Correlation Between Microsoft and WPP -

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

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

Diversification Opportunities for Microsoft and WPP -

0.34

Correlation Coefficient

Microsoft  WPP -

Weak diversification

The 3 months correlation between Microsoft and WPP is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and WPP Dusseldorf in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WPP Dusseldorf 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 WPP -. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WPP Dusseldorf has no effect on the direction of Microsoft i.e., Microsoft and WPP - go up and down completely randomly.

Pair Corralation between Microsoft and WPP -

Assuming the 90 days trading horizon Microsoft is expected to generate 0.79 times more return on investment than WPP -. However, Microsoft is 1.26 times less risky than WPP -. It trades about -0.14 of its potential returns per unit of risk. WPP Dusseldorf is currently generating about -0.2 per unit of risk. If you would invest  41,616  in Microsoft on December 22, 2024 and sell it today you would lose (6,036) from holding Microsoft or give up 14.5% of portfolio value over 90 days.

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

Microsoft  vs.  WPP Dusseldorf

Microsoft

Risk-Adjusted Performance

Very Weak

Over the last 90 days Microsoft has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fragile performance in the last few months, the Stock's technical and fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for the firm shareholders.

WPP Dusseldorf

Risk-Adjusted Performance

Very Weak

Over the last 90 days WPP Dusseldorf has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fragile performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in April 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Pair Trading with Microsoft and WPP -

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

The idea behind Microsoft and WPP Dusseldorf 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 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.