Optimal rebalance rules for the constant proportion portfolio insurance strategy - Evidence from China

被引:3
|
作者
Zhang, Tao [1 ,2 ]
Zhou, Hongfeng [2 ]
Li, Larry [3 ]
Gu, Feng [2 ]
机构
[1] China Univ Petr East China, Coll Econ Adm, Qingdao 266580, Shandong, Peoples R China
[2] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200052, Peoples R China
[3] RMIT Univ, Sch Econ Finance & Mkt, Melbourne, Vic 3000, Australia
关键词
Constant proportion portfolio insurance (CPPI) strategy; Rebalance disciplines; Rolling window method; Moving blocks bootstrap;
D O I
10.1016/j.ecosys.2015.02.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
The constant proportion portfolio insurance (CPPI) strategy is one of the most popular asset allocation strategies employed by guaranteed-return financial products investors. Rebalance disciplines play an important role in determining the CPPI performance in practice. This paper examines whether the selection of rebalance rules affects CPPI strategy performance in the context of Chinese equity markets and, if so, in what pattern, and whether an optimal parameter of rebalance exists. We find that, (1) the three alternative rebalance disciplines - time discipline, market move discipline and lag discipline - are indifferent in affecting the performance of CPPI strategy; (2) in terms of optimal parameters of each rebalance rule, the optimal rebalancing period for the time discipline is 3 trading days, the optimal trading threshold of the market move discipline 4%, and the optimal lag factor of the lag discipline 6%. These optimal parameters are not influenced by the length of investment. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:413 / 422
页数:10
相关论文
共 50 条
  • [21] Constant proportion portfolio insurance in defined contribution pension plan management under discrete-time trading
    Temocin, Busra Zeynep
    Korn, Ralf
    Selcuk-Kestel, A. Sevtap
    [J]. ANNALS OF OPERATIONS RESEARCH, 2018, 260 (1-2) : 515 - 544
  • [22] Constant proportion portfolio insurance in defined contribution pension plan management under discrete-time trading
    Busra Zeynep Temocin
    Ralf Korn
    A. Sevtap Selcuk-Kestel
    [J]. Annals of Operations Research, 2018, 260 : 515 - 544
  • [23] Optimal strategy of performance creation: Evidence from audit firms in China
    Chen, Yahn-Shir
    Cheng, Yu-Shu
    Liu, Yi-Pei
    [J]. AFRICAN JOURNAL OF BUSINESS MANAGEMENT, 2011, 5 (06): : 2230 - 2240
  • [24] Construction strategy of VCs firms portfolio from industrial organization perspective: empirical evidence from Mainland China
    Tan, Renyou
    Fang, Sihai
    [J]. PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, 2009, : 395 - 402
  • [25] Farmers' Demand for Informal Risk Management Strategy and Weather Index Insurance: Evidence from China
    Yingmei Tang
    Huifang Cai
    Rongmao Liu
    [J]. International Journal of Disaster Risk Science, 2021, 12 (02) : 281 - 297
  • [26] Farmers' Demand for Informal Risk Management Strategy and Weather Index Insurance: Evidence from China
    Tang, Yingmei
    Cai, Huifang
    Liu, Rongmao
    [J]. INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE, 2021, 12 (02) : 281 - 297
  • [27] Farmers’ Demand for Informal Risk Management Strategy and Weather Index Insurance: Evidence from China
    Yingmei Tang
    Huifang Cai
    Rongmao Liu
    [J]. International Journal of Disaster Risk Science, 2021, 12 : 281 - 297
  • [28] Housing and portfolio choice: Evidence from urban China
    Sun, Sanbai
    Wang, Chunhua
    Zhang, Yan
    Li, Ding
    Wei, Chu
    [J]. CITIES, 2022, 131
  • [29] News coverage and portfolio returns: Evidence from China
    Li, Cong-Cong
    Xu, Hai-Chuan
    Zhou, Wei-Xing
    [J]. PACIFIC-BASIN FINANCE JOURNAL, 2020, 60
  • [30] US rebalance strategy to Asia and US-China rivalry in South China Sea from the perspective of the offensive realism
    Alenezi, Danah Ali
    [J]. REVIEW OF ECONOMICS AND POLITICAL SCIENCE, 2024, 9 (02) : 102 - 115