ISBN: 9783319091136 - innovations in quantitative risk management: tu münchen, september 2013: 99 (15 risultati)

xi, 438p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Springer Proceedings in Mathematics & Statistics. Sprache: Englisch.…

Condizione: New.

Condizione: New.

Condizione: New. In English.

Condizione: New.

Condizione: New. 438.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Quantitative models are omnipresent -but often controversially discussed- in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous ow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well.The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia -providing methodological advances- and practice -having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.…

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Quantitative models are omnipresent -but often controversially discussed- in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous ow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well.The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia -providing methodological advances- and practice -having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed. 452 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a bridge between methodological advances and applications in risk managementFocuses on modern techniques such as dependence modeling, LIBOR modeling and counterparty credit riskFeatures contributions from well-known experts from bo.…

Condizione: New. Print on Demand 438.

Condizione: New. PRINT ON DEMAND 438.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Quantitative models are omnipresent ¿but often controversially discussed¿ in todays risk management practice. New regulations, innovative ¿nancial products, and advances in valuation techniques provide a continuous ¿ow of challenging problems for ¿nancial engineers and risk managers alike. Designing a sound stochastic model requires ¿nding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well.The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia ¿providing methodological advances¿ and practice ¿having a ¿rm understanding of the economic conditions in which a given model is used. Discussed ¿elds of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 452 pp. Englisch.…