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Effects of economic policy uncertainty shocks on the interdependence between Bitcoin and traditional financial markets

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  • Matkovskyy, Roman
  • Jalan, Akanksha
  • Dowling, Michael

Abstract

This paper analyses the effects of economic policy uncertainty (hereafter, EPU) on the relationship between Bitcoin and traditional financial markets during the period 27/04/2015 to 25/10/2018, represented by five stock market indices namely the NASDAQ100, S&P500, Euronext100, FTSE100 and NIKKEI225. EPU is measured in terms of economic policy, monetary policy, financial regulation, taxation policy, and the news-based policy uncertainty index for the U.S., U.K., Europe and Japan. By applying a variety of statistical techniques (multivariate EWMA models, Spearman’s rho, the Diebold and Yilmaz (2012) spill-over index, GAS models with conditional multivariate Student–t distribution and time–varying scales and correlations, BVAR models with the Litterman/ Minnesota priors and nonlinear impulse responses with local projections accounting for different regimes in uncertainty) we estimate interdependence between traditional financial and Bitcoin markets and their reaction to the selected policy shocks. Our findings indicate the investment attractiveness of bitcoin as a hedging tool against shocks in uncertainty in the USA economic policy.

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  • Matkovskyy, Roman & Jalan, Akanksha & Dowling, Michael, 2020. "Effects of economic policy uncertainty shocks on the interdependence between Bitcoin and traditional financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 150-155.
  • Handle: RePEc:eee:quaeco:v:77:y:2020:i:c:p:150-155
    DOI: 10.1016/j.qref.2020.02.004
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    as
    1. Alan J. Auerbach & Yuriy Gorodnichenko, 2012. "Measuring the Output Responses to Fiscal Policy," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 1-27, May.
    2. Wu, Shan & Tong, Mu & Yang, Zhongyi & Derbali, Abdelkader, 2019. "Does gold or Bitcoin hedge economic policy uncertainty?," Finance Research Letters, Elsevier, vol. 31(C), pages 171-178.
    3. Joëts, Marc & Mignon, Valérie & Razafindrabe, Tovonony, 2017. "Does the volatility of commodity prices reflect macroeconomic uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 313-326.
    4. Bakas, Dimitrios & Triantafyllou, Athanasios, 2018. "The impact of uncertainty shocks on the volatility of commodity prices," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 96-111.
    5. Caldara, Dario & Fuentes-Albero, Cristina & Gilchrist, Simon & Zakrajšek, Egon, 2016. "The macroeconomic impact of financial and uncertainty shocks," European Economic Review, Elsevier, vol. 88(C), pages 185-207.
    6. Demir, Ender & Gozgor, Giray & Lau, Chi Keung Marco & Vigne, Samuel A., 2018. "Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation," Finance Research Letters, Elsevier, vol. 26(C), pages 145-149.
    7. Junttila, Juha & Vataja, Juuso, 2018. "Economic policy uncertainty effects for forecasting future real economic activity," Economic Systems, Elsevier, vol. 42(4), pages 569-583.
    8. 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.
    9. Wensheng Kang & Ronald A. Ratti, 2014. "Policy Uncertainty in China, Oil Shocks and Stock Returns," CAMA Working Papers 2014-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Koutmos, Dimitrios, 2018. "Return and volatility spillovers among cryptocurrencies," Economics Letters, Elsevier, vol. 173(C), pages 122-127.
    11. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, Oxford University Press, vol. 131(4), pages 1593-1636.
    12. Gregory Koutmos, 1999. "Asymmetric Price and Volatility Adjustments in Emerging Asian Stock Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(1‐2), pages 83-101, January.
    13. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2013. "Dynamic co-movements of stock market returns, implied volatility and policy uncertainty," Economics Letters, Elsevier, vol. 120(1), pages 87-92.
    14. Marc Joëts & Valérie Mignon & Tovonony Razafindrabe, 2016. "Does the volatility of commodity prices reflect macroeconomic uncertainty?," Post-Print hal-01411654, HAL.
    15. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
    16. Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
    17. Ine Van Robays, 2016. "Macroeconomic Uncertainty and Oil Price Volatility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 671-693, October.
    18. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    19. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    20. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    21. Gregory Koutmos, 1999. "Asymmetric Price and Volatility Adjustments in Emerging Asian Stock Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(1-2), pages 83-101.
    22. Chiang, Thomas C., 2019. "Economic policy uncertainty, risk and stock returns: Evidence from G7 stock markets," Finance Research Letters, Elsevier, vol. 29(C), pages 41-49.
    23. Lobo, Bento J, 2000. "Asymmetric Effects of Interest Rate Changes on Stock Prices," The Financial Review, Eastern Finance Association, vol. 35(3), pages 125-143, August.
    24. Steffen R. Henzel & Malte Rengel, 2017. "Dimensions Of Macroeconomic Uncertainty: A Common Factor Analysis," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 843-877, April.
    25. Jensen, Gerald R. & Johnson, Robert R., 1995. "Discount rate changes and security returns in the U.S., 1962-1991," Journal of Banking & Finance, Elsevier, vol. 19(1), pages 79-95, April.
    26. Matkovskyy, Roman & Jalan, Akanksha, 2019. "From financial markets to Bitcoin markets: A fresh look at the contagion effect," Finance Research Letters, Elsevier, vol. 31(C), pages 93-97.
    27. Panagiotidis, Theodore & Stengos, Thanasis & Vravosinos, Orestis, 2019. "The effects of markets, uncertainty and search intensity on bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 220-242.
    28. Ahmed, M. Iqbal & Cassou, Steven P., 2016. "Does consumer confidence affect durable goods spending during bad and good economic times equally?," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 86-97.
    29. Bilgin, Mehmet Huseyin & Gozgor, Giray & Lau, Chi Keung Marco & Sheng, Xin, 2018. "The effects of uncertainty measures on the price of gold," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 1-7.
    30. Matkovskyy, Roman, 2019. "Centralized and decentralized bitcoin markets: Euro vs USD vs GBP," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 270-279.
    31. Vidal-Tomás, David & Ibañez, Ana, 2018. "Semi-strong efficiency of Bitcoin," Finance Research Letters, Elsevier, vol. 27(C), pages 259-265.
    32. Katsiampa, Paraskevi & Corbet, Shaen & Lucey, Brian, 2019. "Volatility spillover effects in leading cryptocurrencies: A BEKK-MGARCH analysis," Finance Research Letters, Elsevier, vol. 29(C), pages 68-74.
    33. Gozgor, Giray & Lau, Chi Keung Marco & Bilgin, Mehmet Huseyin, 2016. "Commodity markets volatility transmission: Roles of risk perceptions and uncertainty in financial markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 35-45.
    34. 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.
    35. Drew Creal & Siem Jan Koopman & André Lucas, 2013. "Generalized Autoregressive Score Models With Applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(5), pages 777-795, August.
    36. Corbet, Shaen & Lucey, Brian & Peat, Maurice & Vigne, Samuel, 2018. "Bitcoin Futures—What use are they?," Economics Letters, Elsevier, vol. 172(C), pages 23-27.
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    2. Mokni, Khaled & Ajmi, Ahdi Noomen & Bouri, Elie & Vo, Xuan Vinh, 2020. "Economic policy uncertainty and the Bitcoin-US stock nexus," Journal of Multinational Financial Management, Elsevier, vol. 57.

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