...
首页> 外文期刊>Journal of Statistical and Econometric Methods >Application of Markov-Switching Regression Model on Economic Variables
【24h】

Application of Markov-Switching Regression Model on Economic Variables

机译:马尔可夫切换回归模型在经济变量中的应用

获取原文
           

摘要

This study investigates the Markov-switching regression model on economic variable using time series data spanning from 1985-2014. The stock data are regime dependent and the two regime multivariate Markov switching vector autoregressive (MSVAR) model is used to examine the structure of the Nigeria stock index prices. It is found that MSVAR model with two regimes detect shifts in the return series and shows evidence of switching in the stock market return series. It is also found that the return series are well fitted by MSVAR model and filtered probabilities can be extracted from the data to evaluate the strength of moving from one state to another. Also, MSVAR model captures the sudden changes in the stock data using exogenous variable which is unobserved and follow a stochastic process. It is recommended that the investors on the stock market should be cautious because the stock market is unstable.
机译:本研究使用时间范围为1985-2014年的数据研究经济变量的马尔可夫切换回归模型。股票数据取决于制度,并且使用两个制度的多元马尔可夫切换向量自回归(MSVAR)模型来检查尼日利亚股指价格的结构。发现具有两种制度的MSVAR模型可以检测收益序列的变化,并显示出股票收益序列发生切换的证据。还发现,返回序列与MSVAR模型非常吻合,可以从数据中提取滤波后的概率,以评估从一种状态转换为另一种状态的强度。此外,MSVAR模型使用未观察到的并遵循随机过程的外部变量来捕获库存数据中的突然变化。由于股票市场不稳定,建议投资者谨慎。

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