The fact that REIT returns display rich dynamic time series properties, such as conditional heteroskedasticity and time-varying risk premia, has recently come to the forefront of the real estate finance literature. In this paper we document the presence of Markov switching regimes in expected...

The fact that REIT returns display rich dynamic time series properties, such as conditional heteroskedasticity and time-varying risk premia, has recently come to the forefront of the real estate finance literature. In this paper we document the presence of Markov switching regimes in expected...

We propose a Markov Switching Graphical Seemingly Unrelated Regression (MS-GSUR) model to investigate time-varying systemic risk based on a range of multi-factor asset pricing models. Methodologically, we develop a Markov Chain Monte Carlo (MCMC) scheme in which latent states are identified on...

Most papers in the portfolio choice literature have examined linear predictability frameworks based on the idea that simple but flexible Vector Autoregressive (VAR) models can be expanded to produce portfolio allocations that hedge against the bull and bear dynamics typical of financial markets...