188宝金博页面版

  • 图案背景
  • 纯色背景
视图
标记
批注
批注本地保存成功,开通会员云端永久保存 去开通
qk83859860

上传于:2014-11-19

粉丝量:2

该文档贡献者很忙,什么也没留下。


  • 相关
  • 目录
  • 笔记
  • 书签

188宝金博页面版:更多相关文档

  • 中国股市指数(12.6)

    星级: 645 页

  • 1990~2009中国股市数据

    星级: 300 页

  • 高盛高华 中国股市研究 2010-3

    星级: 62 页

  • 中国股市有多少风险源

    星级: 13 页

  • 股票中国股市

    星级: 3 页

  • 中国股市

    星级: 10 页

  • 中国城市有多少穷人

    星级: 4 页

  • 中国gdp的水分究竟有多少

    星级: 2 页

  • 中国地方债务到底有多少

    星级: 3 页

  • 中国有多少部级单位

    星级: 4 页

  • 中国股市--搞笑版23076

    星级: 48 页

暂无目录

点击鼠标右键菜单,创建目录

暂无笔记

选择文本,点击鼠标右键菜单,添加笔记

暂无书签

在左侧文档中,点击鼠标右键,添加书签

188宝金博页面版: 中国股市有多少风险源

下载积分: 1000

内容提示: 1 2 Market-wide = = 7 50 GMM 1 Block-Bootstrap ...

文档格式:PDF | 页数:13 | 浏览次数:26 | 上传日期:2014-11-19 23:24:39 | 文档星级:
1 2 Market-wide = = 7 50 GMM 1 Block-Bootstrap GMM Block-Bootstrap Block-Bootstrap How Many Risk Sources in the Stock Market of China —A Study Based on the Latent Variable Model with Time-Varying Risk Premiums Abstract The latent variable model with time-varying risk premium is an important model of the CAPM. With its excellent properties, the model can be used to describe the market-wide risk sources by identifying the number of the latent variables. In this paper the authors give a stringent proof of the general test of the latent variable model with time-varying risk premium raised by Ferson and Foerster. The shanghai 50 Index are selected as the samples and the general test is applied to empirical research of china’s stock market. The results of the GMM show that china’s stock market can not reject the 1 latent variable model. The Block-Bootstrap method is also adopted to study the finite sample properties of the general test and compare it with the result of asymptotic distribution. The results reveal that the Block-Bootstrap method of GMM is robust. The conclusion of this paper manifests the essence of the risk and return in china’s stock market and has great significance for the policy-making of the government. Keywords time-varying risk premium The latent variable model Block-Bootstrap method = = Linear Expectation Assumption = 1 2 1

188宝金博页面版:关注我们

  • 新浪微博

关注188宝金博页面版公众号

188宝金博页面版
阅读
APP
阅读
返回
顶部
188宝金博页面版官网登录在线平台入口(2026已更新)—江苏协昌电子科技股份有限公司