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Does the choice of realized covariance measures empirically matter? : a Bayesian density prediction approach

Jin, Xin; Liu, Jia; Yang, Qiao - In: Econometrics : open access journal 9 (2021) 4, pp. 1-22

This paper suggests a new approach to evaluate realized covariance (RCOV) estimators via their predictive power on return density. By jointly modeling returns and RCOV measures under a Bayesian framework, the predictive density of returns and ex-post covariance measures are bridged. The forecast...

Persistent link: https://www.econbiz.de/10012697796

An exponential endogenous switching regression with correlated random coefficients

Keay, Myoung-Jin - In: Econometrics : open access journal 10 (2022) 1, pp. 1-16

This paper presents a method for estimating the average treatment effects (ATE) of an exponential endogenous switching model where the coefficients of covariates in the structural equation are random and correlated with the binary treatment variable. The estimating equations are derived under...

Persistent link: https://www.econbiz.de/10012804937

Mahalanobis distances on factor model based estimation

Dai, Deliang - In: Econometrics : open access journal 8 (2020) 1/10, pp. 1-11

A factor model based covariance matrix is used to build a new form of Mahalanobis distance. The distribution and relative properties of the new Mahalanobis distances are derived. A new type of Mahalanobis distance based on the separated part of the factor model is defined. Contamination effects...

Persistent link: https://www.econbiz.de/10012265396

Testing cross-sectional correlation in large panel data models with serial correlation

Baltagi, Badi H.; Kao, Chihwa; Bin, Peng - In: Econometrics : open access journal 4 (2016) 4, pp. 1-24

This paper considers the problem of testing cross-sectional correlation in large panel data models with serially …-correlated errors. It finds that existing tests for cross-sectional correlation encounter size distortions with serial correlation in … account for serial correlation of an unknown form in the error term. We derive the limiting distribution of this test as (N …

Persistent link: https://www.econbiz.de/10011650378

A fast algorithm for the computation of HAC covariance matrix estimators

Heberle, Jochen; Sattarhoff, Cristina - In: Econometrics : open access journal 5 (2017) 1, pp. 1-16

This paper considers the algorithmic implementation of the heteroskedasticity and autocorrelation consistent (HAC) estimation problem for covariance matrices of parameter estimators. We introduce a new algorithm, mainly based on the fast Fourier transform, and show via computer simulation that...

Persistent link: https://www.econbiz.de/10011653828

Panel data estimation for correlated random coefficients models

Hsiao, Cheng; Li, Qi; Liang, Zhongwen; Xie, Wei - In: Econometrics : open access journal 7 (2019) 1/7, pp. 1-18

estimator, we show that when T is large, a generalized least squares estimator that ignores the correlation between the … the known correlation pattern, we derive the asymptotic properties of panel least squares estimators. Simulations are used …

Persistent link: https://www.econbiz.de/10012025649

A parsimonious test of constancy of a positive definite correlation matrix in a multivariate time-varying GARCH model

Kang, Jian; Jakobsen, Johan Stax; Silvennoinen, Annastiina - In: Econometrics : open access journal 10 (2022) 3, pp. 1-41

We construct a parsimonious test of constancy of the correlation matrix in the multivariate conditional correlation … deterministically as a function of time. The alternative is a covariance matrix, not a correlation matrix, so the test may be viewed as … a general test of stability of a constant correlation matrix. The size of the test in finite samples is studied by …

Persistent link: https://www.econbiz.de/10013459316

Cao, Shiyun; Zhou, Qiankun - In: Econometrics : open access journal 10 (2022) 3, pp. 1-27

In this paper, we consider the estimation of a dynamic panel data model with non-stationary multi-factor error structures. We adopted the common correlated effect (CCE) estimation and established the asymptotic properties of the CCE and common correlated effects mean group (CCEMG) estimators, as...

Persistent link: https://www.econbiz.de/10013459498

Causal vector autoregression enhanced with covariance and order selection

Bolla, Marianna; Ye, Dongze; Wang, Haoyu; Ma, Renyuan; … - In: Econometrics : open access journal 11 (2023) 1, pp. 1-30

A causal vector autoregressive (CVAR) model is introduced for weakly stationary multivariate processes, combining a recursive directed graphical model for the contemporaneous components and a vector autoregressive model longitudinally. Block Cholesky decomposition with varying block sizes is...

Persistent link: https://www.econbiz.de/10014281492

Building multivariate time-varying smooth transition correlation GARCH models, with an application to the four largest Australian banks

Hall, Anthony; Silvennoinen, Annastiina; Teräsvirta, Timo - In: Econometrics : open access journal 11 (2023) 1, pp. 1-37

this area are the specification tests related to the correlation component, the extension of the general model to allow for … additional correlation regimes, and a detailed exposition of the systematic, improved modelling cycle required for such nonlinear …

Persistent link: https://www.econbiz.de/10014281494

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