The correlation between stock and housing prices, which is critical for household asset allocations, varies widely by metropolitan area and country. A general equilibrium model demonstrates that an aggregate positive technology shock increases stock prices and housing demand but can decrease...

This paper develops and estimates a model to explain the behaviour of house prices in the United States. The main finding is that over 70% of the increase in house prices relative to trend during the increase of house prices in the United States from 1995 to 2006 can be explained by a pricing...

This paper examines the effect of visual technology on the price discovery process in listings of residential properties. We empirically model the effects of 360 virtual tours and drone video on four dimensions in price discovery — buyers’ arrival rate, sale probability, transaction prices...

Reforms aimed at reducing the regulatory barriers to firm entry and bolstering greater firm creation have gained significant prominence in economies beyond the U.S. Given these facts and amid growing work on the link between firm creation and cyclical housing-market dynamics, we document a...

This paper empirically examines the theoretically ambivalent relationship between socially responsible investing (SRI) and stock performance. It extends the existing literature by considering both the US and the entire European stock markets as well as by using consistent world-wide corporate...

We report results on the ex ante predictability of monthly excess stock returns in Germany using real-time and revised macroeconomic data. Our real-time macroeconomic data cover the period 1994-2005. We report three results. 1) Real-time macroeconomic data did not contribute much to ex ante...

Using monthly data for the period 1953-2003, we apply a real-time modeling approach to investigate the implications of U.S. political stock market anomalies for forecasting excess stock returns. Our empirical findings show that political variables, selected on the basis of widely used model...

We compared forecasts of stock market volatility based on real-time and revised macroeconomic data. To this end, we used a new dataset on monthly real-time macroeconomic variables for Germany. The dataset covers the period 1994-2005. We used a statistical, a utility-based, and an options-based...

An asymmetric multivariate generalization of the recently proposed class of normal mixture GARCH models is developed. Issues of parametrization and estimation are discussed. Conditions for covariance stationarity and the existence of the fourth moment are derived, and expressions for the dynamic...

We develop a multivariate generalization of the Markov-switching GARCH model introduced by Haas, Mittnik, and Paolella (2004b) and derive its fourth-moment structure. An application to international stock markets illustrates the relevance of accounting for volatility regimes from both a...