At the peak of the tech bubble, only 0.57% of market valuation comes from dividends in the next year. Taking the ratio of total market value to the value of one-year dividends, we obtain a valuation-based duration of 175 years. In contrast, at the height of the global financial crisis, more than 2.2% of market value is from dividends in the next year, implying a duration of 46 years. What drives valuation duration? We find that market participants have limited information about cash flow beyond one year. Therefore, an increase in valuation duration is due to a decrease in the discount rate rather than good news about long-term growth. Accordingly, valuation duration negatively predicts annual market return with out-of-sample R2 of 15%, robustly outperforming other predictors in the literature. While the price-dividend ratio reflects the overall valuation level, our valuation-based measure of duration captures the slope of the valuation term structure. We show that valuation duration, as a discount rate proxy, is a critical state variable that augments the price-dividend ratio in spanning the (latent) state space for stock-market dynamics.

Aggregate earnings are three times as volatile as stock prices. The price-earnings (PE) ratio is,

therefore, driven by earnings and uninformative about the level of stock prices. The high earnings volatility explains recent findings that investors’ expectations of short-term earnings explain almost all PE ratio variation. To address this, investors have adopted their own earnings measure (Street earnings) which removes various transitory items with little relevance for future firm performance. We show that the PE ratio constructed with Street earnings predicts stock returns in-sample and out-of-sample, and is, therefore, informative about the level of stock prices. We also document that variation in the Street PE ratio is less explained by short-term earnings expectations but related to investors’ expectations of returns and long-term earnings (LTG) growth.

I develop a framework to quantify which features of investors’ dynamic trading strategies lead to momentum in equilibrium. I distinguish persistent demand shocks, capturing underreaction, and the term structure of demand elasticities, representing arbitrage intensities decreasing with investor horizon. I introduce both channels into an asset demand system that I estimate from institutional investors’ portfolio holdings and prices. Investors respond more to short-term than longer-term price changes: the term structure of elasticities is downward-sloping, creating momentum, whereas demand shocks mean-revert, contributing toward reversal. Stocks with more investors with downward-sloping term structures exhibit stronger momentum returns by 7% per year.