ANTICIPATING LONG-TERM STOCK MARKET VOLATILITY

被引：184

作者：

Conrad, Christian ^{[1
]}

Loch, Karin ^{[1
]}

机构：

[1] Heidelberg Univ, Dept Econ, D-69115 Heidelberg, Germany

来源：

JOURNAL OF APPLIED ECONOMETRICS | 2015年 / 30卷 / 07期

关键词：

MODELING VOLATILITY; GARCH MODEL; VARIANCE; EXPECTATIONS; VARIABLES; RETURNS; US;

D O I：

10.1002/jae.2404

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

We investigate the relationship between long-term US stock market risks and the macroeconomic environment using a two-component GARCH-MIDAS model. Our results show that macroeconomic variables are important determinants of the secular component of stock market volatility. Among the various macro variables in our dataset the term spread, housing starts, corporate profits and the unemployment rate have the highest predictive ability for long-term stock market volatility. While the term spread and housing starts are leading variables with respect to stock market volatility, for industrial production and the unemployment rate expectations data from the Survey of Professional Forecasters regarding the future development are most informative. Copyright (C) 2014 John Wiley & Sons, Ltd.

引用

页码：1090 / 1114

页数：25

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