We evaluate the empirical support for a broad class of long run risk models using information in factors extracted through principal component analysis of the covariance matrix of log price dividend ratios of twenty five equity portfolios formed on Size and Book-to-Market. We identify two...

We present a latent variable model of dividends that predicts, out-of-sample, 39.5% to 41.3% of the variation in annual dividend growth rates between 1975 and 2016. Further, when learning about dividend dynamics is incorporated into a long-run risks model, the model predicts, out-of-sample,...

We show that, in a frictionless and efficient market, an asset pricing model that better describes investors' behavior should better forecast stock index returns. We propose a dividend model that predicts, out-of-sample, 31.3% of the variation in annual dividend growth rates (1976-2015)....

According to the dynamic version of the Gordon growth model, the long-run expected return on stocks, stock yield, is the sum of the dividend yield on stocks plus some weighted average of expected future growth rates in dividends. We construct a measure of stock yield based on sell-side analysts'...