Correlation Between Microsoft and AMERICAN POTASH
Can any of the company-specific risk be diversified away by investing in both Microsoft and AMERICAN POTASH 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 AMERICAN POTASH into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and AMERICAN POTASH P, you can compare the effects of market volatilities on Microsoft and AMERICAN POTASH 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 AMERICAN POTASH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and AMERICAN POTASH.
Diversification Opportunities for Microsoft and AMERICAN POTASH
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Microsoft and AMERICAN is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and AMERICAN POTASH P in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AMERICAN POTASH P 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 AMERICAN POTASH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AMERICAN POTASH P has no effect on the direction of Microsoft i.e., Microsoft and AMERICAN POTASH go up and down completely randomly.
Pair Corralation between Microsoft and AMERICAN POTASH
Assuming the 90 days trading horizon Microsoft is expected to generate 0.13 times more return on investment than AMERICAN POTASH. However, Microsoft is 7.68 times less risky than AMERICAN POTASH. It trades about 0.1 of its potential returns per unit of risk. AMERICAN POTASH P is currently generating about 0.01 per unit of risk. If you would invest 38,450 in Microsoft on September 27, 2024 and sell it today you would earn a total of 3,250 from holding Microsoft or generate 8.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. AMERICAN POTASH P
Performance |
Timeline |
Microsoft |
AMERICAN POTASH P |
Microsoft and AMERICAN POTASH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and AMERICAN POTASH
The main advantage of trading using opposite Microsoft and AMERICAN POTASH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, AMERICAN POTASH 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 AMERICAN POTASH will offset losses from the drop in AMERICAN POTASH's long position.Microsoft vs. ELECTRONIC ARTS | Microsoft vs. Schweizer Electronic AG | Microsoft vs. GAMESTOP | Microsoft vs. KIMBALL ELECTRONICS |
AMERICAN POTASH vs. Apple Inc | AMERICAN POTASH vs. Apple Inc | AMERICAN POTASH vs. Apple Inc | AMERICAN POTASH vs. Apple Inc |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Other Complementary Tools
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |