Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Volatility Clustering within Industries: An Empirical Investigation

Volatility Clustering within Industries: An Empirical Investigation This paper examines the clustering of return volatility within industries by comparing the short‐run responses of stock returns to the arrival of macroeconomic news across several industries. We hypothesize that some industries have distinctive qualities which influence the sensitivity of companies’ equity value to information releases. To test this hypothesis, we sample intraday stock price data of ten firms from three industries ‐ General Industry, Banking, and Real Estate Trusts ‐ and conduct the Brown‐Forsythe‐Modified Levene tests. The evidence shows that there exist different degrees of responses to the release of macroeconomic news and consequently different degrees of return volatility clustering: strongest in General Industry, less strong in Banking, and weak in Real Estate Investment Trusts. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png American Journal of Business Emerald Publishing

Volatility Clustering within Industries: An Empirical Investigation

American Journal of Business , Volume 22 (2): 12 – Jan 1, 2007

Loading next page...
 
/lp/emerald-publishing/volatility-clustering-within-industries-an-empirical-investigation-0qYFGB1Kww
Publisher
Emerald Publishing
Copyright
Copyright © 2007 Emerald Group Publishing Limited. All rights reserved.
ISSN
1935-5181
DOI
10.1108/19355181200700008
Publisher site
See Article on Publisher Site

Abstract

This paper examines the clustering of return volatility within industries by comparing the short‐run responses of stock returns to the arrival of macroeconomic news across several industries. We hypothesize that some industries have distinctive qualities which influence the sensitivity of companies’ equity value to information releases. To test this hypothesis, we sample intraday stock price data of ten firms from three industries ‐ General Industry, Banking, and Real Estate Trusts ‐ and conduct the Brown‐Forsythe‐Modified Levene tests. The evidence shows that there exist different degrees of responses to the release of macroeconomic news and consequently different degrees of return volatility clustering: strongest in General Industry, less strong in Banking, and weak in Real Estate Investment Trusts.

Journal

American Journal of BusinessEmerald Publishing

Published: Jan 1, 2007

Keywords: Information and market efficiency; Macroeconomic news; volatility

There are no references for this article.