Content area

Abstract

This paper incorporates macroeconomic determinants into the forecasting model of industry-level stock return volatility in order to detect whether different macroeconomic factors can forecast the volatility of various industries. To explain different fluctuation characteristics among industries, we identified a set of macroeconomic determinants to examine their effects. The Clark and West (J Econom 138(1):291-311, 2007 ) test is employed to verify whether the new forecasting models, which vary among industries based on the in-sample results, make better predictions than the two benchmark models. Our results show that default return and default yield have a significant impact on stock return volatility.

Details

Title
Predictive models for disaggregate stock market volatility
Author
Chong, Terence Tai-leung 1 ; Lin, Shiyu 2 

 Department of Economics and Lau Chor Tak Institute of Global Economics and Finance, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong 
 Department of Economics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong 
Pages
261-288
Publication year
2017
Publication date
Aug 2017
Publisher
Springer Nature B.V.
ISSN
19344554
e-ISSN
23738529
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1924315168
Copyright
Financial Markets and Portfolio Management is a copyright of Springer, 2017.