dc.creatorDemmler, Michael
dc.creatorFernández-Domínguez, Amilcar Orlian
dc.date.accessioned2021-01-01 00:00:00
dc.date.accessioned2023-01-23T16:16:02Z
dc.date.accessioned2023-06-05T16:52:40Z
dc.date.available2021-01-01 00:00:00
dc.date.available2023-01-23T16:16:02Z
dc.date.available2023-06-05T16:52:40Z
dc.date.created2021-01-01 00:00:00
dc.date.created2023-01-23T16:16:02Z
dc.date.issued2020-01-01
dc.identifier10.14718/revfinanzpolitecon.v13.n1.2021.9
dc.identifier2011-7663
dc.identifier2248-6046
dc.identifierhttps://hdl.handle.net/10983/29442
dc.identifierhttps://doi.org/10.14718/revfinanzpolitecon.v13.n1.2021.9
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6648131
dc.description.abstractEste artículo analiza datos de precios históricos de Bitcoin junto con los de una burbuja histórica reconocida y generalmente aceptada (Burbuja de los Mares del Sur de 1720) con el objeto de identificar posibles similitudes. Para encontrar evidencia empírica de tendencias de burbuja especulativa, este artículo analiza los momentos de la distribución y modelos autorregresivos de series de tiempo de ambos activos. Los resultados muestran que los precios diarios históricos de ambos activos, considerando un año antes y después del precio máximo, muestran claramente las fases de expansión de una burbuja y el consecuente colapso. Asimismo, los dos activos muestran varias similitudes en la estadística descriptiva de sus retornos incluyendo la media, desviación estándar y el sesgo. Otras pruebas estadísticas muestran varios momentos de explosión en las series de tiempo de los retornos de ambos activos, lo que implica que estos exhibieron más de una burbuja financiera.
dc.description.abstractThis 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.
dc.languageeng
dc.publisherUniversidad Católica de Colombia
dc.relationhttps://revfinypolecon.ucatolica.edu.co/article/download/3435/3878
dc.relationhttps://revfinypolecon.ucatolica.edu.co/article/download/3435/3673
dc.relationhttps://revfinypolecon.ucatolica.edu.co/article/download/3435/3809
dc.relationNúm. 1 , Año 2021
dc.relation224
dc.relation1
dc.relation197
dc.relation13
dc.relationRevista Finanzas y Política Económica
dc.relationAbramova, 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.
dc.relationAbreu, 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
dc.relationAgosto, 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
dc.relationAkerlof, 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.
dc.relationAli, 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.
dc.relationAllen, F., & Gale, D. (2000). Bubbles and Crises. Economic Journal, 110(460), 236-255. https://doi.org/10.1111/1468-0297.00499
dc.relationAllen, F., & Gorton, G. (1993). Churning Bubbles. Review of Economic Studies, 60(4), 813-836. https://doi.org/10.2307/2298101
dc.relationAntonopoulos, A. (2017). Mastering Bitcoin: Programming the open blockchain (2nd ed.). Sebastopol, CA: O´Reilly Media Inc.
dc.relationBaek, 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
dc.relationBarberis, 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.
dc.relationBaur, 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
dc.relationBech, M., & Garratt, R. (2017). Central bank cryptocurrencies. BIS Quarterly Review, 55-70. https://www.bis.org/publ/qtrpdf/r_qt1709f.pdf
dc.relationBianchetti, 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
dc.relationBlanchard, 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
dc.relationBlanchard, 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.
dc.relationBonneau, 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.
dc.relationBouri, 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
dc.relationBradbury, D. (2013). The problem with Bitcoin. Computer Fraud & Security, 2013(11), 5-8. https://doi.org/10.1016/S1361-3723(13)70101-5
dc.relationBrière, 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
dc.relationBrunnermeier, 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
dc.relationBrunnermeier, 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
dc.relationBryans, D. (2014). Bitcoin and money laundering: Mining for an effective solution. Indiana Law Journal, 89(1), 441-472.
dc.relationCamerer, 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
dc.relationChaim, 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
dc.relationChaum, 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.
dc.relationCheah, 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
dc.relationChen, 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
dc.relationCoinDesk (2020a). Bitcoin (USD) Price. https://www.coindesk.com/price/bitcoin
dc.relationCoinDesk (2020b). CoinDesk API. https://www.coindesk.com/coindesk-api
dc.relationCoinMarketCap (2020). Top 100 Cryptocurrencies by Market Capitalization. https://coinmarketcap.com/
dc.relationConlon, 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
dc.relationDe 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
dc.relationDemmler, M. (2017). Irrationality of asset price bubbles – human decision-making in the course of financial bubbles. México: Pearson Educación.
dc.relationDwyer, 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
dc.relationEom, 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
dc.relationEuropean Parliament (2016). Report on virtual currencies 2016/2007(INI). http://www.europarl.europa.eu/doceo/document/A-8-2016-0168_EN.pdf
dc.relationEuropean 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
dc.relationFama, E. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25(2), 383-417.
dc.relationFama, E. (1991). Efficient capital markets: II. Journal of Finance, 46(5), 1575-1617.
dc.relationFrehen, 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
dc.relationFroot, K. A., & Obstfeld, M. (1991). Intrinsic Bubbles – The Case of Stock Prices. American Economic Review, 81(5), 1189-1214.
dc.relationFry, 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
dc.relationFry, 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
dc.relationGarber, P. M. (1989). Tulipmania. Journal of Political Economy, 98(3), 535-560.
dc.relationGarber, P. M. (1990). Famous first bubbles. Journal of Economic Perspectives, 4(2), 35-54.
dc.relationGarcia, 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.
dc.relationGeuder, 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
dc.relationGodsiff, 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.
dc.relationGrinberg, R. (2011). Bitcoin: An innovative alternative digital currency. Hastings Science and Technology Law Journal, 4, 159-208.
dc.relationJarrow, 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.
dc.relationJensen, M. C. (1978). Some anomalous evidence regarding market efficiency. Journal of Financial Economics, 6(2-3), 95-101.
dc.relationKindleberger, C., & Aliber, R. (2005). Manias, panics, and crashes: A history of financial crises (5th ed.). Hoboken, NJ: John Wiley & Sons, Inc.
dc.relationLara, 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.
dc.relationNakamoto, S. (2008). Bitcoin: a peer-to-peer electronic cash system. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.9986
dc.relationPhillips, R. C., & Gorse D. (2018a). Cryptocurrency price drivers: Wavelet coherence analysis revisited. PLoS ONE 13(4), 1-21.
dc.relationPhillips, 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.
dc.relationPhillips, 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.
dc.relationShiller, 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.
dc.relationShiller, 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.
dc.relationShiller, R. J. (2015). Irrational Exuberance (3rd ed.). Princeton, NJ: Princeton University Press. 61. Shleifer, A., & Vishny, R. W. (1997). The Limits of Arbitrage. Journal of Finance, 52(1), 35-55.
dc.relationSornette, 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.
dc.relationWeidmann, 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
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsMichael Demmler, Amilcar Orlian Fernández Domínguez - 2021
dc.sourcehttps://revfinypolecon.ucatolica.edu.co/article/view/3435
dc.subjectBitcoin
dc.subjectCriptocurrency
dc.subjectAsset price bubble
dc.subjectFinancial risk
dc.subjectAutoregressive model
dc.subjectBitcoin
dc.subjectCriptomoneda
dc.subjectBurbuja de precio de activo
dc.subjectRiesgo financiero
dc.subjectModelo autorregresivo
dc.titleBitcoin y la Compañía de los Mares del Sur: un análisis comparativo
dc.typeArtículo de revista


Este ítem pertenece a la siguiente institución