Residual-Based Diagnostics for Conditional Heteroscedasticity Models

We examine the residual–based diagnostics for univariate and multivariate conditional heteroscedasticity models. The tests are based on the parameter estimates of an autoregression with the squared standardized residuals or the cross products of the standardized residuals as dependent variables. As...

Full description

Saved in:
Bibliographic Details
Main Author: TSE, Yiu Kuen
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2002
Subjects:
Online Access:https://ink.library.smu.edu.sg/soe_research/498
https://ink.library.smu.edu.sg/context/soe_research/article/1497/viewcontent/Tse_Residualbaseddiagnosticsconditional_2002_pv.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.soe_research-1497
record_format dspace
spelling sg-smu-ink.soe_research-14972024-07-24T01:52:15Z Residual-Based Diagnostics for Conditional Heteroscedasticity Models TSE, Yiu Kuen We examine the residual–based diagnostics for univariate and multivariate conditional heteroscedasticity models. The tests are based on the parameter estimates of an autoregression with the squared standardized residuals or the cross products of the standardized residuals as dependent variables. As the regression involves estimated regressors the standard distribution theories of the ordinary least squares estimates do not apply. We provide the asymptotic variance of the regression estimates. Diagnostic statistics, which are asymptotically distributed as ?[sup 2], are constructed. A Monte Carlo experiment is conducted to investigate the finite–sample properties of the residual–based tests for both univariate and multivariate models. The results show that the residual–based diagnostics provide useful checks for model adequacy in both univariate and multivariate cases. 2002-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/498 info:doi/10.1111/1368-423X.t01-1-00088 https://ink.library.smu.edu.sg/context/soe_research/article/1497/viewcontent/Tse_Residualbaseddiagnosticsconditional_2002_pv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Conditional heteroscedasticity Lagrange multiplier test Monte Carlo experiment Portmanteau statistic Residual-based diagnostic Econometrics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Conditional heteroscedasticity
Lagrange multiplier test
Monte Carlo experiment
Portmanteau statistic
Residual-based diagnostic
Econometrics
spellingShingle Conditional heteroscedasticity
Lagrange multiplier test
Monte Carlo experiment
Portmanteau statistic
Residual-based diagnostic
Econometrics
TSE, Yiu Kuen
Residual-Based Diagnostics for Conditional Heteroscedasticity Models
description We examine the residual–based diagnostics for univariate and multivariate conditional heteroscedasticity models. The tests are based on the parameter estimates of an autoregression with the squared standardized residuals or the cross products of the standardized residuals as dependent variables. As the regression involves estimated regressors the standard distribution theories of the ordinary least squares estimates do not apply. We provide the asymptotic variance of the regression estimates. Diagnostic statistics, which are asymptotically distributed as ?[sup 2], are constructed. A Monte Carlo experiment is conducted to investigate the finite–sample properties of the residual–based tests for both univariate and multivariate models. The results show that the residual–based diagnostics provide useful checks for model adequacy in both univariate and multivariate cases.
format text
author TSE, Yiu Kuen
author_facet TSE, Yiu Kuen
author_sort TSE, Yiu Kuen
title Residual-Based Diagnostics for Conditional Heteroscedasticity Models
title_short Residual-Based Diagnostics for Conditional Heteroscedasticity Models
title_full Residual-Based Diagnostics for Conditional Heteroscedasticity Models
title_fullStr Residual-Based Diagnostics for Conditional Heteroscedasticity Models
title_full_unstemmed Residual-Based Diagnostics for Conditional Heteroscedasticity Models
title_sort residual-based diagnostics for conditional heteroscedasticity models
publisher Institutional Knowledge at Singapore Management University
publishDate 2002
url https://ink.library.smu.edu.sg/soe_research/498
https://ink.library.smu.edu.sg/context/soe_research/article/1497/viewcontent/Tse_Residualbaseddiagnosticsconditional_2002_pv.pdf
_version_ 1814047705553436672