Correlation Between Keeson Technology and Kuangda Technology
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By analyzing existing cross correlation between Keeson Technology Corp and Kuangda Technology Group, you can compare the effects of market volatilities on Keeson Technology and Kuangda Technology 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 Keeson Technology with a short position of Kuangda Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Keeson Technology and Kuangda Technology.
Diversification Opportunities for Keeson Technology and Kuangda Technology
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Keeson and Kuangda is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Keeson Technology Corp and Kuangda Technology Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kuangda Technology and Keeson 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 Keeson Technology Corp are associated (or correlated) with Kuangda Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kuangda Technology has no effect on the direction of Keeson Technology i.e., Keeson Technology and Kuangda Technology go up and down completely randomly.
Pair Corralation between Keeson Technology and Kuangda Technology
Assuming the 90 days trading horizon Keeson Technology is expected to generate 1.52 times less return on investment than Kuangda Technology. But when comparing it to its historical volatility, Keeson Technology Corp is 1.31 times less risky than Kuangda Technology. It trades about 0.16 of its potential returns per unit of risk. Kuangda Technology Group is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 370.00 in Kuangda Technology Group on August 31, 2024 and sell it today you would earn a total of 152.00 from holding Kuangda Technology Group or generate 41.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Keeson Technology Corp vs. Kuangda Technology Group
Performance |
Timeline |
Keeson Technology Corp |
Kuangda Technology |
Keeson Technology and Kuangda Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Keeson Technology and Kuangda Technology
The main advantage of trading using opposite Keeson Technology and Kuangda Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Keeson Technology position performs unexpectedly, Kuangda Technology 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 Kuangda Technology will offset losses from the drop in Kuangda Technology's long position.Keeson Technology vs. China State Construction | Keeson Technology vs. China Merchants Shekou | Keeson Technology vs. Huafa Industrial Co | Keeson Technology vs. China International Capital |
Kuangda Technology vs. China State Construction | Kuangda Technology vs. China Merchants Shekou | Kuangda Technology vs. Huafa Industrial Co | Kuangda Technology vs. China International Capital |
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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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