"As real estate forms a significant part of the asset portfolios of most investors and lenders, it is crucial that analysts and institutions employ sound techniques for modelling and forecasting the performance of real estate assets. Assuming only a basic understanding of econometrics, this book...

This paper employs a probit model and a Markov switching model using information from the Conference Board Leading Indicator series to detect the turning points in four key US commercial rents series. We find that both the approaches based on the leading indicator have considerable power to...

This paper is the first to utilize a direct test for periodic, partially collapsing speculative bubbles in US REIT prices. A long history of data is employed for the All, Mortgage and Equity REIT categories. This approach is more powerful than existing tests and is based on the formulation of a...

This paper employs a vector autoregressive model to investigate the impact of macroeconomic and financial variables on a UK real estate return series. Our results indicate that unexpected inflation, and the interest rate term spread have explanatory power for the property market. However the...

This study models retail rents in the UK using a vector autoregressive and time series models. Two retail rent series are used, compiled by LaSalle Investment Management and CB Hillier Parker, and the emphasis is on forecasting. The results suggest that the use of the vector autoregression and...