Correlation Between StShine Optical and Poya International
Can any of the company-specific risk be diversified away by investing in both StShine Optical and Poya International at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining StShine Optical and Poya International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between StShine Optical Co and Poya International Co, you can compare the effects of market volatilities on StShine Optical and Poya International 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 StShine Optical with a short position of Poya International. Check out your portfolio center. Please also check ongoing floating volatility patterns of StShine Optical and Poya International.
Diversification Opportunities for StShine Optical and Poya International
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between StShine and Poya is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding StShine Optical Co and Poya International Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Poya International and StShine Optical 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 StShine Optical Co are associated (or correlated) with Poya International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Poya International has no effect on the direction of StShine Optical i.e., StShine Optical and Poya International go up and down completely randomly.
Pair Corralation between StShine Optical and Poya International
Assuming the 90 days trading horizon StShine Optical Co is expected to under-perform the Poya International. In addition to that, StShine Optical is 2.0 times more volatile than Poya International Co. It trades about -0.34 of its total potential returns per unit of risk. Poya International Co is currently generating about 0.09 per unit of volatility. If you would invest 48,350 in Poya International Co on September 22, 2024 and sell it today you would earn a total of 950.00 from holding Poya International Co or generate 1.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
StShine Optical Co vs. Poya International Co
Performance |
Timeline |
StShine Optical |
Poya International |
StShine Optical and Poya International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with StShine Optical and Poya International
The main advantage of trading using opposite StShine Optical and Poya International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if StShine Optical position performs unexpectedly, Poya International 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 Poya International will offset losses from the drop in Poya International's long position.StShine Optical vs. CHC Healthcare Group | StShine Optical vs. GenMont Biotech | StShine Optical vs. Sinphar Pharmaceutical Co | StShine Optical vs. Abnova Taiwan Corp |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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