We review the literature on return and cash-flow growth predictability from the perspective of the present-value identity. We focus predominantly on recent work. Our emphasis is on US …
We propose a new investor sentiment index that is aligned with the purpose of predicting the aggregate stock market. By eliminating a common noise component in sentiment proxies …
DE Rapach, JK Strauss, G Zhou - The Review of Financial …, 2010 - academic.oup.com
Welch and Goyal (2008) find that numerous economic variables with in-sample predictive ability for the equity premium fail to deliver consistent out-of-sample forecasting gains …
T Dangl, M Halling - Journal of Financial Economics, 2012 - Elsevier
We evaluate predictive regressions that explicitly consider the time-variation of coefficients in a comprehensive Bayesian framework. For monthly returns of the S&P 500 index, we …
BS Paye - Journal of Financial Economics, 2012 - Elsevier
Aggregate stock return volatility is both persistent and countercyclical. This paper tests whether it is possible to improve volatility forecasts at monthly and quarterly horizons by …
By applying machine learning to the accurate and cost-effective classification of photos based on sentiment, we introduce a daily market-level investor sentiment index (Photo …
In this paper we show that Indian stock returns, based on industry portfolios, portfolios sorted on book-to-market, and on size, are predictable. While we discover that this predictability …
Theoretically, the implied cost of capital (ICC) is a good proxy for time-varying expected returns. We find that aggregate ICC strongly predicts future excess market returns at …
Q Lin - Journal of financial markets, 2018 - Elsevier
This paper provides an empirical evaluation of the US aggregate stock market predictability based on a new technical analysis index that eliminates the idiosyncratic noise component …