Correlation Between Microsoft and Comba Telecom
Can any of the company-specific risk be diversified away by investing in both Microsoft 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 Microsoft and Comba Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Comba Telecom Systems, you can compare the effects of market volatilities on Microsoft 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 Microsoft with a short position of Comba Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Comba Telecom.
Diversification Opportunities for Microsoft and Comba Telecom
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Microsoft and Comba is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Comba Telecom Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Comba Telecom Systems and Microsoft 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 Microsoft 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 Systems has no effect on the direction of Microsoft i.e., Microsoft and Comba Telecom go up and down completely randomly.
Pair Corralation between Microsoft and Comba Telecom
Assuming the 90 days trading horizon Microsoft is expected to generate 0.27 times more return on investment than Comba Telecom. However, Microsoft is 3.7 times less risky than Comba Telecom. It trades about -0.27 of its potential returns per unit of risk. Comba Telecom Systems is currently generating about -0.13 per unit of risk. If you would invest 42,925 in Microsoft on October 13, 2024 and sell it today you would lose (1,700) from holding Microsoft or give up 3.96% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Comba Telecom Systems
Performance |
Timeline |
Microsoft |
Comba Telecom Systems |
Microsoft and Comba Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Comba Telecom
The main advantage of trading using opposite Microsoft and Comba Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft 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.Microsoft vs. ANTA SPORTS PRODUCT | Microsoft vs. Salesforce | Microsoft vs. Jacquet Metal Service | Microsoft vs. ADRIATIC METALS LS 013355 |
Comba Telecom vs. Apple Inc | Comba Telecom vs. Apple Inc | Comba Telecom vs. Apple Inc | Comba Telecom vs. Apple Inc |
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Other Complementary Tools
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |