Correlation Between Microsoft and The Hartford
Can any of the company-specific risk be diversified away by investing in both Microsoft and The Hartford 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 The Hartford into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and The Hartford Growth, you can compare the effects of market volatilities on Microsoft and The Hartford 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 The Hartford. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and The Hartford.
Diversification Opportunities for Microsoft and The Hartford
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Microsoft and The is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and The Hartford Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford Growth 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 The Hartford. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Growth has no effect on the direction of Microsoft i.e., Microsoft and The Hartford go up and down completely randomly.
Pair Corralation between Microsoft and The Hartford
Given the investment horizon of 90 days Microsoft is expected to generate 1.62 times less return on investment than The Hartford. In addition to that, Microsoft is 1.08 times more volatile than The Hartford Growth. It trades about 0.06 of its total potential returns per unit of risk. The Hartford Growth is currently generating about 0.11 per unit of volatility. If you would invest 4,662 in The Hartford Growth on August 31, 2024 and sell it today you would earn a total of 2,801 from holding The Hartford Growth or generate 60.08% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Microsoft vs. The Hartford Growth
Performance |
| Timeline |
| Microsoft |
| Hartford Growth |
Microsoft and The Hartford Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and The Hartford
The main advantage of trading using opposite Microsoft and The Hartford positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, The Hartford 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 The Hartford will offset losses from the drop in The Hartford's long position.| Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
| The Hartford vs. Americafirst Large Cap | The Hartford vs. Aqr Large Cap | The Hartford vs. Dunham Large Cap | The Hartford vs. Qs Large Cap |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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