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...

This paper employs a century of the UK stock market data to examine various sate-space model specifications and Vector Autoregression (VAR) models to investigate how much expected returns and expected dividend growth contribute to movements in the UK price–dividend ratio. We show that the...

This article examines various state-space and VAR model specifications to investigate the contributions of expected returns and expected dividend growth to movements in the price-dividend ratio. We show that both models involve serious inference problems that need to be dealt with carefully. We...

Starting from the asset pricing approach of Engel and West, we examine the degree to which fundamentals can explain exchange rate fluctuations. We show that it is not possible to obtain sharp inferences about the relative contribution of fundamentals using only data on observed monetary...

We use a time-varying parameter dynamic factor model with stochastic volatility (DFM-TV-SV) estimated using Bayesian methods to disentangle the relative importance of the common component in FHFA house price movements from state-specific shocks, over the quarterly period of 1975Q2 to 2017Q4. We...