Correlation Between Microsoft and Kingstone Companies
Can any of the company-specific risk be diversified away by investing in both Microsoft and Kingstone Companies 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 Kingstone Companies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Kingstone Companies, you can compare the effects of market volatilities on Microsoft and Kingstone Companies 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 Kingstone Companies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Kingstone Companies.
Diversification Opportunities for Microsoft and Kingstone Companies
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Microsoft and Kingstone is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Kingstone Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kingstone Companies 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 Kingstone Companies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kingstone Companies has no effect on the direction of Microsoft i.e., Microsoft and Kingstone Companies go up and down completely randomly.
Pair Corralation between Microsoft and Kingstone Companies
Given the investment horizon of 90 days Microsoft is expected to under-perform the Kingstone Companies. But the stock apears to be less risky and, when comparing its historical volatility, Microsoft is 2.85 times less risky than Kingstone Companies. The stock trades about -0.11 of its potential returns per unit of risk. The Kingstone Companies is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,557 in Kingstone Companies on December 30, 2024 and sell it today you would earn a total of 142.00 from holding Kingstone Companies or generate 9.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Kingstone Companies
Performance |
Timeline |
Microsoft |
Kingstone Companies |
Microsoft and Kingstone Companies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Kingstone Companies
The main advantage of trading using opposite Microsoft and Kingstone Companies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Kingstone Companies 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 Kingstone Companies will offset losses from the drop in Kingstone Companies' long position.Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Adobe Systems Incorporated | Microsoft vs. Crowdstrike Holdings |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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