In this study, we propose a wavelet-copula-GARCH procedure to investigate the occurrence of cross-market linkages during the COVID-19 pandemic. To explore cross-market linkages, we distinguish between regular interdependence and pure contagion, and associate changes in the correlation between...

In this paper we investigate the behavior of inflation persistence in the United States. To model inflation we estimate an autoregressive GARCH-in-mean model with variable coefficients and we propose a new measure of second-order time varying persistence, which not only distinguishes between...

In this study, we examine the influence of the COVID-19 pandemic on stock market contagion. Empirical analysis is conducted on six major stock markets using a wavelet-copula GARCH approach to account for both the time and the frequency aspects of stock market correlation. We find strong evidence...