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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.1016/j.ejor.2013.12.029 |
Electricity swing option pricing by stochastic bilevel optimization: A survey and new approaches. | |
Kovacevic RM; Pflug GC | |
发表日期 | 2014 |
出处 | European Journal of Operational Research 237 (2): 389-403 |
出版年 | 2014 |
语种 | 英语 |
摘要 | We demonstrate how the problem of determining the ask price for electricity swing options can be considered as a stochastic bilevel program with asymmetric information. Unlike as for financial options, there is no way for basing the pricing method on no-arbitrage arguments. Two main situations are analyzed: if the seller has strong market power he/she might be able to maximize his/her utility, while in fully competitive situations he/she will just look for a price which makes profit and has acceptable risk. In both cases the seller has to consider the decision problem of a potential buyer . the valuation problem of determining a fair value for a specific option contract . and anticipate the buyer's optimal reaction to any proposed strike price. We also discuss some methods for finding numerical solutions of stochastic bilevel problems with a special emphasis on using duality gap penalizations. |
主题 | Risk, Policy and Vulnerability (RPV) ; Risk & ; Resilience (RISK) |
关键词 | Pricing Swing option Bilevel optimization Stochastic optimization Stackelberg game |
URL | http://pure.iiasa.ac.at/id/eprint/10939/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130056 |
推荐引用方式 GB/T 7714 | Kovacevic RM,Pflug GC. Electricity swing option pricing by stochastic bilevel optimization: A survey and new approaches.. 2014. |
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