Heavy Tails And Copulas Topics In Dependence Modelling In Economics And Finance

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  • Engels
  • Hardcover
  • 9789814689793
  • 09 maart 2017
  • 304 pagina's
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Samenvatting

'Overall, the book is highly technical, including full mathematical proofs of the results stated. Potential readers are post-graduate students or researchers in Quantitative Risk Management willing to have a manual with the state-of-the-art on portfolio diversification and risk aggregation with heavy tails, including the fundamental theorems as well as collateral (but most useful) results on majorization and copula theory.'Quantitative Finance This book offers a unified approach to the study of crises, large fluctuations, dependence and contagion effects in economics and finance. It covers important topics in statistical modeling and estimation, which combine the notions of copulas and heavy tails - two particularly valuable tools of today's research in economics, finance, econometrics and other fields - in order to provide a new way of thinking about such vital problems as diversification of risk and propagation of crises through financial markets due to contagion phenomena, among others. The aim is to arm today's economists with a toolbox suited for analyzing multivariate data with many outliers and with arbitrary dependence patterns. The methods and topics discussed and used in the book include, in particular, majorization theory, heavy-tailed distributions and copula functions - all applied to study robustness of economic, financial and statistical models, and estimation methods to heavy tails and dependence.

Productspecificaties

Inhoud

Taal
en
Bindwijze
Hardcover
Oorspronkelijke releasedatum
09 maart 2017
Aantal pagina's
304
Illustraties
Nee

Betrokkenen

Hoofdauteur
Rustam Ibragimov
Tweede Auteur
Artem Prokhorov

Overige kenmerken

Extra groot lettertype
Nee
Product breedte
159 mm
Product hoogte
25 mm
Product lengte
235 mm
Studieboek
Nee
Verpakking breedte
158 mm
Verpakking hoogte
22 mm
Verpakking lengte
236 mm
Verpakkingsgewicht
572 g

EAN

EAN
9789814689793
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Bindwijze : Hardcover

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