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Interconnectedness between healthcare tokens and healthcare stocks: Evidence from a quantile VAR approach

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  • Yousaf, Imran
  • Pham, Linh
  • Goodell, John W.

Abstract

We investigate the interdependence between healthcare stocks and healthcare tokens, an emerging asset class associated with the integration of blockchain technology in the healthcare sector. Employing the quantile connectedness approach on the daily returns of the largest healthcare stocks and tokens, our results show that healthcare stocks and tokens are largely unrelated at the median quantile. In contrast, there is an increase in the connectedness between these markets at the extreme quantiles. We also find evidence of time-varying spillovers in the markets across the quantiles. Specifically, there is an increase in the sensitivity in the spillover patterns between healthcare stocks and tokens during extreme market conditions such as the first year of the COVID-19 pandemic. Finally, we document the asymmetric, time-varying tail dependence between healthcare stocks and healthcare tokens.

Suggested Citation

  • Yousaf, Imran & Pham, Linh & Goodell, John W., 2023. "Interconnectedness between healthcare tokens and healthcare stocks: Evidence from a quantile VAR approach," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 271-283.
    • Handle: RePEc:eee:reveco:v:86:y:2023:i:c:p:271-283
    DOI: 10.1016/j.iref.2023.03.013
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    Cited by:

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    3. Foglia, Matteo & Maci, Giampiero & Pacelli, Vincenzo, 2024. "FinTech and fan tokens: Understanding the risks spillover of digital asset investment," Research in International Business and Finance, Elsevier, vol. 68(C).
    4. Yousaf, Imran & Zeitun, Rami & Ali, Shoaib & Palma, Alessia, 2024. "Impact of tokenization on financial investments: Exploring connectedness through the case of transport and travel/tourism sectors," Finance Research Letters, Elsevier, vol. 62(PB).
    5. Gunay, Samet & Altınkeski, Buket Kırcı & Ismail Çevik, Emrah & Goodell, John W., 2023. "Quantifying systemic risk in the cryptocurrency market: A sectoral analysis," Finance Research Letters, Elsevier, vol. 58(PC).
    6. Boubaker, Sabri & Karim, Sitara & Naeem, Muhammad Abubakr & Rahman, Molla Ramizur, 2024. "On the prediction of systemic risk tolerance of cryptocurrencies," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    7. Yousaf, Imran & Riaz, Yasir & Goodell, John W., 2023. "Integration between asset management tokens, asset management stock, and other financial markets: Evidence from TVP-VAR modeling," Finance Research Letters, Elsevier, vol. 57(C).
    8. Yousaf, Imran & Ijaz, Muhammad Shahzad & Umar, Muhammad & Li, Yanshuang, 2024. "Exploring volatility interconnections between AI tokens, AI stocks, and fossil fuel markets: evidence from time and frequency-based connectedness analysis," Energy Economics, Elsevier, vol. 133(C).
    9. Yousaf, Imran & Pham, Linh & Goodell, John W., 2024. "Dynamic spillovers between leading cryptocurrencies and derivatives tokens: Insights from a quantile VAR approach," International Review of Financial Analysis, Elsevier, vol. 94(C).
    10. Patel, Ritesh & Goodell, John W. & Chishti, Muhammad Zubair, 2023. "Assessing connectedness of transportation cryptocurrencies and transportation stocks: Evidence from wavelet quantile correlation," Finance Research Letters, Elsevier, vol. 58(PC).
    11. Yousaf, Imran & Assaf, Ata & Demir, Ender, 2024. "Relationship between real estate tokens and other asset classes: Evidence from quantile connectedness approach," Research in International Business and Finance, Elsevier, vol. 69(C).

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    More about this item

    Keywords

    Blockchain; Healthcare tokens; Healthcare stocks; Extreme spillovers;
    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
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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