Further Evidence on Simulation Inference for Near Unit-Root Processes with Implications for Term Structure Estimation

Peter Fuleky
University of Washington

Abstract

Duffee and Stanton (2008) argued for the superiority of Indirect Inference (II) over the Efficient Method of Moments (EMM) for estimating term structure models. I arrive at a different conclusion by using an alternative formulation of EMM (herafter EMM-2). The EMM-2 estimator is asymptotically equivalent to EMM, but it has additional features in finite samples. I conduct a thorough comparison of EMM, EMM-2, and II in the context of continuous time models of the interest rate. Such models have a natural auxiliary counterpart given by their crude Euler discretization. While the EMM estimator corrects the discretization bias, the EMM-2 estimator also corrects the finite sample bias, which dominates the former one in parameter estimates of persistent processes. As a result, the EMM-2 mean reversion estimates have a 50% smaller root mean squared error for realistic parameter values in sample sizes of 1000 weekly observations. Consequently, the distributional properties of bond prices or mildly non-linear transformations of the EMM-2 estimates are also improved. In addition to its finite sample bias correction properties, the EMM-2 estimator performs better than the original one in coefficient tests, and overall its behavior closely matches that of II.

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