A Review of Research on the Unstable Relation Between Exchange Rates and Their Fundamentals
综述了汇率与基本面关系不稳定的研究，总结了1987年以来采用时变参数、动态权重组合、贝叶斯平均等新统计方法的预测技术，为研究者和市场参与者提供建议。
ABSTRACT Economic fundamental models often perform poorly in exchange rate forecasting. Theory and empirical evidence suggest that one likely reason is that the relation between the exchange rate and fundamentals is highly unstable, with frequent changes in the best predictors. Since 1987, researchers have applied new statistical methods to better capture the time‐varying relations, applying models with time‐varying parameters, forecast combinations with dynamic weights, Bayesian model averaging, automated model selection criteria, and machine learning techniques. In this review, we synthesize the results of these studies, highlight the forecasting techniques with the most promising performance, and provide recommendations for researchers and market participants.