<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-22T09:32:17Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/92605" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/92605</identifier><datestamp>2021-07-05T14:03:20Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Walter Torous.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Khomassi, Nason</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Shah, Swapn</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Center for Real Estate</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="accessioned">2015-01-05T19:35:32Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2015-01-05T19:35:32Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2014</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2014</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/92605</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">898188709</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2014.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 62-63).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The main objective of this study is to understand and analyze the risk adjusted returns of office building and portfolios and determine whether institutional real estate investors are allocating capital efficiently. NCREIF data from years 1999 to 2014 years will be analyzed. The data will be split into three proportional classes, upper (Class A), middle (Class B), and tertiary (Class C) classes based on asset price per square foot and then their risk adjusted returns will be analyzed with the Sharpe Ratio. Further, based on these findings, the thesis will determine whether a quantitative measure of building classification can be established. Currently, real estate assets, office or otherwise, are only classified qualitatively</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Nason Khomassi and Swapn Shah.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Real Estate Development</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">77 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Center for Real Estate. Program in Real Estate Development.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Comparing returns of real estate assets in gateway US markets</dim:field>
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   	&lt;Title>Comparing returns of real estate assets in gateway US markets&lt;/Title>
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   	&lt;PublicationDate>2014&lt;/PublicationDate>
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   	&lt;Abstract>The main objective of this study is to understand and analyze the risk adjusted returns of office building and portfolios and determine whether institutional real estate investors are allocating capital efficiently. NCREIF data from years 1999 to 2014 years will be analyzed. The data will be split into three proportional classes, upper (Class A), middle (Class B), and tertiary (Class C) classes based on asset price per square foot and then their risk adjusted returns will be analyzed with the Sharpe Ratio. Further, based on these findings, the thesis will determine whether a quantitative measure of building classification can be established. Currently, real estate assets, office or otherwise, are only classified qualitatively&lt;/Abstract>
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