Correlation Between Microsoft and Jaguar Mining
Can any of the company-specific risk be diversified away by investing in both Microsoft and Jaguar Mining 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 Jaguar Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Jaguar Mining, you can compare the effects of market volatilities on Microsoft and Jaguar Mining 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 Jaguar Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Jaguar Mining.
Diversification Opportunities for Microsoft and Jaguar Mining
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Microsoft and Jaguar is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Jaguar Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jaguar Mining 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 Jaguar Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jaguar Mining has no effect on the direction of Microsoft i.e., Microsoft and Jaguar Mining go up and down completely randomly.
Pair Corralation between Microsoft and Jaguar Mining
Given the investment horizon of 90 days Microsoft is expected to generate 2.28 times less return on investment than Jaguar Mining. But when comparing it to its historical volatility, Microsoft is 3.32 times less risky than Jaguar Mining. It trades about 0.06 of its potential returns per unit of risk. Jaguar Mining is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 181.00 in Jaguar Mining on September 25, 2024 and sell it today you would earn a total of 42.00 from holding Jaguar Mining or generate 23.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.2% |
Values | Daily Returns |
Microsoft vs. Jaguar Mining
Performance |
Timeline |
Microsoft |
Jaguar Mining |
Microsoft and Jaguar Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Jaguar Mining
The main advantage of trading using opposite Microsoft and Jaguar Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Jaguar Mining 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 Jaguar Mining will offset losses from the drop in Jaguar Mining's long position.Microsoft vs. BlackBerry | Microsoft vs. Global Blue Group | Microsoft vs. Aurora Mobile | Microsoft vs. Marqeta |
Jaguar Mining vs. Wallbridge Mining | Jaguar Mining vs. Dundee Precious Metals | Jaguar Mining vs. International Tower Hill | Jaguar Mining vs. Centerra Gold |
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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