This paper investigates the impact of globalization and integration on the relative benefits of country and industry diversification. Unlike previous models, our factor model allows asset exposures to vary with both structural changes and temporary fluctuations in the economic and financial...

This appendix to Time-Varying Integration and International Diversification Strategies contains additional information on how the data used in this paper is compiled/constructed, on how the optimal structural regime-switching volatility spillover models are selected, and on the derivation of the...

In this study a regime-switching approach is applied to estimate the chartist and fundamentalist (camp;f) exchange rate model originally proposed by Frankel and Froot (1986). The camp;f model is tested against alternative regime-switching specifications applying likelihood ratio tests. Nested...

ABSTRACT:The present paper analyses the relationship between the volume of transactions with futuresequity index products and the return volatility of their underlying assets. The study addressesthe case of five stock markets, members of the Euronext.liffe. We employ a frequency domainanalysis...

This work proposes an approach for estimating value at risk (VaR) of the Mexican stock exchange index (IPC) by using a combination of the autoregressive moving average models (ARMA); three different models of the arch family, one symmetric (GARCH) and two asymmetric (GJR-GARCH and EGARCH); and...

We use multivariate regime switching vector autoregressive models to characterize the time-varying linkages among the Irish stock market, one of the top world performers of the 1990s, and the US and UK stock markets. We find that two regimes, characterized as bear and bull states, are required...

We implement a multifrequency volatility decomposition of three exchange rates and show that components with similar durations are strongly correlated across series. This motivates a bivariate extension of the Markov-Switching Multifractal (MSM) introduced in Calvet and Fisher (2001, 2004)....

This note discusses some aspects of the paper by Hu and Tsay (2014), “Principal Volatility Component Analysis”. The key issues are considered, and are also related to existing conditional covariance and correlation models. Some caveats are given about multivariate models of time-varying...

The price of gold is influenced by a wide range of local and global factors such as commodity prices, interest rates, inflation expectations, exchange rate changes and stock market volatility among others. Hence, forecasting the price of gold is a notoriously difficult task and the main problem...