Risk-return measures of hedging effectiveness: The case of multiple cash and futures markets

In this article we consider the measure of hedging effectiveness proposed by Howard and D' Antonio (HD) when there are multiple cash and futures markets. It is found that the HD measure can be decomposed into two components: one solely determined by the futures market conditions, the other affected by both cash and futures markets as well as the hedger's cash portfolio. We then analyze the impacts of optimal cash portfolios on the HD measure. Although the Ederington hedging effectiveness is bounded over all cash portfolios, the conclusion does not apply to the HD measure.     

DATA REVISION AND MARKET RESPONSE: THE CASE OF UNITED STATES TRADE BALANCE ANNOUNCEMENTS†

ABSTRACT In this paper we study economic news, as reflected in the announcements of the United States trade balance by the Commerce department, to illustrate the importance of revised data versus preliminary data to economic agents. A new methodology has been developed here to study how agents in the exchange market respond to these monthly trade balance announcements and consequently, move the dollar's exchange rate. In contrast to previous studies where agent reactions to only preliminary trade figures were analyzed, this method is applied to examine market reactions to the preliminary and revised trade balance figures.     

Do country risk and financial uncertainty matter for energy commodity futures?

Using an instrumental variable quantile regression technique, this paper assesses whether country risk and financial uncertainty exert an impact on energy commodity futures prices under different commodity conditional return distributions over the period from January 1994 to July 2017. We also discuss whether the correlations change with different dimensions of country risk, that is economic, financial, and political. The results reveal that country risk and financial stress do have a significant impact on energy commodity returns of futures contracts with different maturities, but their direction, intensity, and significance differ, caused by the distinct market situations and divergent channels of country risk.     

The Year in Review: Economics at the Antitrust Division, 2020–2021

Challenging anticompetitive acquisitions of nascent competitors is a top priority of the Antitrust Division of the U.S. Department of Justice. It is especially important that competition agencies remain vigilant of such acquisitions in platform markets, where indirect network effects and other market forces tend to preserve the status quo at the expense of smaller, more innovative rivals and potentially final consumers. This article discusses two such attempted acquisitions: (1) Visa’s acquisition of technology firm Plaid that threatened to disrupt Visa’s monopoly power in online debit; and (2) Sabre’s acquisition of Farelogix, which is a firm that allows airlines to connect directly to travel agencies and thereby disintermediates Sabre and other global distribution systems.

     

Testing Macro Models by Indirect Inference: A Survey for Users

With Monte Carlo experiments on models in widespread use we examine the performance of indirect inference (II) tests of DSGE models in small samples. We compare these tests with ones based on direct inference (using the Likelihood Ratio, LR). We find that both tests have power so that a substantially false model will tend to be rejected by both; but that the power of the II test is substantially greater, both because the LR is applied after re-estimation of the model error processes and because the II test uses the false model’s own restricted distribution for the auxiliary model’s coefficients. This greater power allows users to focus this test more narrowly on features of interest, trading off power against tractability.     

A note on estimating the minimum extended Gini hedge ratio

The extended Gini coefficient, Γ, is a measure of dispersion with strong theoretical merit for use in futures hedging. Yitzhaki (1982, 1983) provides conditions under which a two-parameter framework using the mean and Γ of portfolio returns yields an efficient set consistent with second-order stochastic dominance. Unlike mean-variance theory, the mean-Γ framework requires no particular return distribution or utility function to yield this conclusion. However, Γ must be computed iteratively making it less convenient to use than variance. Shalit (1995) offers a solution to the computation problem by suggesting an instrumental variables (IV) slope estimator, β^IV, as the basis for the minimum extended Gini hedge ratio where the instruments are based on the empirical distribution function (edf) of futures prices. However, the validity of employing the IV slope coefficient as the basis for the minimum extended Gini hedge ratio requires the questionable assumption that the rankings of futures prices to be the same as those for the profits of the hedged portfolio. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19:101–113, 1999