Bitcoin y la Compañía de los Mares del Sur: un análisis comparativo
Este 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, es...
- Autores:
-
Demmler, Michael
Fernández-Domínguez, Amilcar Orlian
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2020
- Institución:
- Universidad Católica de Colombia
- Repositorio:
- RIUCaC - Repositorio U. Católica
- Idioma:
- eng
- OAI Identifier:
- oai:repository.ucatolica.edu.co:10983/29442
- Acceso en línea:
- https://hdl.handle.net/10983/29442
https://doi.org/10.14718/revfinanzpolitecon.v13.n1.2021.9
- Palabra clave:
- Bitcoin
Criptocurrency
Asset price bubble
Financial risk
Autoregressive model
Bitcoin
Criptomoneda
Burbuja de precio de activo
Riesgo financiero
Modelo autorregresivo
- Rights
- openAccess
- License
- Michael Demmler, Amilcar Orlian Fernández Domínguez - 2021
id |
UCATOLICA2_abcadf216092f9cee4119de5a1a0a473 |
---|---|
oai_identifier_str |
oai:repository.ucatolica.edu.co:10983/29442 |
network_acronym_str |
UCATOLICA2 |
network_name_str |
RIUCaC - Repositorio U. Católica |
repository_id_str |
|
dc.title.spa.fl_str_mv |
Bitcoin y la Compañía de los Mares del Sur: un análisis comparativo |
dc.title.translated.eng.fl_str_mv |
Bitcoin and the South Sea Company: A comparative analysis |
title |
Bitcoin y la Compañía de los Mares del Sur: un análisis comparativo |
spellingShingle |
Bitcoin y la Compañía de los Mares del Sur: un análisis comparativo Bitcoin Criptocurrency Asset price bubble Financial risk Autoregressive model Bitcoin Criptomoneda Burbuja de precio de activo Riesgo financiero Modelo autorregresivo |
title_short |
Bitcoin y la Compañía de los Mares del Sur: un análisis comparativo |
title_full |
Bitcoin y la Compañía de los Mares del Sur: un análisis comparativo |
title_fullStr |
Bitcoin y la Compañía de los Mares del Sur: un análisis comparativo |
title_full_unstemmed |
Bitcoin y la Compañía de los Mares del Sur: un análisis comparativo |
title_sort |
Bitcoin y la Compañía de los Mares del Sur: un análisis comparativo |
dc.creator.fl_str_mv |
Demmler, Michael Fernández-Domínguez, Amilcar Orlian |
dc.contributor.author.spa.fl_str_mv |
Demmler, Michael Fernández-Domínguez, Amilcar Orlian |
dc.subject.eng.fl_str_mv |
Bitcoin Criptocurrency Asset price bubble Financial risk Autoregressive model |
topic |
Bitcoin Criptocurrency Asset price bubble Financial risk Autoregressive model Bitcoin Criptomoneda Burbuja de precio de activo Riesgo financiero Modelo autorregresivo |
dc.subject.spa.fl_str_mv |
Bitcoin Criptomoneda Burbuja de precio de activo Riesgo financiero Modelo autorregresivo |
description |
Este 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. |
publishDate |
2020 |
dc.date.issued.none.fl_str_mv |
2020-01-01 |
dc.date.accessioned.none.fl_str_mv |
2021-01-01 00:00:00 2023-01-23T16:16:02Z |
dc.date.available.none.fl_str_mv |
2021-01-01 00:00:00 2023-01-23T16:16:02Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.eng.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coarversion.eng.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.content.eng.fl_str_mv |
Text |
dc.type.driver.eng.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.local.eng.fl_str_mv |
Journal article |
dc.type.redcol.eng.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.eng.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
status_str |
publishedVersion |
dc.identifier.doi.none.fl_str_mv |
10.14718/revfinanzpolitecon.v13.n1.2021.9 |
dc.identifier.eissn.none.fl_str_mv |
2011-7663 |
dc.identifier.issn.none.fl_str_mv |
2248-6046 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10983/29442 |
dc.identifier.url.none.fl_str_mv |
https://doi.org/10.14718/revfinanzpolitecon.v13.n1.2021.9 |
identifier_str_mv |
10.14718/revfinanzpolitecon.v13.n1.2021.9 2011-7663 2248-6046 |
url |
https://hdl.handle.net/10983/29442 https://doi.org/10.14718/revfinanzpolitecon.v13.n1.2021.9 |
dc.language.iso.eng.fl_str_mv |
eng |
language |
eng |
dc.relation.bitstream.none.fl_str_mv |
https://revfinypolecon.ucatolica.edu.co/article/download/3435/3878 https://revfinypolecon.ucatolica.edu.co/article/download/3435/3673 https://revfinypolecon.ucatolica.edu.co/article/download/3435/3809 |
dc.relation.citationedition.spa.fl_str_mv |
Núm. 1 , Año 2021 |
dc.relation.citationendpage.none.fl_str_mv |
224 |
dc.relation.citationissue.spa.fl_str_mv |
1 |
dc.relation.citationstartpage.none.fl_str_mv |
197 |
dc.relation.citationvolume.spa.fl_str_mv |
13 |
dc.relation.ispartofjournal.spa.fl_str_mv |
Revista Finanzas y Política Económica |
dc.relation.references.eng.fl_str_mv |
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. 61. 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 |
dc.rights.eng.fl_str_mv |
Michael Demmler, Amilcar Orlian Fernández Domínguez - 2021 |
dc.rights.accessrights.eng.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.eng.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.uri.eng.fl_str_mv |
https://creativecommons.org/licenses/by-nc-sa/4.0/ |
rights_invalid_str_mv |
Michael Demmler, Amilcar Orlian Fernández Domínguez - 2021 http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by-nc-sa/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.mimetype.eng.fl_str_mv |
text/html application/pdf text/xml |
dc.publisher.spa.fl_str_mv |
Universidad Católica de Colombia |
dc.source.eng.fl_str_mv |
https://revfinypolecon.ucatolica.edu.co/article/view/3435 |
institution |
Universidad Católica de Colombia |
bitstream.url.fl_str_mv |
https://repository.ucatolica.edu.co/bitstreams/bfa725b8-9620-465b-8ba4-8339d7bf44ba/download |
bitstream.checksum.fl_str_mv |
4d6f87a5a20b83b542531dcb6dab9304 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad Católica de Colombia - RIUCaC |
repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
_version_ |
1812183414044884992 |
spelling |
Demmler, Michael6a895c4d-626e-48c6-bb87-b71df864ba6e300Fernández-Domínguez, Amilcar Orlian0b36fe95-9a65-43fa-8a76-006dde9f4f902021-01-01 00:00:002023-01-23T16:16:02Z2021-01-01 00:00:002023-01-23T16:16:02Z2020-01-01Este 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.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.text/htmlapplication/pdftext/xml10.14718/revfinanzpolitecon.v13.n1.2021.92011-76632248-6046https://hdl.handle.net/10983/29442https://doi.org/10.14718/revfinanzpolitecon.v13.n1.2021.9engUniversidad Católica de Colombiahttps://revfinypolecon.ucatolica.edu.co/article/download/3435/3878https://revfinypolecon.ucatolica.edu.co/article/download/3435/3673https://revfinypolecon.ucatolica.edu.co/article/download/3435/3809Núm. 1 , Año 2021224119713Revista Finanzas y Política EconómicaAbramova, 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)00227-1Agosto, 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/risks8020034Akerlof, 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/10.1111/1468-0297.00499Allen, F., & Gorton, G. (1993). Churning Bubbles. Review of Economic Studies, 60(4), 813-836. https://doi.org/10.2307/2298101Antonopoulos, 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/10.1080/13504851.2014.916379Barberis, 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.2017.10.012Bech, M., & Garratt, R. (2017). Central bank cryptocurrencies. BIS Quarterly Review, 55-70. https://www.bis.org/publ/qtrpdf/r_qt1709f.pdfBianchetti, 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.3092427Blanchard, O. J. (1979). Speculative Bubbles, Crashes and Rational Expectations. Economic Letters, 3(4), 387-389. https://doi.org/10.1016/0165-1765(79)90017-XBlanchard, 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.2016.09.025Bradbury, D. (2013). The problem with Bitcoin. Computer Fraud & Security, 2013(11), 5-8. https://doi.org/10.1016/S1361-3723(13)70101-5Brière, 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.2015.5Brunnermeier, M. K. (2009). Deciphering to Liquidity and Credit Crunch 2007-2008. Journal of Economic Perspectives, 23(1), 77-100. DOI: 10.1257/jep.23.1.77Brunnermeier, 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.xBryans, 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.xChaim, 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.2018.11.031Chaum, 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.2015.02.029Chen, 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/jrfm12020053CoinDesk (2020a). Bitcoin (USD) Price. https://www.coindesk.com/price/bitcoinCoinDesk (2020b). CoinDesk API. https://www.coindesk.com/coindesk-apiCoinMarketCap (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.2020.101607De 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-dreamDemmler, 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.2014.11.006Eom, 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.2018.09.063European Parliament (2016). Report on virtual currencies 2016/2007(INI). http://www.europarl.europa.eu/doceo/document/A-8-2016-0168_EN.pdfEuropean 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=11347Fama, 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.2012.12.008Froot, 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.2018.08.008Fry, 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.2016.02.008Garber, 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.2018.11.011Godsiff, 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=10.1.1.221.9986Phillips, 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. 61. 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-2Michael Demmler, Amilcar Orlian Fernández Domínguez - 2021info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-sa/4.0/https://revfinypolecon.ucatolica.edu.co/article/view/3435BitcoinCriptocurrencyAsset price bubbleFinancial riskAutoregressive modelBitcoinCriptomonedaBurbuja de precio de activoRiesgo financieroModelo autorregresivoBitcoin y la Compañía de los Mares del Sur: un análisis comparativoBitcoin and the South Sea Company: A comparative analysisArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleJournal articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionPublicationOREORE.xmltext/xml2597https://repository.ucatolica.edu.co/bitstreams/bfa725b8-9620-465b-8ba4-8339d7bf44ba/download4d6f87a5a20b83b542531dcb6dab9304MD5110983/29442oai:repository.ucatolica.edu.co:10983/294422023-03-24 17:23:33.058https://creativecommons.org/licenses/by-nc-sa/4.0/Michael Demmler, Amilcar Orlian Fernández Domínguez - 2021https://repository.ucatolica.edu.coRepositorio Institucional Universidad Católica de Colombia - RIUCaCbdigital@metabiblioteca.com |