Correlation Between Longmaster Information and Konfoong Materials
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By analyzing existing cross correlation between Longmaster Information Tech and Konfoong Materials International, you can compare the effects of market volatilities on Longmaster Information and Konfoong Materials 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 Longmaster Information with a short position of Konfoong Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Longmaster Information and Konfoong Materials.
Diversification Opportunities for Longmaster Information and Konfoong Materials
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Longmaster and Konfoong is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Longmaster Information Tech and Konfoong Materials Internation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Konfoong Materials and Longmaster Information 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 Longmaster Information Tech are associated (or correlated) with Konfoong Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Konfoong Materials has no effect on the direction of Longmaster Information i.e., Longmaster Information and Konfoong Materials go up and down completely randomly.
Pair Corralation between Longmaster Information and Konfoong Materials
Assuming the 90 days trading horizon Longmaster Information Tech is expected to generate 1.67 times more return on investment than Konfoong Materials. However, Longmaster Information is 1.67 times more volatile than Konfoong Materials International. It trades about 0.0 of its potential returns per unit of risk. Konfoong Materials International is currently generating about -0.02 per unit of risk. If you would invest 1,583 in Longmaster Information Tech on December 27, 2024 and sell it today you would lose (61.00) from holding Longmaster Information Tech or give up 3.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Longmaster Information Tech vs. Konfoong Materials Internation
Performance |
Timeline |
Longmaster Information |
Konfoong Materials |
Longmaster Information and Konfoong Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Longmaster Information and Konfoong Materials
The main advantage of trading using opposite Longmaster Information and Konfoong Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Longmaster Information position performs unexpectedly, Konfoong Materials 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 Konfoong Materials will offset losses from the drop in Konfoong Materials' long position.Longmaster Information vs. BYD Co Ltd | Longmaster Information vs. China Mobile Limited | Longmaster Information vs. Agricultural Bank of | Longmaster Information vs. Industrial and Commercial |
Konfoong Materials vs. Huatian Hotel Group | Konfoong Materials vs. Jinling Hotel Corp | Konfoong Materials vs. Shanghai V Test Semiconductor | Konfoong Materials vs. Ningbo Daye Garden |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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