Access the full text.
Sign up today, get DeepDyve free for 14 days.
A. Dyhrberg (2016)
Bitcoin, gold and the dollar – A GARCH volatility analysisFinance Research Letters, 16
Asil Azimli (2020)
The impact of COVID-19 on the degree of dependence and structure of risk-return relationship: A quantile regression approachFinance Research Letters, 36
Peterson Junior, A. Adam, George Tweneboah (2020)
Connectedness of cryptocurrencies and gold returns: Evidence from frequency-dependent quantile regressionsCogent Economics & Finance, 8
Weiyi Liu (2019)
Portfolio diversification across cryptocurrenciesFinance Research Letters
D. Baur, Lai Hoang (2019)
A Crypto Safe Haven Against BitcoinInformation Systems & Economics eJournal
C. Aloui, Hela Hamida, L. Yarovaya (2020)
Are Islamic gold-backed cryptocurrencies different?Finance Research Letters
N. Antonakakis, J. Cuñado, G. Filis, David Gabauer, F. Gracia (2018)
Oil volatility, oil and gas firms and portfolio diversificationEnergy Economics, 70
F. Muedini (2018)
The Compatibility of Cryptocurrencies and Islamic Finance
F. Diebold, K. Yilmaz (2011)
On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial FirmsEconometrics: Mathematical Methods & Programming eJournal
Nader Trabelsi (2019)
Dynamic and frequency connectedness across Islamic stock indexes, bonds, crude oil and goldInternational Journal of Islamic and Middle Eastern Finance and Management
M. Fligner, T. Killeen (1976)
Distribution-Free Two-Sample Tests for ScaleJournal of the American Statistical Association, 71
F. Diebold, K. Yilmaz (2010)
Better to Give than to Receive: Predictive Directional Measurement of Volatility SpilloversMicroeconomics: General Equilibrium & Disequilibrium Models of Financial Markets eJournal
Emna Mnif, Anis Jarboui (2020)
Impact of COVID19 on the Islamic cryptocurrencies
Shaista Wasiuzzaman, Hajah Rahman (2021)
Performance of gold-backed cryptocurrencies during the COVID-19 crisisFinance Research Letters, 43
Rashedul Hasan, M. Hassan, S. Aliyu (2020)
Fintech and Islamic Finance: Literature Review and Research Agenda, 3
Walid Mensi, Ferihane Boubaker, K. Al-Yahyaee, S. Kang (2018)
Dynamic volatility spillovers and connectedness between global, regional, and GIPSI stock marketsFinance Research Letters
D. Susilo, Sugeng Wahyudi, Irene Pangestuti, Bayu Nugroho, R. Robiyanto (2020)
Cryptocurrencies: Hedging Opportunities From Domestic Perspectives in Southeast Asia Emerging MarketsSAGE Open, 10
M. Abduh (2020)
Volatility of Malaysian conventional and Islamic indices: does financial crisis matter?Journal of Islamic Accounting and Business Research, 11
Tony Klein, Hien Thu, T. Walther (2018)
Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performanceInternational Review of Financial Analysis
A. Mamun, G. Uddin, M. Suleman, S. Kang (2020)
Geopolitical risk, uncertainty and Bitcoin investmentPhysica A-statistical Mechanics and Its Applications, 540
Orhan Erdem (2020)
Freedom and stock market performance during Covid-19 outbreakFinance Research Letters, 36
Ahmad Meera (2018)
Cryptocurrencies From Islamic Perspectives: The Case Of Bitcoin, 20
Emna Mnif, Anis Jarboui, Khaireddine Mouakhar (2020)
How the cryptocurrency market has performed during COVID 19? A multifractal analysisFinance Research Letters, 36
Anwar Othman, Syed Alhabshi, Razali Haron (2019)
Crypto-currencies, Fiat Money or Gold Standard; An Empirical Evidence from Volatility Structure Analysis Using News Impact CurveInternational Journal of Monetary Economics and Finance
W. Kruskal (1958)
Ordinal Measures of AssociationJournal of the American Statistical Association, 53
R. Aitken (2017)
OneGram and Dubai trading platform in $500M ‘Gold-Backed’ cryptocurrency ventureForbes
Ahmed Dahir, Fauziah Mahat, Bany Noordin, N. Razak (2019)
Dynamic connectedness between Bitcoin and equity market information across BRICS countriesInternational Journal of Managerial Finance, 16
N. Antonakakis, Ioannis Chatziantoniou, Christos Floros, David Gabauer (2018)
The dynamic connectedness of UK regional property returnsUrban Studies, 55
K. Shehzad, Xiaoxing Liu, Hayfa Kazouz (2020)
COVID-19’s disasters are perilous than Global Financial Crisis: A rumor or fact?Finance Research Letters, 36
M. Brière, K. Oosterlinck, A. Szafarz (2015)
Virtual currency, tangible return: Portfolio diversification with bitcoinJournal of Asset Management, 16
I. Fasanya, Oluwatomisin Oyewole, T. Odudu (2020)
Returns and volatility spillovers among cryptocurrency portfoliosInternational Journal of Managerial Finance
M. Ghazali, H. Lean, Z. Bahari (2015)
Sharia compliant gold investment in Malaysia: Hedge or safe haven?☆Pacific-basin Finance Journal, 34
G. Aielli (2011)
Dynamic Conditional Correlation: On Properties and EstimationJournal of Business & Economic Statistics, 31
D. Baur, K. Hong, Adrian Lee (2017)
Bitcoin: Medium of Exchange or Speculative Assets?PSN: Exchange Rates & Currency (Comparative) (Topic)
S. Corbet, C. Larkin, B. Lucey (2020)
The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrenciesFinance Research Letters, 35
N. Antonakakis, J. Cuñado, G. Filis, David Gabauer, F. Gracia (2020)
Oil and asset classes implied volatilities: Investment strategies and hedging effectivenessEnergy Economics, 91
Cosmin-Octavian Cepoi (2020)
Asymmetric dependence between stock market returns and news during COVID-19 financial turmoilFinance Research Letters, 36
K. Kroner, Victor Ng (1998)
Modeling Asymmetric Comovements of Asset ReturnsReview of Financial Studies, 11
Elie Bouri, Rangan Gupta, A. Tiwari, David Roubaud (2016)
Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressionsFinance Research Letters, 23
S. Corbet, Andrew Meegan, C. Larkin, B. Lucey, L. Yarovaya (2017)
Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial AssetsEconometric Modeling: Capital Markets - Asset Pricing eJournal
Thomas Conlon, Richard McGee (2020)
Safe haven or risky hazard? Bitcoin during the Covid-19 bear marketFinance Research Letters, 35
L. Glosten, R. Jagannathan, D. Runkle (1993)
On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on StocksJournal of Finance, 48
D. Baur, T. Dimpfl, Konstantin Kuck (2017)
Bitcoin, gold and the US dollar – A replication and extensionFinance Research Letters
R. Engle (2002)
Dynamic Conditional CorrelationJournal of Business & Economic Statistics, 20
Ibrahim Zubaidi, Adam Abdullah (2017)
Developing a Digital Currency from an Islamic Perspective: Case of Blockchain TechnologyInternational Business Research, 10
Arlyana Abubakar, Rieska Astuti, Rini Oktapiani (2018)
The Analysis of Risk Profile and Financial Vulnerability of Households in Indonesia, 20
Andrew Patton (2006)
Modelling Asymmetric Exchange Rate DependenceInternational Finance eJournal
Journal of International Financial Markets, Institutions and Money, 54
M. Chowdhury, D. Razak (2019)
Dynamism and mechanism of digital currency (cryptocurrency) towards Islamic finance
Journal of Econometrics, 182
Lorenzo Cappiello, R. Engle, Kevin Sheppard (2003)
Asymmetric Dynamics in the Correlations of Global Equity and Bond ReturnsReal Estate
Rafiqul Bhuyan, Eric Lin, P. Ricci (2010)
Asian stock markets and the Severe Acute Respiratory Syndrome (SARS) epidemic: implications for health risk managementInternational Journal of Environment and Health, 4
Finance Research Letters, 38
Economics Letters, 165
Debdatta Pal, S. Mitra (2019)
Hedging bitcoin with other financial assetsFinance Research Letters
N. Bakar, S. Rosbi, Kiyotaka Uzaki (2017)
Cryptocurrency Framework Diagnostics from Islamic Finance Perspective: A New Insight of Bitcoin System TransactionInternational Journal of Management Science and Business Administration, 4
A. Maierbrugger (2017)
Shariah-compliant, gold-backed digi-coins could change Islamic finance
This paper aims to analyze the time-varying connectedness of gold-backed cryptocurrencies and gold. This study determines the volatility spillovers in these two asset classes and the performance of bivariate portfolios based on net pairwise spillovers.Design/methodology/approachThis research uses two Islamic and four conventional gold-backed cryptocurrencies and gold as variables. GJR-GARCH method under corrected DCC (cDCC) of Aielli (2013) evaluates the dynamic connectedness. Additionally, the spillovers are created using the dynamic connectedness of Diebold and Yilmaz (2012). A network-based spillover of Diebold and Yılmaz, (2014) is also made. A dynamic optimal weights strategy optimized with DCC-t-Copula determines bivariate portfolios’ performances. In general, there are 21 bivariate portfolios.FindingsThe outbreak of COVID-19 increases the dynamic connectedness of gold and gold-backed cryptocurrencies, which indicates a contagion effect. The results show that gold is the net volatility receiver during the COVID-19 pandemic. Moreover, a portfolio composed of gold and gold-backed cryptocurrency provides high profitability performance but zero hedge effectiveness under optimal weights strategy.Practical implicationsAccording to bivariate portfolios based on net pairwise spillovers, gold-backed cryptocurrencies' investors should not add gold to their portfolio during the pandemic because it is a net receiver of risk from the cryptocurrencies.Originality/valueTo the best of the author’s knowledge, this is the first paper to create bivariate portfolios composed of gold-backed cryptocurrencies and their underlying asset using DCC-t-Copula.
Journal of Islamic Accounting and Business Research – Emerald Publishing
Published: Sep 3, 2021
Keywords: DCC-t-Copula; Gold-backed cryptocurrencies; Optimal weights; Spillovers
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.