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Innovations in quantitative risk management : TU München, September 2013 / Kathrin Glau, Matthias Scherer, Rudi Zagst (eds.)
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Springer eBook Collection | Springer proceedings in mathematics & statistics ; volume 99Publisher: Cham ; Heidelberg [u.a.] : Springer Open, [2015]Copyright date: © 2015Description: Online-Ressource (XI, 438 pages) : 84 illustrationsISBN:- 9783319091143
- HB135-147
Contents:
Summary: 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 discussedPPN: PPN: 817348603Package identifier: Produktsigel: ZDB-2-SMA | ZDB-2-SOB | ZDB-2-SXMS | ZDB-2-SEB | ZDB-2-SEB
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Springer eBook Collection. Mathematics and Statistics