Correlation Between Forcecon Technology and Yong Shun
Can any of the company-specific risk be diversified away by investing in both Forcecon Technology and Yong Shun 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 Forcecon Technology and Yong Shun into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Forcecon Technology Co and Yong Shun Chemical, you can compare the effects of market volatilities on Forcecon Technology and Yong Shun 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 Forcecon Technology with a short position of Yong Shun. Check out your portfolio center. Please also check ongoing floating volatility patterns of Forcecon Technology and Yong Shun.
Diversification Opportunities for Forcecon Technology and Yong Shun
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Forcecon and Yong is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Forcecon Technology Co and Yong Shun Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yong Shun Chemical and Forcecon Technology 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 Forcecon Technology Co are associated (or correlated) with Yong Shun. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yong Shun Chemical has no effect on the direction of Forcecon Technology i.e., Forcecon Technology and Yong Shun go up and down completely randomly.
Pair Corralation between Forcecon Technology and Yong Shun
Assuming the 90 days trading horizon Forcecon Technology Co is expected to generate 1.86 times more return on investment than Yong Shun. However, Forcecon Technology is 1.86 times more volatile than Yong Shun Chemical. It trades about 0.09 of its potential returns per unit of risk. Yong Shun Chemical is currently generating about 0.02 per unit of risk. If you would invest 4,902 in Forcecon Technology Co on October 7, 2024 and sell it today you would earn a total of 9,698 from holding Forcecon Technology Co or generate 197.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Forcecon Technology Co vs. Yong Shun Chemical
Performance |
Timeline |
Forcecon Technology |
Yong Shun Chemical |
Forcecon Technology and Yong Shun Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Forcecon Technology and Yong Shun
The main advantage of trading using opposite Forcecon Technology and Yong Shun positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Forcecon Technology position performs unexpectedly, Yong Shun 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 Yong Shun will offset losses from the drop in Yong Shun's long position.Forcecon Technology vs. U Ming Marine Transport | Forcecon Technology vs. Tai Tung Communication | Forcecon Technology vs. Great China Metal | Forcecon Technology vs. WinMate Communication INC |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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