The International Monetary Fund’s decision in 2015 to add the Renminbi to its Special Drawing Rights currency basket has in effect granted the Chinese Yuan the international reserve currency status. This study revisits China’s five exchange rate regimes in 2005-2015 and investigates the relationships among the currencies of the Chinese Yuan, the U.S. Dollar and the Euro. The Log-Periodic Power Law Singularity model is proposed as a generic parameterization to capture the super-exponential behavior in the tetrad of exchange rates of these currency pairs. The transient non-sustainable faster-than-exponential acceleration of the “CNY against USD” from August 2005 to July 2008 suggests the existence of an apparent bubble with an under-valuation. The clustered signals of LPPLS Confidence indicators for the “CNY against USD” from May 2011 to March 2012 suggest the termination of its long-term growth. The signals for the “EUR against USD” and “CNY against EUR” emerging from January 2014 to August 2015 show a tightly coupled relationship among these currency pairs. Moreover, the empirical estimates of the most possible critical time by the standard Ordinary Least Squares method and the Quantile Regression method for the time series of “CNY against USD” tends to be later than that of “CNY against EUR” in the five regimes.
Zhou, X. 2005. Speech of Governor Zhou Xiaochuan at the inauguration ceremony of the people’s bank of china Shanghai head office.
Ye, M., & Hutson, E. 2011. Managed exchange rates, dual listing and foreign exchange exposure: The experience of Chinese banks around the financial crisis. Journal of the Asia Pacific Economy, 16, 393-421.
Eichengreen, B. 2007. China’s exchange rate regime: The long and short of it. In China’s Financial Transition at a Crossroads, Stanford University Press.
Frankel, J. A., & Wei, S.-J. 2007. Assessing China’s exchange rate regime. Economic Policy, 22, 576-627.
Frankel, J. A. 2009. New estimation of China’s exchange rate regime. Pacific Economic Review, 14, 346-360.
Wang, G., & Xie, C. 2013. Cross-correlations between Renminbi and four major currencies in the Renminbi currency basket. Physica A: Statistical Mechanics and its Applications, 392, 1418-1428.
Woo, W. T. 1987. Some evidence of speculative bubbles in the foreign exchange markets. Journal of Money, Credit and Banking, 19(4),499-514.
Sornette, D., & Andersen, J. V. 2002. A nonlinear super-exponential rational model of speculative financial bubbles. International Journal of Modern Physics C, 13, 171-187.
Deviren, B., Kocakaplan, Y., Keskin, M., Balcılar, M.,Ozdemir, Z. A., & Ersoy, E. 2014. Analysis of bubbles and crashes in the TRY/USD, TRY/EUR, TRY/JPY and TRY/CHF exchange rate within the scope of econophysics.Physica A: Statistical Mechanics and its Applications, 410, 414-420.
Jiang, C., Wang, Y., Chang, T., & Su, C.-W. 2015. Are there bubbles in Chinese RMB-dollar exchange rate?Evidence from generalized sup ADFtests. Applied Economics, 47, 6120-6135.
Sornette, D., Demos, G., Zhang, Q., Cauwels, P., Filimonov, V., & Zhang, Q. 2015. Real-time prediction and post-mortem analysis of the Shanghai 2015 stock market bubble and crash. Journal of Investment Strategies, 4, 77-95.
Johansen, A., Sornette, D., & Ledoit, O. 1999. Predicting financial crashes using discrete scale invariance. Journal of Risk, 1, 5-32.
Johansen, A., Ledoit, O., & Sornette, D. 2000. Crashes as critical points. International Journal of Theoretical and Applied Finance, 3, 219-255.
Sornette, D. 2017. Why stock markets crash: Critical events in complex financial systems. Princeton University Press.
Gluzman, S., & Sornette, D. 2002. Log-periodic route to fractal functions. Physical Review E, 65, 036142.
Filimonov, V., & Sornette, D. 2013. A stable and robust calibration scheme of the log-periodic power law model.Physica A: Statistical Mechanics and its Applications, 392, 3698-3707.
Jiang, Z., Zhou, W., Sornette, D., Woodard, R., Bastiaensen, K., &Cauwels, P. 2010. Bubble diagnosis and prediction of the 2005-2007 and 2008-2009 Chinese stock market bubbles. Journal of Economic Behavior and Organization, 74, 149-162.
Johansen, A., & Sornette, D. 2010. Shocks, crashes and bubbles in financial markets. Brussels Economic Review (Cahiers economiques de Bruxelles), 53, 201-253.
Zhang, Q., Zhang, Q., & Sornette, D. 2016. Early warning signals of financial crises with multi-scale quantile regressions of log-periodic power law singularities. PLoS One, 11, 0165819.