Correlation Between Microsoft and TFS FINANCIAL
Can any of the company-specific risk be diversified away by investing in both Microsoft and TFS FINANCIAL 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 TFS FINANCIAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and TFS FINANCIAL, you can compare the effects of market volatilities on Microsoft and TFS FINANCIAL 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 TFS FINANCIAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and TFS FINANCIAL.
Diversification Opportunities for Microsoft and TFS FINANCIAL
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Microsoft and TFS is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and TFS FINANCIAL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TFS FINANCIAL 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 TFS FINANCIAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TFS FINANCIAL has no effect on the direction of Microsoft i.e., Microsoft and TFS FINANCIAL go up and down completely randomly.
Pair Corralation between Microsoft and TFS FINANCIAL
Assuming the 90 days trading horizon Microsoft is expected to generate 1.71 times less return on investment than TFS FINANCIAL. But when comparing it to its historical volatility, Microsoft is 1.99 times less risky than TFS FINANCIAL. It trades about 0.2 of its potential returns per unit of risk. TFS FINANCIAL is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 1,210 in TFS FINANCIAL on September 1, 2024 and sell it today you would earn a total of 120.00 from holding TFS FINANCIAL or generate 9.92% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Microsoft vs. TFS FINANCIAL
Performance |
| Timeline |
| Microsoft |
| TFS FINANCIAL |
Microsoft and TFS FINANCIAL Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and TFS FINANCIAL
The main advantage of trading using opposite Microsoft and TFS FINANCIAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, TFS FINANCIAL 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 TFS FINANCIAL will offset losses from the drop in TFS FINANCIAL's long position.| Microsoft vs. Pentair plc | Microsoft vs. Norwegian Air Shuttle | Microsoft vs. GEELY AUTOMOBILE | Microsoft vs. DELTA AIR LINES |
| TFS FINANCIAL vs. Infrastrutture Wireless Italiane | TFS FINANCIAL vs. Sumitomo Chemical | TFS FINANCIAL vs. Sekisui Chemical Co | TFS FINANCIAL vs. 24SEVENOFFICE GROUP AB |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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