This volume presents an entirely new analysis of the economics of futures markets, that will be of interest to both specialists in the area and the generalist economist seeking a new perspective. Through a combination of theoretical investigation and empirical application, three important themes are explored: the gains from futures trading and the efforts of emerging markets to reap these benefits; rationality and rival hypotheses of trader behaviour, such as noise trading; and the effect of regulatory tools on price formation.

Weather derivatives provide a tool for weather risk management, and the markets for these exotic financial products are gradually emerging in size and importance. This unique monograph presents a unified approach to the modeling and analysis of such weather derivatives, including financial contracts on temperature, wind and rain. Based on a deep statistical analysis of weather factors, sophisticated stochastic processes are introduced modeling the time and space dynamics. Applying ideas from the modern theory of mathematical finance, weather derivatives are priced, and questions of hedging analyzed. The treatise contains an in-depth analysis of typical weather contracts traded at the Chicago Mercantile Exchange (CME), including so-called CDD and HDD futures. The statistical analysis of weather variables are based on a large data set from Lithuania. The monograph includes the research done by the authors over the last decade on weather markets. Their work has gained considerable attention, and has been applied in many contexts.

Advanced Option Pricing Models details specific conditions under which current option pricing models fail to provide accurate price estimates and then shows option traders how to construct improved models for better pricing in a wider range of market conditions. Model-building steps cover options pricing under conditional or marginal distributions, using polynomial approximations and “curve fitting,” and compensating for mean reversion. The authors also develop effective prototype models that can be put to immediate use, with real-time examples of the models in action.

This book offers an explanation of why commodity processors and dealers use futures markets. It argues that they use futures contracts as part of an implicit method of borrowing and lending commodities, contrary to the accepted view of dealers averse to the fluctuating value of their inventories wanting insurance against price risk. Employing models developed to explain the demand for money, this book demonstrates that risk-neutral dealers have sufficient reason to use futures markets. Moreover, the book exposes major internal inconsistencies in the accepted explanation. Rather than insurance markets, the appropriate analogy is the money market, which is the point the book establishes through discussing actual loan markets in commodities. This insight into the function of futures markets is then used to explain how futures prices for different delivery dates express a term structure of commodity-specific interest rates and why futures markets flourish for some types of commodities and not for others.

First published in 1986, this book discusses many important aspects of the theory and practice of Futures Markets. It describes how they, at the time, grew to be an increasingly important feature of the world's major financial centres. Indeed, they adopted the role of being efficient forward pricing mechanisms and this was reflected by the interest of economists in the study of risk, uncertainty and information. Here, the contributors focus on areas that were of concern in the late 1980s such as feasibility, forward pricing and returns, and the modelling of price determination in Futures Markets. Evidence is drawn from twenty-five different commodities representing all the major commodity groups; and from all the world's major centres of Futures Trading.

This book provides new insights into the modeling and forecasting of primary commodity prices by featuring comprehensive applications of the most recent methods of statistical time series analysis.