Modeling the Potential Impact of Government Regulation on Cryptocurrency Prices

Authors

  • Kylie LoPiccolo Department of Information Technology, Pace University, New York, USA
  • Francis Parisi Department of Computer Science, Pace University, New York, USA

DOI:

https://doi.org/10.58567/eal02030002

Keywords:

Time-series models; Intervention analysis; Government policy and regulation; Asset pricing

Abstract

Cryptocurrencies have gained popularity over the past five to six years. Most recently, events like the FTX bankruptcy fueled the interest in regulation. Moreover, it is possible that the FTX event disrupting the cryptocurrency market was a factor in Silicon Valley Bank's failure. While several countries consider regulation, from soft regulation, like Japan, to more rigid standards, like the total ban in China, we study the effect of other news or events on cryptocurrency prices. This paper looks at historical closing prices for Bitcoin, the largest of the cryptocurrencies, and how prices react to various events. Then we focus on modeling the time series considering an 'event,' China's ban on cryptocurrency exchanges, using intervention analysis. We find that intervention analysis provides a reliable approach to quantifying the impact regulation may have on cryptocurrency pricing.

References

Bitcoin Historical Data. (2022). Investing.Com. https://www.investing.com/crypto/bitcoin/historical-data

Box, G. E. P. and Tiao, G. C. (1975). Intervention Analysis with Applications to Economic and Environmental Problems. Journal of the American Statistical Association, 70 (349), 70–79. https://doi.org/10.2307/2285379

Brockwell, P. J. and Davis, R. A. (1991). Time Series Theory and Methods 2nd ed., Springer. https://doi.org/10.1007/978-1-4419-0320-4

Chen, C. and Liu, L-M., (1993). Joint Estimation of Model Parameters and Outlier Effects in Time Series. Journal of the American Statistical Association, 88, (421) 284-297. http://dx.doi.org/10.2307/2290724

Chokor, A. and Alfieri, E. (2021). Long And Short-Term Impacts of Regulation in The Cryptocurrency Market. The Quarterly Review of Economics and Finance, 81, 157–173. https://doi.org/10.1016/j.qref.2021.05.005

Cryer, J. D. and Chan, K-S. (2008). Time Series Analysis with Applications in R, 2nd ed., Springer. https://doi.org/10.1007/978-0-387-75959-3

Feinstein, B. D. and Werbach, K. (2021). The Impact of Cryptocurrency Regulation on Trading Markets. Journal of Financial Regulation, 7(1), 48–99. http://dx.doi.org/10.2139/ssrn.3649475

How Do Macroeconomic Events Affect Bitcoin? (n.d.). River Financial. https://river.com/learn/how-do-macro-events-affect-bitcoin/

Hughes, T. M. (2018). The Global Financial Services Industry and the Blockchain. The Journal of Structured Finance, 3 (4) 36-40. https://doi.org/10.3905/jsf.2018.23.4.036

Konchitchki, Y. and O’Leary, D. E. (2011). Event Study Methodologies in Information Systems Research. International Journal of Accounting Information Systems, 12, 99–115. https://doi.org/10.1016/j.accinf.2011.01.002

MacKinlay, A. C. (1997). Event Studies in Economics and Finance. Journal of Economic Literature, 35(1), 13–39. https://www.jstor.org/stable/2729691

Downloads

Published

2023-05-30

How to Cite

LoPiccolo, K., & Parisi, F. (2023). Modeling the Potential Impact of Government Regulation on Cryptocurrency Prices. Economic Analysis Letters, 2(3), 10–17. https://doi.org/10.58567/eal02030002

Issue

Section

Article