中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
New insights and augmented Lagrangian algorithm for optimal portfolio liquidation with market impact

文献类型:期刊论文

作者Xu, Fengmin1; Li, Xuepeng1; Dai, Yu-Hong2,3; Wang, Meihua4
刊名INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
出版日期2022-10-12
页码25
关键词augmented Lagrangian algorithm equity and liability optimal portfolio liquidation price impact
ISSN号0969-6016
DOI10.1111/itor.13219
英文摘要In financial markets, investors may be forced to unwind their portfolios to meet a determined leverage ratio within regulatory policy or risk management requirements. This paper studies the optimal portfolio liquidation problem with market impact. Some new insights are given into this problem, and trading orders are discussed for various financial parameters. Specifically, we establish the equivalence between equity and liability maximization. This means if one wants to maximize the equity, it is to maximize the liability and vice versa. The computational complexity of the problem is examined to be NP-hard. We expose the hidden convexity through monotonicity analysis and linearization techniques. Although good properties are established for the Lagrangian algorithm, a counter-example is constructed to show one deficiency of this algorithm. Therefore, we propose an augmented Lagrangian algorithm for solving the problem. The inverse Hessian of the augmented Lagrangian function is explicitly calculated for the subproblem solved by the projected Newton method. Meanwhile, we consider how to choose a good initial point, which is essential for seeking a high-quality solution. Some numerical results are presented, which validate the usefulness of the augmented Lagrangian algorithm.
资助项目National Natural Science Foundation of China[11971372] ; National Natural Science Foundation of China[11631013]
WOS研究方向Business & Economics ; Operations Research & Management Science
语种英语
WOS记录号WOS:000866135300001
出版者WILEY
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/60853]  
专题中国科学院数学与系统科学研究院
通讯作者Xu, Fengmin
作者单位1.Xi An Jiao Tong Univ, Sch Econ & Finance, Xian 710061, Peoples R China
2.Chinese Acad Sci, LSEC, Acad Math Syst Sci, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
4.Xidian Univ, Sch Econ & Management, Xian 710126, Peoples R China
推荐引用方式
GB/T 7714
Xu, Fengmin,Li, Xuepeng,Dai, Yu-Hong,et al. New insights and augmented Lagrangian algorithm for optimal portfolio liquidation with market impact[J]. INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH,2022:25.
APA Xu, Fengmin,Li, Xuepeng,Dai, Yu-Hong,&Wang, Meihua.(2022).New insights and augmented Lagrangian algorithm for optimal portfolio liquidation with market impact.INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH,25.
MLA Xu, Fengmin,et al."New insights and augmented Lagrangian algorithm for optimal portfolio liquidation with market impact".INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH (2022):25.

入库方式: OAI收割

来源:数学与系统科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。