Existence of Speculative Bubbles for the US at Times of Two Major Financial Crises in the Recent Past: An Econometric Check of BitCoin Prices
Abstract
The last decade stands as a witness to a large number digital currencies coming into existence, such as—LiteCoin, BitCoin, Ripple, AuroraCoin, DogeCoin, etc. BitCoin being the most prominent among them, both in terms of its impressive price development and the price volatility it has. In this paper, the author uses a speculative bubble tracker, based on Wiener stochastic process, at times of two major financial crises, i.e. during the 2008–2009 US Subprime Mortgage Market Crisis and the Global Recession that started from 2010 onwards. The data used has been for the daily closing prices (converted into monthly after taking a geometric mean) from July 2008 to July 2010. Then from July 2010—July 2012, 2012–2014 and finally, 2014–2016. Using such data, the author traces out the price movements and points out periods of mass hysteria i.e. a ‘speculative bubble’ over the period concerned by comparing the results derived using a Brownian motion equation form used in physics and hence, tries to correlate the price fluctuations of BitCoins with fluctuations in the crisis index (as constructed by the author) for USA. Intriguingly, significance of speculative bubbles is prevalent at times of these financial crises.
Keywords
Financial crises Wiener process Social media Bubble Search spikesReferences
- Barber, B. M., & Odean, T. (2007). All that glitters: the effect of attention and news on the buying behavior of individual and institutional investors. The Review of Financial Studies, 21(2), 785–818.CrossRefGoogle Scholar
- Barber, S., Boyen, X., Shi, E., & Uzun, E. (2012). Bitter to better — how to make BitCoin a better currency. In International conference on financial cryptography and data security (pp. 399–414). Berlin: Springer Heidelberg.CrossRefGoogle Scholar
- Böhme, R., Christin, N., Edelman, B., & Moore, T. (2015). BitCoin: economics, technology, and governance. J Econ Perspect, 29(2), 213–238.CrossRefGoogle Scholar
- Bouoiyour, J., & Selmi, R. (2016). BitCoin: a beginning of a new phase. Econ Bull, 36(3), 1430–1440.Google Scholar
- Brée, D. S., & Joseph, N. L. (2013). Testing for financial crashes using the log periodic power law model. Int Rev Financ Anal, 30(C), 287–297.CrossRefGoogle Scholar
- Broock, W. A., Scheinkman, J. A., Dechert, W. D., & LeBaron, B. (1996). A test for independence based on the correlation dimension. Econ Rev, 15(3), 197–235.CrossRefGoogle Scholar
- Buchholz, M., Delaney, J., Warren, J., & Parker, J. (2012). Bits and bets, information, price volatility, and demand for BitCoin. Retrieved from http://www.bitcointrading.com/pdf/bitsandbets.pdf
- Cheah, E. T., & Fry, J. (2015). Speculative bubbles in BitCoin markets? An empirical investigation into the fundamental value of BitCoin. Econ Lett, 130(C), 32–36.CrossRefGoogle Scholar
- Ciaian, P., Rajcaniova, M., & Kancs, D. A. (2016). The economics of BitCoin price formation. Appl Econ, 48(19), 1799–1815.CrossRefGoogle Scholar
- Dimitrova, D. (2005). The relationship between exchange rates and stock prices: studied in a multivariate model. Issues in Political Economy, 14(1), 3–9.Google Scholar
- Dowd, K. (2014). New private monies: a bit-part player?. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2535299
- Dwyer, G. P. (2015). The economics of BitCoin and similar private digital currencies. Journal of Financial Stability, 17(C), 81–91.CrossRefGoogle Scholar
- Eichengreen, B., Rose, A. K., & Wyplosz, C. (1994). Speculative attacks on pegged exchange rates: an empirical exploration with special reference to the European monetary system (no. w4898). Stanford, CA: National Bureau of economic research.CrossRefGoogle Scholar
- Filimonov, V., Demos, G., & Sornette, D. (2017). Modified profile likelihood inference and interval forecast of the burst of financial bubbles. Quantitative Finance, 17(8), 1167–1186.CrossRefGoogle Scholar
- Frankel, J. A., & Rose, A. K. (1996). Currency crashes in emerging markets: an empirical treatment. J Int Econ, 41(3), 351–366.CrossRefGoogle Scholar
- Frankel, J. A., & Wei, S. J. (2005). Managing macroeconomic crises: policy lessons. In J. Aizenman & B. Pinto (Eds.), Managing economic volatility and crise: a practitioner’s guide. Cambridge: Cambridge University Press.Google Scholar
- Geraskin, P., & Fantazzini, D. (2013). Everything you always wanted to know about log-periodic power laws for bubble modeling but were afraid to ask. The European Journal of Finance, 19(5), 366–391.CrossRefGoogle Scholar
- Gervais, S., & Odean, T. (2001). Learning to be overconfident. The Review of Financial Studies, 14(1), 1–27.CrossRefGoogle Scholar
- Greco, T. (2001). Money: understanding and creating alternatives to legal tender. Chelsea: Green Publishing.Google Scholar
- Grinberg, R. (2012). BitCoin: an innovative alternative digital currency. Hastings Sci & Tech LJ, 4, 159.Google Scholar
- Kaminski J (2014) Nowcasting the BitCoin market with twitter signals. Retrieved from https://arxiv.org/pdf/1406.7577.pdf Google Scholar
- Kristoufek, L. (2013). BitCoin meets Google trends and wikipedia: quantifying the relationship between phenomena of the internet era. Sci Rep, 3, 3415.CrossRefGoogle Scholar
- Lee T (2014) These four charts suggest that BitCoin will stabilize in the future. Retrieved from www.washingtonpost.com/blogs/the-switch/wp/2014/02/03/these-fourchartssuggest-that-BitCoin-will-stabilize-in-the-future/ Google Scholar
- Lin, K. (1997). The ABC’s of BDS. Journal of Computational Intelligence in Finance, 97(July/August), 23–26.Google Scholar
- Lucey, B. M., & O’Connor, F. A. (2013). Do bubbles occur in the gold price? An investigation of gold lease rates and Markov switching models. Borsa Istanbul Rev, 13(3), 53–63.CrossRefGoogle Scholar
- Luther WJ, & Olson J (2013). BitCoin is memory. Retrieved from http://pricesandmarkets.org/wp-content/uploads/2015/02/Luther-Olson-4.pdf CrossRefGoogle Scholar
- Moore, T., & Christin, N. (2013, April). Beware the middleman: Empirical analysis of Bitcoin-exchange risk. In International Conference on Financial Cryptography and Data Security (pp. 25–33). Berlin, Heidelberg: Springer.CrossRefGoogle Scholar
- Mukherjee, S., & Karmakar, A. K. (2018). A hardheaded look: how did India feel the tremors of recent financial crises? In H. Dincer, Ü. Hacioglu, & S. Yüksel (Eds.), Global approaches in financial economics, banking, and finance (pp. 25–51). Cham, Switzerland: Springer.CrossRefGoogle Scholar
- Palombizio, E., & Morris, I. (2012). Forecasting exchange rates using leading economic indicators. Open Access Scientific Reports, 1(8), 1–6.Google Scholar
- Plassaras, N. A. (2013). Regulating digital currencies: bringing BitCoin within the reach of IMF. Chi J Int’l L, 14, 377.Google Scholar
- Shreve, S. E. (2004). Stochastic calculus for finance II: continuous-time models (Vol. 11). Berlin: Springer Science & Business Media.CrossRefGoogle Scholar
- van Wijk, D. (2013). What can be expected from the BitCoin. Retrieved from https://Final-version-Thesis-Dennis-van-Wijk.pdf
- Weber, B. (2014). BitCoin and the legitimacy crisis of money. Cambridge Journal of Economics, 40(1), 17–41.CrossRefGoogle Scholar
- Zhang, X., Fuehres, H., & Gloor, P. A. (2011). Predicting stock market indicators through twitter “I hope it is not as bad as I fear”. Procedia Soc Behav Sci, 26, 55–62.CrossRefGoogle Scholar