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The CARR\u2010MIDAS model exploits intraday information from the intraday high and low prices, which has the capacity to capture the high persistence of conditional range (volatility). The empirical results show that the range\u2010based CARR\u2010MIDAS model provides more accurate out\u2010of\u2010sample forecasts of the renminbi exchange rate volatility compared to the return\u2010based GARCH and GARCH\u2010MIDAS models and the range\u2010based CARR model for forecast horizons of 1\u2009day up to 3\u2009months. In addition, the superior predictive ability of the CARR\u2010MIDAS model is robust to different forecast windows. Hence, our CARR\u2010MIDAS model provides a promising tool for forecasting the renminbi exchange rate volatility.<\/jats:p>","DOI":"10.1155\/2022\/3127761","type":"journal-article","created":{"date-parts":[[2022,4,26]],"date-time":"2022-04-26T21:35:11Z","timestamp":1651008911000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Forecasting Renminbi Exchange Rate Volatility Using CARR\u2010MIDAS 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