Correlation Between Microsoft and WR Berkley
Can any of the company-specific risk be diversified away by investing in both Microsoft and WR Berkley 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 WR Berkley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and WR Berkley, you can compare the effects of market volatilities on Microsoft and WR Berkley 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 WR Berkley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and WR Berkley.
Diversification Opportunities for Microsoft and WR Berkley
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Microsoft and WRB-PH is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and WR Berkley in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WR Berkley 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 WR Berkley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WR Berkley has no effect on the direction of Microsoft i.e., Microsoft and WR Berkley go up and down completely randomly.
Pair Corralation between Microsoft and WR Berkley
Given the investment horizon of 90 days Microsoft is expected to generate 1.71 times more return on investment than WR Berkley. However, Microsoft is 1.71 times more volatile than WR Berkley. It trades about -0.04 of its potential returns per unit of risk. WR Berkley is currently generating about -0.21 per unit of risk. If you would invest 43,167 in Microsoft on August 31, 2024 and sell it today you would lose (868.00) from holding Microsoft or give up 2.01% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Microsoft vs. WR Berkley
Performance |
| Timeline |
| Microsoft |
| WR Berkley |
Microsoft and WR Berkley Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Microsoft and WR Berkley
The main advantage of trading using opposite Microsoft and WR Berkley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, WR Berkley 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 WR Berkley will offset losses from the drop in WR Berkley's long position.| Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
| WR Berkley vs. Aspen Insurance Holdings | WR Berkley vs. Selective Insurance Group | WR Berkley vs. Aspen Insurance Holdings | WR Berkley vs. AmTrust Financial Services |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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