Eres : Digital Library : Works

Paper eres2003_194:
Regime switching in yield structures and forecasting securitised real estate returns

id eres2003_194
authors Krystaloyanni, Alexandra; Tsolacos Sotiris
year 2003
title Regime switching in yield structures and forecasting securitised real estate returns
source 10th European Real Estate Society Conference (10-13 June 2003) Helsinki, Finland
summary The predictability of real estate returns has been a subject of significant examination by real estate research. Several studies have found that real estate returns are predictable suggesting the existence of profitable trading opportunities. Empirical linear and non-linear methods have been employed, which use a number of series as predictors including interest rates and their differentials, dividend yields and inflation. The present study extends the existing work and focuses on the structure of yields between broad asset classes (real estate, equities and government bonds) and the implications for portfolio allocation decisions and real estate investment. It is based on the premise that investment asset markets are integrated and that differentials in the yields on assets trigger switching of funds among asset classes. Therefore we investigate the claim that the yield ratios of indirect to direct real estate and of real estate to equities or bonds contain useful information for determining the likely direction of future real estate returns. A Markov switching regime approach is deployed to allow for different states in yield differentials. The Markov model identifies distinct regimes for the yield ratios of indirect to direct real estate, indirect real estate to equities and direct real estate to gilts. Trading rules are developed based on the filtered real time probabilities of the regime switching models. It is observed that the regime switching trading rules generate a superior risk-return profile than simple buy-and-hold strategies.
keywords Real estate investment; Market integration; Markov model; Yield structure; Arbitrage; Regime switching trading rules
series ERES:conference
email alex.krystalogianni@pma.co.uk
discussion No discussions. Post discussion ...
ratings
session Session 6, Modelling & forecasting yields
last changed 2008/12/29 19:09
HOMELOGIN (you are user _anon_759613 from group guest) Powered by SciX Open Publishing Services 1.002