Correlation Between Microsoft and Nice

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Can any of the company-specific risk be diversified away by investing in both Microsoft and Nice 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 Nice into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Nice, you can compare the effects of market volatilities on Microsoft and Nice 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 Nice. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Nice.

Diversification Opportunities for Microsoft and Nice

0.7
  Correlation Coefficient

Poor diversification

The 3 months correlation between Microsoft and Nice is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Nice in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nice 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 Nice. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nice has no effect on the direction of Microsoft i.e., Microsoft and Nice go up and down completely randomly.

Pair Corralation between Microsoft and Nice

Given the investment horizon of 90 days Microsoft is expected to generate 0.65 times more return on investment than Nice. However, Microsoft is 1.53 times less risky than Nice. It trades about -0.14 of its potential returns per unit of risk. Nice is currently generating about -0.4 per unit of risk. If you would invest  42,165  in Microsoft on January 26, 2024 and sell it today you would lose (1,259) from holding Microsoft or give up 2.99% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy76.19%
ValuesDaily Returns

Microsoft  vs.  Nice

 Performance 
       Timeline  
Microsoft 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
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 latest stock price uproar, may contribute to short-horizon losses for the private investors.
Nice 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Nice are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Nice sustained solid returns over the last few months and may actually be approaching a breakup point.

Microsoft and Nice Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Microsoft and Nice

The main advantage of trading using opposite Microsoft and Nice positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Nice 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 Nice will offset losses from the drop in Nice's long position.
The idea behind Microsoft and Nice 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.
Check out your portfolio center.
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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