Working Paper: CEPR ID: DP7199
Authors: Lubo Pstor; Robert F. Stambaugh
Abstract: Conventional wisdom views stocks as less volatile over long horizons than over short horizons due to mean reversion induced by return predictability. In contrast, we find stocks are substantially more volatile over long horizons from an investor's perspective. This perspective recognizes that parameters are uncertain, even with two centuries of data, and that observable predictors imperfectly deliver the conditional expected return. We decompose return variance into five components, which include mean reversion and various uncertainties faced by the investor. Although mean reversion makes a strong negative contribution to long-horizon variance, it is more than offset by the other components. Using a predictive system, we estimate annualized 30-year variance to be nearly 1.5 times the 1-year variance.
Keywords: long-run risk; stock; variance
JEL Codes: G11; G23
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
Cause | Effect |
---|---|
mean reversion (C22) | long-horizon variance (C58) |
uncertainty about future expected returns (D84) | long-horizon variance (C58) |
uncertainty about current expected return (D84) | long-horizon variance (C58) |
estimation risk (C13) | long-horizon variance (C58) |
IID uncertainty (C36) | long-horizon variance (C58) |
long-horizon variance (C58) | perceived volatility (G17) |
mean reversion + uncertainty about future expected returns + uncertainty about current expected return + estimation risk + IID uncertainty (D84) | long-horizon variance (C58) |