For the multivariate COGARCH process, we obtain explicit expressions for second-order structure of “squared returns” process observed on an equidistant grid. Based this, present a generalized method moments estimator its parameters. Under appropriate moment and strong mixing conditions, show that resulting is consistent asymptotically normal. Sufficient conditions mixing, stationarity identifia...

The Hausman (1978) test is based on the vector of differences of two estimators. It is usually assumed that one of the estimators is fully efficient, since this simplifies calculation of the test statistic. However, this assumption limits the applicability of the test, since widely used estimators such as the generalized method of moments (GMM) or quasi maximum likelihood (QML) are often not fu...

In this paper, the concomitants of case-II of generalized order statistics from Farlie-Gumbel-Morgenstern (FGM) distributions and recurrence relations between their moments are studied. Further, we provide the minimum variance linear unbiased estimator of the location and scale parameters of the concomitants of ordinary order statistics from some distributions.

I examine the relationship between board of director’s (BoD) education and firm performance on a European dataset over the period from 1999 to 2013, employing a well-developed dynamic panel generalized method of moments (GMM) estimator to alleviate endogeneity issue in corporate governance study. I find no correlation between BoD education and firm’s return on asset, after accounting for endoge...

This paper essentially extends the generalized spectral estimation of Berkowitz (2001) to provide a consistent generalized spectral estimator (GSE), considering all the information available, possibly with in…nite dimensions, based upon Escanciano (2006). Our estimator can entertain the strengths of the Berkowitz-GSE over the standard GMM. In contrast, more importantly, the newly proposed estim...

One income distribution is preferable to another under any increasing and Schur-concave (S-concave) social welfare function if and only if the generalized Lorenz (GL) curve of the first distribution lies above that of the second (GL dominance). This paper (i) derives the asymptotic distribution of a vector of sample GL curve ordinates, interpreting it as a method-of-moments estimator, and (ii) ...

In this paper we derive a test statistic generating equation (TSGE) from which several statistics suitable for testing parametric restrictions in models estimated by the generalized method of moments (GMM) may be obtained. This statistic presents three main features: it is valid for producing statistics appropriate for testing constraints expressed in very general forms, which may involve not o...