检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:杜泉莹 徐美萍[1] DU Quanying;XU Meiping(School of Science,Beijing Technology and Business University,Beijing 100048,China)
出 处:《广西师范大学学报(自然科学版)》2018年第4期67-75,共9页Journal of Guangxi Normal University:Natural Science Edition
基 金:国家自然科学基金(11501017);北京市教委科研计划一般项目(理工类)(SQKM201610011006)
摘 要:本文选取上海证券交易所不同行业3只市值热度较高的股票运用ARMA-GARCH-t模型对其日收益率与波动性进行预测,在推广的Black-Litterman(BL)模型的框架下,将投资者主观收益分布与资产的先验均衡分布相结合,计算资产的配置权重,并与传统的马科维兹均值-方差(MV)模型给出的组合权重进行对比,发现投资者对资产收益的信心水平越高,BL模型在投资组合中赋予相应资产的权重越高,且投资组合的收益也得到提高。最后,通过融资融券分析验证3只股票市场配置的有效性,说明BL模型给出的配置更符合投资者预期。该研究可以为资产管理者和投资者在资产配置方面提供更多借鉴。In this paper,the ARMA-GARCH-t model is employed to forecast daily return and volatility of the three stocks with a high market value in different industries of Shanghai Stock Exchange.Under the framework of extended Black-Litterman(BL)model,investor’s subjective return distributions are combined with asset’s priori balanced distribution.Then the weights of the asset allocation is calculated and compared with the ones from traditional Markowitz mean-variance(MV)investment portfolio.The empirical results show that the BL model puts more weight to the asset with high investor’s confidence level and the return of portfolio is larger than the MV case.Finally,the analysis results of the margin trading are applied to verify the validity of the market allocation of the three stocks,which confirms the conclusion that the BL model is more in line with investor expectations.The study can provide more reference for asset managers and investors in asset allocation.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7