Electronic Resource

Innovations in quantitative risk management

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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.

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Detail Information

Series Title

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Call Number

658.155 INN i

Publisher

Cham, Switzerland : Springer Open., 2015

Collation

xi, 438p.: ill.

Language

English

ISBN/ISSN

9783319091143

Classification

658.155

Content Type

text

Media Type

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Carrier Type

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Edition

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Subject(s)

Economics
Quantitative Finance
Game Theory
Social and Behav. Sciences
Finance/Investment/Banking
Actuarial Sciences

Specific Detail Info

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Statement of Responsibility

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