Premium
Anticipating Long‐Term Stock Market Volatility
Author(s) -
Conrad Christian,
Loch Karin
Publication year - 2014
Publication title -
journal of applied econometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.878
H-Index - 99
eISSN - 1099-1255
pISSN - 0883-7252
DOI - 10.1002/jae.2404
Subject(s) - volatility (finance) , economics , stock market , unemployment , stock (firearms) , econometrics , financial economics , survey of professional forecasters , stock market bubble , monetary economics , macroeconomics , monetary policy , mechanical engineering , paleontology , horse , engineering , biology
Summary 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 © 2014 John Wiley & Sons, Ltd.