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anadaptivelagrangianalgorithmforoptimalportfoliodeleveragingwithcrossimpact
Xu Fengmin1; Sun Min2; Dai Yuhong3
2017
发表期刊journalofsystemsscienceandcomplexity
ISSN1009-6124
卷号30期号:5页码:1121
摘要This paper considers the problem of optimal portfolio deleveraging, which is a crucial problem in finance. Taking the permanent and temporary price cross-impact into account, the authors establish a quadratic program with box constraints and a singly quadratic constraint. Under some assumptions, the authors give an optimal trading priority and show that the optimal solution must be achieved when the quadratic constraint is active. Further, the authors propose an adaptive Lagrangian algorithm for the model,where a piecewise quadratic root-finding method is used to find the Lagrangian multiplier. The convergence of the algorithm is established. The authors also present some numerical results,which show the usefulness of the algorithm and validate the optimal trading priority.
语种英语
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/42235
专题计算数学与科学工程计算研究所
作者单位1.School of Economics and Finance,Xi'an Jiaotong University
2.西安交通大学
3.中国科学院数学与系统科学研究院
推荐引用方式
GB/T 7714
Xu Fengmin,Sun Min,Dai Yuhong. anadaptivelagrangianalgorithmforoptimalportfoliodeleveragingwithcrossimpact[J]. journalofsystemsscienceandcomplexity,2017,30(5):1121.
APA Xu Fengmin,Sun Min,&Dai Yuhong.(2017).anadaptivelagrangianalgorithmforoptimalportfoliodeleveragingwithcrossimpact.journalofsystemsscienceandcomplexity,30(5),1121.
MLA Xu Fengmin,et al."anadaptivelagrangianalgorithmforoptimalportfoliodeleveragingwithcrossimpact".journalofsystemsscienceandcomplexity 30.5(2017):1121.
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