• Asymptotic Theory for Rotated Multivariate GARCH Models 

      Asai, Manabu; Chang, Chia-Lin; McAleer, Michael; Pauwels, Laurent
      Published 2019-03-20
      In this paper, we derive the statistical properties of a two step approach to estimating multivariate GARCH rotated BEKK (RBEKK) models. By the definition of rotated BEKK, we estimate the unconditional covariance matrix ...
      Open Access
      Working Paper
    • Higher Moment Constraints for Predictive Density Combinations 

      Pauwels, Laurent; Radchenko, Peter; Vasnev, Andrey
      Published 2019-03-19
      The majority of financial data exhibit asymmetry and heavy tails, which makes forecasting the entire density critically important. Recently, a forecast combina- tion methodology has been developed to combine predictive ...
      Open Access
      Working Paper
    • Consistent Estimation of Linear Regression Models Using Matched Data 

      Hirukawa, Masayuki; Prokhorov, Artem
      Published 2017-03-16
      Economists often use matched samples, especially when dealing with earnings data where a number of missing observations need to be imputed. In this paper, we demonstrate that the ordinary least squares estimator of the ...
      Open Access
      Article
    • Random Effects Models with Deep Neural Network Basis Functions: Methodology and Computation 

      Tran, Minh-Ngoc; Nguyen, Nghia; Nott, David; Kohn, Robert
      Published 2017-01-01
      Deep neural networks (DNNs) are a powerful tool for functional approximation. We describe flexible versions of generalized linear and generalized linear mixed models incorporating basis functions formed by a deep neural ...
      Open Access
      Article
    • Endogenous Environmental Variables In Stochastic Frontier Models 

      Amsler, Christine; Prokhorov, Artem; Schmidt, Peter
      Published 2017-04-09
      This paper considers a stochastic frontier model that contains environmental variables that affect the level of inefficiency but not the frontier. The model contains statistical noise, potentially endogenous regressors, ...
      Open Access
      Article