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One crash, too many: Global uncertainty, sentiment factors and cryptocurrency market

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  • Sakariyahu, Rilwan
  • Lawal, Rodiat
  • Adigun, Rasheed
  • Paterson, Audrey
  • Johan, Sofia

Abstract

Recent studies document that cryptocurrencies offer an alternative store of value, medium of exchange and can be used to hedge against currency and price fluctuations. However, the frequent collapse of the crypto-market undermines its safe-haven characteristics, as investors’ fear and anxiety could intensify market volatility and trigger a financial crisis. Motivated by the current global vicissitudes, this study examines the impact of uncertainty and sentiment factors on price behaviour of cryptocurrencies. To estimate our model, we used daily, low, high and closing price data for major crypto projects, from January 2018 to January 2023. We show that economic and political uncertainty factors significantly drive crypto prices. Furthermore, the interaction between sentiment dynamics as expressed by investors on different social platforms has a significant adverse effect on the returns of the cryptocurrency market, and the impact is more pronounced for tokens within the same ecosystem. Using the asymmetric GARCH-MIDAS model and TVP-VAR, we also demonstrate the existence of a significant contagion among tokens within the same ecosystem when bad (or good) news occurs. Considering the massive unprotected losses incurred by crypto investors during crises, our results provide important insights into how portfolio managers can effectively design investment strategies.

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  • Sakariyahu, Rilwan & Lawal, Rodiat & Adigun, Rasheed & Paterson, Audrey & Johan, Sofia, 2024. "One crash, too many: Global uncertainty, sentiment factors and cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:intfin:v:94:y:2024:i:c:s1042443124000945
    DOI: 10.1016/j.intfin.2024.102028
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    as
    1. Jun Pan & Allen M. Poteshman, 2006. "The Information in Option Volume for Future Stock Prices," The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 871-908.
    2. Akyildirim, Erdinc & Aysan, Ahmet Faruk & Cepni, Oguzhan & Darendeli, S. Pinar Ceyhan, 2021. "Do investor sentiments drive cryptocurrency prices?," Economics Letters, Elsevier, vol. 206(C).
    3. 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.
    4. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    5. Jinliang Li & Jeffery A. Born, 2006. "Presidential Election Uncertainty And Common Stock Returns In The United States," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 29(4), pages 609-622, December.
    6. Aït-Sahalia, Yacine & Li, Chenxu & Li, Chen Xu, 2021. "Closed-form implied volatility surfaces for stochastic volatility models with jumps," Journal of Econometrics, Elsevier, vol. 222(1), pages 364-392.
    7. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    8. Sakariyahu, Rilwan & Johan, Sofia & Lawal, Rodiat & Paterson, Audrey & Chatzivgeri, Eleni, 2023. "Dynamic connectedness between investors’ sentiment and asset prices: A comparison between major markets in Europe and USA," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    9. Ansgar Belke & Irina Dubova & Thomas Osowski, 2018. "Policy uncertainty and international financial markets: the case of Brexit," Applied Economics, Taylor & Francis Journals, vol. 50(34-35), pages 3752-3770, July.
    10. Deven Bathia & Don Bredin & Dirk Nitzsche, 2016. "International Sentiment Spillovers in Equity Returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 332-359, October.
    11. Doug Waggle & Pankaj Agrrawal, 2015. "Investor Sentiment and Short-Term Returns for Size-Adjusted Value and Growth Portfolios," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 16(1), pages 81-93, January.
    12. Ambrogio Cesa-Bianchi & M Hashem Pesaran & Alessandro Rebucci & Stijn Van Nieuwerburgh, 2020. "Uncertainty and Economic Activity: A Multicountry Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 33(8), pages 3393-3445.
    13. 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).
    14. Alessandro Girardi & Andreas Reuter, 2017. "New uncertainty measures for the euro area using survey data," Oxford Economic Papers, Oxford University Press, vol. 69(1), pages 278-300.
    15. Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015. "Investor Sentiment Aligned: A Powerful Predictor of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 791-837.
    16. Pan, Zhiyuan & Liu, Li, 2018. "Forecasting stock return volatility: A comparison between the roles of short-term and long-term leverage effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 168-180.
    17. Walther, Thomas & Klein, Tony & Bouri, Elie, 2019. "Exogenous drivers of Bitcoin and Cryptocurrency volatility – A mixed data sampling approach to forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    18. Batabyal, Sourav & Killins, Robert, 2021. "Economic policy uncertainty and stock market returns: Evidence from Canada," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    19. Giancarlo Giudici & Alistair Milne & Dmitri Vinogradov, 2020. "Cryptocurrencies: market analysis and perspectives," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 1-18, March.
    20. Liu, Laura Xiaolei & Shu, Haibing & Wei, K.C. John, 2017. "The impacts of political uncertainty on asset prices: Evidence from the Bo scandal in China," Journal of Financial Economics, Elsevier, vol. 125(2), pages 286-310.
    21. 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.
    22. Rapach, David E. & Ringgenberg, Matthew C. & Zhou, Guofu, 2016. "Short interest and aggregate stock returns," Journal of Financial Economics, Elsevier, vol. 121(1), pages 46-65.
    23. 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.
    24. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    25. 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.
    26. Moll, Jodie & Yigitbasioglu, Ogan, 2019. "The role of internet-related technologies in shaping the work of accountants: New directions for accounting research," The British Accounting Review, Elsevier, vol. 51(6).
    27. Marie Briere & Kim Oosterlinck & Ariane Szafarz, 2015. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoins," Post-Print CEB, ULB -- Universite Libre de Bruxelles, vol. 16(6), pages 365-373.
    28. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    29. 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.
    30. Bouri, Elie & Kamal, Elham & Kinateder, Harald, 2023. "FTX Collapse and systemic risk spillovers from FTX Token to major cryptocurrencies," Finance Research Letters, Elsevier, vol. 56(C).
    31. Gagnon, Louis & Karolyi, G. Andrew, 2009. "Information, Trading Volume, and International Stock Return Comovements: Evidence from Cross-Listed Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 953-986, August.
    32. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    33. Wang, Jiqian & Lu, Xinjie & He, Feng & Ma, Feng, 2020. "Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    34. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    35. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    36. Masayuki Morikawa, 2019. "Dispersion and volatility of TFPQ and TFPR: findings from three service industries," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(6), pages 1515-1531.
    37. Jalan, Akanksha & Matkovskyy, Roman, 2023. "Systemic risks in the cryptocurrency market: Evidence from the FTX collapse," Finance Research Letters, Elsevier, vol. 53(C).
    38. Altig, Dave & Baker, Scott & Barrero, Jose Maria & Bloom, Nicholas & Bunn, Philip & Chen, Scarlet & Davis, Steven J. & Leather, Julia & Meyer, Brent & Mihaylov, Emil & Mizen, Paul & Parker, Nicholas &, 2020. "Economic uncertainty before and during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    39. Barbara Rossi & Tatevik Sekhposyan, 2015. "Macroeconomic Uncertainty Indices Based on Nowcast and Forecast Error Distributions," American Economic Review, American Economic Association, vol. 105(5), pages 650-655, May.
    40. Belo, Frederico & Gala, Vito D. & Li, Jun, 2013. "Government spending, political cycles, and the cross section of stock returns," Journal of Financial Economics, Elsevier, vol. 107(2), pages 305-324.
    41. Liao, Tsai-Ling & Huang, Chih-Jen & Wu, Chieh-Yuan, 2011. "Do fund managers herd to counter investor sentiment?," Journal of Business Research, Elsevier, vol. 64(2), pages 207-212, February.
    42. Yen, Kuang-Chieh & Cheng, Hui-Pei, 2021. "Economic policy uncertainty and cryptocurrency volatility," Finance Research Letters, Elsevier, vol. 38(C).
    43. Renault, Thomas, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 25-40.
    44. Haiqiang Chen & Terence Tai Leung Chong & Yingni She, 2014. "A principal component approach to measuring investor sentiment in China," Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 573-579, April.
    45. Urquhart, Andrew & Zhang, Hanxiong, 2019. "Is Bitcoin a hedge or safe haven for currencies? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 49-57.
    46. Elsayed, Ahmed H. & Gozgor, Giray & Lau, Chi Keung Marco, 2022. "Risk transmissions between bitcoin and traditional financial assets during the COVID-19 era: The role of global uncertainties," International Review of Financial Analysis, Elsevier, vol. 81(C).
    47. Xu, Hai-Chuan & Zhou, Wei-Xing, 2018. "A weekly sentiment index and the cross-section of stock returns," Finance Research Letters, Elsevier, vol. 27(C), pages 135-139.
    48. Chen, Rongda & Wang, Shengnan & Jin, Chenglu & Yu, Jingjing & Zhang, Xinyu & Zhang, Shuonan, 2023. "Comovements between multidimensional investor sentiment and returns on internet financial products," International Review of Financial Analysis, Elsevier, vol. 85(C).
    49. José Benito Hernández C. & Andrés García-Medina & Miguel Andrés Porro V., 2021. "Study of the Behavior of Cryptocurrencies in Turbulent Times Using Association Rules," Mathematics, MDPI, vol. 9(14), pages 1-23, July.
    50. Zhang, Dayong & Broadstock, David C., 2020. "Global financial crisis and rising connectedness in the international commodity markets," International Review of Financial Analysis, Elsevier, vol. 68(C).
    51. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    52. Platanakis, Emmanouil & Urquhart, Andrew, 2020. "Should investors include Bitcoin in their portfolios? A portfolio theory approach," The British Accounting Review, Elsevier, vol. 52(4).
    53. Roger G. Clarke & Meir Statman, 1998. "Bullish or Bearish?," Financial Analysts Journal, Taylor & Francis Journals, vol. 54(3), pages 63-72, May.
    54. Kenneth L. Fisher & Meir Statman, 2000. "Investor Sentiment and Stock Returns," Financial Analysts Journal, Taylor & Francis Journals, vol. 56(2), pages 16-23, March.
    55. Thomas Renault, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03205113, HAL.
    56. Shefrin, Hersh & Statman, Meir, 2000. "Behavioral Portfolio Theory," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(2), pages 127-151, June.
    57. Lucey, Brian M. & Vigne, Samuel A. & Yarovaya, Larisa & Wang, Yizhi, 2022. "The cryptocurrency uncertainty index," Finance Research Letters, Elsevier, vol. 45(C).
    58. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    59. Chan, Kam Fong & Marsh, Terry, 2021. "Asset prices, midterm elections, and political uncertainty," Journal of Financial Economics, Elsevier, vol. 141(1), pages 276-296.
    60. Chung, San-Lin & Hung, Chi-Hsiou & Yeh, Chung-Ying, 2012. "When does investor sentiment predict stock returns?," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 217-240.
    61. Zhang, Yongjie & Zhang, Yuzhao & Shen, Dehua & Zhang, Wei, 2017. "Investor sentiment and stock returns: Evidence from provincial TV audience rating in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 288-294.
    62. Ho, Chienwei & Hung, Chi-Hsiou, 2009. "Investor sentiment as conditioning information in asset pricing," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 892-903, May.
    63. Gabriele Ranco & Darko Aleksovski & Guido Caldarelli & Miha Grčar & Igor Mozetič, 2015. "The Effects of Twitter Sentiment on Stock Price Returns," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-21, September.
    64. Kalyvas, Antonios & Papakyriakou, Panayiotis & Sakkas, Athanasios & Urquhart, Andrew, 2020. "What drives Bitcoin’s price crash risk?," Economics Letters, Elsevier, vol. 191(C).
    65. Jonathan Brogaard & Lili Dai & Phong T H Ngo & Bohui Zhang, 2020. "Global Political Uncertainty and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1737-1780.
    66. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Larkin, Charles & Oxley, Les, 2020. "Any port in a storm: Cryptocurrency safe-havens during the COVID-19 pandemic," Economics Letters, Elsevier, vol. 194(C).
    67. Ms. Marwa Alnasaa & Nikolay Gueorguiev & Mr. Jiro Honda & Eslem Imamoglu & Mr. Paolo Mauro & Keyra Primus & Mr. Dmitriy L Rozhkov, 2022. "Crypto, Corruption, and Capital Controls: Cross-Country Correlations," IMF Working Papers 2022/060, International Monetary Fund.
    68. Jonathan Brogaard & Lili Dai & Phong T H Ngo & Bohui Zhang, 2020. "Global Political Uncertainty and Asset Prices," Review of Finance, European Finance Association, vol. 33(4), pages 1737-1780.
    69. Alan Moreira & Tyler Muir, 2017. "Volatility-Managed Portfolios," Journal of Finance, American Finance Association, vol. 72(4), pages 1611-1644, August.
    70. Thomas J. Fisher & Colin M. Gallagher, 2012. "New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 777-787, June.
    71. Alnasaa, Marwa & Gueorguiev, Nikolay & Honda, Jiro & Imamoglu, Eslem & Mauro, Paolo & Primus, Keyra & Rozhkov, Dmitriy, 2022. "Crypto-assets, corruption, and capital controls: Cross-country correlations," Economics Letters, Elsevier, vol. 215(C).
    72. Dosumu, Oluwatoyin Esther & Sakariyahu, Rilwan & Oyekola, Olayinka & Lawal, Rodiat, 2023. "Panic bank runs, global market contagion and the financial consequences of social media," Economics Letters, Elsevier, vol. 228(C).
    73. Chen, Shiu-Sheng, 2012. "Revisiting the empirical linkages between stock returns and trading volume," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1781-1788.
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    More about this item

    Keywords

    Cryptocurrencies; Economic uncertainty; Political uncertainty; Investor sentiment; Contagion;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • G0 - Financial Economics - - General
    • G3 - Financial Economics - - Corporate Finance and Governance

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