Correlation Between Microsoft and Aluminum

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

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

Diversification Opportunities for Microsoft and Aluminum

-0.51

Correlation Coefficient

Microsoft  Aluminum

Excellent diversification

The 3 months correlation between Microsoft and Aluminum is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Aluminum of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aluminum 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 Aluminum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aluminum has no effect on the direction of Microsoft i.e., Microsoft and Aluminum go up and down completely randomly.

Pair Corralation between Microsoft and Aluminum

Given the investment horizon of 90 days Microsoft is expected to generate 0.35 times more return on investment than Aluminum. However, Microsoft is 2.9 times less risky than Aluminum. It trades about 0.22 of its potential returns per unit of risk. Aluminum of is currently generating about -0.08 per unit of risk. If you would invest  41,287  in Microsoft on September 22, 2024 and sell it today you would earn a total of  2,373  from holding Microsoft or generate 5.75% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

Microsoft  vs.  Aluminum of

Microsoft

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable technical and fundamental indicators, Microsoft is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

Aluminum

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Aluminum of has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable primary indicators, Aluminum is not utilizing all of its potentials. The newest stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with Microsoft and Aluminum

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

The idea behind Microsoft and Aluminum of 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.