"We propose newly developed unsmoothing techniques which are based on a regime-switching Threshold Autoregressive (TAR) model. We first examine analytically conventional unsmoothing techniques which model the true returns by a linear Autoregressive (AR) process ñ and show that when true returns...

Linear models of market performance may be misspecified if the market is subdivided into distinct regimes exhibiting different behavior. Price movements in the United States real estate investment trusts and United Kingdom property companies markets are explored using a threshold autoregressive...

Quantitative analysis of property performance has tended to rely on linear models. This paper explores the possible insights of using non-linear, regime based models. It is argued that there may exist different regimes depending onthe level of real interest rates. This is tested empirically...

In this paper, we present a unified theory of linear smoothing, which looks at the problem from a time-series perspective. We use the term ‘conversion’ to refer to generic operations that create a difference between true returns and reported returns. ‘Smoothing’ occurs when that...

Performance indices for illiquid investments are known to suffer from returns smoothing, and the purpose of this paper is to investigate the presence and nature of such smoothing in the context of venture capital. We find that while the standard techniques may or may not indicate the presence of...

Historic analysis of the inflation hedging properties of stocks has produced anomalous results, with stocks often appearing to offer a perverse hedge against inflation. This has been attributed to the impact of real and monetary shocks to the economy, which influence both inflation and asset...

This paper presents estimates of an equilibrium-based dynamic adjustment model of the office market, using supply and demand relationships to link construction, absorption, vacancies and rents to employment growth and real interest rates. The model is estimated using data from the City of London...