How to Cite
Demmler, M., & Fernández Domínguez, A. O. . (2021). Bitcoin and the South Sea Company: A comparative analysis. Revista Finanzas Y Política Económica, 13(1), 197–224. https://doi.org/10.14718/revfinanzpolitecon.v13.n1.2021.9
License

This journal is licensed by a Creative Commons Attribution License (CC BY-NC-SA 4.0) Attribution-Non Commercial 4.0 International. For the CC licenses, the principle isthe creative freedom. This system complements the copyright without opposing it, conscious of its importance in our culture. The content of the articles is the responsibility of each author, and does not compromise in any way, to the journal or the university. It allows the transmission and reproduction of titles, abstracts and full content, with academic, scientific, cultural ends, provided acknowledgment of the respective source. This work cannot be used for commercial purposes. 

Licencia de Creative Commons

They journal does not charge authors for submission or publication.

Abstract

This paper examines historical Bitcoin price data together with the price data of a well-known and generally accepted historical asset price bubble (the 1720 South Sea Bubble) with the aim of identifying possible similarities. In order to find empirical evidence of speculative bubble tendencies, the article analyses distribution moments and autoregressive models of time series of both assets. Results show that historical daily prices of both assets—taking into account one year before and one year after the maximum price level—clearly show the two phases of bubble expansion and subsequent crash. Furthermore, various similarities between the South Sea Bubble and Bitcoin can be found in descriptive statistics, such as mean of return, standard deviation, and skewness. Statistical tests also show several explosive moments in the time series of the South Sea Company and Bitcoin returns, which implies that both assets exhibit more than one financial bubble.

Keywords:

References

Abramova, S., & Böhme, R. (2016). Perceived benefit and risk as multidimensional determinants of Bitcoin use: A quantitative exploratory study. Proceedings from the Thirty Seventh International Conference on Information Systems. Dublin, UK: ICIS.

Abreu, D., & Brunnermeier, M. K. (2002). Synchronization Risk and Delayed Arbitrage. Journal of Financial Economics, 66(2-3), 341-360. https://doi.org/10.1016/S0304-405X(02)00227-1

Agosto, A., & Cafferata, A. (2020). Financial Bubbles: A Study of Co-Explosivity in the Cryptocurrency Market. Risks, 8(2), 1-14. https://doi.org/10.3390/risks8020034

Akerlof, G. A., & Shiller, R. J. (2009). Animal Spirits – How Human Psychology Drives the Economy and Why It Matters for Global Capitalism. Princeton, NJ: Princeton University Press.

Ali, R., Barrdear, J., Clews, R., & Southgate, J. (2014). Innovations in payment technologies and the emergence of digital currencies. Bank of England Quarterly Bulletin, (2014 Q3), 262-275.

Allen, F., & Gale, D. (2000). Bubbles and Crises. Economic Journal, 110(460), 236-255. https://doi.org/10.1111/1468-0297.00499

Allen, F., & Gorton, G. (1993). Churning Bubbles. Review of Economic Studies, 60(4), 813-836. https://doi.org/10.2307/2298101

Antonopoulos, A. (2017). Mastering Bitcoin: Programming the open blockchain (2nd ed.). Sebastopol, CA: O´Reilly Media Inc.

Baek, C., & Elbeck, M. (2015). Bitcoins as an investment or speculative vehicle? A first look. Applied Economics Letters, 22(1), 30-34. https://doi.org/10.1080/13504851.2014.916379

Barberis, N., & Thaler, R. (2002). A survey of behavioral finance. In G.M. Constantinides, M. Harris, & R. M. Stulz (eds.), Handbook of the Economics of Finance (pp. 1053-1128). Elsevier.

Baur, D., Dimpfl, T., & Kuck, K. (2018). Bitcoin, gold and the US dollar: A replication and extension. Finance Research Letters, 25, 103-110. https://doi.org/10.1016/j.frl.2017.10.012

Bech, M., & Garratt, R. (2017). Central bank cryptocurrencies. BIS Quarterly Review, 55-70. https://www.bis.org/publ/qtrpdf/r_qt1709f.pdf

Bianchetti, M., Ricci, C., & Scaringi, M. (2018). Are Cryptocurrencies Real Financial Bubbles? Evidence from Quantitative Analyses. SSRN. https://ssrn.com/abstract=3092427 or http://dx.doi.org/10.2139/ssrn.3092427

Blanchard, O. J. (1979). Speculative Bubbles, Crashes and Rational Expectations. Economic Letters, 3(4), 387-389. https://doi.org/10.1016/0165-1765(79)90017-X

Blanchard, O., & Watson, M. (1982). Bubbles, Rational Expectations and Financial Markets. In Wachtel, P. Crisis in the economic and financial structure (pp. 295-316). Lexington, MA: D.C. Heathand Company.

Bonneau, J., Miller, A., Clark, J., Narayanan, A., Kroll, J., & Felten, E. (2015). SoK: Research perspectives and challenges for Bitcoin and cryptocurrencies. Proceedings from 2015 IEEE Computer Society Symposium on Security and Privacy. San Jose, CA: IEEE.

Bouri, E., Molnár, P., Azzi, G., Roubaud, D., & Hagfors, L. I. (2017). On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? Finance Research Letters, 20, 192-198. https://doi.org/10.1016/j.frl.2016.09.025

Bradbury, D. (2013). The problem with Bitcoin. Computer Fraud & Security, 2013(11), 5-8. https://doi.org/10.1016/S1361-3723(13)70101-5

Brière, M., Oosterlinck, K., & Szafarz, A. (2015). Virtual currency, tangible return: Portfolio diversification with bitcoin. Journal of Asset Management, 16(6), 365-373. doi:10.1057/jam.2015.5

Brunnermeier, M. K. (2009). Deciphering to Liquidity and Credit Crunch 2007-2008. Journal of Economic Perspectives, 23(1), 77-100. DOI: 10.1257/jep.23.1.77

Brunnermeier, M. K., & Nagel, S. (2004). Hedge Funds and the Technology Bubble. Journal of Finance, 59(5), 2013-2040. https://doi.org/10.1111/j.1540-6261.2004.00690.x

Bryans, D. (2014). Bitcoin and money laundering: Mining for an effective solution. Indiana Law Journal, 89(1), 441-472.

Camerer, C. (1989). Bubbles and Fads in Asset Prices. Journal of Economic Surveys, 3(1), 3-41. https://doi.org/10.1111/j.1467-6419.1989.tb00056.x

Chaim, P., & Laurini, M. P. (2019). Is Bitcoin a bubble? Physica A: Statistical Mechanics and its Applications, 517(C), 222-232. https://doi.org/10.1016/j.physa.2018.11.031

Chaum, D. (1983). Blind signatures for untraceable payments. In D. Chaum, R. Rivest, & A. Sherman (Eds.), Advances in Cryptology. Proceedings from Crypto 82 (pp. 199-203). Boston, MA: Springer.

Cheah, E., & Fry, J. (2015). Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin. Economics Letters, 130, 32-36. https://doi.org/10.1016/j.econlet.2015.02.029

Chen, C. Y., & Hafner, C. M. (2019). Sentiment-Induced Bubbles in the Cryptocurrency Market. Journal of Risk and Financial Management, 12(2), 1-12. https://doi.org/10.3390/jrfm12020053

CoinDesk (2020a). Bitcoin (USD) Price. https://www.coindesk.com/price/bitcoin

CoinDesk (2020b). CoinDesk API. https://www.coindesk.com/coindesk-api

CoinMarketCap (2020). Top 100 Cryptocurrencies by Market Capitalization. https://coinmarketcap.com/

Conlon, T., & McGee, R. (2020). Safe haven or risky hazard? Bitcoin during the Covid-19 bear market. Finance Research Letters, 35, 101607. https://doi.org/10.1016/j.frl.2020.101607

De Filippi, P. (2014). Bitcoin: a regulatory nightmare to a libertarian dream. Internet Policy Review, 3(2), Retrieved from: https://policyreview.info/articles/analysis/bitcoin-regulatory-nightmare-libertarian-dream

Demmler, M. (2017). Irrationality of asset price bubbles – human decision-making in the course of financial bubbles. México: Pearson Educación.

Dwyer, G. (2015). The economics of Bitcoin and similar private digital currencies. Journal of Financial Stability, 17, 81-91. https://doi.org/10.1016/j.jfs.2014.11.006

Eom, C. Kaizoji, T., Kang, S., & Pichl, L. (2019). Bitcoin and investor sentiment: Statistical characteristics and predictability. Physica A: Statistical Mechanics and its Applications, 514(15), 511-521. https://doi.org/10.1016/j.physa.2018.09.063

European Parliament (2016). Report on virtual currencies 2016/2007(INI). http://www.europarl.europa.eu/doceo/document/A-8-2016-0168_EN.pdf

European State Finance Database (2020). [Graph of stock prices reported by John Castaing, the course of the exchange, from January 1698 to December 1753]. John Castaing’s Course of exchange. http://www.esfdb.org/table.aspx?resourceid=11347

Fama, E. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25(2), 383-417.

Fama, E. (1991). Efficient capital markets: II. Journal of Finance, 46(5), 1575-1617.

Frehen, R., Goetzmann, W., & Rouwenhorst, G. (2009). New evidence on the first financial bubble. Journal of Financial Economics, 108(3), 585-607. https://doi.org/10.1016/j.jfineco.2012.12.008

Froot, K. A., & Obstfeld, M. (1991). Intrinsic Bubbles – The Case of Stock Prices. American Economic Review, 81(5), 1189-1214.

Fry, J. (2018). Booms, busts and heavy-tails: The story of Bitcoin and cryptocurrency markets? Economics Letters, 171(C), 225-229. https://doi.org/10.1016/j.econlet.2018.08.008

Fry, J., & Cheah, J. E. T. (2016). Negative bubbles and shocks in cryptocurrency markets. International Review of Financial Analysis, 47(C), 343-352. https://doi.org/10.1016/j.irfa.2016.02.008

Garber, P. M. (1989). Tulipmania. Journal of Political Economy, 98(3), 535-560.

Garber, P. M. (1990). Famous first bubbles. Journal of Economic Perspectives, 4(2), 35-54.

Garcia, D., Tessone C. J., Mavrodiev, P., & Perony, N. (2014). The digital traces of bubbles: feedback cycles between socioeconomic signals in the Bitcoin economy. Journal of the Royal Society – Interface, 11, 1-8.

Geuder, J., Kinateder, H., & Wagner, N. F. (2019). Cryptocurrencies as financial bubbles: The case of Bitcoin. Finance Research Letters, 31(C). https://doi.org/10.1016/j.frl.2018.11.011

Godsiff, P. (2015). Bitcoin: Bubble or Blockchain. In G. Jezic, R. Howlett, & L. Jain (eds), Agent and Multi-Agent Systems: Technologies and Applications. Smart Innovation, Systems and Technologies (pp. 191-203), vol 38. Springer, Cham.

Grinberg, R. (2011). Bitcoin: An innovative alternative digital currency. Hastings Science and Technology Law Journal, 4, 159-208.

Jarrow, R. A., Protter, P., & Shimbo, K. (2010). Asset price bubbles in incomplete markets. Mathematical Finance: An International Journal of Mathematics, Statistics and Financial Economics, 20(2), 145-185.

Jensen, M. C. (1978). Some anomalous evidence regarding market efficiency. Journal of Financial Economics, 6(2-3), 95-101.

Kindleberger, C., & Aliber, R. (2005). Manias, panics, and crashes: A history of financial crises (5th ed.). Hoboken, NJ: John Wiley & Sons, Inc.

Lara, G. & Demmler, M. (2018). Social currencies and cryptocurrencies: characteristics, risks and comparative analysis. CIRIEC-España, Revista de Economía Pública, Social y Cooperativa, 93, 265-291.

Nakamoto, S. (2008). Bitcoin: a peer-to-peer electronic cash system. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.9986

Phillips, R. C., & Gorse D. (2018a). Cryptocurrency price drivers: Wavelet coherence analysis revisited. PLoS ONE 13(4), 1-21.

Phillips, R. C., & Gorse, D. (2018b). Predicting cryptocurrency price bubbles using social media data and epidemic modelling. In Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence (SSCI). (pp. 394-400). IEEE: Honolulu, HI, USA.

Phillips, P., Shi, S-P., & Yu, J. (2015). Testing for Multiple Bubbles: Historical Episodes of Exuberance and Collapse in the S&P 500. International Economic Review, 56, 1043-1078.

Shiller, R. J. (1988). Fashions, fads, and bubbles in financial markets. In J. C. Coffee, L. Lowenstein & S. Rose-Ackerman (eds.), Knights, Raiders and Targets – The Impact of the Hostile Takeover (pp. 56-68), New York et al.: Oxford University Press.

Shiller, R. J. (2005). Diverse views on asset bubbles. In W. Hunter, G. Kaufman & M. Pomerleano (eds.), Asset price bubbles: The implications for monetary, regulatory, and institutional policies (pp. 35-39). Cambridge, MA: MIT Press.

Shiller, R. J. (2015). Irrational Exuberance (3rd ed.). Princeton, NJ: Princeton University Press.

Shleifer, A., & Vishny, R. W. (1997). The Limits of Arbitrage. Journal of Finance, 52(1), 35-55.

Sornette, D., & Andersen, J. V. (2002). A nonlinear super-exponential rational model of speculative financial bubbles. International Journal of Modern Physics C, 13(2), 171-187.

Weidmann, J. (2018, February 14). Opening speech for the Fourth Cash Symposium of the Deutsche Bundesbank, Frankfurt am Main. https://www.bundesbank.de/en/press/speeches/opening-speech-667594#tar-2

Reference by

Sistema OJS 3 - Metabiblioteca |