Correlation Between Microsoft and Square
Can any of the company-specific risk be diversified away by investing in both Microsoft and Square 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 Square into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Square Inc, you can compare the effects of market volatilities on Microsoft and Square 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 Square. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Square.
Diversification Opportunities for Microsoft and Square
Poor diversification
The 3 months correlation between Microsoft and Square is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Square Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Square Inc 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 Square. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Square Inc has no effect on the direction of Microsoft i.e., Microsoft and Square go up and down completely randomly.
Pair Corralation between Microsoft and Square
Assuming the 90 days horizon Microsoft is expected to generate 4.52 times less return on investment than Square. But when comparing it to its historical volatility, Microsoft is 1.87 times less risky than Square. It trades about 0.09 of its potential returns per unit of risk. Square Inc is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 5,790 in Square Inc on September 3, 2024 and sell it today you would earn a total of 2,527 from holding Square Inc or generate 43.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Square Inc
Performance |
Timeline |
Microsoft |
Square Inc |
Microsoft and Square Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Square
The main advantage of trading using opposite Microsoft and Square positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Square 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 Square will offset losses from the drop in Square's long position.The idea behind Microsoft and Square Inc pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Square vs. Microsoft | Square vs. CrowdStrike Holdings | Square vs. VeriSign | Square vs. Palantir Technologies |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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