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An empirical test for bubbles in cryptocurrency markets

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Abstract

In an asset market without bubbles, meaning the strong efficient markets hypothesis is satisfied, the price and dividend should be cointegrated. However, standard unit root tests have low power against a class of Periodically Collapsing Rational Bubbles introduced by (Evans, Am Econ Rev 81:922–930, 1991), which are an intuitive model of speculative behavior. The cryptocurrency markets for bitcoin, ethereum, and ripple do not have dividends, so the tests are conducted using five different proxies for fundamentals. In most cases the price and fundamental data are integrated of order one, according to a minimum LM test for unit roots that allows for breaks. Using a robust test for cointegration that controls for the skewness and excess kurtosis that could arise with such bubbles, one cannot reject the presence of Period Collapsing Rational Bubbles in any of the cryptocurrency markets. The distribution of such tests is non-standard, so significance levels are determined with Monte Carlo experiments.

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Appendix

Appendix

Table 9, Table 10, and Fig. 1

Table 9 Augmented Dickey Fuller Tests on levels and differences of the cryptocurrencies
Table 10 Augemented Dickey-Fuller tests on the level and difference of the gold price (GP) and the S&P 500 Index (SP500)
Fig. 1
figure 2

Distribution of the 10,000 simulated CR statistics the Monte Carlo experiment using eq. (4) for values determined by the log(BTCP)

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Waters, G.A., Bui, T. An empirical test for bubbles in cryptocurrency markets. J Econ Finan 46, 207–219 (2022). https://doi.org/10.1007/s12197-021-09561-9

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