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:陈坚[1] 张轶凡 CHEN Jian;ZHANG Yifan(Department of Finance,School of Economics,Xiamen Universit;Hebei Branch,The Export-Import Bank of China)
机构地区:[1]厦门大学经济学院金融系,福建厦门361005 [2]中国进出口银行河北省分行,河北石家庄050000
出 处:《金融研究》2018年第9期107-125,共19页Journal of Financial Research
基 金:国家自然科学基金面上项目(71671148)中期科研成果
摘 要:利用高频股票指数数据,本文构造了中国股票市场的已实现偏度,并检验了其对中国股票市场收益率的预测能力。实证结果显示,当前较低的已实现偏度可以显著预测下个月中国股票市场较高的超额收益率,样本内和样本外的R^2分别达到了3. 39%和2. 24%。在控制了一系列的其它股票预测变量之后,该结论依然成立。此外,基于四种不同的构造方法,已实现偏度对上海和深圳两个股票市场都具有显著的预测能力。在将所有不同的已实现偏度指标进行组合之后,预测能力得到了进一步提升。从经济解释上,本文发现已实现偏度对股票收益率的预测能力是通过影响股票市场的交易活跃程度,从而传导到股票市场收益率。With high frequent stock index data, this paper constructs the realized skewness of Chinese stock market and test its predictive power for aggregate stock market excess return. Results show that the realized skewness significantly predicts the next month excess return on Chinese stock market. In- sample and out- of - sample R2 are 3.39% and 2. 24% , respectively. After controlling for a set of variables, this conclusion still holds. In addition, based on alternative 4 constructing methods, the realized skewness significantly predicts excess returns on both of Shanghai and Shenzhen stock markets. The predictive power is further improved when combine all 4 skewness measures together. Economically, the predictive power of realized skewness for stock market return comes from its ability to predict future trading activity of the Chinese stock market.
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:216.73.216.166