global var
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Author(s):  
Razieh Zahedi ◽  
Asghar Shahmoradi ◽  
Ali Taiebnia
Keyword(s):  

2021 ◽  
pp. 1-6
Author(s):  
Afees A. Salisu ◽  
Rangan Gupta ◽  
Abeeb Olaniran
Keyword(s):  
Real Gdp ◽  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Idris A. Adediran ◽  
Abdulfatai Salawudeen ◽  
Syed Nasir Ashraf Sabzwari

Purpose This paper aims to make the first attempt to study the transmission of COVID-19 pandemic-induced shocks to the global Islamic stock markets in the midst of the overall macroeconomic environment and cross-country trade linkages. This is made possible by constructing a global vector autoregressive (GVAR) model and with it the authors arrive at noteworthy conclusions. Design/methodology/approach The paper estimates both fixed and time-varying weights GVAR models for 15 Islamic stock markets with 5,000 bootstrap replications and reports impulse response functions. It simulates four shocks associated with the pandemic: first, a standard error negative shock to oil price; second, a standard error negative shock to the global Islamic stock markets; third, a standard error positive shock to equity-based uncertainty index; and fourth, a standard error negative shock to economic activity (inflation). Findings The paper shows that the pandemic engenders immediate negative impacts on the Islamic stock markets with the biggest impacts borne by the USA and China and the least by markets in the Middle East. The study documents the magnitudes of the responses to the shocks and shows that the impacts of the pandemic will take about 20 months to wither completely. Originality/value The findings throw up diversification benefits for investors toward the UAE, Oman, Bahrain and other Middle East markets especially during crisis. It further reveals the need for counter-cyclical measures in all countries to curtail the negative impacts of the pandemic which could linger for up to 20 months.


2021 ◽  
Vol 21 (1) ◽  
pp. 41-55
Author(s):  
Marek Juráček

Abstract This research focuses on the impact of German exports on exports of the other selected EU countries. We used the Global VAR approach to build a robust trade model between 23 EU countries, the USA, and China. By stressing this model with different shocks, we were able to observe how exports of the EU countries react to German loss of competitiveness and decline of demand from Germany. Based on our simulation, we could identify countries which i. are Germany’s competitors and would benefit from German loss of competitiveness, ii. are tied with German trade so tightly that loss of German competitiveness would negatively affect their exports.


2021 ◽  
Author(s):  
Alessandro Celani ◽  
Paola Cerchiello ◽  
Paolo Pagnottoni

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