IDEAS home Printed from https://ideas.repec.org/a/red/issued/21-87.html

A Bayesian DSGE Approach to Modelling Cryptocurrency"

Author

Listed:
  • Stylianos Asimakopoulos

    (Brunel University)

  • Marco Lorusso

    (Newcastle University)

  • Francesco Ravazzolo

    (Libera Universita di Bolzano)

Abstract

We develop and estimate a DSGE model to evaluate the economic repercussions of cryptocurrency. In our model, cryptocurrency offers an alternative currency option to government currency, with endogenous supply and demand. We uncover a substitution effect between the real balances of government currency and cryptocurrency in response to technology, preferences and monetary policy shocks. We find that an increase in cryptocurrency productivity induces a rise in the relative price of government currency with respect to cryptocurrency. Since cryptocurrency and government currency are highly substitutable, the demand for the former increases whereas it drops for the latter. Our historical decomposition analysis shows that fluctuations in the cryptocurrency price are mainly driven by shocks in cryptocurrency demand, whereas changes in the real balances for government currency are mainly attributed to government currency and cryptocurrency demand shocks. (Copyright: Elsevier)

Suggested Citation

  • Stylianos Asimakopoulos & Marco Lorusso & Francesco Ravazzolo, 2023. "A Bayesian DSGE Approach to Modelling Cryptocurrency"," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 1012-1035, December.
  • Handle: RePEc:red:issued:21-87
    DOI: 10.1016/j.red.2023.09.006
    as

    Download full text from publisher

    File URL: https://dx.doi.org/10.1016/j.red.2023.09.006
    Download Restriction: None

    File URL: https://libkey.io/10.1016/j.red.2023.09.006?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Schilling, Linda & Uhlig, Harald, 2019. "Some simple bitcoin economics," Journal of Monetary Economics, Elsevier, vol. 106(C), pages 16-26.
    2. Jonathan Chiu & Seyed Mohammadreza Davoodalhosseini & Janet Jiang & Yu Zhu, 2023. "Bank Market Power and Central Bank Digital Currency: Theory and Quantitative Assessment," Journal of Political Economy, University of Chicago Press, vol. 131(5), pages 1213-1248.
    3. Fernández-Villaverde, Jesús & Sanches, Daniel, 2019. "Can currency competition work?," Journal of Monetary Economics, Elsevier, vol. 106(C), pages 1-15.
    4. Williamson, Stephen D., 2022. "Central bank digital currency and flight to safety," Journal of Economic Dynamics and Control, Elsevier, vol. 142(C).
    5. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    6. Del Negro, Marco & Schorfheide, Frank, 2008. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1191-1208, October.
    7. Ricardo Lagos & Randall Wright, 2005. "A Unified Framework for Monetary Theory and Policy Analysis," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 463-484, June.
    8. Andrés, Javier & David López-Salido, J. & Nelson, Edward, 2009. "Money and the natural rate of interest: Structural estimates for the United States and the euro area," Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 758-776, March.
    9. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 665-696.
    10. Agur, Itai & Ari, Anil & Dell’Ariccia, Giovanni, 2022. "Designing central bank digital currencies," Journal of Monetary Economics, Elsevier, vol. 125(C), pages 62-79.
    11. Brunnermeier, Markus K. & Niepelt, Dirk, 2019. "On the equivalence of private and public money," Journal of Monetary Economics, Elsevier, vol. 106(C), pages 27-41.
    12. John Kareken & Neil Wallace, 1981. "On the Indeterminacy of Equilibrium Exchange Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 96(2), pages 207-222.
    13. Rotemberg, Julio J, 1982. "Sticky Prices in the United States," Journal of Political Economy, University of Chicago Press, vol. 90(6), pages 1187-1211, December.
    14. Javier Andrés & J. David López-Salido & Javier Vallés, 2006. "Money in an Estimated Business Cycle Model of the Euro Area," Economic Journal, Royal Economic Society, vol. 116(511), pages 457-477, April.
    15. Benigno, Pierpaolo & Schilling, Linda M. & Uhlig, Harald, 2022. "Cryptocurrencies, currency competition, and the impossible trinity," Journal of International Economics, Elsevier, vol. 136(C).
    16. Davoodalhosseini, Seyed Mohammadreza, 2022. "Central bank digital currency and monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 142(C).
    17. Barrdear, John & Kumhof, Michael, 2022. "The macroeconomics of central bank digital currencies," Journal of Economic Dynamics and Control, Elsevier, vol. 142(C).
    18. Giannone, Domenico & Monti, Francesca & Reichlin, Lucrezia, 2016. "Exploiting the monthly data flow in structural forecasting," Journal of Monetary Economics, Elsevier, vol. 84(C), pages 201-215.
    19. Michael Sockin & Wei Xiong, 2020. "A Model of Cryptocurrencies," NBER Working Papers 26816, National Bureau of Economic Research, Inc.
    20. King, Robert G & Watson, Mark W, 1996. "Money, Prices, Interest Rates and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 35-53, February.
    21. Ferrari Minesso, Massimo & Mehl, Arnaud & Stracca, Livio, 2022. "Central bank digital currency in an open economy," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 54-68.
    22. Ireland, Peter N, 2004. "Money's Role in the Monetary Business Cycle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(6), pages 969-983, December.
    23. Sacha Gelfer, 2019. "Data-Rich DSGE Model Forecasts of the Great Recession and its Recovery," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 18-41, April.
    24. Nelson, Edward, 2002. "Direct effects of base money on aggregate demand: theory and evidence," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 687-708, May.
    25. Catania, Leopoldo & Grassi, Stefano & Ravazzolo, Francesco, 2019. "Forecasting cryptocurrencies under model and parameter instability," International Journal of Forecasting, Elsevier, vol. 35(2), pages 485-501.
    26. Canova, Fabio & Paustian, Matthias, 2011. "Business cycle measurement with some theory," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 345-361.
    27. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    28. Athey, Susan & Parashkevov, Ivo & Sarukkai, Vishnu & Xia, Jing, 2016. "Bitcoin Pricing, Adoption, and Usage: Theory and Evidence," Research Papers 3469, Stanford University, Graduate School of Business.
    29. Stephen Williamson, 2022. "Central Bank Digital Currency: Welfare and Policy Implications," Journal of Political Economy, University of Chicago Press, vol. 130(11), pages 2829-2861.
    30. Ireland, Peter N, 2000. "Interest Rates, Inflation, and Federal Reserve Policy since 1980," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 417-434, August.
    31. Rodney Garratt & Neil Wallace, 2018. "Bitcoin 1, Bitcoin 2, ....: An Experiment In Privately Issued Outside Monies," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1887-1897, July.
    32. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    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. Zhang, Xuanyu & Fan, Xiaoyun, 2025. "On the demand for various CBDC designs: A quantitative decomposition of currency spill-over based on the complementary role," International Review of Economics & Finance, Elsevier, vol. 103(C).
    2. Yi Fang & Qirui Tang & Yanru Wang, 2024. "Geopolitical Risk and Cryptocurrency Market Volatility," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 60(14), pages 3254-3270, November.

    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. Hilde C. Bjørnland & Jamie L. Cross & Felix Kapfhammer, 2023. "The Drivers of Emission Reductions in the European Carbon Market," Working Papers No 08/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Stylianos Asimakopoulos & Marco Lorusso & Francesco Ravazzolo, 2019. "A New Economic Framework: A DSGE Model with Cryptocurrency," Working Papers No 07/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    3. Marcelo A. T. Aragão, 2021. "A Few Things You Wanted to Know about the Economics of CBDCs, but were Afraid to Model: a survey of what we can learn from who has done," Working Papers Series 554, Central Bank of Brazil, Research Department.
    4. Lorenzo Burlon & Manuel A. Muñoz & Frank Smets, 2024. "The Optimal Quantity of CBDC in a Bank-Based Economy," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(4), pages 172-217, October.
    5. Son, Jaemin & Ryu, Doojin & Webb, Robert I., 2023. "Central bank digital currency: Payment choices and commercial bank profitability," International Review of Financial Analysis, Elsevier, vol. 90(C).
    6. Lim, King Yoong & Liu, Chunping & Zhang, Shuonan, 2024. "Optimal central banking policies: Envisioning the post-digital yuan economy with loan prime rate-setting," Emerging Markets Review, Elsevier, vol. 59(C).
    7. Hua, Qiuling & Qiu, Zepeng & Jiang, Tingfeng & Tang, Ke, 2025. "Macroeconomic effects of CBDC negative interest policy in an open economy: A comparison of quantity and price rules," International Review of Economics & Finance, Elsevier, vol. 100(C).
    8. Assenmacher, Katrin & Bitter, Lea & Ristiniemi, Annukka, 2023. "CBDC and business cycle dynamics in a New Monetarist New Keynesian model," Working Paper Series 2811, European Central Bank.
    9. Xiang, Lijin & Feng, Chao & Xiao, Zumian & Liu, Jianjian, 2024. "The impact of central bank digital currency on macroeconomic dynamics: A DSGE analysis," Economic Modelling, Elsevier, vol. 141(C).
    10. Harald Uhlig & Taojun Xie, 2026. "Parallel Digital Currencies and Sticky Prices," American Economic Journal: Macroeconomics, American Economic Association, vol. 18(1), pages 336-383, January.
    11. Moro, Alessandro & Nispi Landi, Valerio, 2024. "The external financial spillovers of CBDCs," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    12. Le, Anh H., 2022. "Central bank digital currency and cryptocurrency in emerging markets," MPRA Paper 114734, University Library of Munich, Germany.
    13. Abad, Jorge & Nuño, Galo & Thomas, Carlos, 2025. "CBDC and the operational framework of monetary policy," Journal of Monetary Economics, Elsevier, vol. 151(C).
    14. Zhang, Xuanyu & Fan, Xiaoyun, 2025. "On the demand for various CBDC designs: A quantitative decomposition of currency spill-over based on the complementary role," International Review of Economics & Finance, Elsevier, vol. 103(C).
    15. Ikeda, Daisuke, 2025. "Digital money as a medium of exchange and monetary policy in open economies," Macroeconomic Dynamics, Cambridge University Press, vol. 29, pages 1-1, January.
    16. Barrdear, John & Kumhof, Michael, 2022. "The macroeconomics of central bank digital currencies," Journal of Economic Dynamics and Control, Elsevier, vol. 142(C).
    17. Bindseil, Ulrich & Senner, Richard, 2024. "Macroeconomic modelling of CBDC: a critical review," Working Paper Series 2978, European Central Bank.
    18. Zijian Wang, 2023. "Money Laundering and the Privacy Design of Central Bank Digital Currency," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 604-632, December.
    19. Dionysopoulos, Lambis & Marra, Miriam & Urquhart, Andrew, 2024. "Central bank digital currencies: A critical review," International Review of Financial Analysis, Elsevier, vol. 91(C).
    20. Benigno, Pierpaolo & Schilling, Linda M. & Uhlig, Harald, 2022. "Cryptocurrencies, currency competition, and the impossible trinity," Journal of International Economics, Elsevier, vol. 136(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:red:issued:21-87. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.html .

    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.