Previously published as: Journal of Property Valuation and Investment
Online from: 1999
Subject Area: Built Environment
Options: To add Favourites and Table of Contents Alerts please take a Emerald profile
|Title:||Portfolio optimisation and bootstrapping|
|Author(s):||Rahul Srivatsa, (Aberdeen Property Investors, London, UK), Andrew Smith, (Aberdeen Property Investors, London, UK), Jon Lekander, (Aberdeen Property Investors, London, UK)|
|Citation:||Rahul Srivatsa, Andrew Smith, Jon Lekander, (2010) "Portfolio optimisation and bootstrapping", Journal of Property Investment & Finance, Vol. 28 Iss: 1, pp.24 - 33|
|Keywords:||Assets management, Computer bootstrapping, Financial markets, Market value, Property, United Kingdom|
|Article type:||Research paper|
|DOI:||10.1108/14635781011020029 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
|Acknowledgements:||The authors would like to acknowledge Dr Andrew Patton, at Oxford University, for his work in bootstrapping, among others.|
Purpose – The purpose of this paper is to develop a more robust methodology for asset allocation for the property investment market which takes into account inherent valuation and data issues.
Design/methodology/approach – The methodology applied is that of a bootstrap, borrowed from Carlstein, and is applied to an investment universe consisting of UK equities, gilts and property. The bootstrap selectively re-samples the return time series by maintaining the economic cycle. The resulting return series is then used in the standard mean-variance optimisation (MVO) on an unconstrained basis. Finally, a “sanity” test is applied on the correlation matrix to ensure that spurious instances do not skew the results.
Findings – The bootstrapped optimisation provides a range within which the portfolio weights can be manoeuvred instead of a static point under the standard MVO. It provides a more robust methodology for asset allocation and without giving any undue significance to one year of extreme result.
Research limitations/implications – The current analysis is based on unconstrained portfolio optimisation, with a very limited investment universe. Additionally, by conforming with the MVO methodology, normality of asset returns is implicitly assumed, which is clearly not the case in the data used. Future work will also focus on an all-property portfolio.
Practical implications – The proposed methodology will prove to be useful for making asset allocation decisions, particularly in turbulent financial markets.
Originality/value – The paper focuses solely on bootstrapping with the IPD UK annual index and is particularly significant after one year of extremely poor performance of UK property. The results will be of use to fund managers and portfolio analysts.
To purchase this item please login or register.
Complete and print this form to request this document from your librarian