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  • 标题:Leveraged Bootstrap Test of Volatility: A Novel Approach to the Energy Consumption and Economic Growth Puzzle
  • 本地全文:下载
  • 作者:Kuo-Hao Lee ; Jonathan Ohn ; Evren Eryilmaz
  • 期刊名称:International Journal of Economics and Finance
  • 印刷版ISSN:1916-971X
  • 电子版ISSN:1916-9728
  • 出版年度:2017
  • 卷号:9
  • 期号:9
  • 页码:117
  • DOI:10.5539/ijef.v9n9p117
  • 出版社:Canadian Center of Science and Education
  • 摘要:The main purpose of this research is to examine the causal relationship between the Energy industry and nine other industries by use of volatility instead of returns. Existing literatures find a causal relationship by use of stock returns, however, we find that using volatility reveals a causal relationship that might not otherwise be revealed through returns alone. Since the existing literature shows that volatility of stock prices is informative, we apply a Granger causality test by use of a leveraged bootstrap test developed by Hacker and Hatemi (2006) to investigate the causal behavior of the volatility. Our results show that volatility of the Energy industry causes volatility in two other industries- Industrials and Health Care. Also, the Energy industry market is affected by the Materials, Consumer Staples and Utilities industries. This finding is substantially different from the findings of previous research, and provides a novel approach to analyzing and solving the energy consumption and economic growth puzzle.
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