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Asymmetric effects of global factors on return of cryptocurrencies by novel nonlinear quantile approaches

Author

Listed:
  • Mustafa Tevfik Kartal

    (Financial Reporting, and Investor Relations Directorate)

  • Mustafa Kevser

    (Bandırma Onyedi Eylül University)

  • Fatih Ayhan

    (Bandırma Onyedi Eylül University)

Abstract

This study examines the asymmetric effects of global factors on the returns of cryptocurrencies. In this context, the study focuses on Bitcoin, Ethereum, and Ripple as top-traded cryptocurrencies, considers eight global factors, and uses high-frequency (i.e., daily) data between February 8, 2018, and June 21, 2022. Also, the study applies nonparametric causality in quantiles (NCQ) and quantile-on-quantile regression (QQR) as the main models and quantile regression (QR) as the robustness model. The empirical findings reveal that (i) effects of global factors on the returns of cryptocurrencies are asymmetric and generally positive; (ii) there are nonparametric causal effects from global factors to cryptocurrencies for return and volatility in most quantiles excluding some lower and higher quantiles; (iii) effects of the global factors on cryptocurrencies differentiate according to global factors, cryptocurrencies, and quantiles; (iv) the QR results confirm the robustness of the empirical findings; and (v) overall, the outcomes underline the asymmetric and varying effects of global factors on the returns of cryptocurrencies across quantiles. Hence, the results imply that traders and investors should consider the asymmetric effects of global factors on the returns of cryptocurrencies for trading, investment, and hedging purposes. Moreover, some policy recommendations are proposed.

Suggested Citation

  • Mustafa Tevfik Kartal & Mustafa Kevser & Fatih Ayhan, 2023. "Asymmetric effects of global factors on return of cryptocurrencies by novel nonlinear quantile approaches," Economic Change and Restructuring, Springer, vol. 56(3), pages 1515-1535, June.
    • Handle: RePEc:kap:ecopln:v:56:y:2023:i:3:d:10.1007_s10644-023-09484-x
    DOI: 10.1007/s10644-023-09484-x
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    References listed on IDEAS

    as
    1. Elsayed, Ahmed H. & Gozgor, Giray & Yarovaya, Larisa, 2022. "Volatility and return connectedness of cryptocurrency, gold, and uncertainty: Evidence from the cryptocurrency uncertainty indices," Finance Research Letters, Elsevier, vol. 47(PB).
    2. Md Hakim Ali & Christophe Schinckus & Md Akther Uddin & Saeed Pahlevansharif, 2022. "Asymmetric effects of economic policy uncertainty on Bitcoin’s hedging power," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 40(2), pages 213-229, May.
    3. Ghabri, Yosra & Ben Rhouma, Oussama & Gana, Marjène & Guesmi, Khaled & Benkraiem, Ramzi, 2022. "Information transmission among energy markets, cryptocurrencies, and stablecoins under pandemic conditions," International Review of Financial Analysis, Elsevier, vol. 82(C).
    4. Syed Jawad Hussain Shahzad & Elie Bouri & Mobeen Ur Rehman & David Roubaud, 2022. "The hedge asset for BRICS stock markets: Bitcoin, gold or VIX," The World Economy, Wiley Blackwell, vol. 45(1), pages 292-316, January.
    5. Yhlas Sovbetov, 2018. "Factors Influencing Cryptocurrency Prices: Evidence from Bitcoin, Ethereum, Dash, Litcoin, and Monero," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 2(2), pages 1-27.
    6. Jareño, Francisco & González, María de la O & Tolentino, Marta & Sierra, Karen, 2020. "Bitcoin and gold price returns: A quantile regression and NARDL analysis," Resources Policy, Elsevier, vol. 67(C).
    7. Laura Alessandretti & Abeer ElBahrawy & Luca Maria Aiello & Andrea Baronchelli, 2018. "Anticipating cryptocurrency prices using machine learning," Papers 1805.08550, arXiv.org, revised Nov 2018.
    8. Li, Dongxin & Hong, Yanran & Wang, Lu & Xu, Pengfei & Pan, Zhigang, 2022. "Extreme risk transmission among bitcoin and crude oil markets," Resources Policy, Elsevier, vol. 77(C).
    9. Elie Bouri & Rangan Gupta & Xuan Vinh Vo, 2022. "Jumps in Geopolitical Risk and the Cryptocurrency Market: The Singularity of Bitcoin," Defence and Peace Economics, Taylor & Francis Journals, vol. 33(2), pages 150-161, February.
    10. 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.
    11. Bouri, Elie & Azzi, Georges & Dyhrberg, Anne Haubo, 2017. "On the return-volatility relationship in the Bitcoin market around the price crash of 2013," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-16.
    12. Bouri, Elie & Saeed, Tareq & Vo, Xuan Vinh & Roubaud, David, 2021. "Quantile connectedness in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    13. Rama K. Malladi & Prakash L. Dheeriya, 2021. "Time series analysis of Cryptocurrency returns and volatilities," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(1), pages 75-94, January.
    14. Sofiane Aboura, 2022. "A note on the Bitcoin and Fed Funds rate," Empirical Economics, Springer, vol. 63(5), pages 2577-2603, November.
    15. Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
    16. Yosra Ghabri & Oussama Ben Rhouma & Marjène Gana & Khaled Guesmi & Ramzi Benkraiem, 2022. "Information transmission among energy markets, cryptocurrencies, and stablecoins under pandemic conditions," Post-Print hal-03674802, HAL.
    17. Balcilar, Mehmet & Gupta, Rangan & Pierdzioch, Christian, 2016. "Does uncertainty move the gold price? New evidence from a nonparametric causality-in-quantiles test," Resources Policy, Elsevier, vol. 49(C), pages 74-80.
    18. Benigno, Pierpaolo & Schilling, Linda M. & Uhlig, Harald, 2022. "Cryptocurrencies, currency competition, and the impossible trinity," Journal of International Economics, Elsevier, vol. 136(C).
    19. Maitra, Debasish & Ur Rehman, Mobeen & Ranjan Dash, Saumya & Hoon Kang, Sang, 2022. "Do cryptocurrencies provide better hedging? Evidence from major equity markets during COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    20. Kakinaka, Shinji & Umeno, Ken, 2022. "Cryptocurrency market efficiency in short- and long-term horizons during COVID-19: An asymmetric multifractal analysis approach," Finance Research Letters, Elsevier, vol. 46(PA).
    21. Cheng, Hui-Pei & Yen, Kuang-Chieh, 2020. "The relationship between the economic policy uncertainty and the cryptocurrency market," Finance Research Letters, Elsevier, vol. 35(C).
    22. Das, Debojyoti & Dutta, Anupam, 2020. "Bitcoin’s energy consumption: Is it the Achilles heel to miner’s revenue?," Economics Letters, Elsevier, vol. 186(C).
    23. Jiang, Yonghong & Lie, Jiayi & Wang, Jieru & Mu, Jinqi, 2021. "Revisiting the roles of cryptocurrencies in stock markets: A quantile coherency perspective," Economic Modelling, Elsevier, vol. 95(C), pages 21-34.
    24. Zhang, Shuai & Hou, Xinyu & Ba, Shusong, 2021. "What determines interest rates for bitcoin lending?," Research in International Business and Finance, Elsevier, vol. 58(C).
    25. 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).
    26. Yen, Kuang-Chieh & Cheng, Hui-Pei, 2021. "Economic policy uncertainty and cryptocurrency volatility," Finance Research Letters, Elsevier, vol. 38(C).
    27. Gurdgiev, Constantin & O’Loughlin, Daniel, 2020. "Herding and anchoring in cryptocurrency markets: Investor reaction to fear and uncertainty," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    28. Wei Zhang & Pengfei Wang, 2020. "Investor attention and the pricing of cryptocurrency market," Evolutionary and Institutional Economics Review, Springer, vol. 17(2), pages 445-468, July.
    29. Nakagawa, Kei & Sakemoto, Ryuta, 2022. "Cryptocurrency network factors and gold," Finance Research Letters, Elsevier, vol. 46(PB).
    30. Das, Debojyoti & Le Roux, Corlise Liesl & Jana, R.K. & Dutta, Anupam, 2020. "Does Bitcoin hedge crude oil implied volatility and structural shocks? A comparison with gold, commodity and the US Dollar," Finance Research Letters, Elsevier, vol. 36(C).
    31. Wang, Hao & Wang, Xiaoqian & Yin, Siyuan & Ji, Hao, 2022. "The asymmetric contagion effect between stock market and cryptocurrency market," Finance Research Letters, Elsevier, vol. 46(PA).
    32. Kristoufek, Ladislav & Vosvrda, Miloslav, 2019. "Cryptocurrencies market efficiency ranking: Not so straightforward," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    33. Sabah, Nasim, 2020. "Cryptocurrency accepting venues, investor attention, and volatility," Finance Research Letters, Elsevier, vol. 36(C).
    34. Huang, Guan-Ying & Gau, Yin-Feng & Wu, Zhen-Xing, 2022. "Price discovery in fiat currency and cryptocurrency markets," Finance Research Letters, Elsevier, vol. 47(PA).
    35. Dyhrberg, Anne Haubo, 2016. "Bitcoin, gold and the dollar – A GARCH volatility analysis," Finance Research Letters, Elsevier, vol. 16(C), pages 85-92.
    36. Kyriazis, Nikolaos & Papadamou, Stephanos & Corbet, Shaen, 2020. "A systematic review of the bubble dynamics of cryptocurrency prices," Research in International Business and Finance, Elsevier, vol. 54(C).
    37. Νikolaos A. Kyriazis, 2021. "The effects of geopolitical uncertainty on cryptocurrencies and other financial assets," SN Business & Economics, Springer, vol. 1(1), pages 1-14, January.
    38. Mohamed Fakhfekh & Ahmed Jeribi & Ahmed Ghorbel & Nejib Hachicha, 2021. "Hedging stock market prices with WTI, Gold, VIX and cryptocurrencies: a comparison between DCC, ADCC and GO-GARCH models," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 18(4), pages 978-1006, June.
    39. Leirvik, Thomas, 2022. "Cryptocurrency returns and the volatility of liquidity," Finance Research Letters, Elsevier, vol. 44(C).
    40. Ren, Xiaohang & Wang, Rui & Duan, Kun & Chen, Jinyu, 2022. "Dynamics of the sheltering role of Bitcoin against crude oil market crash with varying severity of the COVID-19: A comparison with gold," Research in International Business and Finance, Elsevier, vol. 62(C).
    41. David Y. Aharon & Zaghum Umar & Xuan Vinh Vo, 2021. "Dynamic spillovers between the term structure of interest rates, bitcoin, and safe-haven currencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-25, December.
    42. 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.
    43. Carmen López-Martín & Sonia Benito Muela & Raquel Arguedas, 2021. "Efficiency in cryptocurrency markets: new evidence," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 403-431, September.
    44. Dyhrberg, Anne H. & Foley, Sean & Svec, Jiri, 2018. "How investible is Bitcoin? Analyzing the liquidity and transaction costs of Bitcoin markets," Economics Letters, Elsevier, vol. 171(C), pages 140-143.
    45. Urquhart, Andrew, 2022. "Under the hood of the Ethereum blockchain," Finance Research Letters, Elsevier, vol. 47(PA).
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    More about this item

    Keywords

    Cryptocurrencies; Global factors; Return; Volatility; NCQ; QQR;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F30 - International Economics - - International Finance - - - General
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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