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Asymmetric effect of basis on dynamic futures hedging: Empirical evidence from commodity markets

Journal of Banking & Finance 2008 32(2), 187-198
The dynamic minimum variance hedge ratios (MVHRs) have been commonly estimated using the Bivariate GARCH model that overlooks the basis effect on the time-varying variance–covariance of spot and futures returns. This paper proposes an alternative specification of the BGARCH model in which the effect is incorporated for estimating MVHRs. Empirical investigation in commodity markets suggests that the basis effect is asymmetric, i.e., the positive basis has greater impact than the negative basis on the variance and covariance structure. Both in-sample and out-of-sample comparisons of the MVHR performance reveal that the model with the asymmetric effect provides greater risk reduction than the conventional models, illustrating importance of the asymmetric effect when modeling the joint dynamics of spot and futures returns and hence estimating hedging strategies.

Sweep programs and optimal monetary aggregation

Journal of Banking & Finance 2005 29(2), 483-508
This paper examines the admissibility of monetary aggregate groupings for the US over 1993–2001, based upon weak separability. We investigate the impact of retail and commercial demand deposit sweep programs on the separability of monetary asset groupings. Weak separability is tested using the Swofford–Whitney and Fleissig–Whitney tests. We use Varian's measurement error adjustment procedure to eliminate violations of the Generalized Axiom of Revealed Preference (GARP). When funds from both retail and commercial demand deposit sweep programs are placed within checkable deposits, all groupings, narrow and broad, pass GARP and weak separability. For groupings based on conventional money measures, tests tend to favor broad aggregates.

Dividends, Total Cash Flow to Shareholders, and Predictive Return Regressions

The Review of Economics and Statistics 2006 88(1), 91-99 open access
This paper provides new evidence on the predictive power of dividend yields for U.S. aggregate stock returns. Following Miller and Modigliani, we construct a measure of the dividend yield that includes all cash flows to shareholders. We show that this alternative cash-flow yield has strong and stable predictive power for returns, and appears robust to a battery of tests that have been proposed in recent critiques of the predictability literature.