This paper studies the three-step Euclidean likelihood (3S) estimator and its corrected version as proposed by Antoine, Bonnal and Renault (2007) in globally misspecified models. We establish that the 3S estimator stays sqrt-consistent and asymptotically Gaussian. The discontinuity in the...

We use the EM algorithm to derive recursive expressions for maximum likelihood location and scale estimators for Tukey's corner distributions, in particular the one-wild. This now enables optimal estimation for the triefficiency criterion used to appraise robust estimators. The effect of...

Copulas are full measures of dependence among random variables. They are increasingly popular among academics and practitioners in financial econometrics for modeling comovements between markets, risk factors, and other relevant variables. A copula's hidden dependence structure that couples a...

Parametric mixture models are commonly used in applied work, especially empirical economics, where these models are often employed to learn for example about the proportions of various types in a given population. This paper examines the inference question on the proportions (mixing probability)...

We describe the maximum likelihood method as a mechanism for estimating parameters in stochastic differential equations used to describe the behavior of financial variables. Are considered special cases of the Black-Scholes model and Vasicek, for which estimates are derived parameters that...

We demonstrate that the estimation of meta-frontier parameters by minimizing the sum of the absolute values or squares of the distances between the meta-frontier and the individual group frontiers, which is an established practice in the literature, is equivalent to maximizing a constrained...

The use of the Kalman filter for estimation purposes is not always an easy task despite the obvious advantages in many situations of the state-space representation. This is in part due to the fact that the computation of the corresponding score (gradient of the log-likelihood) is sometimes...

The equity premium, namely the expected return on the aggregate stock market less the government bill rate, is of central importance to the portfolio allocation of individuals, to the investment decisions of firms, and to model calibration and testing. This quantity is usually estimated from the...

This paper focuses on finding starting-values for maximum likelihood estimation of Vector STAR models. Based on a Monte Carlo exercise, different procedures are evaluated. Their performance is assessed w.r.t. model fit and computational effort. I employ i) grid search algorithms, and ii)...

The family of Generalized Empirical Likelihood (GEL) estimators provide a number of potential advantages relative to Generalized Method of Moments (GMM) estimators. While it is well known these estimators share an asymptotic distribution, the GEL estimators may perform better in finite sample,...