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SSRN Electronic Journal
Article . 2016 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.7916/d8z...
Other literature type . 2016
Data sources: Datacite
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The Myth of Intrinsic Value

Authors: Dokhanian, Daniel;

The Myth of Intrinsic Value

Abstract

This work offers for analysis the discrepancy between the perceived and actual performance of multifamily real estate submarkets of major metropolises. The research encompasses a case study of nine submarkets in New York City, NY: Bronx County, Kings County (Brooklyn), Midtown West, Morningside Heights/Washington Heights, Queens County, Stuyvesant/Turtle Bay, the Upper East Side, the Upper West Side, and the West Village/Downtown. Two of these submarkets are scrutinized in particular: the Bronx and the Upper East Side. An examination of each market’s capitalization rates (between 2002 and 2016) serve to illustrate investor perceptions of these markets’ risk and growth metrics whereas rental and vacancy rates (between 1995 and 2016) are offered to elucidate the actual performance of markets judged by these same metrics. A review of each market’s returns between 2002 and 2016 is also given. The inconsistencies between CAP rates (perceptions) and rents/vacancies (reality) in these neighborhoods evoke the biases and misconceptions commonly purveyed in the real estate investment community and, to a degree, the potential pitfalls and flaws in traditional valuation methodologies applied to investment securities more generally.

Country
United States
Keywords

Apartment houses, 330, Real estate investment, Real estate development, 650

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green