Correlation Between MicroStrategy Incorporated and SGS SA
Can any of the company-specific risk be diversified away by investing in both MicroStrategy Incorporated and SGS SA 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 MicroStrategy Incorporated and SGS SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MicroStrategy Incorporated and SGS SA, you can compare the effects of market volatilities on MicroStrategy Incorporated and SGS SA 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 MicroStrategy Incorporated with a short position of SGS SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroStrategy Incorporated and SGS SA.
Diversification Opportunities for MicroStrategy Incorporated and SGS SA
-0.88 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between MicroStrategy and SGS is -0.88. Overlapping area represents the amount of risk that can be diversified away by holding MicroStrategy Incorporated and SGS SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SGS SA and MicroStrategy Incorporated 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 MicroStrategy Incorporated are associated (or correlated) with SGS SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SGS SA has no effect on the direction of MicroStrategy Incorporated i.e., MicroStrategy Incorporated and SGS SA go up and down completely randomly.
Pair Corralation between MicroStrategy Incorporated and SGS SA
Given the investment horizon of 90 days MicroStrategy Incorporated is expected to generate 2.63 times more return on investment than SGS SA. However, MicroStrategy Incorporated is 2.63 times more volatile than SGS SA. It trades about 0.29 of its potential returns per unit of risk. SGS SA is currently generating about -0.06 per unit of risk. If you would invest 13,267 in MicroStrategy Incorporated on September 18, 2024 and sell it today you would earn a total of 27,583 from holding MicroStrategy Incorporated or generate 207.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
MicroStrategy Incorporated vs. SGS SA
Performance |
Timeline |
MicroStrategy Incorporated |
SGS SA |
MicroStrategy Incorporated and SGS SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MicroStrategy Incorporated and SGS SA
The main advantage of trading using opposite MicroStrategy Incorporated and SGS SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroStrategy Incorporated position performs unexpectedly, SGS SA 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 SGS SA will offset losses from the drop in SGS SA's long position.MicroStrategy Incorporated vs. Autodesk | MicroStrategy Incorporated vs. Intuit Inc | MicroStrategy Incorporated vs. Zoom Video Communications | MicroStrategy Incorporated vs. Snowflake |
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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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