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Innovations in Quantitative Risk Management : TU München, September 2013

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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.

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Series Title

Springer Proceedings in Mathematics & Statistics (PROMS, volume 99)

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Publisher

Cham : Springer Cham., 2015

Collation

XI, 438

Language

ISBN/ISSN

978-3-319-09114-3

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Quantitative Finance

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Statement of Responsibility

Penyunting, Kathrin Glau.....[dan 2 penyunting lainnya]

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Source

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Validator

Maya

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-319-09114-3

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Journal Issue

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