Correlation Between Microsoft and Federated
Can any of the company-specific risk be diversified away by investing in both Microsoft and Federated 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 Federated into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Federated U S, you can compare the effects of market volatilities on Microsoft and Federated 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 Federated. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Federated.
Diversification Opportunities for Microsoft and Federated
Average diversification
The 3 months correlation between Microsoft and Federated is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Federated U S in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated U S 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 Federated. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated U S has no effect on the direction of Microsoft i.e., Microsoft and Federated go up and down completely randomly.
Pair Corralation between Microsoft and Federated
Given the investment horizon of 90 days Microsoft is expected to generate 1.77 times less return on investment than Federated. In addition to that, Microsoft is 5.58 times more volatile than Federated U S. It trades about 0.01 of its total potential returns per unit of risk. Federated U S is currently generating about 0.07 per unit of volatility. If you would invest 945.00 in Federated U S on September 14, 2024 and sell it today you would earn a total of 19.00 from holding Federated U S or generate 2.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Federated U S
Performance |
Timeline |
Microsoft |
Federated U S |
Microsoft and Federated Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Federated
The main advantage of trading using opposite Microsoft and Federated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Federated 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 Federated will offset losses from the drop in Federated's long position.Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
Federated vs. Federated Emerging Market | Federated vs. Federated Mdt All | Federated vs. Federated Mdt Balanced | Federated vs. Federated Global Allocation |
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.
Other Complementary Tools
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings |