<?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>2026-09-19T20:11:23Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/122874" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/122874</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">Asu Ozdaglar.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Siderius, James.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2019-11-12T17:40:47Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-11-12T17:40:47Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/122874</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1126651820</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018</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 (pages 131-134).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">We consider a network model of financial intermediation where banks (financial intermediaries) lend to and borrow from each other and supply funds to clients. A key decision for a bank is whether to extend credit to other banks, which may then default on those loans. In contrast to much of the previous literature on financial networks, the focus is on how "fear of future default" can lead to "credit freezes" before the realization of these uncertainties. Specifically, we show that increases in the riskiness of one or few banks can lead to systemic credit freeze throughout the financial network. Notably, credit freezes can happen in parts of the network that are not directly affected by increased uncertainty, both because the potential consequences of uncertainty travel throughout the network and also because such changes affect profitability of loans between different parties. We then use this framework to analyze the effects of policy interventions on systemic credit freezes.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by James Siderius.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">S.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">134 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">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written 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">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Propagation of credit freezes in financial lending networks</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   <dim:field mdschema="mit" element="thesis" qualifier="degree" lang="en_US">Master</dim:field>
   <dim:field mdschema="mit" element="thesis" qualifier="department" lang="en_US">EECS</dim:field>
   <dim:field mdschema="others" element="access-status">unknown</dim:field>
   <dim:field mdschema="others" element="access-status">unknown</dim:field>
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   	&lt;Title>Propagation of credit freezes in financial lending networks&lt;/Title>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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        	&lt;DisplayName>Siderius, James.&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>We consider a network model of financial intermediation where banks (financial intermediaries) lend to and borrow from each other and supply funds to clients. A key decision for a bank is whether to extend credit to other banks, which may then default on those loans. In contrast to much of the previous literature on financial networks, the focus is on how &amp;quot;fear of future default&amp;quot; can lead to &amp;quot;credit freezes&amp;quot; before the realization of these uncertainties. Specifically, we show that increases in the riskiness of one or few banks can lead to systemic credit freeze throughout the financial network. Notably, credit freezes can happen in parts of the network that are not directly affected by increased uncertainty, both because the potential consequences of uncertainty travel throughout the network and also because such changes affect profitability of loans between different parties. We then use this framework to analyze the effects of policy interventions on systemic credit freezes.&lt;/Abstract>
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