We examine the role of structural breaks in forecasting stock return volatility. We begin by testing for structural breaks in the unconditional variance of daily returns for the S&P 500 market index and ten sectoral stock indices for 9/12/1989–1/19/2006 using an iterative cumulative sum of...

Forecasting macroeconomic variables using diffusion indexes in short samples with structural change / Anindya Banerjee, Massimiliano Marcellino, Igor Masten -- Predictive inference under model misspecification / Nii Ayi Armah, Norman R. Swanson -- Forecasting persistent data with possible...

Breaking ground from all previous studies, we estimate a time-varying Vector Autoregression model that examines the time-period 1270-2016 - the entire economic history of the U.K. Focusing on permanent and transitory shocks in the economy, we study the fluctuation in conditional volatilities and...

This paper proposes a latent factor approach based on a state-space framework in order to identify which factor, if any, dominates price fluctuations in the Chinese stock markets. We also illustrate the connection of such stock price decomposition with several general equilibrium asset pricing...