Correlation Between DATALOGIC and Microsoft

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

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

Diversification Opportunities for DATALOGIC and Microsoft

0.71

Correlation Coefficient

DATALOGIC  Microsoft

Poor diversification

The 3 months correlation between DATALOGIC and Microsoft is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding DATALOGIC and Microsoft in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microsoft and DATALOGIC 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 DATALOGIC are associated (or correlated) with Microsoft. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microsoft has no effect on the direction of DATALOGIC i.e., DATALOGIC and Microsoft go up and down completely randomly.

Pair Corralation between DATALOGIC and Microsoft

Assuming the 90 days trading horizon DATALOGIC is expected to under-perform the Microsoft. In addition to that, DATALOGIC is 1.72 times more volatile than Microsoft. It trades about -0.02 of its total potential returns per unit of risk. Microsoft is currently generating about 0.05 per unit of volatility. If you would invest  30,504  in Microsoft on March 23, 2025 and sell it today you would earn a total of  10,976  from holding Microsoft or generate 35.98% return on investment over 90 days.

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

DATALOGIC  vs.  Microsoft

DATALOGIC

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in DATALOGIC are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound technical and fundamental indicators, DATALOGIC is not utilizing all of its potentials. The newest stock price tumult, may contribute to shorter-term losses for the shareholders.

Microsoft

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile basic indicators, Microsoft unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with DATALOGIC and Microsoft

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

The idea behind DATALOGIC and Microsoft 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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.