risks. Non-Expected Utility and Risk Management examines whether the existing results in insurance economics are robust to more general models of behavior under risk.