This paper examines the dependence structure and risk spillovers between oil prices and exchange rates in both oil-exporting and oil-importing countries. Using a flexible dependence switching copula model, we analyze both positive and negative dependence and transitions between the dependence regimes. Additionally, we investigate the directional risk spillovers between oil and currency markets in both their downsides and upsides. Based on empirical data from 1999 to 2024 for major oil-exporting and oil-importing countries, we find that oil price-currency dependence is predominantly positive for oil-exporting countries, with infrequent transitions, but mainly negative for oil-importing countries, with frequent transitions between the two dependence regimes. These transitions often occur around crisis or war times. Furthermore, we observe that during downturns in the oil market, tail dependence between oil prices and currencies becomes more pronounced than during upturns. Our results indicate the presence of risk spillovers between oil and currency markets, with the downside spillover effects outweighing the upside ones. Moreover, we find that risk spillover is stronger from oil markets to currency markets than the reverse direction. These insights substantially enrich the existing literature and would offer valuable implications for effective risk management strategies and policymaking.

This study summarizes research on farm-, local-, regional-, and macro-level economic effects of ethanol production. Given current production levels, the ethanol production industry annually employees approximately 3,500 workers, pays out nearly $132 million in worker salaries, generates over $110 million in local taxes, and takes in some $2 billion in government incentive payments. Projections for a 60 million gallon per year ethanol plant indicate an annual increase in corn usage of 21 million bushels, a one-time capitalization of $75 million, an increase in local corn prices of between $0.06/bushel and $0.12/bushel, a 54 direct and a 210 indirect jobs created, an increase in local tax revenues of $1.2 million, a decrease in federal commodity program outlays of $30 million, and an increase in ethanol production incentives (federal only) of around $30.5 million.

Meta-analysis is used to quantitatively summarize previous studies of residential electricity demand to determine if there are factors that systematically affect estimated elasticities. In this study, price and income elasticities of residential demand for electricity from previous studies are used as the dependent variables, with data characteristics, model structure, and estimation technique as independent variables, using both least square estimation of a semilog model and maximum likelihood estimation of a gamma model. The findings of this research can help better inform public policy makers, regulators, and utilities about the responsiveness of residential electricity consumers to price and income changes.

Motivated by repeated price spikes and crashes over the last decade, weinvestigate whether the growing market shares of futures speculatorsdestabilize commodity spot prices. We approximate conditional volatility andanalyze how it is affected by speculative open interest. In this context, wesplit our sample into two equally long subperiods and document whether thespeculative impact on conditional volatility increases. With respect to sixheavily traded agricultural and energy commodities, we do not find robustevidence that this is the case. We thus conclude that the financializationof raw material markets does not make them more volatile.

Exchange rates have long been thought to have an important impact on the export and import of goods and services, and, thus, exchange rates are expected to influence the price of those products that are traded. At the same time, energy impacts commodity production in some very important ways. The use of chemical and petroleum derived inputs has increased in agriculture over time; the prices of these critical inputs, then, would be expected to alter supply, and, therefore, the prices of commodities using these inputs. Also, agricultural commodities have been increasingly used to produce energy, thereby leading to an expectation of a linkage between energy and commodity markets. In this paper, we examine the price relationship through time of the primary agricultural commodities, exchange rates, and oil prices. Using overlapping time periods, we examine the cointegration relationship between prices to determine changes in the strength of the linkage between markets through time. In general, we find that commodity prices are linked to oil for corn, cotton, and soybeans, but not for wheat, and that exchange rates do play a role in the linkage of prices over time.