Correlation Between Emdoor Information and Hygon Information
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By analyzing existing cross correlation between Emdoor Information Co and Hygon Information Technology, you can compare the effects of market volatilities on Emdoor Information and Hygon Information and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Emdoor Information with a short position of Hygon Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Emdoor Information and Hygon Information.
Diversification Opportunities for Emdoor Information and Hygon Information
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Emdoor and Hygon is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Emdoor Information Co and Hygon Information Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hygon Information and Emdoor Information is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Emdoor Information Co are associated (or correlated) with Hygon Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hygon Information has no effect on the direction of Emdoor Information i.e., Emdoor Information and Hygon Information go up and down completely randomly.
Pair Corralation between Emdoor Information and Hygon Information
Assuming the 90 days trading horizon Emdoor Information Co is expected to under-perform the Hygon Information. In addition to that, Emdoor Information is 1.31 times more volatile than Hygon Information Technology. It trades about -0.1 of its total potential returns per unit of risk. Hygon Information Technology is currently generating about 0.21 per unit of volatility. If you would invest 12,381 in Hygon Information Technology on October 14, 2024 and sell it today you would earn a total of 2,289 from holding Hygon Information Technology or generate 18.49% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Emdoor Information Co vs. Hygon Information Technology
Performance |
| Timeline |
| Emdoor Information |
| Hygon Information |
Emdoor Information and Hygon Information Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Emdoor Information and Hygon Information
The main advantage of trading using opposite Emdoor Information and Hygon Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Emdoor Information position performs unexpectedly, Hygon Information can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Hygon Information will offset losses from the drop in Hygon Information's long position.| Emdoor Information vs. Weichai Heavy Machinery | Emdoor Information vs. Ningbo Construction Co | Emdoor Information vs. Shaanxi Construction Machinery | Emdoor Information vs. Zhejiang Qianjiang Motorcycle |
| Hygon Information vs. Duzhe Publishing Media | Hygon Information vs. Changchun UP Optotech | Hygon Information vs. China Publishing Media | Hygon Information vs. Jiujiang Shanshui Technology |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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