Zaghum Umar

Dr. Zaghum Umar

College of Business, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 May 2022 in Finance Research Letters
Verified
Journal Article
Closed access
Zaghum UmarZaghum Umar
Zaghum Umar
OPOnur Polat
Onur Polat
SCSun-Yong Choi
Sun-Yong Choi
TTTamara Teplova
Tamara Teplova

1 October 2019 in Energy Economics
Verified
Journal Article
Closed access
FMFarooq Malik
Farooq Malik
Zaghum UmarZaghum Umar
Zaghum Umar

1 July 2017 in International Review of Financial Analysis
Verified
Journal Article
Closed access
Syed Jawad Hussain ShahzadSyed Jawad Hussain Shahzad
Syed Jawad Hussain Shahzad
Roman FerrerRoman Ferrer
Roman Ferrer
LBLaura Ballester
Laura Ballester
Zaghum UmarZaghum Umar
Zaghum Umar

20 May 2022 in Finance Research Letters
Verified
Journal Article
Closed access
Zaghum UmarZaghum Umar
Zaghum Umar
ABAhmed Bossman
Ahmed Bossman
SCSun-Yong Choi
Sun-Yong Choi
TTTamara Teplova
Tamara Teplova

10 February 2022 in Finance Research Letters
Verified
Journal Article
Open access
Zaghum UmarZaghum Umar
Zaghum Umar
MGMariya Gubareva
Mariya Gubareva
TTTamara Teplova
Tamara Teplova
DTDang K. Tran
Dang K. Tran

14 July 2021 in Technological Forecasting and Social Change
Verified
Journal Article
Open access
Zaghum UmarZaghum Umar
Zaghum Umar
Francisco JareñoFrancisco Jareño
Francisco Jareño
MGMaría de la O González
María de la O González
This research explores the impact of COVID-19-related media coverage on the dynamic return and volatility connectedness of the three dominant cryptocurrencies (Bitcoin (BTC), Ethereum (ETH) and Ripple (XRP)) and the fiat currencies of the euro, GBP and Chinese yuan. The sample period covers the first and second devasting waves of the COVID-19 pandemic crisis and ranges from January 1, 2020, to December 31, 2020. The dynamic return and volatility connectedness measures are estimated using the time varying parameter-VAR approach. Our return connectedness analysis shows that the media coverage index (only before the first wave) and the cryptocurrencies are the net transmitters of shocks while the fiat currencies are the net receivers of shocks. Similar results are obtained in terms of volatility, except for the euro, which shows a clear net receiver profile in January and February. This fiat currency (the euro) became a net transmitter in March and during the first wave of the COVID-19 crisis, which possibly shows the virulence of the pandemic on the European continent. Moreover, the most relevant differences between the net dynamic (return and volatility) connectedness of these two groups of currencies are focused on the beginning of the sample period, just before the first wave of the SARS-CoV-2 pandemic crisis, although some differences are observed during the first and second waves of the coronavirus outbreak.