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Zaghum Umar

Researcher at Zayed University

Publications -  114
Citations -  2863

Zaghum Umar is an academic researcher from Zayed University. The author has contributed to research in topics: Social connectedness & Medicine. The author has an hindex of 15, co-authored 66 publications receiving 750 citations. Previous affiliations of Zaghum Umar include South Ural State University & University of Groningen.

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A time-frequency analysis of the impact of the Covid-19 induced panic on the volatility of currency and cryptocurrency markets.

TL;DR: Wavelet analyses corroborate the thesis that the cross-currency hedge strategies, which could work under normal market conditions, are likely to fail during the periods of global crisis, e.g., such as the Covid-19 pandemic.
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Risk transmission between Islamic and conventional stock markets: A return and volatility spillover analysis

TL;DR: In this article, the authors examined return and volatility spillovers across the global Islamic stock market, three main conventional national stock markets (the US, UK and Japan) and a number of influential macroeconomic and financial variables over the period from July 1996 to June 2016.
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Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach

TL;DR: Gabauer et al. as mentioned in this paper introduced a novel time-varying parameter vector autoregression (TVP-VAR) based extended joint connectedness approach in order to characterize connectedness of 11 agricultural commodity and Crude Oil futures prices spanning from July 1, 2005 to May 1, 2020.
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Dynamic connectedness of oil price shocks and exchange rates

TL;DR: In this article, the authors studied how different sources of oil price shocks are connected to exchange rates of major oil-dependent countries using daily data from March 1996 to February 2019. And they found that the connectedness of this relationship between price shocks and exchange rates has significantly increased after the global financial crisis.
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The impact of the Russia-Ukraine conflict on the connectedness of financial markets

TL;DR: In this article , the authors investigate the impact of geopolitical risks caused by the Russian-Ukrainian conflict on Russia, European financial markets, and the global commodity markets, measuring the dynamic connectedness among them using time and frequency-based time-varying parameter vector autoregression (TVP-VAR) approaches.