DMS, AE, DAA: methods and applications of adaptive time series model selection, ensemble, and financial evaluation
DMS、AE 与 DAA:自适应时间序列模型选择、集成及金融评价
We introduce three adaptive time series learning methods, called Dynamic Model Selection (DMS), Adaptive Ensemble (AE), and Dynamic Asset Allocation (DAA). The methods respectively handle model selection, ensembling, and contextual evaluation in financial time series. Empirically, we use the methods to forecast the returns of four key indices in the US market, incorporating information from the VIX and Yield curves. We present financial applications of the learning results,…