Correlation Between COMBA TELECOM and Delta Electronics
Can any of the company-specific risk be diversified away by investing in both COMBA TELECOM and Delta Electronics 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 Delta Electronics 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 Delta Electronics Public, you can compare the effects of market volatilities on COMBA TELECOM and Delta Electronics 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 Delta Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of COMBA TELECOM and Delta Electronics.
Diversification Opportunities for COMBA TELECOM and Delta Electronics
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between COMBA and Delta is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding COMBA TELECOM SYST and Delta Electronics Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Delta Electronics Public 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 Delta Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Delta Electronics Public has no effect on the direction of COMBA TELECOM i.e., COMBA TELECOM and Delta Electronics go up and down completely randomly.
Pair Corralation between COMBA TELECOM and Delta Electronics
Assuming the 90 days trading horizon COMBA TELECOM is expected to generate 3.6 times less return on investment than Delta Electronics. But when comparing it to its historical volatility, COMBA TELECOM SYST is 2.98 times less risky than Delta Electronics. It trades about 0.31 of its potential returns per unit of risk. Delta Electronics Public is currently generating about 0.37 of returns per unit of risk over similar time horizon. If you would invest 246.00 in Delta Electronics Public on April 21, 2025 and sell it today you would earn a total of 108.00 from holding Delta Electronics Public or generate 43.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
COMBA TELECOM SYST vs. Delta Electronics Public
Performance |
Timeline |
COMBA TELECOM SYST |
Delta Electronics Public |
COMBA TELECOM and Delta Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COMBA TELECOM and Delta Electronics
The main advantage of trading using opposite COMBA TELECOM and Delta Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COMBA TELECOM position performs unexpectedly, Delta Electronics 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 Delta Electronics will offset losses from the drop in Delta Electronics' long position.COMBA TELECOM vs. MI Homes | COMBA TELECOM vs. Fukuyama Transporting Co | COMBA TELECOM vs. CITY OFFICE REIT | COMBA TELECOM vs. DFS Furniture PLC |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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