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Crypto goes East: analyzing Bitcoin, technological and regulatory contagions in Asia–Pacific financial markets using asset pricing

Author

Listed:
  • Gatot Soepriyanto
  • Shinta Amalina Hazrati Havidz
  • Rangga Handika

Abstract

Purpose - This study provides a comprehensive analysis of the potential contagion of Bitcoin on financial markets and sheds light on the complex interplay between technological advancements, accounting regulatory and financial market stability. Design/methodology/approach - The study employs a multi-faceted approach to analyze the impact of BTC systemic risk, technological factors and regulatory variables on Asia–Pacific financial markets. Initially, a single-index model is used to estimate the systematic risk of BTC to financial markets. The study then uses ordinary least squares (OLS) to assess the potential impact of systemic risk, technological factors and regulatory variables on financial markets. To further control for time-varying factors common to all countries, a fixed effect (FE) panel data analysis is implemented. Additionally, a multinomial logistic regression model is utilized to evaluate the presence of contagion. Findings - Results indicate that Bitcoin's systemic risk to the Asia–Pacific financial markets is relatively weak. Furthermore, technological advancements and international accounting standard adoption appear to indirectly stabilize these markets. The degree of contagion is also found to be stronger in foreign currencies (FX) than in stock index (INDEX) markets. Research limitations/implications - This study has several limitations that should be considered when interpreting the study findings. First, the definition of financial contagion is not universally accepted, and the study results are based on the specific definition and methodology. Second, the matching of daily financial market and BTC data with annual technological and regulatory variable data may have limited the strength of the study findings. However, the authors’ use of both parametric and nonparametric methods provides insights that may inspire further research into cryptocurrency markets and financial contagions. Practical implications - Based on the authors analysis, they suggest that financial market regulators prioritize the development and adoption of new technologies and international accounting standard practices, rather than focusing solely on the potential risks associated with cryptocurrencies. While a cryptocurrency crash could harm individual investors, it is unlikely to pose a significant threat to the overall financial system. Originality/value - To the best of the authors knowledge, they have not found an asset pricing approach to assess a possible contagion. The authors have developed a new method to evaluate whether there is a contagion from BTC to financial markets. A simple but intuitive asset pricing method to evaluate a systematic risk from a factor is a single index model. The single index model has been extensively used in stock markets but has not been used to evaluate the systemic risk potentials of cryptocurrencies. The authors followed Morcket al.(2000) and Durnevet al. (2004) to assess whether there is a systemic risk from BTC to financial markets. If the BTC possesses a systematic risk, the explanatory power of the BTC index model should be high. Therefore, the first implied contribution is to re-evaluate the findings from Aslanidiset al.(2019), Dahiret al. (2019) and Handikaet al. (2019), using a different method.

Suggested Citation

  • Gatot Soepriyanto & Shinta Amalina Hazrati Havidz & Rangga Handika, 2023. "Crypto goes East: analyzing Bitcoin, technological and regulatory contagions in Asia–Pacific financial markets using asset pricing," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 20(7), pages 2794-2815, December.
  • Handle: RePEc:eme:ijoemp:ijoem-07-2022-1127
    DOI: 10.1108/IJOEM-07-2022-1127
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    More about this item

    Keywords

    Cryptocurrency; Systematic risk; Asset pricing; Contagion; Technological advancement; Accounting regulatory; Multinomial logistic regression; G01; G14; G15;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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