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Financial technology stocks, green financial assets, and energy markets: A quantile causality and dependence analysis

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  • Tiwari, Aviral Kumar
  • Abakah, Emmanuel Joel Aikins
  • Shao, Xuefeng
  • Le, TN-Lan
  • Gyamfi, Matthew Ntow

Abstract

With the development of Industry 4.0 and the urgency of transitioning to a low-carbon economy, fintech and environmentally friendly financial instruments have been widely employed because they have played a crucial role in restoring investor confidence in the financial services sector since the global financial crisis in 2008. They not only help investors diversify their portfolios to hedge against risks and enhance returns, but they also help to reduce the negative impacts of climate change. In this study, we analyze the connections among financial technology stocks, green financial assets, and energy markets using nonparametric causality-in-quantile and cross-quantilogram approaches based on the financial contagion theory. We explore whether the performance of fintech prices across booms and busts affects the prices of eco-friendly assets and energy market prices. Our results indicate that in the short run, fintech is highly directionally predictable in all markets except that of green bonds in the lower quantile. Additionally, in the bullish state, the predictability of all lag lengths is negative. Thus, price movements in fintech markets contribute to the vulnerability of the price levels of renewable and non-renewable energy stocks, green bonds, green equities, and sustainable development. Because financial contagion is closely related to asset pricing, portfolio allocation, risk measurement, and monetary policy, the findings of this paper will be informative to investors, portfolio managers, and policy makers.

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  • Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Shao, Xuefeng & Le, TN-Lan & Gyamfi, Matthew Ntow, 2023. "Financial technology stocks, green financial assets, and energy markets: A quantile causality and dependence analysis," Energy Economics, Elsevier, vol. 118(C).
    • Handle: RePEc:eee:eneeco:v:118:y:2023:i:c:s0140988322006272
    DOI: 10.1016/j.eneco.2022.106498
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    More about this item

    Keywords

    Quantile predictability; Fintech; Renewable and nonrenewable energy; Green bonds; Causality-in-quantiles; Cross-quantilogoram correlation;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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