收稿日期: 2013-06-13
修回日期: 2013-11-25
网络出版日期: 2014-07-15
基金资助
国家自然科学基金(11371340)资助
Futures portfolio research based on quantitative perspectives and Black-Litterman model
Received date: 2013-06-13
Revised date: 2013-11-25
Online published: 2014-07-15
在Black-Litterman模型的基础上,利用GJR-GARCH-M模型,由历史数据获得数量化的观点,对期货投资中卖空限制进行优化处理,形成新的量化投资组合模型.检验结果表明,该模型给出的投资策略能获得一定超额收益,具有一定的优越性.
关键词: 多期货品种; 投资组合优化; GJR-GARCH-M; Black-Litterman模型; 卖空
符永健 , 程希骏 , 刘峰 . 基于量化观点和Black-Litterman模型的期货投资组合[J]. 中国科学院大学学报, 2014 , 31(4) : 570 -575 . DOI: 10.7523/j.issn.2095-6134.2014.04.019
Black-Litterman model can be used in combination with the subjective judgment of the investors to solve mixed weights of market equilibrium and subjective perspectives. We use GJR-GARCH-M to generate quantity views on the basis of historical data, and optimize sell short in future investment. Empirical test results show that the new model achieves excess return than other strategies.
Key words: futures; portfolio optimization; GJR-GARCH-M; Black-Litterman model; sell short
[1] Jacobs B I, Levy K N, Markowitz H M. Trimability and fast optimization of long-short portfolios[J]. Financial Analysts Journal, 2006, 62(2): 36-46.
[2] Jacobs B I, Levy K N. The long and short on long-short [J]. Journal of Investing, 1997, 6(1): 73-86.
[3] Gao H, Zhao J W. Empirical research for hedge ratio and shares portfolio of shanghai-shenzhen 300 shares index futures[J]. Journal of Management Sciences, 2007, 20(2): 80-90(in Chinese). 高辉, 赵进文. 沪深 300 股指套期保值及投资组合实证研究 [J]. 管理科学, 2007, 20(2): 80-90.
[4] Li N, Cheng X J. A new model for setting dynamic futures portfolio margin level[J]. Journal of University of Science and Technology of China, 2012, 42(3): 197-202(in Chinese). 李宁, 程希骏. 一种新的期货组合动态保证金设定模型与实证研究[J]. 中国科学技术大学学报, 2012, 42(3): 197-202.
[5] Black F, Letterman R. Global portfolio optimization [J]. Financial Analysts Journal, 1992, 48(5): 28-43.
[6] Lejeune M A. A VaR Black-Litterman model for the construction of absolute return fund-of-funds[J]. Quantitative Finance, 2011, 11(10): 1489-1501.
[7] Braga M D, Natale F P. Active risk sensitivity to views using the Black-Litterman model[J]. Journal of Asset Management, 2011, 13(1): 5-21.
[8] 娄静, 丁鲁明. B-L模型在我国行业资产配置上的运用[R/OL]. 海通证券, 2008-07-08 [2013-06-08].http://www.p5w.net/newfortune/fxs/baogao/yspyj/200809/t1923743.htm.
[9] Mankert C, Seiler M J. Behavioral finance and its implication in the use of the Black-Litterman Model[J]. Journal of Real Estate Portfolio Management, 2012, 18(1): 99-121.
[10] Li Y H, Wei Y. Modeling steel futures volatility using GARCH models[J]. Application of Statistics and Management, 2013, 32(2): 191-201(in Chinese). 李云红, 魏宇. 我国钢材期货市场波动率的 GARCH 族模型研究[J]. 数理统计与管理, 2013, 32(2): 191-201.
[11] Yang Z M, Men K P, Li J. Shanghai securities market empirical research based on GJR-GARCH model[J]. Modern Business Trade Industry, 2008, 20(1): 76-77(in Chinese). 杨洲木, 门可佩, 李俊. 基于 GJR-GARCH 模型的上海证券市场实证研究[J]. 现代商贸工业, 2008, 20(1): 76-77.
[12] 张忠桢. 凸规划: 投资组合与网络优化的旋转算法[M]. 武汉: 武汉大学出版社, 2004.
[13] Idzorek T M. A step-by-step guide to the Black-Litterman model[C]//Satchell S. Forecasting Expected Returns in the Financial Markets. London: Academic Press, 2007:17-39.
/
| 〈 |
|
〉 |