IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v12y2024i4p67-d1375768.html
   My bibliography  Save this article

Risk Management in the Area of Bitcoin Market Development: Example from the USA

Author

Listed:
  • Laeeq Razzak Janjua

    (Faculty of Science, WSB University, 41-300 Dąbrowa Górnicza, Poland)

  • Iza Gigauri

    (School of Business, Computing and Social Sciences, St. Andrew the First-Called Georgian University, Tbilisi 0179, Georgia
    Women Researchers Council, Azerbaijan State University of Economics (UNEC), Baku AZ1001, Azerbaijan)

  • Agnieszka Wójcik-Czerniawska

    (College of Management and Finance, Warsaw School of Economics (SGH), 02-554 Warsaw, Poland)

  • Elżbieta Pohulak-Żołędowska

    (Faculty of Economics and Finance, Wroclaw University of Economics and Business, 53-345 Wroclaw, Poland)

Abstract

This paper explores the relationship between Bitcoin returns, the consumer price index, and economic policy uncertainty. Employing the QARDL method, this study examines both short- and long-term dynamics between macroeconomic factors and Bitcoin returns. Our analysis of monthly time series data from January 2011 to November 2023 reveals that volatile US economic policy indicators, such as high economic policy uncertainty, volatile inflation, and rising interest rates, have recently exerted a negative impact on Bitcoin returns. This study shows that these results are true not only for traditional money but also for cryptocurrencies such as Bitcoin, despite their cardinal features. Its decentralized nature, indicating that it has no physical representation, is not tied to any authority or national economy and relies on a complex algorithm to track transactions. Further, it yields volatile returns that depend on macroeconomic indicators.

Suggested Citation

  • Laeeq Razzak Janjua & Iza Gigauri & Agnieszka Wójcik-Czerniawska & Elżbieta Pohulak-Żołędowska, 2024. "Risk Management in the Area of Bitcoin Market Development: Example from the USA," Risks, MDPI, vol. 12(4), pages 1-21, April.
  • Handle: RePEc:gam:jrisks:v:12:y:2024:i:4:p:67-:d:1375768
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/12/4/67/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-9091/12/4/67/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. N. Bloom, 2016. "Fluctuations in uncertainty," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    2. Pesaran, M.H. & Shin, Y., 1995. "An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis," Cambridge Working Papers in Economics 9514, Faculty of Economics, University of Cambridge.
    3. 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.
    4. Shaen Corbet & Charles Larkin & Brian M. Lucey & Andrew Meegan & Larisa Yarovaya, 2020. "The impact of macroeconomic news on Bitcoin returns," The European Journal of Finance, Taylor & Francis Journals, vol. 26(14), pages 1396-1416, September.
    5. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    6. Jonathan Chiu & Thorsten V. Koeppl, 2022. "The economics of cryptocurrency: Bitcoin and beyond," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(4), pages 1762-1798, November.
    7. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980.
    8. Timothy Cogley & Thomas J. Sargent, 2005. "The conquest of US inflation: Learning and robustness to model uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 528-563, April.
    9. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    10. Auboin, Marc & Ruta, Michel, 2011. "The relationship between exchange rates and International Trade: A review of economic literature," WTO Staff Working Papers ERSD-2011-17, World Trade Organization (WTO), Economic Research and Statistics Division.
    Full references (including those not matched with items on IDEAS)

    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. Sushil Kumar Haldar, 2009. "Economic Growth in India Revisited," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 10(1), pages 105-126, January.
    2. Guo, Junjie & Li, Youshu & Shao, Qinglong, 2022. "Cross-category spillover effects of economic policy uncertainty between China and the US: Time and frequency evidence," Journal of Asian Economics, Elsevier, vol. 80(C).
    3. Basakha, Mehdi & Hossein Mohaqeqi Kamal, Seyed, 2019. "Industrial development and social welfare: A case study of Iran," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    4. Ghosh, Soumya Kanti & Nath, Hiranya K., 2023. "What determines private and household savings in India?," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 639-651.
    5. Johannes W. Fedderke & John M. Luiz, 2005. "Does Human Generate Social and Institutional Capital? Exploring Evidence From Time Series Data in a Middle Income Country," Working Papers 029, Economic Research Southern Africa.
    6. Ekaterini Panopoulou, 2005. "A Resolution of the Fisher Effect Puzzle: A Comparison of Estimators," The Institute for International Integration Studies Discussion Paper Series iiisdp067, IIIS.
    7. Ahmed, Khalid, 2015. "The sheer scale of China’s urban renewal and CO2 emissions: Multiple structural breaks, long-run relationship and short-run dynamics," MPRA Paper 71035, University Library of Munich, Germany.
    8. Machava, Agostinho, 2017. "The Macroeconomic Determinants of the Pass-Through from the Market Interest Rate to the Bank Lending Rate in Mozambique," Umeå Economic Studies 954, Umeå University, Department of Economics.
    9. Chowdhury, Rosen & Cook, Steve & Watson, Duncan, 2023. "Reconsidering the relationship between health and income in the UK," Social Science & Medicine, Elsevier, vol. 332(C).
    10. M. Shahe Emran & M. Imam Alam & Forhad Shilpi, 2003. "After the "License Raj": Economic Liberalization and Aggregate Private Investment in India," Development and Comp Systems 0305002, University Library of Munich, Germany, revised 30 Aug 2003.
    11. Waliullah & Mehmood Khan Kakar & Rehmatullah Kakar & Wakeel Khan, 2010. "The Determinants of Pakistan’s Trade Balance: An ARDL Cointegration Approach," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 15(1), pages 1-26, Jan-Jun.
    12. Jayanthakumaran, Kankesu & Verma, Reetu & Liu, Ying, 2012. "CO2 emissions, energy consumption, trade and income: A comparative analysis of China and India," Energy Policy, Elsevier, vol. 42(C), pages 450-460.
    13. Binh Nguyen Quang & Thai‐Ha Le & Canh Nguyen Phuc, 2022. "Influences of uncertainty on the returns and liquidity of cryptocurrencies: Evidence from a portfolio approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2497-2513, April.
    14. Arup Roy & Ranjan DasGupta, 2024. "Economic Development, Energy Consumption, and Environmental Deterioration: A Non-Linear Evidence from India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 22(3), pages 721-747, September.
    15. Muyambiri Brian & Odhiambo Nicholas, 2017. "Financial Development, Savings and Investment in South Africa: A Dynamic Causality Test," Global Economy Journal, De Gruyter, vol. 17(3), pages 1-10, September.
    16. Ingrid Groessl & Artur Tarassow, 2015. "A Microfounded Model of Money Demand Under Uncertainty, and some Empirical Evidence," Macroeconomics and Finance Series 201504, University of Hamburg, Department of Socioeconomics, revised Jan 2018.
    17. Sulaiman, Saidu & Masih, Mansur, 2017. "Is liberalizing finance the game in town for Nigeria ?," MPRA Paper 95569, University Library of Munich, Germany.
    18. Pahlavani, Mosayeb, 2005. "Analysing the Trade-GDP Nexus in Iran: A Bounds Testing Approach," Economics Working Papers wp05-25, School of Economics, University of Wollongong, NSW, Australia.
    19. Thomas Goda & Alejandro Torres, 2013. "Overvaluation of the real exchange rate and the Dutch Disease: the Colombian case," Documentos de Trabajo de Valor Público 10930, Universidad EAFIT.
    20. Sheilla Nyasha & Yvonne Gwenhure & Nicholas M Odhiambo, 2018. "Energy consumption and economic growth in Ethiopia: A dynamic causal linkage," Energy & Environment, , vol. 29(8), pages 1393-1412, December.

    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:gam:jrisks:v:12:y:2024:i:4:p:67-:d:1375768. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.