A class of multi-period semi-variance portfolio for petroleum exploration and development

被引:23
作者
Guo, Qiulin [1 ]
Li, Jianzhong [1 ]
Zou, Caineng [1 ]
Guo, Yujuan [2 ]
Yan, Wei [1 ]
机构
[1] PetroChina, Res Inst Petr Explorat & Dev, Beijing 100083, Peoples R China
[2] Zhangzhou Pientzehuang Grp CO, Fujian Zhangzhou, Peoples R China
关键词
exploration and development; portfolio; multi-period semi-variance; hybrid GA with PSO; SELECTION; MODEL;
D O I
10.1080/00207721.2011.555011
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Variance is substituted by semi-variance in Markowitz's portfolio selection model. For dynamic valuation on exploration and development projects, one period portfolio selection is extended to multi-period. In this article, a class of multi-period semi-variance exploration and development portfolio model is formulated originally. Besides, a hybrid genetic algorithm, which makes use of the position displacement strategy of the particle swarm optimiser as a mutation operation, is applied to solve the multi-period semi-variance model. For this class of portfolio model, numerical results show that the mode is effective and feasible.
引用
收藏
页码:1883 / 1890
页数:8
相关论文
共 27 条
[1]  
Angeline P., 1998, Seventh Annual Conference on Evolutionary Programming, San Diego, USA, 25 -27 Mar 1998, P601, DOI DOI 10.1007/BFB0040753
[2]  
[Anonymous], SPE HYDR EC EV S 2 3
[3]  
[Anonymous], 1970, J FINANC QUANT ANAL
[4]  
BILCHEV G, 1995, P AISB WORKSH EV COM
[5]  
Brashear J.P., 1999, SPE, V56574, P447
[6]   Exploration risk evaluation using object-based modeling, an example from the Tertiary fractured play, western Qaidam Basin of China [J].
Chen Zhuoheng ;
Hu Suyun ;
Jin Zhijun ;
Pang Xiongqi ;
Jiang Zhenxue ;
Kirk, Osadetz G. .
PETROLEUM SCIENCE, 2008, 5 (03) :195-202
[7]  
Fichter D.P., 2000, SPE, V62970, P1
[8]  
[郭秋麟 GUO Qiulin], 2007, [石油勘探与开发, Petroleum Exploration and Development], V34, P760
[9]   DEVELOPMENT OF AN EQUILIBRIUM CAPITAL-MARKET MODEL BASED ON SEMIVARIANCE [J].
HOGAN, WW ;
WARREN, JM .
JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS, 1974, 9 (01) :1-11
[10]  
Kennedy J, 1995, 1995 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS PROCEEDINGS, VOLS 1-6, P1942, DOI 10.1109/icnn.1995.488968