"We consider various MIDAS (Mixed Data Sampling) regression models to predict volatility. The models differ in the specification of regressors (squared returns, absolute returns, realized volatility, realized power, and return ranges), in the use of daily or intra-daily (5-minute) data, and in...

We propose forecasting separately the three components of stock market returns: the dividend-price ratio, earnings growth, and price-earnings ratio growth - the sum-of-the-parts (SOP) method. Our method exploits the different time-series persistence of the components and obtains out-of-sample...