Correlation Between Kangyue Technology and GreenTech Environmental
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By analyzing existing cross correlation between Kangyue Technology Co and GreenTech Environmental Co, you can compare the effects of market volatilities on Kangyue Technology and GreenTech Environmental 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 Kangyue Technology with a short position of GreenTech Environmental. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kangyue Technology and GreenTech Environmental.
Diversification Opportunities for Kangyue Technology and GreenTech Environmental
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Kangyue and GreenTech is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Kangyue Technology Co and GreenTech Environmental Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GreenTech Environmental and Kangyue 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 Kangyue Technology Co are associated (or correlated) with GreenTech Environmental. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GreenTech Environmental has no effect on the direction of Kangyue Technology i.e., Kangyue Technology and GreenTech Environmental go up and down completely randomly.
Pair Corralation between Kangyue Technology and GreenTech Environmental
Assuming the 90 days trading horizon Kangyue Technology Co is expected to generate 1.75 times more return on investment than GreenTech Environmental. However, Kangyue Technology is 1.75 times more volatile than GreenTech Environmental Co. It trades about 0.15 of its potential returns per unit of risk. GreenTech Environmental Co is currently generating about 0.17 per unit of risk. If you would invest 416.00 in Kangyue Technology Co on September 12, 2024 and sell it today you would earn a total of 269.00 from holding Kangyue Technology Co or generate 64.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Kangyue Technology Co vs. GreenTech Environmental Co
Performance |
Timeline |
Kangyue Technology |
GreenTech Environmental |
Kangyue Technology and GreenTech Environmental Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kangyue Technology and GreenTech Environmental
The main advantage of trading using opposite Kangyue Technology and GreenTech Environmental positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kangyue Technology position performs unexpectedly, GreenTech Environmental 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 GreenTech Environmental will offset losses from the drop in GreenTech Environmental's long position.Kangyue Technology vs. China Asset Management | Kangyue Technology vs. Tongyu Communication | Kangyue Technology vs. Chengdu Spaceon Electronics | Kangyue Technology vs. JCHX Mining Management |
GreenTech Environmental vs. Gansu Jiu Steel | GreenTech Environmental vs. Shandong Mining Machinery | GreenTech Environmental vs. Aba Chemicals Corp | GreenTech Environmental vs. BlueFocus Communication Group |
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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