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1 – 2 of 2Yousra Trichilli, Hana Kharrat and Mouna Boujelbène Abbes
This paper assesses the co-movement between Pax gold and six fiat currencies. It also investigates the optimal time-varying hedge ratios in order to examine the properties of Pax…
Abstract
Purpose
This paper assesses the co-movement between Pax gold and six fiat currencies. It also investigates the optimal time-varying hedge ratios in order to examine the properties of Pax gold as a diversifier and hedge asset.
Design/methodology/approach
This paper examines the volatility spillover between Pax gold and fiat currencies using the framework of wavelet analysis, BEKK-GARCH models and Range DCC-GARCH. Moreover, this paper proposes to use the covariance and variance structure obtained from the new range DCC-GARCH framework to estimate the time-varying optimal hedge ratios, the optimal weighs and the hedging effectiveness.
Findings
Wavelet coherence method reveals that, at low frequency, large zone of co-movements appears for the pairs Pax gold/EUR, Pax gold/JPY and Pax gold/RUB. Further, the BEKK results show unidirectional (bidirectional) transmission effects between Pax gold and EUR, GBP, JPY and CNY (INR, RUB) fiat currencies. Moreover, the Range DCC results show that the Pax gold and the fiat currency returns are weakly correlated with low coefficients close to zero. Thus, Pax gold seems to serve as a safe haven asset against the systematic risk of fiat currency markets. In addition, the results of optimal weights show that rational investor should invest more in Pax gold and less in fiat currencies. Concerning the hedge ratios results, the findings reveal that the INR (JPY) fiat currency appears to be the most expensive (cheapest) hedge for the Pax-gold market. However, the JPY’s fiat currency appears to be the cheapest one. As for hedging effectiveness results, the authors found that hedging strategies including fiat currencies–Pax gold pairs are most likely to sharply decrease the portfolio’s risk.
Practical implications
A comprehensive understanding of the relationship between Pax Gold and fiat currencies is crucial for refining portfolio strategies involving cryptocurrencies. This research underscores the significance of grasping volatility transmissions between these currencies, providing valuable insights to guide investors in their decision-making processes. Moreover, it encourages further exploration into the interdependencies of digital currencies. Additionally, this study sheds light on effective contagion risk management, particularly during crises such as Covid-19 and the Russia–Ukraine conflict. It underscores the role of Pax Gold as a safe-haven asset and offers practical guidance for adjusting portfolios across various economic conditions. Ultimately, this research advances our comprehension of Pax Gold’s risk-return profile, positioning it as a potential hedge during periods of uncertainty, thereby contributing to the evolving literature on cryptocurrencies.
Originality/value
This study’s primary value lies in its pioneering empirical examination of the time-varying correlations and scale dependence between Pax Gold and fiat currencies. It goes beyond by determining optimal time-varying hedge ratios through the innovative Range-DCC-GARCH model, originally introduced by Molnár (2016) and distinguished by its incorporation of both low and high prices. Significantly, this analysis unfolds within the unique context of the Covid-19 pandemic and the Russian–Ukrainian conflict, marking a novel contribution to the field.
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Hana Kharrat, Yousra Trichilli and Boujelbène Abbes
This paper aims to describe a new method for constructing the FintTech Index that measures the development of FinTech in the conventional and Islamic banking sectors in the Middle…
Abstract
Purpose
This paper aims to describe a new method for constructing the FintTech Index that measures the development of FinTech in the conventional and Islamic banking sectors in the Middle East and North Africa (MENA). It also tests the effect of this new proxy on the performance of conventional and Islamic banks in MENA countries.
Design/methodology/approach
Using data from Islamic and conventional banks in the MENA region between 2010 and 2020, the authors rely on Text Mining Technology with the help of AntConc, principal component and factor analysis. The study also uses the simultaneous equation model to test the interdependent relationship between FinTech and bank performance.
Findings
The study argues that the proposed measure effectively represents the FinTech industry in the MENA financial markets. The results provide micro evidence on the application of FinTech innovation in Islamic and conventional banks to improve their performance, profitability, stability and efficiency. Furthermore, the findings can provide insights for practitioners and researchers interested in implementing FinTech collaboration to enhance the performance of Islamic and conventional banks in the MENA region.
Practical implications
Investors can leverage this FinTech Index in portfolio investments, trading strategy and hedging in MENA countries. In addition, policymakers can benefit from the challenges outlined in this work to support the development and incubation of FinTech in conventional and Islamic banks. Thus, they can better recognize the new generation of banking services with which they need to deal and collaborate.
Originality/value
This paper makes a methodological contribution to the literature on FinTech search patterns by combining factor analysis with corpus processing software. This is the most comprehensive global FinTech index. In addition, to the best of the authors’ knowledge, this study is the first to examine the simultaneous relationship between the FinTech index and the performance of Islamic and conventional banks.
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