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Interdependency analysis: Extensions...

Santos, Joost Reyes.

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Interdependency analysis: Extensions to demand reduction inoperability input-output modeling and portfolio selection.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Interdependency analysis: Extensions to demand reduction inoperability input-output modeling and portfolio selection./
Author:	Santos, Joost Reyes.
Description:	194 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-03, Section: B, page: 1469.
Contained By:	Dissertation Abstracts International64-03B.
Subject:	Engineering, System Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3083133

Interdependency analysis: Extensions to demand reduction inoperability input-output modeling and portfolio selection.
Santos, Joost Reyes.

Interdependency analysis: Extensions to demand reduction inoperability input-output modeling and portfolio selection. - 194 p.

Source: Dissertation Abstracts International, Volume: 64-03, Section: B, page: 1469.

Thesis (Ph.D.)--University of Virginia, 2003.

Interdependency analysis in the dissertation connotes a process of assessing and managing risks inherent in a system of interconnected entities (e.g., infrastructures or industry sectors). The following are two distinct extensions of interdependency analysis which constitute the contributions of the dissertation: (i) The <italic>demand reduction inoperability input-output model</italic> is used to account for the adverse impact of reductions on the consumption for the goods/services of a perturbed sector. Modern sectors of the economy to date generally exhibit higher degrees of interdependencies-making them more vulnerable to natural and human-caused catastrophes. Such extreme events not only can impair the operations of interconnected sectors, but also can degrade the demand for their outputs. By utilizing the principles of input-output and decomposition analysis, the dissertation presents a framework for modeling how the demand-based inoperability can propagate and proliferate through a system of interconnected infrastructure or industry sectors. (ii) The application of interdependency analysis on the field of finance is explored in two proposed portfolio selection models, namely: (a) a hybrid of the Markowitz mean-variance method and the partitioned multiobjective risk method in which the underlying asset interdependencies are implied in the covariance of the historical asset returns, and (b) a model which utilizes the Bureau of Economic Analysis (BEA) industry-by-industry input-output matrices to gain additional insights on the relationships among portfolio assets. In the aforementioned portfolio selection models, interdependency analysis addresses the issue of diversification to enhance a portfolio's robustness against business as usual, as well as extreme, market risks.Subjects--Topical Terms:

1018128
Engineering, System Science.

Interdependency analysis: Extensions to demand reduction inoperability input-output modeling and portfolio selection.
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100 1 $a Santos, Joost Reyes. $3 1942353
245 1 0 $a Interdependency analysis: Extensions to demand reduction inoperability input-output modeling and portfolio selection.
300 $a 194 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-03, Section: B, page: 1469.
500 $a Adviser: Yacov Y. Haimes.
502 $a Thesis (Ph.D.)--University of Virginia, 2003.
520 $a Interdependency analysis in the dissertation connotes a process of assessing and managing risks inherent in a system of interconnected entities (e.g., infrastructures or industry sectors). The following are two distinct extensions of interdependency analysis which constitute the contributions of the dissertation: (i) The <italic>demand reduction inoperability input-output model</italic> is used to account for the adverse impact of reductions on the consumption for the goods/services of a perturbed sector. Modern sectors of the economy to date generally exhibit higher degrees of interdependencies-making them more vulnerable to natural and human-caused catastrophes. Such extreme events not only can impair the operations of interconnected sectors, but also can degrade the demand for their outputs. By utilizing the principles of input-output and decomposition analysis, the dissertation presents a framework for modeling how the demand-based inoperability can propagate and proliferate through a system of interconnected infrastructure or industry sectors. (ii) The application of interdependency analysis on the field of finance is explored in two proposed portfolio selection models, namely: (a) a hybrid of the Markowitz mean-variance method and the partitioned multiobjective risk method in which the underlying asset interdependencies are implied in the covariance of the historical asset returns, and (b) a model which utilizes the Bureau of Economic Analysis (BEA) industry-by-industry input-output matrices to gain additional insights on the relationships among portfolio assets. In the aforementioned portfolio selection models, interdependency analysis addresses the issue of diversification to enhance a portfolio's robustness against business as usual, as well as extreme, market risks.
590 $a School code: 0246.
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Economics, Finance. $3 626650
650 4 $a Operations Research. $3 626629
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710 2 0 $a University of Virginia. $3 645578
773 0 $t Dissertation Abstracts International $g 64-03B.
790 1 0 $a Haimes, Yacov Y., $e advisor
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791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3083133