WAYNE PENELLO AND ANDREW FURMAN have spent the better part of forty years investigating traditional hedging practices and innovating a better solution. And that innovation put them on a path to invent a groundbreaking approach to hedging. Risk Is an Asset tells the story of that invention, and it will transform the way you think about hedging strategies. What you will learn by reading this book is that effective hedging is not a decision, it is a process they call "Process Risk Management," or PRM. It is guided by risk metrics expressed in the same budgetary terms used to measure the success of your business. PRM helps each firm maintain focus on its own budgetary success and avoid the trap of trying to outguess the market. Why is measuring risk in budgetary terms important? Because if you measure the wrong things, you are unlikely to get the results you want.

"The conference was organized by the three editors of this book and took place on August 15-16, 2012 in Seattle."--Preface.

Fluctuations of commodity prices, most notably of oil, capture considerable attention and have been tied to important economic effects. This book advances our understanding of the consequences of these fluctuations, providing both general analysis and a particular focus on the countries of the Pacific Rim.

Commodities have become an important component of many investors' portfolios and the focus of much political controversy over the past decade. This book utilizes structural models to provide a better understanding of how commodities' prices behave and what drives them. It exploits differences across commodities and examines a variety of predictions of the models to identify where they work and where they fail. The findings of the analysis are useful to scholars, traders and policy makers who want to better understand often puzzling - and extreme - movements in the prices of commodities from aluminium to oil to soybeans to zinc.

A comprehensive framework for assessing strategies for managing risk and uncertainty, integrating theory and practice and synthesizing insights from many fields. This book offers a framework for making decisions under risk and uncertainty. Synthesizing research from economics, finance, decision theory, management, and other fields, the book provides a set of tools and a way of thinking that determines the relative merits of different strategies. It takes as its premise that we make better decisions if we use the whole toolkit of economics and related fields to inform our decision making. The text explores the distinction between risk and uncertainty and covers standard models of decision making under risk as well as more recent work on decision making under uncertainty, with a particular focus on strategic interaction. It also examines the implications of incomplete markets for managing under uncertainty. It presents four core strategies: a benchmark strategy (proceeding as if risk and uncertainty were low), a financial hedging strategy (valuable if there is much risk), an operational hedging strategy (valuable for conditions of much uncertainty), and a flexible strategy (valuable if there is much risk and/or uncertainty). The book then examines various aspects of these strategies in greater depth, building on empirical work in several different fields. Topics include price-setting, real options and Monte Carlo techniques, organizational structure, and behavioral biases. Many chapters include exercises and appendixes with additional material. The book can be used in graduate or advanced undergraduate courses in risk management, as a guide for researchers, or as a reference for management practitioners.

The author estimates the effects on growth of commodity price shocks, and uncertainty within an established empirical growth model. Ex-post shocks, and ex-ante uncertainty have been treated in the empirical literature as if they were synonymous. But they are distinct concepts, and it is both theoretically, and empirically inappropriate to treat them as synonymous. He shows that the interaction between policy, and aid is robust to the inclusion of variables capturing commodity price movements. More important, his approach departs in three ways from earlier empirical studies of the subject: 1) It deals with issues of endogeneity, without incurring an excessive loss of efficiency. 2) It defines the dependent variable to allow an assessment of the longer-term implications of temporary trade shocks. 3) It imposes no priors on how commodity price movements affect growth, but compares and contrasts a range of competing shock, and uncertainty specifications. The author resolves the disagreement about the long-run effect of positive shocks on growth, finding that positive shocks have no long-run impact on growth (that windfalls from trade shocks do not translate into sustainable increases in income). He shows that negative shocks have large, highly significant, and negative effects on growth, but that commodity price uncertainty does not affect growth.

The relationship between the price of oil and the level of economic activity is a fundamental issue in macroeconomics. There is an ongoing debate in the literature about whether positive oil price shocks cause recessions in the United States (and other oil-importing countries), and although there exists a vast empirical literature that investigates the effects of oil price shocks, there are relatively few studies that investigate the direct effects of uncertainty about oil prices on the real economy. The book uses recent advances in macroeconomics and financial economics to investigate the effects of oil price shocks and uncertainty about the price of oil on the level of economic activity.

This book provides fresh insights into concepts, methods and new research findings on the causes of excessive food price volatility. It also discusses the implications for food security and policy responses to mitigate excessive volatility. The approaches applied by the contributors range from on-the-ground surveys, to panel econometrics and innovative high-frequency time series analysis as well as computational economics methods. It offers policy analysts and decision-makers guidance on dealing with extreme volatility.

The authors explain the ways in which uncertainty is an important factor in the problems of risk and policy analysis. This book outlines the source and nature of uncertainty, discusses techniques for obtaining and using expert judgment, and reviews a variety of simple and advanced methods for analyzing uncertainty.