A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.
This book is a volume in the Penn Press Anniversary Collection. To mark its 125th anniversary in 2015, the University of Pennsylvania Press rereleased more than 1,100 titles from Penn Press's distinguished backlist from 1899-1999 that had fallen out of print. Spanning an entire century, the Anniversary Collection offers peer-reviewed scholarship in a wide range of subject areas.
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
A comprehensive, up-to-date examination of the most important theory, concepts, methodological approaches, and applications in the burgeoning field of judgment and decision making (JDM) Emphasizes the growth of JDM applications with chapters devoted to medical decision making, decision making and the law, consumer behavior, and more Addresses controversial topics from multiple perspectives – such as choice from description versus choice from experience – and contrasts between empirical methodologies employed in behavioral economics and psychology Brings together a multi-disciplinary group of contributors from across the social sciences, including psychology, economics, marketing, finance, public policy, sociology, and philosophy 2 Volumes
Innovative, long-term strategies for reducing vulnerability to large-scale natural disasters and for providing financial support for disaster victims. The United States and other nations are facing large-scale risks at an accelerating rhythm. In 2005, three major hurricanes—Katrina, Rita, and Wilma—made landfall along the U.S. Gulf Coast within a six-week period. The damage caused by these storms led to insurance reimbursements and federal disaster relief of more than $180 billion—a record sum. Today we are more vulnerable to catastrophic losses because of the increasing concentration of population and activities in high-risk coastal regions of the country. The question is not whether but when, and how frequently, future catastrophes will strike and the extent of damages they will cause. Who should pay the costs associated with catastrophic losses suffered by homeowners in hazard-prone areas? In At War with the Weather, Howard Kunreuther and Erwann Michel-Kerjan with their colleagues deliver a groundbreaking analysis of how we currently mitigate, insure against, and finance recovery from natural disasters in the United States. They offer innovative, long-term solutions for reducing losses and providing financial support for disaster victims that define a coherent strategy to assure sustainable recovery from future large-scale disasters. The amount of data collected and analyzed and innovations proposed make this the most comprehensive book written on these critical issues in the past thirty years.
Two related trends have created novel challenges for managing risk in the United States. The first trend is a series of dramatic changes in liability law as tort law has expanded to assign liability to defendants for reasons other than negligence. The unpredictability of future costs induced by changes in tort law may be partly responsible for the second major trend known as the `liability crisis' - the disappearance of liability protection in markets for particularly unpredictable risks. This book examines decisions people make about insurance and liability. An understanding of such decision making may help explain why the insurance crisis resulted from the new interpretations of tort law and what to do about it. The articles cover three kinds of decisions: consumer decisions to purchase insurance; insurer decisions about coverage they offer; and the decisions of the public about the liability rules they prefer, which are reflected in legislation and regulation. For each of these three kinds of decisions, normative theories such as expected utility theory can be used as benchmarks against which actual decisions are judged.
PRICING INSURANCE RISK A comprehensive framework for measuring, valuing, and managing risk Pricing Insurance Risk: Theory and Practice delivers an accessible and authoritative account of how to determine the premium for a portfolio of non-hedgeable insurance risks and how to allocate it fairly to each portfolio component. The authors synthesize hundreds of academic research papers, bringing to light little-appreciated answers to fundamental questions about the relationships between insurance risk, capital, and premium. They lean on their industry experience throughout to connect the theory to real-world practice, such as assessing the performance of business units, evaluating risk transfer options, and optimizing portfolio mix. Readers will discover: Definitions, classifications, and specifications of risk An in-depth treatment of classical risk measures and premium calculation principles Properties of risk measures and their visualization A logical framework for spectral and coherent risk measures How risk measures for capital and pricing are distinct but interact Why the cost of capital, not capital itself, should be allocated The natural allocation method and how it unifies marginal and risk-adjusted probability approaches Applications to reserve risk, reinsurance, asset risk, franchise value, and portfolio optimization Perfect for actuaries working in the non-life or general insurance and reinsurance sectors, Pricing Insurance Risk: Theory and Practice is also an indispensable resource for banking and finance professionals, as well as risk management professionals seeking insight into measuring the value of their efforts to mitigate, transfer, or bear nonsystematic risk.
Forecasts predict that those in need of long-term care in Europe will double in the next 50 years. This book offers a full understanding of the institutional responses and mechanisms in place to finance old age and provides analysis of demand and supply factors underpinning the development of financial instruments to cover long-term care in Europe.
Prospect Theory: For Risk and Ambiguity, provides a comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events (risk) and when we lack them (ambiguity). The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in the book has been carefully organized to allow readers to select pathways through the book relevant to their own interests. With numerous exercises and worked examples, the book is ideally suited to the needs of students taking courses in decision theory in economics, mathematics, finance, psychology, management science, health, computer science, Bayesian statistics, and engineering.
