This paper investigates the impact of the Covid-19 pandemic on trade flows in the case of the European countries. First, an ARDL dynamic panel model is estimated using the PMG method to analyse monthly data covering the most recent period (2019M1-2021M12); then, the GMM and PCSE approaches are...

This paper analyses the stochastic behaviour of Private Equity returns (a measure of profitability) applying fractional integration methods to an extensive dataset including quarterly data spanning the last four decades for various geographical areas (US, Europe, Asia/Pacific, the Rest of the...

This paper examines the usefulness of shadow rates to measure the monetary policy stance by comparing them to the official policy rates and those implied by three types of Taylor rules in both inflation targeting countries (the UK, Canada, Australia and New Zealand) and others that have only...

This paper investigates static and dynamic connectedness between the first and second moments of fossil and renewable energy stock indices in the last decade at the daily frequency. For this purpose the Diebold and Yilmaz (2014) methodology is applied; in addition, endogenous break tests are...

This paper applies a fractional integration framework to analyse the stochastic behaviour of two Russian stock market volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period 2010-2018. The empirical findings are consistent...

This paper examines stock market integration between the ASEAN five and the US and China, respectively, over the period from November 2002 to March 2018. The linkages between both aggregate and financial sector stock indices (both weekly and monthly) are analysed using fractional integration and...

This paper examines the statistical properties of energy consumption in the GCC countries applying fractional integration methods to annual data from 1980 to 2014. The results indicate that both the raw and the logged series exhibit a (statistically significant) linear time trend in the case of...

This paper investigates the impact of business and political news on stock market returns in the Gulf Cooperation Council (GCC) countries. For this purpose, it employs a Markov switching model including a separate index for each of the two categories of news considered. The results indicate the...

This note investigates the effects of the recent political tensions in the Arabian peninsula on the linkages between the stock markets of the leading GCC countries by estimating a VAR-GARCH (1,1) model at a weekly frequency. The results indicate that the June 2017 crisis lowered stock market...

This paper investigates the role of the frequency of price overreactions in the cryptocurrency market in the case of BitCoin over the period 2013-2018. Specifically, it uses a static approach to detect overreactions and then carries out hypothesis testing by means of a variety of statistical...