IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v82y2025ics154461232500710x.html

Dual asymmetries in Bitcoin

Author

Listed:
  • Tsuji, Chikashi

Abstract

This study aims to uncover dual asymmetries in Bitcoin by comparing it with the S&P 500. To achieve this goal, we utilized the fully unified GARCH model, which incorporates return-variance asymmetry, skew-GED errors, and structural breaks. Our comparative analysis using weekly data from 2010 to 2024 has revealed the following new findings. First, our fully unified GARCH model was effective in estimating the volatilities of both Bitcoin and the S&P 500. Furthermore, our analysis reveals that the return residuals of Bitcoin exhibit positive skewness, in contrast to the negative skewness observed in the S&P 500, suggesting a remarkable asymmetry in Bitcoin. Additionally, our analysis also discovers a positive relationship between one-week lagged returns and volatilities of Bitcoin, contrasting with the negative relation seen in the S&P 500, suggesting another striking asymmetry in Bitcoin.

Suggested Citation

  • Tsuji, Chikashi, 2025. "Dual asymmetries in Bitcoin," Finance Research Letters, Elsevier, vol. 82(C).
  • Handle: RePEc:eee:finlet:v:82:y:2025:i:c:s154461232500710x
    DOI: 10.1016/j.frl.2025.107450
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S154461232500710X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2025.107450?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Luan, Yunpeng & Ye, Shili & Li, Yanmei & Jia, Lu & Yue, Xiao-Guang, 2022. "Revisiting natural resources volatility via TGARCH and EGARCH," Resources Policy, Elsevier, vol. 78(C).
    2. Wu, Guojun, 2001. "The Determinants of Asymmetric Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 14(3), pages 837-859.
    3. Farooq Malik, 2022. "Volatility spillover among sector equity returns under structural breaks," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1063-1080, April.
    4. Tsuji, Chikashi, 2018. "Return transmission and asymmetric volatility spillovers between oil futures and oil equities: New DCC-MEGARCH analyses," Economic Modelling, Elsevier, vol. 74(C), pages 167-185.
    5. Yen, Kuang-Chieh & Nie, Wei-Ying & Chang, Hsuan-Ling & Chang, Li-Han, 2023. "Cryptocurrency return dependency and economic policy uncertainty," Finance Research Letters, Elsevier, vol. 56(C).
    6. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    7. Bruno Biais & Christophe Bisière & Matthieu Bouvard & Catherine Casamatta & Albert J. Menkveld, 2023. "Equilibrium Bitcoin Pricing," Journal of Finance, American Finance Association, vol. 78(2), pages 967-1014, April.
    8. Sapkota, Niranjan, 2022. "News-based sentiment and bitcoin volatility," International Review of Financial Analysis, Elsevier, vol. 82(C).
    9. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    10. Wajid Alim & Naqib Ullah Khan & Vince Wanhao Zhang & Helen Huifen Cai & Alexey Mikhaylov & Qiong Yuan, 2024. "Influence of political stability on the stock market returns and volatility: GARCH and EGARCH approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-17, December.
    11. Grobys, Klaus, 2024. "No reward—no effort: Will Bitcoin collapse near to the year 2140?," Finance Research Letters, Elsevier, vol. 63(C).
    12. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    13. Panayiotis Theodossiou, 2015. "Skewed Generalized Error Distribution of Financial Assets and Option Pricing," Multinational Finance Journal, Multinational Finance Journal, vol. 19(4), pages 223-266, December.
    14. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    15. Abakah, Emmanuel Joel Aikins & Gil-Alana, Luis Alberiko & Madigu, Godfrey & Romero-Rojo, Fatima, 2020. "Volatility persistence in cryptocurrency markets under structural breaks," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 680-691.
    16. Han, SeungOh, 2024. "Nonlinear relationship between cryptocurrency returns and price sensitivity to market uncertainty," Finance Research Letters, Elsevier, vol. 68(C).
    17. Carol Alexander & Daniel F. Heck & Andreas Kaeck, 2022. "The Role of Binance in Bitcoin Volatility Transmission," Applied Mathematical Finance, Taylor & Francis Journals, vol. 29(1), pages 1-32, January.
    18. Chikashi Tsuji, 2016. "Does the fear gauge predict downside risk more accurately than econometric models? Evidence from the US stock market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1220711-122, December.
    19. Bajra, Ujkan Q. & Aliu, Florin, 2023. "Deciphering the cryptocurrency conundrum: Investigating speculative characteristics and volatility," Finance Research Letters, Elsevier, vol. 58(PC).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marti, Robert & Reimat, Anne, 2025. "Bitcoin and global stock portfolio: Dynamics across short and long-term horizons," Finance Research Letters, Elsevier, vol. 86(PG).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chikashi Tsuji, 2025. "The risk–return trade-off of Bitcoin: Evidence from regime-switching analysis," Future Business Journal, Springer, vol. 11(1), pages 1-25, December.
    2. Christos Floros & Konstantinos Gkillas & Christoforos Konstantatos & Athanasios Tsagkanos, 2020. "Realized Measures to Explain Volatility Changes over Time," JRFM, MDPI, vol. 13(6), pages 1-19, June.
    3. Ender Su & John Bilson, 2011. "Trading asymmetric trend and volatility by leverage trend GARCH in Taiwan stock index," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3891-3905.
    4. Rituparna Sen & Pulkit Mehrotra, 2016. "Modeling Jumps and Volatility of the Indian Stock Market Using High-Frequency Data," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(1), pages 137-150, June.
    5. Li, Qi & Yang, Jian & Hsiao, Cheng & Chang, Young-Jae, 2005. "The relationship between stock returns and volatility in international stock markets," Journal of Empirical Finance, Elsevier, vol. 12(5), pages 650-665, December.
    6. Ederington, Louis H. & Guan, Wei, 2010. "How asymmetric is U.S. stock market volatility?," Journal of Financial Markets, Elsevier, vol. 13(2), pages 225-248, May.
    7. Shively, Philip A., 2007. "Asymmetric temporary and permanent stock-price innovations," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 120-130, January.
    8. Choi, Jaewon & Richardson, Matthew, 2016. "The volatility of a firm's assets and the leverage effect," Journal of Financial Economics, Elsevier, vol. 121(2), pages 254-277.
    9. Bohl, Martin T. & Brzeszczynski, Janusz, 2006. "Do institutional investors destabilize stock prices? evidence from an emerging market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(4), pages 370-383, October.
    10. Luis Alberiko & OlaOluwa S. Yaya & Olarenwaju I. Shittu, 2015. "Fractional integration and asymmetric volatility in european, asian and american bull and bear markets. Applications to high frequency stock data," NCID Working Papers 07/2015, Navarra Center for International Development, University of Navarra.
    11. Corbet, Shaen & Dunne, John James & Larkin, Charles, 2019. "Quantitative easing announcements and high-frequency stock market volatility: Evidence from the United States," Research in International Business and Finance, Elsevier, vol. 48(C), pages 321-334.
    12. Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel & Doğan, Buhari & Adekoya, Oluwasegun B. & Wohar, Mark, 2024. "Asymmetric spillover effects in energy markets," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 470-502.
    13. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2016. "Asymmetric connectedness on the U.S. stock market: Bad and good volatility spillovers," Journal of Financial Markets, Elsevier, vol. 27(C), pages 55-78.
    14. Carl Chiarella & Boda Kang & Christina Sklibosios Nikitopoulos & Thuy‐Duong Tô, 2016. "The Return–Volatility Relation in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(2), pages 127-152, February.
    15. Zhou, Jian, 2016. "A high-frequency analysis of the interactions between REIT return and volatility," Economic Modelling, Elsevier, vol. 56(C), pages 102-108.
    16. Jaeun Shin, 2005. "Stock Returns and Volatility in Emerging Stock Markets," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 4(1), pages 31-43, April.
    17. Wu, Guojun & Xiao, Zhijie, 2002. "A generalized partially linear model of asymmetric volatility," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 287-319, August.
    18. Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "Volatility spillovers and other dynamics between cryptocurrencies and the energy and bond markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 1-13.
    19. Karim, Muhammad Mahmudul & Kawsar, Najmul Haque & Ariff, Mohamed & Masih, Mansur, 2022. "Does implied volatility (or fear index) affect Islamic stock returns and conventional stock returns differently? Wavelet-based granger-causality, asymmetric quantile regression and NARDL approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    20. Doojin RYU & Hyein SHIM, 2017. "Intraday Dynamics of Asset Returns, Trading Activities, and Implied Volatilities: A Trivariate GARCH Framework," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 45-61, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:82:y:2025:i:c:s154461232500710x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.