This study suggests an alternative method to estimate time-varying country risk. We first apply a new multivariate stochastic volatility (SV) model to a set of emerging stock markets. To estimate the SV model, we use a Bayesian Markov chain Monte Carlo simulation procedure. By applying the...

We examine the dynamic behavior of Equity Real Estate Investment Trust (EREIT) volatility in a GARCH context 1972-2006 using monthly EREIT returns, and comparing volatility performance for quot;earlyquot; Equity REITs 1972-1992 with that of quot;modernquot; EREITs 1993-2006. Consistent with...

Covered interest parity (CIP) is the theoretical relationship that explains the price difference between spot and forward exchange rates in terms of the interest rate differential between the home and the foreign currency. CIP arbitrage maintains the parity pricing between a host of financial...

It is well known that high-frequency asset returns are fat-tailed relative to the Gaussian distribution, and that the fat tails are typically reduced but not eliminated when returns are standardized by volatilities estimated from popular ARCH and stochastic volatility models. We consider two...

In this paper we analyze the link between stock market performance and macroeconomic performance for a large number of countries. We study the short-run and long-run relationships and find that stock market returns do not coherently predict future macroeconomic changes for the majority of...

We examine the international stock market comovements between Western Europe vis-à-vis Central (Czech Republic, Hungary and Poland) and South Eastern Europe (Croatia, Macedonia and Serbia) using multivariate GARCH models in the period 2006–2011. Comparing these two groups, we find that the...

This paper assesses the impact of US policy responses to the Covid-19 pandemic on various cryptocurrencies and also technology stocks using fractional integration techniques. More precisely, it analyses the behaviour of the percentage returns in the case of nine major coins (Bitcoin - BITC,...

Employing a time-varying volatility transmission model, this study examines the impact of asymmetric information and uncertainty on the interactions across energy and foreign exchange markets. The results show that the ARCH coefficients monitoring the impact for the "own" shocks (currency on...

The estimation and the analysis of long memory parameters have mainly focused on the analysis of long-range dependence in stock return volatility using traditional time and spectral domain estimators of long memory. The definitive ubiquity and existence of long memory in the volatility of stock...

This paper uses fractional integration methods to assess the impact of US policy responses (containment and health measures, income support policy, debt-relief policy, changes in the Effective Federal Funds Rate, monetary and fiscal announcements) to the COVID-19 pandemic on US sectoral stock...