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  • Search: subject:"Optimized certainty equivalent"
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Subject
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Optimized certainty equivalent 7 Portfolio selection 4 Portfolio-Management 4 Theorie 4 Theory 4 Risiko 3 Risk 3 Convex risk measures 2 Decision under risk 2 Entscheidung unter Risiko 2 Markov decision process 2 Mathematical programming 2 Mathematische Optimierung 2 Measurement 2 Messung 2 Monotone and cash-invariant hulls 2 Optimal policy 2 Qualification conditions 2 Risikomanagement 2 Risikomaß 2 Risk management 2 Risk measure 2 Risk-sensitive decision 2 Algorithm 1 Algorithmus 1 Control theory 1 Convex risk measure 1 Decision 1 Dynamic programming 1 Dynamic programming principle 1 Dynamische Optimierung 1 Entropie 1 Entropy 1 Entscheidung 1 HJB equation 1 Kontrolltheorie 1 Lagrange duality 1 Markov chain 1 Markov-Kette 1 Monetary utility function 1
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Undetermined 6 Free 2
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Article 8
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Article 1
Language
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English 6 Undetermined 2
Author
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Boţ, Radu 2 Bäuerle, Nicole 2 Frătean, Alina-Ramona 2 Jaśkiewicz, Anna 2 Arai, Takuji 1 Ararat, Çağin 1 Asano, Takao 1 Backhoff-Veraguas, Julio 1 Chen, Liang 1 Hamel, Andreas 1 Nishide, Katsumasa 1 Rudloff, Birgit 1 Sun, Hailin 1 Tangpi, Ludovic 1 Wu, Soon-Yi 1 Zhang, Dali 1
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Published in...
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Mathematical Methods of Operations Research 2 Computational Statistics 1 Insurance / Mathematics & economics 1 International journal of theoretical and applied finance 1 International transactions in operational research : a journal of the International Federation of Operational Research Societies 1 Mathematical methods of operations research : ZOR 1 Mathematics and financial economics 1
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Source
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ECONIS (ZBW) 5 RePEc 2 EconStor 1
Showing 1 - 8 of 8
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Markov decision processes with risk-sensitive criteria: an overview
Bäuerle, Nicole; Jaśkiewicz, Anna - In: Mathematical Methods of Operations Research 99 (2024) 1, pp. 141-178
’risk-sensitive’ refers here to the use of the Optimized Certainty Equivalent as a means to measure expectation and risk … procedures are explained. We present both the theory when the Optimized Certainty Equivalent is applied recursively as well as …
Persistent link: https://www.econbiz.de/10015358830
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Markov decision processes with risk-sensitive criteria : an overview
Bäuerle, Nicole; Jaśkiewicz, Anna - In: Mathematical methods of operations research : ZOR 99 (2024) 1/2, pp. 141-178
Persistent link: https://www.econbiz.de/10015125537
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A modified exchange algorithm for distributional robust optimization and applications in risk management
Sun, Hailin; Zhang, Dali; Wu, Soon-Yi; Chen, Liang - In: International transactions in operational research : a … 29 (2022) 1, pp. 130-157
Persistent link: https://www.econbiz.de/10012630733
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On the dynamic representation of some time-inconsistent risk measures in a Brownian filtration
Backhoff-Veraguas, Julio; Tangpi, Ludovic - In: Mathematics and financial economics 14 (2020) 3, pp. 433-460
Persistent link: https://www.econbiz.de/10012240302
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Optimal initial capital induced by the optimized certainty equivalent
Arai, Takuji; Asano, Takao; Nishide, Katsumasa - In: Insurance / Mathematics & economics 85 (2019), pp. 115-125
Persistent link: https://www.econbiz.de/10011990619
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Set-valued shortfall and divergence risk measures
Ararat, Çağin; Hamel, Andreas; Rudloff, Birgit - In: International journal of theoretical and applied finance 20 (2017) 5, pp. 1-48
Persistent link: https://www.econbiz.de/10011733939
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Looking for appropriate qualification conditions for subdifferential formulae and dual representations for convex risk measures
Boţ, Radu; Frătean, Alina-Ramona - In: Mathematical Methods of Operations Research 74 (2011) 2, pp. 191-215
A fruitful idea, when providing subdifferential formulae and dual representations for convex risk measures, is to make use of the conjugate duality theory in convex optimization. In this paper we underline the outstanding role played by the qualification conditions in the context of different...
Persistent link: https://www.econbiz.de/10010999580
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Looking for appropriate qualification conditions for subdifferential formulae and dual representations for convex risk measures
Boţ, Radu; Frătean, Alina-Ramona - In: Computational Statistics 74 (2011) 2, pp. 191-215
A fruitful idea, when providing subdifferential formulae and dual representations for convex risk measures, is to make use of the conjugate duality theory in convex optimization. In this paper we underline the outstanding role played by the qualification conditions in the context of different...
Persistent link: https://www.econbiz.de/10010759180
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