This article develops a novel nonparametric time-varying auto-regressive distributed-lag model to estimate and test the persistence of inflation. To characterize the temporal instability of persistence in the inflation process, our proposed model allows for time-varying coefficients with...

This paper proposes a system of semiparametric time-varying models for predictive regressions, where a locally stationary process in the form of time-varying autoregression is introduced to model varying-persistent predictors, and parameter instability and embedded endogeneity have also been...

We study the predictability of cross-sectional uncertainty (CSU) proposed by Dew-Becker and Giglio (2021) for stock returns. We find that CSU exhibits significant power for predicting monthly stock returns with annual out-of-sample R^2 of 6.34%, greater than popular predictors. CSU generates...

This paper proposes a novel time-varying present-value model to analyze the joint dynamics of stock returns and cash flows periodically. We use a nonparametric time-varying vector autoregressive model to examine the economic implications of the time-varying present-value model. By conducting...