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The Health Care Industry

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Abstract
The objective of this study is to investigate the causality relationship between the Health Care industry and nine other industries. Previous literature shows that the volatility of stock prices is informative; Granger causality is applied in this research by the use of a leveraged bootstrap test developed by Hacker and Hatemi-J (2006) to monitor the behavior of the volatility. The results shows evidence that support the volatility of the Health Care industry has an impact on the volatility of the Industrial, Consumer Staples and Financial industries. Also, the Health Care industry market was affected by five out of nine other industries, Energy, Materials, Consumer Staples, Information Technology and Utilities.

Introduction
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When the government takes over medical costs for people who can’t afford benefits to supplement their care, it hurts the economy. Further, if health care costs are high, many people have less money to spend in areas that normally might flow in daily live markets and all kinds of investment markets which might affect the performance of Consumer Discretionary, Consumer Staples and Financial industries. Americans who incur financial debt because of health care costs often cannot recover from the situation; and these unpaid debts create an additional economic …show more content…

We believe, however, that returns response uses only partial market information about stocks. The Traditional Capital Asset Pricing Model (CAPM) holds the opinion that systematic risk would be the only factor that influences asset prices since idiosyncratic risk could be eliminated away by holding a well-diversified investment portfolio. However, recent empirical studies have found that the risk intensity of stocks is mainly due to the idiosyncratic risk of individual stocks. This conclusion was different from CAPM’s argument that only systematic risk would have an effect on returns. Volatility, in many studies, has also been found to carry current and future information. A recent study that attempted to break through the traditional method of calculating returns was performed by Campbell, Lettau, Malkiel and Xu (2001). They successfully separated the volatility of stock returns into market, industry and firms’ idiosyncratic volatility by use of a disaggregated approach. Xu and Malkiel (2003) applied a decomposition method and a disaggregated approach method to decompose volatility of stock returns into systematic volatility and idiosyncratic volatility and found that corporate private information could be reflected to its stock price faster when the institutional investors held a higher percentage of that company’s stock. Hatemi-J, A. and M. Irandoust

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