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Massachusetts Institute of Technology

Forecasting office capitalization rates and risk premia in emerging markets

Abstract

dc:description.abstract

As international property investors increasingly understand and appreciate the benefits of diversification and look to achieve higher returns, cross-border real estate investment has increased. In this context, the issue of the country risk premium is crucial as these types of investments present a wide range of risk and return opportunities that need to be understood and, ideally, quantified. Naturally, the decision of whether or not to invest begins with an assessment of how much additional return is required to compensate for the additional risk associated with a particular country. Establishing these risk premiums is particularly difficult since cross-border investors often lack local market knowledge and encounter transparency issues when trying to gain an understanding of the market. These questions matter particularly to institutional investors looking to make allocation decisions across geographically diversified holdings. Given the problem of appropriate pricing in emerging markets, this study will attempt to forecast capitalization rates for these markets using widely available macroeconomic data and property-related market ratings. This cross-sectional study will employ univariate and multivariate regressions. We will initially identify various factors with a significant relationship to cap rates in markets where real estate pricing data is available. Office cap rate data from Real Capital Analytics (RCA), Jones Lang LaSalle-LaSalle Investment Management and Investment Property Databank (IPD) for sets of 23 to 25 overlapping countries will be used as dependent variables in the analysis. Once the significant factors have been established, we will extrapolate the model out to markets that have the necessary background data, but lack usable cap rate information. In other words, we will forecast cap rates for countries that lack data - as is typical for emerging markets.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Center for Real Estate
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2008

Author and committee

dc:creator, dc:contributor.*
Authors dc:creator
  • Dasgupta, Vipasha
  • Knapp, Alexander Ward Nathaniel
Advisor dc:contributor.advisor
  • William C. Wheaton.

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/59495
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/59495

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Dasgupta, Vipasha; Knapp, Alexander Ward Nathaniel. Forecasting office capitalization rates and risk premia in emerging markets. Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/59495