Correlation Between Microsoft and Catalystmap Global
Can any of the company-specific risk be diversified away by investing in both Microsoft and Catalystmap Global 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 Catalystmap Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Catalystmap Global Equity, you can compare the effects of market volatilities on Microsoft and Catalystmap Global 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 Catalystmap Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Catalystmap Global.
Diversification Opportunities for Microsoft and Catalystmap Global
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Microsoft and Catalystmap is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Catalystmap Global Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalystmap Global Equity 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 Catalystmap Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalystmap Global Equity has no effect on the direction of Microsoft i.e., Microsoft and Catalystmap Global go up and down completely randomly.
Pair Corralation between Microsoft and Catalystmap Global
Given the investment horizon of 90 days Microsoft is expected to generate 0.88 times more return on investment than Catalystmap Global. However, Microsoft is 1.14 times less risky than Catalystmap Global. It trades about 0.04 of its potential returns per unit of risk. Catalystmap Global Equity is currently generating about -0.27 per unit of risk. If you would invest 42,299 in Microsoft on September 28, 2024 and sell it today you would earn a total of 422.00 from holding Microsoft or generate 1.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Catalystmap Global Equity
Performance |
Timeline |
Microsoft |
Catalystmap Global Equity |
Microsoft and Catalystmap Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Catalystmap Global
The main advantage of trading using opposite Microsoft and Catalystmap Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Catalystmap Global 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 Catalystmap Global will offset losses from the drop in Catalystmap Global's long position.Microsoft vs. BlackBerry | Microsoft vs. Global Blue Group | Microsoft vs. Aurora Mobile | Microsoft vs. Marqeta |
Catalystmap Global vs. Catalystsmh High Income | Catalystmap Global vs. Catalystsmh High Income | Catalystmap Global vs. Catalystsmh High Income | Catalystmap Global vs. Catalyst Mlp Infrastructure |
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.
Other Complementary Tools
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Transaction History View history of all your transactions and understand their impact on performance | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |