Articles liés à Measuring Risk in Complex Stochastic Systems
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This collection of articles by leading researchers will be of interest to people working in the area of mathematical finance.
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Measuring Risk in Complex Stochastic Systems
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Springer, 2000
ISBN 10 : 038798996X
ISBN 13 : 9780387989969
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Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,500grams, ISBN:9780387989969. N° de réf. du vendeur 9122272
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Measuring Risk in Complex Stochastic Systems. Lectures Notes in Statistics 147
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Springer, 2000
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ISBN 13 : 9780387989969
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Vendeur : Zubal-Books, Since 1961, Cleveland, OH, Etats-Unis
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Etat : Fine. 257 pp., Paperback, like new! - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. N° de réf. du vendeur ZB769122
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Measuring Risk in Complex Stochastic Systems (Lecture Notes in Statistics)
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Springer, 2000
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Etat : Sehr gut. 276 Seiten nice ex Library book Sprache: Englisch Gewicht in Gramm: 396 23,4 x 15,4 x 1,6 cm, Taschenbuch. N° de réf. du vendeur 345536
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Measuring Risk in Complex Stochastic Systems
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Springer New York, 2000
ISBN 10 : 038798996X
ISBN 13 : 9780387989969
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Complex dynamic processes of life and sciences generate risks that have to be taken. The need for clear and distinctive definitions of different kinds of risks, adequate methods and parsimonious models is obvious. The identification of important risk factor. N° de réf. du vendeur 5913610
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Measuring Risk in Complex Stochastic Systems
Edité par
Springer Verlag, Berlin, 2000
ISBN 10 : 038798996X
ISBN 13 : 9780387989969
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Paperback. Etat : Very Good Plus. 257 pp. Tightly bound. Spine not compromised. Text is free of markings. No ownership markings. N° de réf. du vendeur 019850
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Measuring Risk in Complex Stochastic Systems
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Springer New York Jun 2000, 2000
ISBN 10 : 038798996X
ISBN 13 : 9780387989969
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Complex dynamic processes of life and sciences generate risks that have to be taken. The need for clear and distinctive definitions of different kinds of risks, adequate methods and parsimonious models is obvious. The identification of important risk factors and the quantification of risk stemming from an interplay between many risk factors is a prerequisite for mastering the challenges of risk perception, analysis and management successfully. The increasing complexity of stochastic systems, especially in finance, have catalysed the use of advanced statistical methods for these tasks. The methodological approach to solving risk management tasks may, however, be undertaken from many different angles. A financial insti tution may focus on the risk created by the use of options and other derivatives in global financial processing, an auditor will try to evalu ate internal risk management models in detail, a mathematician may be interested in analysing the involved nonlinearities or concentrate on extreme and rare events of a complex stochastic system, whereas a statis tician may be interested in model and variable selection, practical im plementations and parsimonious modelling. An economist may think about the possible impact of risk management tools in the framework of efficient regulation of financial markets or efficient allocation of capital. 276 pp. Englisch. N° de réf. du vendeur 9780387989969
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Measuring Risk in Complex Stochastic Systems (Lecture Notes in Statistics, 147)
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Measuring Risk in Complex Stochastic Systems
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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PF. Etat : New. N° de réf. du vendeur 6666-IUK-9780387989969
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Measuring Risk in Complex Stochastic Systems
Edité par
Springer New York, Springer US Jun 2000, 2000
ISBN 10 : 038798996X
ISBN 13 : 9780387989969
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -Complex dynamic processes of life and sciences generate risks that have to be taken. The need for clear and distinctive definitions of different kinds of risks, adequate methods and parsimonious models is obvious. The identification of important risk factors and the quantification of risk stemming from an interplay between many risk factors is a prerequisite for mastering the challenges of risk perception, analysis and management successfully. The increasing complexity of stochastic systems, especially in finance, have catalysed the use of advanced statistical methods for these tasks. The methodological approach to solving risk management tasks may, however, be undertaken from many different angles. A financial insti tution may focus on the risk created by the use of options and other derivatives in global financial processing, an auditor will try to evalu ate internal risk management models in detail, a mathematician may be interested in analysing the involved nonlinearities or concentrate on extreme and rare events of a complex stochastic system, whereas a statis tician may be interested in model and variable selection, practical im plementations and parsimonious modelling. An economist may think about the possible impact of risk management tools in the framework of efficient regulation of financial markets or efficient allocation of capital.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch. N° de réf. du vendeur 9780387989969
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Measuring Risk in Complex Stochastic Systems
Edité par
Springer New York, Springer US, 2000
ISBN 10 : 038798996X
ISBN 13 : 9780387989969
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Complex dynamic processes of life and sciences generate risks that have to be taken. The need for clear and distinctive definitions of different kinds of risks, adequate methods and parsimonious models is obvious. The identification of important risk factors and the quantification of risk stemming from an interplay between many risk factors is a prerequisite for mastering the challenges of risk perception, analysis and management successfully. The increasing complexity of stochastic systems, especially in finance, have catalysed the use of advanced statistical methods for these tasks. The methodological approach to solving risk management tasks may, however, be undertaken from many different angles. A financial insti tution may focus on the risk created by the use of options and other derivatives in global financial processing, an auditor will try to evalu ate internal risk management models in detail, a mathematician may be interested in analysing the involved nonlinearities or concentrate on extreme and rare events of a complex stochastic system, whereas a statis tician may be interested in model and variable selection, practical im plementations and parsimonious modelling. An economist may think about the possible impact of risk management tools in the framework of efficient regulation of financial markets or efficient allocation of capital. N° de réf. du vendeur 9780387989969
Quantité disponible : 1 disponible(s)