An Application of Chance-Constrained Programming to Portfolio Selection in a Casualty Insurance Firm¶
Agnew, N. An Application of Chance-Constrained Programming to Portfolio Selection in a Casualty Insurance Firm.
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Domain-specific¶
- Chance-constrained portfolio selection
- … survival threshold, maximum violation probability, objective function, deterministic reformulation or numerical solver and estimation robustness and out-of-sample validation are explicit. to An applied instance preserves the invariant under changed notation, scale, dataset, jurisdiction, or implementation..
This sourceAgnes, J. Rasmussen and K. R. Smith (1969), "An Application of Chance-Constrained Programming to Portfolio Selection in a Casualty Insurance Firm," Management Science, 15, No. 10, 512-520. [https://www.jstor.org/stable/2628459?Search=yes&resultItemClick=true&searchText=an%20application%20of%20chance%20constrained%20programming&searchUri=%2Faction%2FdoBasicSearch%3FQuery%3Dan%2Bapplication%2Bof%2Bchance%2Bconstrained%2Bprogramming&ab_segments=0%2Fbasic_search_SYC-5455%2Fcontrol&refreqid=fastly-default%3Ac66a912b771798f92fc98226d695291d]. Retrieved September 24, 2020.
- … survival threshold, maximum violation probability, objective function, deterministic reformulation or numerical solver and estimation robustness and out-of-sample validation are explicit. to An applied instance preserves the invariant under changed notation, scale, dataset, jurisdiction, or implementation..
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