Correlation Between Microsoft and SPAC

Can any of the company-specific risk be diversified away by investing in both Microsoft and SPAC 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 SPAC into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Microsoft and SPAC and New, you can compare the effects of market volatilities on Microsoft and SPAC 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 SPAC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and SPAC.

Diversification Opportunities for Microsoft and SPAC

0.66

Correlation Coefficient

Microsoft  SPAC

Poor diversification

The 3 months correlation between Microsoft and SPAC is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and SPAC and New in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPAC and New 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 SPAC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPAC and New has no effect on the direction of Microsoft i.e., Microsoft and SPAC go up and down completely randomly.

Pair Corralation between Microsoft and SPAC

Given the investment horizon of 90 days Microsoft is expected to generate 0.84 times more return on investment than SPAC. However, Microsoft is 1.19 times less risky than SPAC. It trades about 0.38 of its potential returns per unit of risk. SPAC and New is currently generating about 0.06 per unit of risk. If you would invest  43,448  in Microsoft on May 2, 2025 and sell it today you would earn a total of  9,902  from holding Microsoft or generate 22.79% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Microsoft  vs.  SPAC and New

Microsoft

Risk-Adjusted Performance

Strong

Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 29 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively weak technical and fundamental indicators, Microsoft unveiled solid returns over the last few months and may actually be approaching a breakup point.

SPAC and New

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in SPAC and New are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of fairly strong fundamental indicators, SPAC is not utilizing all of its potentials. The recent stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Microsoft and SPAC

The main advantage of trading using opposite Microsoft and SPAC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, SPAC 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 SPAC will offset losses from the drop in SPAC's long position.

The idea behind Microsoft and SPAC and New 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.

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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.