Correlation Between Microsoft and Wipro

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

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

Diversification Opportunities for Microsoft and Wipro

0.87

Correlation Coefficient

Microsoft  Wipro

Very poor diversification

The 3 months correlation between Microsoft and Wipro is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Wipro in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wipro 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 Wipro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wipro has no effect on the direction of Microsoft i.e., Microsoft and Wipro go up and down completely randomly.

Pair Corralation between Microsoft and Wipro

Assuming the 90 days trading horizon Microsoft is expected to generate 0.68 times more return on investment than Wipro. However, Microsoft is 1.47 times less risky than Wipro. It trades about 0.1 of its potential returns per unit of risk. Wipro is currently generating about 0.06 per unit of risk. If you would invest  22,113  in Microsoft on September 19, 2024 and sell it today you would earn a total of  21,062  from holding Microsoft or generate 95.25% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	99.8%
Values	Daily Returns

Microsoft  vs.  Wipro

Microsoft

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain technical and fundamental indicators, Microsoft may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Wipro

Risk-Adjusted Performance

11 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Wipro are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Wipro unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Microsoft and Wipro

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

The idea behind Microsoft and Wipro 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.