【24h】

Forecast Stock Market Returns Based on Risk Anticipation

机译:预测股票市场返回基于风险预期

获取原文

摘要

Adopt state space theory for improving GARCH-M model; take the impacts of structural changes of stock market risks on stock holders’ psychological anticipation while forecasting the stock market returns. Make the comparison of the forecast precision of the improved model with that of the existing one through the observation of Shanghai stock market. It’s proved that the improved model has better explanatory power and fitting precision than common models.
机译:采用国家空间理论改善加粗型号;采取股市风险结构变化对股票持有人的心理期望的影响,同时预测股市回报。通过观察上海股票市场对现有的改进模型预测精度比较。事实证明,改进的模型具有比共同模型更好的解释性电源和拟合精度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号