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Leveraged Bootstrap Test of Volatility: A Novel Approach to the Energy Consumption and Economic Growth Puzzle

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  • Kuo-Hao Lee
  • Jonathan Ohn
  • Evren Eryilmaz

Abstract

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.

Suggested Citation

  • Kuo-Hao Lee & Jonathan Ohn & Evren Eryilmaz, 2017. "Leveraged Bootstrap Test of Volatility: A Novel Approach to the Energy Consumption and Economic Growth Puzzle," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(9), pages 117-122, September.
  • Handle: RePEc:ibn:ijefaa:v:9:y:2017:i:9:p:117-122
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    References listed on IDEAS

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    More about this item

    Keywords

    Granger causality; bootstrap; volatility; S&P 500;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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