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Gauging the dynamic interlinkage level between Fintech and the global blue economy performance

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  • Le Thanh Ha

Abstract

Purpose - We investigate connections between the development of Fintech and the blue economy from September 14th, 2020, to August 11th, 2023. Design/methodology/approach - In this research, we use a cutting-edge model-free connectedness approach to investigate the relationships between FinTech and blue bond volatility. Our work is the first to investigate the effects of unknown events, such as the COVID-19 pandemic and Ukraine–Russia conflicts, on the interconnection of volatility derived from FinTech development and blue bond volatility. Findings - Our results highlight the two-way relationship between the development of Fintech and the blue economy during our sample period. The net total connectedness shows that the blue economy index is a net shock receiver, especially in late 2021 and the second half of 2022, while most of the fintech indexes in our sample are mainly net shock transmitters. The Ukraine–Russia tension threatens the development of a sustainable blue economy. The development of Fintech plays an important role in promoting the blue economy. Practical implications - Our results have important policy implications for investors and governments, as well as methods from the spillovers across the various indicators and their interconnections. Sharp information on the primary contagions among these indicators aids politicians in designing the most appropriate policies. Originality/value - Our paper contributes to the literature in at least four ways. First, as previously stated, our article is the first to investigate the relationship between FinTech and blue bond volatility. Second, this study presented a framework for studying volatility interconnections between distinct variables that is more suited to analyzing these interconnections. In this research, we use a cutting-edge model-free connectedness approach to investigate the relationships between FinTech and blue bond volatility. Third, our work is the first to investigate the effects of unknown events such as the COVID-19 pandemic and Ukraine–Russia conflicts on the interconnection of volatility deriving from FinTech development and blue bond volatility. Lastly, our research provides a daily dataset for the BNP Paribas Easy ECPI Global ESG Blue Economy UCITS ETF to analyze 50 businesses from various markets that are at the forefront of the responsible application of ocean resources and other ESG standards. The Global X FinTech ETF (FINX) and the ARK FinTech Innovation ETF (ARKF) seek exposure to companies developing financial technology innovations. The development sectors include insurance, investment, fundraising and third-party lending by utilizing cutting-edge mobile and digital technologies. Our time series runs from September 14th, 2020, to August 11th, 2023. By using this database, we provide a comprehensive analysis of the link between the volatilities arising from various markets.

Suggested Citation

  • Le Thanh Ha, 2024. "Gauging the dynamic interlinkage level between Fintech and the global blue economy performance," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 52(1), pages 55-71, May.
  • Handle: RePEc:eme:jespps:jes-10-2023-0613
    DOI: 10.1108/JES-10-2023-0613
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    More about this item

    Keywords

    A model-free connectedness approach; FinTech innovation; Blue economy performance; Ukraine–Russia conflicts; ECPI global ESG blue economy index; C22; C51; D53; H12;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management

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