Risk management for international portfolios with basket options: A multi-stage stochastic programming approach

被引:8
|
作者
Yin Libo [1 ]
Han Liyan [2 ]
机构
[1] Cent Univ Finance & Econ, Sch Finance, Beijing 100081, Peoples R China
[2] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
关键词
Basket options; options applications; portfolio optimization; risk management; stochastic programming; STRATEGIC ASSET ALLOCATION; GENERATING SCENARIO TREES; DECISION-PROBLEMS; EXOTIC OPTIONS; CONSUMPTION; INVESTMENT; RETURNS; CHOICE; MODEL; PREDICTABILITY;
D O I
10.1007/s11424-015-3001-z
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The authors consider the problem of active international portfolio management with basket options to achieve optimal asset allocation and combined market risk and currency risk management via multi-stage stochastic programming (MSSP). The authors note particularly the novel consideration and significant benefit of basket options in the context of portfolio optimization and risk management. Extensive empirical tests strongly demonstrate that basket options consistently have more clearly improvement on portfolio performances than a portfolio of vanilla options written on the same underlying assets. The authors further show that the MSSP model provides as a supportive tool for asset allocation, and a suitable test bed to empirically investigate the performance of alternative strategies.
引用
下载
收藏
页码:1279 / 1306
页数:28
相关论文
共 50 条
  • [41] A risk-based interactive multi-stage stochastic programming approach for water resources planning under dual uncertainties
    Wang, Y. Y.
    Huang, G. H.
    Wang, S.
    Li, W.
    Guan, P. B.
    ADVANCES IN WATER RESOURCES, 2016, 94 : 217 - 230
  • [42] Two-stage linear decision rules for multi-stage stochastic programming
    Merve Bodur
    James R. Luedtke
    Mathematical Programming, 2022, 191 : 347 - 380
  • [43] Two-stage linear decision rules for multi-stage stochastic programming
    Bodur, Merve
    Luedtke, James R.
    MATHEMATICAL PROGRAMMING, 2022, 191 (01) : 347 - 380
  • [44] The Value of Multi-Stage Stochastic Programming in Risk-Averse Unit Commitment Under Uncertainty
    Mahmutogullari, Ali Irfan
    Ahmed, Shabbir
    Cavus, Ozlem
    Akturk, M. Selim
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (05) : 3667 - 3676
  • [45] A multi-stage stochastic programming approach for an inventory-routing problem considering life cycle
    Paeizi, Alireza
    Makui, Ahmad
    Pishvaee, Mir Saman
    RAIRO-OPERATIONS RESEARCH, 2023, 57 (05) : 2537 - 2559
  • [46] A multi-stage stochastic programming approach for pre-positioning of relief supplies considering returns
    Hu, Shaolong
    Hu, Qingmi
    Tao, Sha
    Dong, Zhijie Sasha
    SOCIO-ECONOMIC PLANNING SCIENCES, 2023, 88
  • [47] Backtesting short-term treasury management strategies based on multi-stage stochastic programming
    Ferstl R.
    Weissensteiner A.
    Journal of Asset Management, 2010, 11 (2-3) : 94 - 112
  • [48] Using Stochastic Dual Dynamic Programming to Solve the Multi-Stage Energy Management Problem in Microgrids
    Tabares, Alejandra
    Cortes, Pablo
    ENERGIES, 2024, 17 (11)
  • [49] A multi-stage stochastic programming approach for production planning with uncertainty in the quality of raw materials and demand
    Zanjani, Masoumeh Kazemi
    Nourelfath, Mustapha
    Ait-Kadi, Daoud
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2010, 48 (16) : 4701 - 4723
  • [50] Bulk ship fleet renewal and deployment under uncertainty: A multi-stage stochastic programming approach
    Arslan, Ayse N.
    Papageorgiou, Dimitri J.
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2017, 97 : 69 - 96