Correlation Between Microsoft and 456837AH6
Specify exactly 2 symbols:
By analyzing existing cross correlation between Microsoft and ING GROEP N, you can compare the effects of market volatilities on Microsoft and 456837AH6 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 456837AH6. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and 456837AH6.
Diversification Opportunities for Microsoft and 456837AH6
Very good diversification
The 3 months correlation between Microsoft and 456837AH6 is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and ING GROEP N in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ING GROEP N 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 456837AH6. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ING GROEP N has no effect on the direction of Microsoft i.e., Microsoft and 456837AH6 go up and down completely randomly.
Pair Corralation between Microsoft and 456837AH6
Given the investment horizon of 90 days Microsoft is expected to generate 2.4 times more return on investment than 456837AH6. However, Microsoft is 2.4 times more volatile than ING GROEP N. It trades about 0.07 of its potential returns per unit of risk. ING GROEP N is currently generating about -0.12 per unit of risk. If you would invest 41,064 in Microsoft on October 6, 2024 and sell it today you would earn a total of 1,271 from holding Microsoft or generate 3.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 56.1% |
Values | Daily Returns |
Microsoft vs. ING GROEP N
Performance |
Timeline |
Microsoft |
ING GROEP N |
Microsoft and 456837AH6 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and 456837AH6
The main advantage of trading using opposite Microsoft and 456837AH6 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, 456837AH6 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 456837AH6 will offset losses from the drop in 456837AH6's long position.Microsoft vs. Lesaka Technologies | Microsoft vs. Priority Technology Holdings | Microsoft vs. CSG Systems International | Microsoft vs. OneSpan |
456837AH6 vs. Summit Materials | 456837AH6 vs. Getty Copper | 456837AH6 vs. Barrick Gold Corp | 456837AH6 vs. Highway Holdings Limited |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Complementary Tools
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |