<?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>2026-09-21T13:28:09Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/58645" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/58645</identifier><datestamp>2026-06-06T01:05:33Z</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">David M. Geltner.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Flowers, Matthew S</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Center for Real Estate.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Center for Real Estate</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Urban Studies and Planning</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2010-09-22T15:59:13Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2010-09-22T15:59:13Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2008</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2008</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/58645</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">315888415</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M. in Real Estate Development)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, Center for Real Estate, 2008.</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">Includes bibliographical references (leaf 69).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This paper introduces three new tools for the analysis and replication of real estate development returns. In particular, this paper discusses advanced sensitivity analysis, real estate development return indexes and synthetic real estate development investments. The advanced sensitivity analysis allows us to produce subjective ex ante return distributions. This analysis will allow developers and investors to "see" the shape of their investments return distribution. The benefits of knowing the shape of the subjective ex ante return distributions is that it may help developers and investors make better decisions and negotiate specific terms with each contributor in the capital structure. The ex post analysis allows us to produce development return indexes useful in the benchmarking of real estate development performance and in the creation of synthetic development investments by way of the new real estate derivatives. The development return indexes are created by transforming MIT's Transaction Based Index (TBI), which tracks stabilized property returns, into development return indexes through the use of a stylized mathematical model.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Matthew S. Flowers.</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">69 leaves</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 &#xd;
copyright. They may be viewed from this source for any purpose, but &#xd;
reproduction or distribution in any format is prohibited without written &#xd;
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">Urban Studies and Planning.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Center for Real Estate.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Show me the money : a study of real estate development returns</dim:field>
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   	&lt;Title>Show me the money : a study of real estate development returns&lt;/Title>
   	&lt;Subtitle>Study of real estate development returns&lt;/Subtitle>
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   	&lt;Abstract>This paper introduces three new tools for the analysis and replication of real estate development returns. In particular, this paper discusses advanced sensitivity analysis, real estate development return indexes and synthetic real estate development investments. The advanced sensitivity analysis allows us to produce subjective ex ante return distributions. This analysis will allow developers and investors to &amp;quot;see&amp;quot; the shape of their investments return distribution. The benefits of knowing the shape of the subjective ex ante return distributions is that it may help developers and investors make better decisions and negotiate specific terms with each contributor in the capital structure. The ex post analysis allows us to produce development return indexes useful in the benchmarking of real estate development performance and in the creation of synthetic development investments by way of the new real estate derivatives. The development return indexes are created by transforming MIT&amp;apos;s Transaction Based Index (TBI), which tracks stabilized property returns, into development return indexes through the use of a stylized mathematical model.&lt;/Abstract>
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