06485 am 22008413u 450 99621377510331620221206182420.09783319091143 (ebook)9783319091136 (hardback)10.1007/978-3-319-09114-3(CKB)3710000000341370(SSID)ssj0001424505(PQKBManifestationID)11832256(PQKBTitleCode)TC0001424505(PQKBWorkID)11368888(PQKB)11183698(DE-He213)978-3-319-09114-3(MiAaPQ)EBC3107127(MiAaPQ)EBC6363127(Au-PeEL)EBL6363127(OCoLC)900859867(oapen)https://directory.doabooks.org/handle/20.500.12854/34769(PPN)183518853(EXLCZ)99371000000034137020150109d2015 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierInnovations in Quantitative Risk Management[electronic resource] TU München, September 2013 /edited by Kathrin Glau, Matthias Scherer, Rudi Zagst1st ed. 2015.ChamSpringer Nature2015Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (xi, 438 pages) illustrations; digital, PDF file(s)Springer Proceedings in Mathematics & Statistics,2194-1009 ;99Bibliographic Level Mode of Issuance: MonographPrint version: 9783319091136 Includes bibliographical references at the end of each chapters.Part I Markets, Regulation, and Model Risk -- A Random Holding Period Approach for Liquidity-Inclusive Risk Management -- Regulatory Developments in Risk Management: Restoring Confidence in Internal Models -- Model Risk in Incomplete Markets with Jumps -- Part II Financial Engineering -- Bid-Ask Spread for Exotic Options Under Conic Finance -- Derivative Pricing Under the Possibility of Long Memory in the supOU Stochastic Volatility Model -- A Two-Sided BNS Model for Multicurrency FX Markets -- Modeling the Price of Natural Gas with Temperature and Oil Price as Exogenous Factors -- Copula-Specific Credit Portfolio Modeling -- Implied Recovery Rates—Auctions and Models -- Upside and Downside Risk Exposures of Currency Carry Trades via Tail Dependence -- Part III Insurance Risk and Asset Management -- Participating Life Insurance Contracts Under Risk Based Solvency Frameworks: How to Increase Capital Efficiency by Product Design -- Reducing Surrender Incentives Through Fee Structure in Variable Annuities -- A Variational Approach for Mean-Variance-Optimal Deterministic Consumption and Investment -- Risk Control in Asset Management: Motives and Concepts -- Worst-Case Scenario Portfolio Optimization Given the Probability of a Crash -- Improving Optimal Terminal Value Replicating Portfolios -- Part IV Computational Methods for Risk Management -- Risk and Computation -- Extreme Value Importance Sampling for Rare Event Risk Measurement -- A Note on the Numerical Evaluation of the Hartman–Watson Density and Distribution Function -- Computation of Copulas by Fourier Methods -- Part V Dependence Modelling -- Goodness-of-fit Tests for Archimedean Copulas in High Dimensions -- Duality in Risk Aggregation -- Some Consequences of the Markov Kernel Perspective of Copulas -- Copula Representations for Invariant Dependence Functions -- Nonparametric Copula Density Estimation Using a Petrov–Galerkin Projection.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.Springer Proceedings in Mathematics & Statistics,2194-1009 ;99Economics, Mathematical Game theoryFinanceActuarial scienceQuantitative Financehttps://scigraph.springernature.com/ontologies/product-market-codes/M13062Game Theory, Economics, Social and Behav. Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M13011Finance, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/600000Actuarial Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M13080Quantitative FinanceGame Theory, Economics, Social and Behav. SciencesFinance/Investment/BankingActuarial SciencesEconomics, Mathematical .Game theory.Finance.Actuarial science.Quantitative Finance.Game Theory, Economics, Social and Behav. Sciences.Finance, general.Actuarial Sciences.658.155Glau Kathrinedt1075955Glau Kathrinedthttp://id.loc.gov/vocabulary/relators/edtScherer Matthiasedthttp://id.loc.gov/vocabulary/relators/edtZagst Rudiedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQ996213775103316Innovations in Quantitative Risk Management3358702UNISA