Practical Applications of Improving U.S. Stock Return Forecasts: A 'Fair-Value' CAPE Approach

Autor: Joseph H. Davis, Harshdeep Ahluwalia, Ravi Tolani, Roger Aliaga-Díaz
Rok vydání: 2018
Předmět:
Zdroj: Practical Applications. 6:1.9-6
ISSN: 2329-020X
2329-0196
DOI: 10.3905/pa.6.1.275
Popis: Practical Applications Summary In Improving U.S. Stock Return Forecasts: A “Fair-Value” CAPE Approach , published in the Winter 2018 issue of The Journal of Portfolio Management , authors Joseph Davis, Roger Aliaga-Diaz, Harshdeep Ahluwalia (all with the Vanguard Group ), and Ravi Tolani (of Duke University ) introduce a new method of forecasting equity returns in real time (not in sample) using the cyclically adjusted price-to-earnings(CAPE) ratio. They call the result a “fair-value CAPE model” to distinguish it from traditional approaches that use CAPE ratios to forecast future equity returns. The authors demonstrate that their fair-value CAPE provides a better tool for forecasting of future stock returns in real time than the original CAPE and its subsequent variants. The new twist in the fair-value CAPE model is the use of bond yields, inflation, and volatility in calculating the ratio. The authors forecast (as of July 2017) that the return on U.S. stocks over a 10-year period would be 4.9%, which is lower than the long-term historical average.
Databáze: OpenAIRE