Correlation Between Microsoft and Biotech Medics
Can any of the company-specific risk be diversified away by investing in both Microsoft and Biotech Medics 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 Biotech Medics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Biotech Medics Ne, you can compare the effects of market volatilities on Microsoft and Biotech Medics 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 Biotech Medics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Biotech Medics.
Diversification Opportunities for Microsoft and Biotech Medics
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Microsoft and Biotech is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Biotech Medics Ne in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Biotech Medics Ne 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 Biotech Medics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Biotech Medics Ne has no effect on the direction of Microsoft i.e., Microsoft and Biotech Medics go up and down completely randomly.
Pair Corralation between Microsoft and Biotech Medics
Given the investment horizon of 90 days Microsoft is expected to under-perform the Biotech Medics. But the stock apears to be less risky and, when comparing its historical volatility, Microsoft is 8.45 times less risky than Biotech Medics. The stock trades about -0.05 of its potential returns per unit of risk. The Biotech Medics Ne is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 1.00 in Biotech Medics Ne on November 3, 2024 and sell it today you would earn a total of 0.59 from holding Biotech Medics Ne or generate 59.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Microsoft vs. Biotech Medics Ne
Performance |
| Timeline |
| Microsoft |
| Biotech Medics Ne |
Microsoft and Biotech Medics Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and Biotech Medics
The main advantage of trading using opposite Microsoft and Biotech Medics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Biotech Medics 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 Biotech Medics will offset losses from the drop in Biotech Medics' long position.| Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Adobe Systems Incorporated | Microsoft vs. Crowdstrike Holdings |
| Biotech Medics vs. ANI Pharmaceuticals | Biotech Medics vs. Phibro Animal Health | Biotech Medics vs. Prestige Brand Holdings | Biotech Medics vs. Alpha Teknova |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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