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Categorical uncertainty in policy and bitcoin volatility

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  • Wang, Qingyu
  • Huang, Qing
  • Wu, Xiangfang
  • Tan, Jin
  • Sun, Panxu

Abstract

Researchers are investigating whether Bitcoin exhibits haven properties during uncertainty. However, this notion often neglects various forms of uncertainty crucial to investors. In our study, we classify policy uncertainty into two categories: fiscal policy-related uncertainty and monetary policy-related uncertainty. We employ the GARCH-MIDAS model to examine the influence of two types of uncertainty on Bitcoin's volatility. We find that Bitcoin's volatility is significantly positively correlated with uncertainty related to fiscal policy. Conversely, a notable inverse relationship exists between Bitcoin's volatility and uncertainty tied to monetary policy. Our conclusion remains held when we execute a multi-variable GARCH-MIDAS model with variable selection.

Suggested Citation

  • Wang, Qingyu & Huang, Qing & Wu, Xiangfang & Tan, Jin & Sun, Panxu, 2023. "Categorical uncertainty in policy and bitcoin volatility," Finance Research Letters, Elsevier, vol. 58(PC).
  • Handle: RePEc:eee:finlet:v:58:y:2023:i:pc:s154461232301036x
    DOI: 10.1016/j.frl.2023.104664
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    References listed on IDEAS

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    1. Raza, Syed Ali & Khan, Komal Akram & Guesmi, Khaled & Benkraiem, Ramzi, 2023. "Uncertainty in the financial regulation policy and the boom of cryptocurrencies," Finance Research Letters, Elsevier, vol. 52(C).
    2. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    3. Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
    4. Orlov, George & McKee, Douglas & Berry, James & Boyle, Austin & DiCiccio, Thomas & Ransom, Tyler & Rees-Jones, Alex & Stoye, Jörg, 2021. "Learning during the COVID-19 pandemic: It is not who you teach, but how you teach," Economics Letters, Elsevier, vol. 202(C).
    5. Dan Rickman & Hongbo Wang, 2020. "U.S. State And Local Fiscal Policy And Economic Activity: Do We Know More Now?," Journal of Economic Surveys, Wiley Blackwell, vol. 34(2), pages 424-465, April.
    6. Wu, Chang-Che & Ho, Shu-Ling & Wu, Chih-Chiang, 2022. "The determinants of Bitcoin returns and volatility: Perspectives on global and national economic policy uncertainty," Finance Research Letters, Elsevier, vol. 45(C).
    7. Huang, Yingying & Duan, Kun & Mishra, Tapas, 2021. "Is Bitcoin really more than a diversifier? A pre- and post-COVID-19 analysis," Finance Research Letters, Elsevier, vol. 43(C).
    8. Yen, Kuang-Chieh & Cheng, Hui-Pei, 2021. "Economic policy uncertainty and cryptocurrency volatility," Finance Research Letters, Elsevier, vol. 38(C).
    9. Conlon, Thomas & McGee, Richard, 2020. "Safe haven or risky hazard? Bitcoin during the Covid-19 bear market," Finance Research Letters, Elsevier, vol. 35(C).
    10. Corbet, Shaen & Hou, Yang & Hu, Yang & Lucey, Brian & Oxley, Les, 2021. "Aye Corona! The contagion effects of being named Corona during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 38(C).
    11. Priti Dubey, 2022. "Short-run and long-run determinants of bitcoin returns: transnational evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 14(4), pages 533-544, June.
    12. Dyhrberg, Anne Haubo, 2016. "Hedging capabilities of bitcoin. Is it the virtual gold?," Finance Research Letters, Elsevier, vol. 16(C), pages 139-144.
    13. Aysan, Ahmet Faruk & Demir, Ender & Gozgor, Giray & Lau, Chi Keung Marco, 2019. "Effects of the geopolitical risks on Bitcoin returns and volatility," Research in International Business and Finance, Elsevier, vol. 47(C), pages 511-518.
    14. Ji, Qiang & Zhang, Dayong & Zhao, Yuqian, 2020. "Searching for safe-haven assets during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 71(C).
    15. Gozgor, Giray & Tiwari, Aviral Kumar & Demir, Ender & Akron, Sagi, 2019. "The relationship between Bitcoin returns and trade policy uncertainty," Finance Research Letters, Elsevier, vol. 29(C), pages 75-82.
    16. Robert F. Engle & Eric Ghysels & Bumjean Sohn, 2013. "Stock Market Volatility and Macroeconomic Fundamentals," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 776-797, July.
    17. Enock Nyorekwa Twinoburyo & Nicholas M. Odhiambo, 2018. "Monetary Policy and Economic Growth: A Review of International Literature," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 7(2), pages 123-137.
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    1. Liu, Ke & Fu, Qiang & Ma, Qing & Ren, Xiang, 2024. "Does geopolitical risk affect exports? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1558-1569.

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