Correlation Between COMBA TELECOM and KUAISHOU TECHNOLOGY
Can any of the company-specific risk be diversified away by investing in both COMBA TELECOM and KUAISHOU TECHNOLOGY 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 COMBA TELECOM and KUAISHOU TECHNOLOGY into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between COMBA TELECOM SYST and KUAISHOU TECHNOLOGY CLB, you can compare the effects of market volatilities on COMBA TELECOM and KUAISHOU 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 COMBA TELECOM with a short position of KUAISHOU TECHNOLOGY. Check out your portfolio center. Please also check ongoing floating volatility patterns of COMBA TELECOM and KUAISHOU TECHNOLOGY.
Diversification Opportunities for COMBA TELECOM and KUAISHOU TECHNOLOGY
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between COMBA and KUAISHOU is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding COMBA TELECOM SYST and KUAISHOU TECHNOLOGY CLB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KUAISHOU TECHNOLOGY CLB and COMBA TELECOM 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 COMBA TELECOM SYST are associated (or correlated) with KUAISHOU TECHNOLOGY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KUAISHOU TECHNOLOGY CLB has no effect on the direction of COMBA TELECOM i.e., COMBA TELECOM and KUAISHOU TECHNOLOGY go up and down completely randomly.
Pair Corralation between COMBA TELECOM and KUAISHOU TECHNOLOGY
Assuming the 90 days trading horizon COMBA TELECOM SYST is expected to generate 1.01 times more return on investment than KUAISHOU TECHNOLOGY. However, COMBA TELECOM is 1.01 times more volatile than KUAISHOU TECHNOLOGY CLB. It trades about 0.01 of its potential returns per unit of risk. KUAISHOU TECHNOLOGY CLB is currently generating about -0.04 per unit of risk. If you would invest 13.00 in COMBA TELECOM SYST on October 23, 2024 and sell it today you would earn a total of 0.00 from holding COMBA TELECOM SYST or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.33% |
Values | Daily Returns |
COMBA TELECOM SYST vs. KUAISHOU TECHNOLOGY CLB
Performance |
Timeline |
COMBA TELECOM SYST |
KUAISHOU TECHNOLOGY CLB |
COMBA TELECOM and KUAISHOU TECHNOLOGY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COMBA TELECOM and KUAISHOU TECHNOLOGY
The main advantage of trading using opposite COMBA TELECOM and KUAISHOU TECHNOLOGY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COMBA TELECOM position performs unexpectedly, KUAISHOU 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 KUAISHOU TECHNOLOGY will offset losses from the drop in KUAISHOU TECHNOLOGY's long position.COMBA TELECOM vs. Apple Inc | COMBA TELECOM vs. Apple Inc | COMBA TELECOM vs. Apple Inc | COMBA TELECOM vs. Apple 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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