Explaining the Persistence of Commodity Prices
AbstractThis paper extends the Competitive Storage Model by incorporating prominent features of the production process and financial markets. This extension seems necessary since the basic model does not successfully explain the degree of serial correlation observed in actual data. To generate a high degree of price persistence, the model must incorporate agents that are willing to hold stocks more often than predicted by the basic model, so we include characteristics of the production and trading mechanisms to provide the required incentives. Specifically, we introduce (i) gestation lags in production with heteroskedastic supply shocks, (ii) multiperiod forward contracts, and (iii) a convenience return to inventory holding. Rational expectations solutions for twelve commodities are solved numerically. Simulations are then used to assess the effects of these extensions on the time-series properties of commodity prices. The results indicate that each feature accounts partly for the persistence as well as the occasional spikes observed in actual data. Evidence is also presented that the precautionary demand for stocks might play a substantial role in the dynamics of commodity prices.
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Bibliographic InfoArticle provided by Society for Computational Economics in its journal Computational Economics.
Volume (Year): 16 (2000)
Issue (Month): 1/2 (October)
commodity prices; persistence; speculative storage;
Other versions of this item:
- NG, Serena & RUGE-MURCIA, Francisco J., 1997. "Explaining the Persistence of Commodity Prices," Cahiers de recherche 9709, Universite de Montreal, Departement de sciences economiques.
- Serena Ng & Francisco Ruge-Murcia, 1997. "Explaining the Persistence of Commodity Prices," Boston College Working Papers in Economics 374, Boston College Department of Economics.
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
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