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Storage and Commodity Markets
This book deals with the capability to store surplus commodities and the impact of stockpiles on prices and production.
Manipulation on Trial
The unprecedented rise and fall in silver's price during 1979 and 1980 resulted in charges against the Hunt brothers of Dallas of monopolization and market manipulation, charges which led to a lengthy trial. This book focuses on the economic analysis used at this trial. Drawing upon interviews with the judge, jury, attorneys and expert witnesses (the author having so served), it investigates the elusive definition of manipulation in sophisticated markets, the difficulties of interpreting statistical evidence, the imprecision in calculating damages, the hidden assumptions behind inferences concerning intent, and the hazards introduced when economic analysis enters complex litigation. The author concludes that these problems induce courtroom procedures to oversimplify the economic analysis and cause the law on market manipulation to be created retroactively. Yet the failure lies not with the legal institutions but with the futures exchanges who had not developed in advance the rules to minimize large-scale trading during the unusual price moves.
The Economic Function of Futures Markets
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.
Computational Macroeconomics for the Open Economy
How to use nonlinear dynamic models in policy analysis. Policymakers need quantitative as well as qualitative answers to pressing policy questions. Because of advances in computational methods, quantitative estimates are now derived from coherent nonlinear dynamic macroeconomic models embodying measures of risk and calibrated to capture specific characteristics of real-world situations. This text shows how such models can be made accessible and operational for confronting policy issues. The book starts with a simple setting based on market-clearing price flexibility. It gradually incorporates departures from the simple competitive framework in the form of price and wage stickiness, taxes, rigidities in investment, financial frictions, and habit persistence in consumption. Most chapters end with computational exercises; the Matlab code for the base model can be found in the appendix. As the models evolve, readers are encouraged to modify the codes from the first simple model to more complex extensions. Computational Macroeconomics for the Open Economy can be used by graduate students in economics and finance as well as policy-oriented researchers.
Statement of Disbursements of the House as Compiled by the Chief Administrative Officer from ...
Covers receipts and expenditures of appropriations and other funds.
