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Finite-Sample Diagnostics for Multivariate Regressions with Applications to Linear Asset Pricing Models
(Université de Montréal. Département de sciences économiques., 2003)
In this paper, we propose several finite-sample specification tests for multivariate linear regressions (MLR) with applications to asset pricing models. We focus on departures from the assumption of i.i.d. errors assumption, ...
Exact Skewness-Kurtosis Tests for Multivariate Normality and Goodness-of-fit in Multivariate Regressions with Application to Asset Pricing Models
(Université de Montréal. Département de sciences économiques., 2003)
We study the problem of testing the error distribution in a multivariate linear regression (MLR) model. The tests are functions of appropriately standardized multivariate least squares residuals whose distribution is ...
Testing Mean-Variance Efficiency in CAPM with Possibly Non-Gaussian Errors : An Exact Simulation-Based Approach
(Université de Montréal. Département de sciences économiques., 2002)
In this paper we propose exact likelihood-based mean-variance efficiency tests of the market portfolio in the context of Capital Asset Pricing Model (CAPM), allowing for a wide class of error distributions which include ...
Monte Carlo Tests with Nuisance Parameters: A General Approach to Finite-Sample Inference and Nonstandard Asymptotics
(Université de Montréal. Département de sciences économiques., 2005)
The technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] provides an attractive method of building exact tests from statistics whose finite sample distribution is intractable but can be simulated (provided ...
Exact Multivariate Tests of Asset Pricing Models with Stable Asymmetric Distributions
(Université de Montréal. Département de sciences économiques., 2005)
In this paper, we propose exact inference procedures for asset pricing models that can be formulated in the framework of a multivariate linear regression (CAPM), allowing for stable error distributions. The normality ...
Finite-Sample Simulation-Based Inference in VAR Models with Applications to Order Selection and Causality Testing
(Université de Montréal. Département de sciences économiques., 2005)
Statistical tests in vector autoregressive (VAR) models are typically based on large-sample approximations, involving the use of asymptotic distributions or bootstrap techniques. After documenting that such methods can be ...
Simulation-Based Finite and Large Sample Tests in Multivariate Regressions
(Université de Montréal. Département de sciences économiques., 2000)
In the context of multivariate linear regression (MLR) models, it is well known that commonly employed asymptotic test criteria are seriously biased towards overrejection. In this paper, we propose a general method for ...
Markovian Processes, Two-Sided Autoregressions and Finite-Sample Inference for Stationary and Nonstationary Autoregressive Processes
(Université de Montréal. Département de sciences économiques., 2000)
In this paper, we develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models. The method is based on special properties of Markov processes and a split-sample technique. The ...
Exact Tests for Contemporaneous Correlation of Disturbances in Seemingly Unrelated Regressions
(Université de Montréal. Département de sciences économiques., 2000)
This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not. We apply ...