Correlation Between Siltronic and COMBA TELECOM
Can any of the company-specific risk be diversified away by investing in both Siltronic and COMBA TELECOM 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 Siltronic and COMBA TELECOM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siltronic AG and COMBA TELECOM SYST, you can compare the effects of market volatilities on Siltronic and COMBA TELECOM 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 Siltronic with a short position of COMBA TELECOM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siltronic and COMBA TELECOM.
Diversification Opportunities for Siltronic and COMBA TELECOM
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Siltronic and COMBA is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Siltronic AG and COMBA TELECOM SYST in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COMBA TELECOM SYST and Siltronic 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 Siltronic AG are associated (or correlated) with COMBA TELECOM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COMBA TELECOM SYST has no effect on the direction of Siltronic i.e., Siltronic and COMBA TELECOM go up and down completely randomly.
Pair Corralation between Siltronic and COMBA TELECOM
Assuming the 90 days horizon Siltronic AG is expected to under-perform the COMBA TELECOM. But the stock apears to be less risky and, when comparing its historical volatility, Siltronic AG is 1.03 times less risky than COMBA TELECOM. The stock trades about -0.02 of its potential returns per unit of risk. The COMBA TELECOM SYST is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 15.00 in COMBA TELECOM SYST on December 1, 2024 and sell it today you would earn a total of 3.00 from holding COMBA TELECOM SYST or generate 20.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Siltronic AG vs. COMBA TELECOM SYST
Performance |
| Timeline |
| Siltronic AG |
| COMBA TELECOM SYST |
Siltronic and COMBA TELECOM Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Siltronic and COMBA TELECOM
The main advantage of trading using opposite Siltronic and COMBA TELECOM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siltronic position performs unexpectedly, COMBA TELECOM 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 COMBA TELECOM will offset losses from the drop in COMBA TELECOM's long position.| Siltronic vs. NVIDIA | Siltronic vs. NVIDIA | Siltronic vs. Taiwan Semiconductor Manufacturing | Siltronic vs. Broadcom |
| COMBA TELECOM vs. FUYO GENERAL LEASE | COMBA TELECOM vs. GRENKELEASING Dusseldorf | COMBA TELECOM vs. RCS Mediagroup SpA | COMBA TELECOM vs. WILLIS LEASE FIN |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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