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:郜哲
机构地区:[1]北京大学光华管理学院,北京100871 [2]中关村科技园区海淀园博士后工作站北大方正集团分站,北京100871
出 处:《河北经贸大学学报》2015年第3期49-54,共6页Journal of Hebei University of Economics and Business
摘 要:经典的美林证券投资时钟原理可以将实体经济增长与大类资产配置联系起来,利用经济增长和通货膨胀预期指标对经济周期进行划分,并在经济周期各个阶段提高该阶段内收益较高的资产配比,能极大提升整体资产组合的长期收益率。运用该理论对我国的大类资产配置进行实证研究,分析我国宏观经济指标与成熟经济体的不同,指出投资时钟原理在我国实践应用中采取国家统计局的领先和滞后指数来划分经济周期更符合我国经济的特点。根据这一经济周期划分结果考察我国四类资产(现金、债券、商品、股票)在经济周期不同阶段的表现,得出我国经济同样具有周期轮动性,利用投资时钟原理和经过蒙特卡洛模拟优化后均值方差模型,可以优化资产配置,取得较高收益和较低最大回撤的结论。The classic Merrill Lynch Investment clock theory proposed an efficient way to link the real economic growth and asset allocation together. The theory uses the economic growth indicators and inflation expectations indicators to draw a global picture of economic cycle, can enhance the long-term rate of return of the overall portfolio due to they can improve the higher-yielding assets at the right stage of the economic cycle. In this paper, we applied an empirical research on the Chinese broad heading asset allocation, analyzed the differences between our selection of macroeconomic indicators and that of ripe economic entity, pointed out that leading and lagging index of the National Bureau which are more in line with Chinese economic characteristics and they are the best indictors to be applied to divide the economy cycle. According to manifestations at different stages, we investigated China's four categories of assets(cash, bonds, commodities, stocks) of the economic cycle, we revealed that the Business cycle phenomenon existed in Chinese economic growth. At last, we use the asset index data to do the empiric research, applied this theory and Monte Carlo simulated mean-variance model, the asset allocation can be optimized to obtain higher yields and lower maximum retracement.
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:216.73.216.117