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Using principal component analyses, this paper constructs two internationalization indicesfor the renminbi (RMB) and 32 other major currencies. We find that the RMB's currency internationalization degree index (CIDI) is still low, and far behind the 4 most important international currencies. In 2009, it was ranked 18th among all important international currencies. However, in terms of the currency internationalization prospect index (CIPI), the RMB has remained the world's fifth highest since 2006. Although it is still far behind the US dollar and the euro, surpassing the ranking of the yen and the pound is possible in the near future. The dramatic difference in the ranking between the CIDI and the CIPI is a result of China's tight capital account control, the usage continuity of international currency due to network externalities, and the narrow foreign exchange and imperfect financial markets. Hence, to a large degree, the RMB's potential as an international currency depends on China's capital account liberalization.

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BackgroundThe Taiwan CDC relied on the historical average number of disease cases or rate (AVG) to depict the trend of epidemic diseases in Taiwan. By comparing the historical average data with prediction markets, we show that the latter have a better prediction capability than the former. Given the volatility of the infectious diseases in Taiwan, historical average is unlikely to be an effective prediction mechanism.MethodsWe designed and built the Epidemic Prediction Markets (EPM) system based upon the trading mechanism of market scoring rule. By using this system, we aggregated dispersed information from various medical professionals to predict influenza, enterovirus, and dengue fever in Taiwan.ResultsEPM was more accurate in 701 out of 1,085 prediction events than the traditional baseline of historical average and the winning ratio of EPM versus AVG was 64.6 % for the target week. For the absolute prediction error of five diseases indicators of three infectious diseases, EPM was more accurate for the target week than AVG except for dengue fever confirmed cases. The winning ratios of EPM versus AVG for the confirmed cases of severe complicated influenza case, the rate of enterovirus infection, and the rate of influenza-like illness in the target week were 69.6 %, 83.9 and 76.0 %, respectively; instead, for the prediction of the confirmed cases of dengue fever and the confirmed cases of severe complicated enterovirus infection, the winning ratios of EPM were all below 50 %.ConclusionsExcept confirmed cases of dengue fever, EPM provided accurate, continuous and real-time predictions of four indicators of three infectious diseases for the target week in Taiwan and outperformed the historical average data of infectious diseases.

This paper devises a methodology to compare the accuracy of prediction markets and polls. The data of the Exchange of Future Events (xFuture) for Taiwan’s 2006 mayoral elections and 2008 presidential election show that the prediction markets outperform the opinion polls in various indices of accuracy. In terms of the last forecast before the election date, the accuracy of the prediction markets is 3 to 10 percent higher than that of the opinion polls. When comparing the accuracy of historical forecasts, the prediction markets outperform the polls in 93 to 100 percent of the cases. Moreover, the average accuracy of the prediction markets is 9 to 10 percent higher than that of the polls, with a standard deviation more than 2 percent less than that of the polls. To examine the robustness of these comparisons, this paper conducts two tests including daily forecast and normalized accuracy, and finds that the prediction markets successfully pass the tests with a significantly better accuracy than the polls.