混沌演化视角下的人民币汇率再探索：区间有序、路径难测

Model Framework - A random forest model was constructed to analyze the log change rate of the USD/CNY exchange rate based on monthly data since 2010[1] - The model's predictive ability was tested using out-of-sample backtesting methods, showing that it struggled to outperform a random walk benchmark[2] - The model captures low amplitude characteristics in the prediction sequence, indicating that macro variables primarily constrain the exchange rate's central tendency rather than accurately depicting short-term fluctuations[3] Predictive Insights - A conditional 12-month forecast suggests a moderate appreciation of the RMB, with the predicted central tendency around 6.9[5] - The RMB exchange rate is expected to evolve within an orderly range, reflecting chaotic evolution characteristics, with a lack of predictability in specific path trajectories[14] - The model indicates that macroeconomic variables impose long-term constraints on the exchange rate but do not effectively explain short-term volatility driven by risk preference shifts or external shocks[4] Economic Implications - The findings provide a robust analytical basis for understanding exchange rate mechanisms, guiding market expectations, and managing macro policy rhythms[15] - The RMB's short-term volatility remains largely unpredictable, suggesting that immediate market disturbances do not necessitate reactive policy adjustments[15] - The analysis emphasizes the importance of recognizing the inherent unpredictability of short-term exchange rate movements while maintaining a stable central tendency under macro constraints[5]