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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Andrew Lo.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Kumar, Rishi, 1979-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 43-44).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This research aims to develop a Markov chain model of the transmission of financial crises. It uses a mathematical programming framework to determine the transition probabilities that describe the crisis dynamics. The framework allows for modelling and comparing various channels of contagion, such as investments and bilateral trade.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Rishi Kumar.</dim:field>
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   <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">The dynamics of global financial crises</dim:field>
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   	&lt;Title>The dynamics of global financial crises&lt;/Title>
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   	&lt;Abstract>This research aims to develop a Markov chain model of the transmission of financial crises. It uses a mathematical programming framework to determine the transition probabilities that describe the crisis dynamics. The framework allows for modelling and comparing various channels of contagion, such as investments and bilateral trade.&lt;/Abstract>
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