Correlation Between Kuangda Technology and Shenzhen Noposion
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By analyzing existing cross correlation between Kuangda Technology Group and Shenzhen Noposion Agrochemicals, you can compare the effects of market volatilities on Kuangda Technology and Shenzhen Noposion 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 Kuangda Technology with a short position of Shenzhen Noposion. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kuangda Technology and Shenzhen Noposion.
Diversification Opportunities for Kuangda Technology and Shenzhen Noposion
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Kuangda and Shenzhen is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Kuangda Technology Group and Shenzhen Noposion Agrochemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen Noposion and Kuangda 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 Kuangda Technology Group are associated (or correlated) with Shenzhen Noposion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen Noposion has no effect on the direction of Kuangda Technology i.e., Kuangda Technology and Shenzhen Noposion go up and down completely randomly.
Pair Corralation between Kuangda Technology and Shenzhen Noposion
Assuming the 90 days trading horizon Kuangda Technology is expected to generate 4.75 times less return on investment than Shenzhen Noposion. In addition to that, Kuangda Technology is 1.32 times more volatile than Shenzhen Noposion Agrochemicals. It trades about 0.05 of its total potential returns per unit of risk. Shenzhen Noposion Agrochemicals is currently generating about 0.33 per unit of volatility. If you would invest 967.00 in Shenzhen Noposion Agrochemicals on September 22, 2024 and sell it today you would earn a total of 204.00 from holding Shenzhen Noposion Agrochemicals or generate 21.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Kuangda Technology Group vs. Shenzhen Noposion Agrochemical
Performance |
Timeline |
Kuangda Technology |
Shenzhen Noposion |
Kuangda Technology and Shenzhen Noposion Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kuangda Technology and Shenzhen Noposion
The main advantage of trading using opposite Kuangda Technology and Shenzhen Noposion positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kuangda Technology position performs unexpectedly, Shenzhen Noposion 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 Shenzhen Noposion will offset losses from the drop in Shenzhen Noposion's long position.Kuangda Technology vs. Nanjing Putian Telecommunications | Kuangda Technology vs. Tianjin Realty Development | Kuangda Technology vs. Kangyue Technology Co | Kuangda Technology vs. Shenzhen Hifuture Electric |
Shenzhen Noposion vs. MayAir Technology Co | Shenzhen Noposion vs. Northern United Publishing | Shenzhen Noposion vs. Dymatic Chemicals | Shenzhen Noposion vs. Lander Sports Development |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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