688
Views
9
CrossRef citations to date
0
Altmetric
Papers

Predicting uncertainty: the impact of risk measurement on value of real estate portfolios

, , &
Pages 1-17 | Received 11 Aug 2015, Accepted 22 Jan 2016, Published online: 19 Feb 2016
 

Abstract

This paper presents a theoretical framework for an assessment and valuation of real estate assets and funds, based on modern stochastic discounted cash flow (DCF) models, which accurately captures the nature of related risks. We show that an accurate risk-adjusted valuation is particularly difficult for real estate investments, due to practical limits to diversification and difficulties in approximating total risk with systematic risk. We develop a risk assessment framework that includes idiosyncratic risk but focuses on insolvency risk related to a specific cash flow profile. We also present a methodology of rating this risk, using forecasts and simulations. We conclude that simulation techniques are a valuable tool in property risk assessment. Further, we show that cost of capital and value of assets depend on diversification of specific risks, investors can achieve in their portfolios.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.