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Extreme and Systemic Risk Analysis [electronic resource] : A Loss Distribution Approach / by Stefan Hochrainer-Stigler.

By: Hochrainer-Stigler, Stefan [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextSeries: Integrated Disaster Risk ManagementPublisher: Singapore : Springer Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XI, 156 p. 54 illus., 24 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9789811526893Subject(s): Natural disasters | Statistics  | Natural Hazards | Applied StatisticsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 551 LOC classification: GB5000-5030Online resources: Click here to access online
Contents:
Introduction -- Individual and Extreme Risk -- Systemic Risk and Dependencies -- Application. .
In: Springer Nature eBookSummary: This book is about how extreme and systemic risk can be analyzed in an integrated way. Risk analysis is understood to include measurement, assessment as well as management aspects. Integration is understood as being able to perform risk analysis for extreme and systemic events simultaneously. The presented approach is based on Sklar's theorem, which states that a multivariate distribution can be separated into two parts - one describing the marginal distributions and the other describing the dependency between the distributions using a so-called copula. It is suggested to reinterpret Sklar's theorem from a system or network perspective, treating copulas as a network property and individual, including extreme, risk as elements within the network. In that way, extreme and systemic risk can be analyzed independently as well as jointly across several scales. The book is intended for a large audience, and all techniques presented are guided with examples and applications with a special focus on natural disaster events. Furthermore, an extensive literature and discussion of it are given in each chapter for the interested reader.
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Introduction -- Individual and Extreme Risk -- Systemic Risk and Dependencies -- Application. .

This book is about how extreme and systemic risk can be analyzed in an integrated way. Risk analysis is understood to include measurement, assessment as well as management aspects. Integration is understood as being able to perform risk analysis for extreme and systemic events simultaneously. The presented approach is based on Sklar's theorem, which states that a multivariate distribution can be separated into two parts - one describing the marginal distributions and the other describing the dependency between the distributions using a so-called copula. It is suggested to reinterpret Sklar's theorem from a system or network perspective, treating copulas as a network property and individual, including extreme, risk as elements within the network. In that way, extreme and systemic risk can be analyzed independently as well as jointly across several scales. The book is intended for a large audience, and all techniques presented are guided with examples and applications with a special focus on natural disaster events. Furthermore, an extensive literature and discussion of it are given in each chapter for the interested reader.

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