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Actuarial Sciences and Quantitative Finance : ICASQF, Bogotá, Colombia, June 2014 / edited by Jaime A. Londoño, José Garrido, Daniel Hernández-Hernández
(Springer Proceedings in Mathematics & Statistics. ISSN:21941017 ; 135)

1st ed. 2015.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2015
本文言語 英語
大きさ XI, 98 p. 27 illus., 25 illus. in color : online resource
著者標目 Londoño, Jaime A editor
Garrido, José editor
Hernández-Hernández, Daniel editor
SpringerLink (Online service)
件 名 LCSH:Actuarial science
LCSH:Social sciences -- Mathematics  全ての件名で検索
LCSH:Statistics 
FREE:Actuarial Mathematics
FREE:Mathematics in Business, Economics and Finance
FREE:Statistics in Business, Management, Economics, Finance, Insurance
一般注記 Modeling Electricity Spot Price Dynamics by Using Levy-Type Cox Processes: An Application to the Colombian Market -- Using Value-at-Risk (VaR) to Measure Market Risk of the Equity Inventory of a Market Maker.- Reverse mortgage schemes financing urban dynamics using the multiple decrement approach -- Speedup of Calibration and Pricing with SABR models: from equities to interest rates derivatives -- Bergman, Piterbarg and Beyond: Pricing Derivatives under Collateralization and Differential Rates
Featuring contributions from industry and academia, this volume includes chapters covering a diverse range of theoretical and empirical aspects of actuarial science and quantitative finance, including portfolio management, derivative valuation, risk theory and the economics of insurance. Developed from the First International Congress on Actuarial Science and Quantitative Finance, held at the Universidad Nacional de Colombia in Bogotá in June 2014, this volume highlights different approaches to issues arising from industries in the Andean and Carribean regions. Contributions address topics such as Reverse mortgage schemes and urban dynamics, modeling spot price dynamics in the electricity market, and optimizing calibration and pricing with SABR models
HTTP:URL=https://doi.org/10.1007/978-3-319-18239-1
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データ種別 電子ブック
分 類 LCC:HG8779-8793
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書誌ID 4000117890
ISBN 9783319182391

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