Innovations in Quantitative Risk Management : TU München, September 2013

Innovations in Quantitative Risk Management TU München, September 2013

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 flow of challenging problems for financial engineers and risk managers alike. Designing...

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Detalles Bibliográficos
Otros Autores: Glau, Kathrin (Editor), Glau, Kathrin. editor (editor), Scherer, Matthias. editor, Zagst, Rudi. editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham Springer Nature 2015
Cham : 2015.
Edición:1st ed. 2015.
Colección:Springer Proceedings in Mathematics & Statistics, 99
Materias:
Economics, Mathematical .
Game theory.
Finance.
Actuarial science.
Quantitative Finance.
Game Theory, Economics, Social and Behav. Sciences.
Finance, general.
Actuarial Sciences.
Quantitative Finance
Game Theory, Economics, Social and Behav. Sciences
Finance/Investment/Banking
Actuarial Sciences
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009423604106719
Descripción
Sumario: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 flow 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.
Notas:Bibliographic Level Mode of Issuance: Monograph
Descripción Física:1 online resource (xi, 438 pages) : illustrations; digital, PDF file(s)
Also available in print form
Bibliografía:Includes bibliographical references at the end of each chapters.
ISBN:9783319091143

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