The 2006 sudden and immense downturn in U.S. House Prices sparked the 2007 global financial crisis and revived the interest about forecasting such imminent threats for economic stability. In this paper we propose a novel hybrid forecasting methodology that combines the Ensemble Empirical Mode...

This paper investigates the long-run impact of inflation on homeowner equity in South Africa by analysing the relationship between house prices and the prices of non-housing goods and services. Quarterly data series are collected for the luxury, large middle-segment, medium middle-segment, small...

This paper considers the ability of large-scale (involving 145 fundamental variables) time-series models, estimated based on dynamic factor analysis and Bayesian shrinkage, to forecast real house price growth rates of the four US census regions and the aggregate US economy. Besides, the standard...

This paper examines asymmetries in the impact of monetary policy on the middle segment of the South African housing market from 1966:M2 to 2011:M12. We use Markov-switching vector autoregressive (MS-VAR) models in which parameters change according to the phase of the housing cycle. The results...

This paper analyses the relationship between house prices and the trade balance in South Africa using an agnostic identification procedure. This method allows a housing demand shock to be identified in an eight-variable VAR model by imposing sign restrictions on the impulse responses of consumer...

This paper empirically examines the causal linkages between policy uncertainty and house prices in a panel of seven advanced countries including Canada, France, Germany, Italy, Spain, the UK and the US. We implement a bootstrap panel causality test on quarterly data from 2001Q1 to 2013Q1, which...

This paper considers how monetary policy, a Federal funds rate shock, affects the dynamics of the US housing sector and whether the financial market liberalization of the early 1980’s influenced those dynamics. The analysis uses impulse response functions obtained from a large-scale Bayesian...

We employ a 10-variable dynamic structural general equilibrium model to forecast the US real house price index as well as its turning point in 2006:Q2. We also examine various Bayesian and classical time-series models in our forecasting exercise to compare to the dynamic stochastic general...

We analyse the impact of financial liberalisation on the link between monetary policy and house prices. We present a simple model of a small open economy subject to credit constraints. The model shows that the higher the degree of financial liberalisation, the stronger is the impact of interest...

We implement several Bayesian and classical models to forecast housing prices in 20 US states. In addition to standard vector-autoregressive (VAR) and Bayesian vector autoregressive (BVAR) models, we also include the information content of 308 additional quarterly series in some models. Several...