Correlation Between COMBA TELECOM and SERI INDUSTRIAL
Can any of the company-specific risk be diversified away by investing in both COMBA TELECOM and SERI INDUSTRIAL 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 SERI INDUSTRIAL 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 SERI INDUSTRIAL EO, you can compare the effects of market volatilities on COMBA TELECOM and SERI INDUSTRIAL 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 SERI INDUSTRIAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of COMBA TELECOM and SERI INDUSTRIAL.
Diversification Opportunities for COMBA TELECOM and SERI INDUSTRIAL
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between COMBA and SERI is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding COMBA TELECOM SYST and SERI INDUSTRIAL EO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SERI INDUSTRIAL EO 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 SERI INDUSTRIAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SERI INDUSTRIAL EO has no effect on the direction of COMBA TELECOM i.e., COMBA TELECOM and SERI INDUSTRIAL go up and down completely randomly.
Pair Corralation between COMBA TELECOM and SERI INDUSTRIAL
Assuming the 90 days trading horizon COMBA TELECOM SYST is expected to generate 0.99 times more return on investment than SERI INDUSTRIAL. However, COMBA TELECOM SYST is 1.01 times less risky than SERI INDUSTRIAL. It trades about 0.26 of its potential returns per unit of risk. SERI INDUSTRIAL EO is currently generating about -0.15 per unit of risk. If you would invest 13.00 in COMBA TELECOM SYST on December 21, 2024 and sell it today you would earn a total of 10.00 from holding COMBA TELECOM SYST or generate 76.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
COMBA TELECOM SYST vs. SERI INDUSTRIAL EO
Performance |
Timeline |
COMBA TELECOM SYST |
SERI INDUSTRIAL EO |
COMBA TELECOM and SERI INDUSTRIAL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COMBA TELECOM and SERI INDUSTRIAL
The main advantage of trading using opposite COMBA TELECOM and SERI INDUSTRIAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COMBA TELECOM position performs unexpectedly, SERI INDUSTRIAL 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 SERI INDUSTRIAL will offset losses from the drop in SERI INDUSTRIAL's long position.COMBA TELECOM vs. KIMBALL ELECTRONICS | COMBA TELECOM vs. Electronic Arts | COMBA TELECOM vs. FANDIFI TECHNOLOGY P | COMBA TELECOM vs. STMICROELECTRONICS |
SERI INDUSTRIAL vs. AUTO TRADER ADR | SERI INDUSTRIAL vs. Mobilezone Holding AG | SERI INDUSTRIAL vs. GEELY AUTOMOBILE | SERI INDUSTRIAL vs. SBA Communications Corp |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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