Many emerging markets have experienced significant changes in government policies and capital market reforms. These changes may lead to changes in their return-generating processes. Based on Markov-switching models, this paper investigates whether there is more than one regime in the...

This research examines the dynamic relationship between foreign portfolio equity flows and equity returns on the Johannesburg Stock Exchange (JSE). The primary objective of this research is to uncover how equity market returns influence foreign cross border portfolio equity flows and in turn how...

This paper takes a new approach to investigate the interaction between the U.S. and China's stock markets. Since the U.S. and China's stock markets have no overlap in their trading hours, many empirical studies show that the daily returns on these two markets are not correlated. In this paper,...

In this paper, we examine the dynamic nature of equity market integration for the South Asian countries. The daily data for local equity indices are used from 6 January 2004 to 31 March 2015. Copula GARCH models and Diebold and Yilmaz methodology have been employed to study the inter-temporal...

In this article, we examine the dynamic currency linkages for BRIS (Brazil, Russia, India and South Africa) and 15 other emerging market economies (EMEs) using weekly data from 2001 to 2018. Using the asymmetric dynamic conditional correlation (ADCC)-EGRARCH framework, we find that the average...

In this paper, we examine the dynamic nature of equity market integration for the South Asian countries. The daily data for local equity indices are used from 6 January 2004 to 31 March 2015. Copula GARCH models and Diebold and Yilmaz methodology have been employed to study the inter-temporal...

In this article, we examine the dynamic currency linkages for BRIS (Brazil, Russia, India and South Africa) and 15 other emerging market economies (EMEs) using weekly data from 2001 to 2018. Using the asymmetric dynamic conditional correlation (ADCC)-EGRARCH framework, we find that the average...

Factor modeling is a popular strategy to induce sparsity in multivariate models as they scale to higher dimensions. We develop Bayesian inference for a recently proposed latent factor copula model, which utilizes a pair copula construction to couple the variables with the latent factor. We use...

Factor modeling is a popular strategy to induce sparsity in multivariate models as they scale to higher dimensions. We develop Bayesian inference for a recently proposed latent factor copula model, which utilizes a pair copula construction to couple the variables with the latent factor. We use...