<?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>2026-09-19T01:25:44Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/81012" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/81012</identifier><datestamp>2022-01-13T07:54:52Z</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">Robert C. Merton.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Sadalla, Marco Antonio V. (Marco Antonio Vieira)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2013-09-24T19:36:55Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2013-09-24T19:36:55Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/81012</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">857790178</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2013.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 94-97).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Financial bubbles have presented a challenge for the financial markets for a long time and caused steep losses for many investors. This thesis has two main goals relating to financial bubbles. The first is to try to determine if it is possible to find out if a financial bubble is forming. To accomplish that, the economic theories that govern bubble formation and burst are analyzed and the models that exist to predict bubble formation are discussed. A new model is suggested and is applied in the US financial markets to determine if any of the asset classes are currently risking the development of a bubble. This analysis suggests that one asset class is likely to be developing a bubble and this thesis further discusses this asset class. The second objective of this thesis is to suggest alternatives that prudent investors could introduce to protect themselves from some of the worst consequences of bubbles. This thesis will suggest models inspired by completely different industries: the air transportation industry with its high safety standards; the oil industry with its long-term planning; and the socially responsible investment industry, with its self-regulatory structure.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Marco Antonio V. Sadalla.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.B.A.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">97 p.</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">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">An overview of potential financial bubbles in the US financial markets</dim:field>
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   	&lt;Title>An overview of potential financial bubbles in the US financial markets&lt;/Title>
   	&lt;Subtitle>Overview of potential financial bubbles in the U.S.&lt;/Subtitle>
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   	&lt;PublicationDate>2013&lt;/PublicationDate>
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        	&lt;DisplayName>Sadalla, Marco Antonio V. (Marco Antonio Vieira)&lt;/DisplayName>
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    &lt;Keyword>Sloan School of Management.&lt;/Keyword>
   	&lt;Abstract>Financial bubbles have presented a challenge for the financial markets for a long time and caused steep losses for many investors. This thesis has two main goals relating to financial bubbles. The first is to try to determine if it is possible to find out if a financial bubble is forming. To accomplish that, the economic theories that govern bubble formation and burst are analyzed and the models that exist to predict bubble formation are discussed. A new model is suggested and is applied in the US financial markets to determine if any of the asset classes are currently risking the development of a bubble. This analysis suggests that one asset class is likely to be developing a bubble and this thesis further discusses this asset class. The second objective of this thesis is to suggest alternatives that prudent investors could introduce to protect themselves from some of the worst consequences of bubbles. This thesis will suggest models inspired by completely different industries: the air transportation industry with its high safety standards; the oil industry with its long-term planning; and the socially responsible investment industry, with its self-regulatory structure.&lt;/Abstract>
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