Correlation Between Microsoft and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Microsoft and Goldman Sachs 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 Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Goldman Sachs Balanced, you can compare the effects of market volatilities on Microsoft and Goldman Sachs 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 Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Goldman Sachs.
Diversification Opportunities for Microsoft and Goldman Sachs
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Microsoft and Goldman is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Goldman Sachs Balanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Balanced 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 Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Balanced has no effect on the direction of Microsoft i.e., Microsoft and Goldman Sachs go up and down completely randomly.
Pair Corralation between Microsoft and Goldman Sachs
Given the investment horizon of 90 days Microsoft is expected to generate 3.43 times more return on investment than Goldman Sachs. However, Microsoft is 3.43 times more volatile than Goldman Sachs Balanced. It trades about 0.08 of its potential returns per unit of risk. Goldman Sachs Balanced is currently generating about 0.09 per unit of risk. If you would invest 25,277 in Microsoft on September 3, 2024 and sell it today you would earn a total of 17,069 from holding Microsoft or generate 67.53% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Microsoft vs. Goldman Sachs Balanced
Performance |
| Timeline |
| Microsoft |
| Goldman Sachs Balanced |
Microsoft and Goldman Sachs Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and Goldman Sachs
The main advantage of trading using opposite Microsoft and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.| Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
| Goldman Sachs vs. Shelton Emerging Markets | Goldman Sachs vs. Legg Mason Partners | Goldman Sachs vs. Kinetics Market Opportunities | Goldman Sachs vs. Morgan Stanley Emerging |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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