Associate Professor Yiu Lim LUI's Paper Accepted for Publication in Journal of Econometrics
Dec. 18, 2023
Yiu Lim LUI, IAER Associate Professor, had his paper accepted for publication in Journal of Econometrics recently. Entitled "Robust Testing for Explosive Behavior with Strongly Dependent Errors", the paper was co-authored with Prof. Peter C.B. Phillips, Sterling Professor of Economics at Yale University and Prof. Jun Yu, Chair Professor of Finance and Economics at University of Macau.
A heteroskedasticity-autocorrelation robust (HAR) test statistic is proposed to test for the presence of explosive roots in financial or real asset prices when the equation errors are strongly dependent. Limit theory for the test statistic is developed and extended to heteroskedastic models. The new test has stable size properties unlike conventional test statistics that typically lead to size distortion and inconsistency in the presence of strongly dependent equation errors. The new procedure can be used to consistently time-stamp the origination and termination of an explosive episode under similar conditions of long memory errors. Simulations are conducted to assess the finite sample performance of the proposed test and estimators. An empirical application to the S&P 500 index highlights the usefulness of the proposed procedures in practical work.