Oil price changes fail to predict asset returns because they are too noisy. We construct an oil trend factor that filters out noise and provide evidence that it predicts bond risk premia well. This result holds in developed and emerging countries, both in sample and out of sample. Notably, the...

Pastor and Stambaugh (2012) demonstrate that from a forward-looking perspective, stocks are more volatile in the long run than they are in the short run. We investigate how the economic constraint of non-negative equity premia aspects predictive variance. When investors expect non-negative...

This paper presents and estimates a regime switching macro-finance model of the term structure with latent and macroeconomic factors. The joint dynamics of the yield and macro factors are examined simultaneously. Both the canonical yields-only model and the macro-finance model capture two...

We extract global yield curve factors based on the affine arbitrage-free dynamic Nelson-Siegel model. The measure of integration proposed in the paper allows time-varying partial segmentation of national and global government bond markets. It takes into account the maturity structure of yields,...

We construct an equilibrium term structure model that is robust to economic agent's uncertainty about the true data generating process. The low-dimensional two-factor long-run risk model captures the intuition that an ambiguity averse agent behaves pessimistically by attaching more weight to the...

A well-known puzzle in international finance is that fluctuations in exchange rate are very difficult to predict and existing predictive models often perform worse than the naive random walk model. In this paper, we construct an oil trend factor and find that it performs better than the naive...

Relying on a comprehensive data set of news releases, we construct monthly firm-level news sentiment scores during the 2000–2016 period and document a news momentum phenomenon of stocks with more positive news in the past generating more positive news in the future. We propose three hypotheses...

We document the opposite predictive signals in the morning and afternoon stock returns. Afternoon returns negatively predict future returns, while morning returns positively predict future returns. The short-term reversal is completely driven by the price movement in the afternoon; momentum is...

This paper examines whether rare disaster can predict stock returns. We construct an aggregate rare disaster index by imposing the partial least square (PLS) approach on six news-implied rare disaster proxies of Manela and Moreira (2017). Our disaster measure strongly predicts monthly excess...

We propose a news-implied rare disaster risk indicator and study its predictive power on the returns of U.S. Treasury bonds. We find that the predictive power of this factor is both statistically significant and economically important and is not spanned by the current yield curve. The disaster...