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Year of publication
Subject
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Solvency II 7 proxy modeling 7 life insurance 6 Theorie 5 Theory 5 machine learning 4 Kleinste-Quadrate-Methode 3 Least squares method 3 Lebensversicherung 3 Life insurance 3 Monte Carlo simulation 3 Monte-Carlo-Simulation 3 Artificial intelligence 2 Künstliche Intelligenz 2 Least-Squares Monte Carlo method 2 Neural networks 2 Proxy modeling 2 ensemble method 2 least-squares Monte Carlo method 2 least-squares monte carlo method 2 neural networks 2 Cash flow projection models 1 Insurance risk management 1 Least squares Monte Carlo 1 Machine learning 1 Mathematical programming 1 Mathematische Optimierung 1 Neuronale Netze 1 Portfolio selection 1 Portfolio-Management 1 Risk-neutral valuation 1 Simulation 1 Statistical error 1 Statistischer Fehler 1 error analysis 1 optimization 1 portfolio optimization 1 quadratic unconstrained binary optimization 1 simulation-based capital models 1 solvency II 1
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Online availability
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Free 9 CC license 3
Type of publication
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Article 9
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Article 4
Language
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English 9
Author
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Nikolić, Zoran 7 Korn, Ralf 6 Krah, Anne-Sophie 6 Assadsolimani, Mohammad 1 Braun, Markus 1 Crispin, Daniel J. 1 Halffmann, Pascal 1 Hegemann, Niklas 1 Jonen, Christian 1 Kerstan, Sven 1 Maciejewski, Janik 1 Meyhöfer, Tamino 1 Sharma, Shivam 1 Turkalj, Ivica 1 Zhou, Yuanheng 1
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Published in...
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Risks : open access journal 4 Risks 3 Annals of actuarial science : publ. by the Institute of Actuaries and the Faculty of Actuaries 1 European Actuarial Journal 1
Source
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ECONIS (ZBW) 5 EconStor 4
Showing 1 - 9 of 9
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Quadratic unconstrained binary optimization approach for incorporating solvency capital into portfolio optimization
Turkalj, Ivica; Assadsolimani, Mohammad; Braun, Markus; … - In: Risks : open access journal 12 (2024) 2, pp. 1-17
In this paper, we consider the inclusion of the solvency capital requirement (SCR) into portfolio optimization by the use of a quadratic proxy model. The Solvency II directive requires insurance companies to calculate their SCR based on the complete loss distribution for the upcoming year. Since...
Persistent link: https://www.econbiz.de/10014497399
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Error propagation and attribution in simulation-based capital models
Crispin, Daniel J. - In: Annals of actuarial science : publ. by the Institute of … 18 (2024) 1, pp. 176-204
Persistent link: https://www.econbiz.de/10014519978
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Neural networks meet least squares Monte Carlo at internal model data
Jonen, Christian; Meyhöfer, Tamino; Nikolić, Zoran - In: European Actuarial Journal 13 (2022) 1, pp. 399-425
proxy modeling consisting of ensembles of feed-forward neural networks and compare the results with the least squares Monte …
Persistent link: https://www.econbiz.de/10015193290
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Machine learning in least-squares Monte Carlo proxy modeling of life insurance companies
Krah, Anne-Sophie; Nikolić, Zoran; Korn, Ralf - In: Risks 8 (2020) 1, pp. 1-79
analyze various adaptive machine learning approaches that can take over the proxy modeling task. The studied approaches range …
Persistent link: https://www.econbiz.de/10013200556
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Least-Squares Monte Carlo for proxy modeling in life insurance: Neural networks
Krah, Anne-Sophie; Nikolić, Zoran; Korn, Ralf - In: Risks 8 (2020) 4, pp. 1-21
The least-squares Monte Carlo method has proved to be a suitable approximation technique for the calculation of a life insurer's solvency capital requirements. We suggest to enhance it by the use of a neural network based approach to construct the proxy function that models the insurer's loss...
Persistent link: https://www.econbiz.de/10013200649
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Least-Squares Monte Carlo for proxy modeling in life insurance : neural networks
Krah, Anne-Sophie; Nikolić, Zoran; Korn, Ralf - In: Risks : open access journal 8 (2020) 4/116, pp. 1-21
The least-squares Monte Carlo method has proved to be a suitable approximation technique for the calculation of a life insurer's solvency capital requirements. We suggest to enhance it by the use of a neural network based approach to construct the proxy function that models the insurer's loss...
Persistent link: https://www.econbiz.de/10012390430
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Cover Image
Machine learning in least-squares Monte Carlo proxy modeling of life insurance companies
Krah, Anne-Sophie; Nikolić, Zoran; Korn, Ralf - In: Risks : open access journal 8 (2020) 1/21, pp. 1-79
analyze various adaptive machine learning approaches that can take over the proxy modeling task. The studied approaches range …
Persistent link: https://www.econbiz.de/10012203797
Saved in:
Cover Image
A least-squares Monte Carlo framework in proxy modeling of life insurance companies
Krah, Anne-Sophie; Nikolić, Zoran; Korn, Ralf - In: Risks 6 (2018) 2, pp. 1-26
way to a reliable proxy modeling in the life insurance business. Further, we illustrate the advantages of the LSMC …
Persistent link: https://www.econbiz.de/10011996620
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Cover Image
A least-squares Monte Carlo framework in proxy modeling of life insurance companies
Krah, Anne-Sophie; Nikolić, Zoran; Korn, Ralf - In: Risks : open access journal 6 (2018) 2, pp. 1-26
way to a reliable proxy modeling in the life insurance business. Further, we illustrate the advantages of the LSMC …
Persistent link: https://www.econbiz.de/10011867432
Saved in:
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