2026-09-20T04:57:13Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/843762026-06-06T01:05:40Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
David Geltner.
Paradkar, Sarwesh
Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.
Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.
Massachusetts Institute of Technology. Center for Real Estate
2014-01-23T18:39:56Z
2014-01-23T18:39:56Z
2013
http://hdl.handle.net/1721.1/84376
867637231
Thesis (S.M. in Real Estate Development)--Massachusetts Institute of Technology, Program in Real Estate Development in Conjunction with the Center for Real Estate, 2013.
Cataloged from PDF version of thesis.
The model developed here provides an enhancement of the traditional DCF asset acquisition valuation template, in Excel. It provides a relatively transparent and user-friendly yet flexible risk-adjusted valuation of a subject individual acquisition, structured to consider the asset either as a core asset or a value-add asset. This study applies a basic stock flow model of space market dynamics to address the question of covariance among input variables. The model is designed with optional probabilistic inputs and historical data for the local space market (employment, rents, net rentable area, occupied space, new completions, vacancy and absorption) and the asset market (cap rates history) to produce a 15-year forecast for the relevant space and asset market for the subject property. An optional optimal rent module in the model uses the forecasted cap rates and consequent opportunity cost of capital to arrive at optimal asking rents for the subject property. The existing rent roll is combined with the future rents and vacancies along with asset level projections of operating costs and capital expenditures to arrive at the cash flow projections. Renewal probability and probability to lease up are major differentiating factors between the core and value add asset. The model also enables the user to optionally consider how flexibility in resale timing can improve the overall return performance from a probabilistic perspective. The output of the model includes an apprehension of the entire going-in risk return relationship, depicted relative to a relevant security market line generated by the input risk free interest rate and the opportunity cost of capital in the relevant asset market. Key words: Probabilistic, risk adjusted valuation, forecast, optimal rent, flexibility, renewal probability, probability to lease up.
by Sarwesh Paradkar.
S.M. in Real Estate Development
18 pages
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Center for Real Estate. Program in Real Estate Development.
Risk adjusted asset valuation using a probabilistic approach with optimized asking rents and resale timing options
Thesis
application/pdf
false
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="7d8c4d48-3e6a-4c30-b1a2-0dfc384ff626">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>Risk adjusted asset valuation using a probabilistic approach with optimized asking rents and resale timing options</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2013</PublicationDate>
<Authors>
<Author>
<DisplayName>Paradkar, Sarwesh</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Center for Real Estate. Program in Real Estate Development.</Keyword>
<Abstract>The model developed here provides an enhancement of the traditional DCF asset acquisition valuation template, in Excel. It provides a relatively transparent and user-friendly yet flexible risk-adjusted valuation of a subject individual acquisition, structured to consider the asset either as a core asset or a value-add asset. This study applies a basic stock flow model of space market dynamics to address the question of covariance among input variables. The model is designed with optional probabilistic inputs and historical data for the local space market (employment, rents, net rentable area, occupied space, new completions, vacancy and absorption) and the asset market (cap rates history) to produce a 15-year forecast for the relevant space and asset market for the subject property. An optional optimal rent module in the model uses the forecasted cap rates and consequent opportunity cost of capital to arrive at optimal asking rents for the subject property. The existing rent roll is combined with the future rents and vacancies along with asset level projections of operating costs and capital expenditures to arrive at the cash flow projections. Renewal probability and probability to lease up are major differentiating factors between the core and value add asset. The model also enables the user to optionally consider how flexibility in resale timing can improve the overall return performance from a probabilistic perspective. The output of the model includes an apprehension of the entire going-in risk return relationship, depicted relative to a relevant security market line generated by the input risk free interest rate and the opportunity cost of capital in the relevant asset market. Key words: Probabilistic, risk adjusted valuation, forecast, optimal rent, flexibility, renewal probability, probability to lease up.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>