Correlation Between Microsoft and ISS AS

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

Diversification Opportunities for Microsoft and ISS AS

-0.52
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Microsoft and ISS is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and ISS AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ISS AS 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 ISS AS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ISS AS has no effect on the direction of Microsoft i.e., Microsoft and ISS AS go up and down completely randomly.

Pair Corralation between Microsoft and ISS AS

Assuming the 90 days trading horizon Microsoft is expected to generate 1.01 times more return on investment than ISS AS. However, Microsoft is 1.01 times more volatile than ISS AS. It trades about 0.03 of its potential returns per unit of risk. ISS AS is currently generating about 0.02 per unit of risk. If you would invest  40,768  in Microsoft on September 21, 2024 and sell it today you would earn a total of  1,737  from holding Microsoft or generate 4.26% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy99.08%
ValuesDaily Returns

Microsoft  vs.  ISS AS

 Performance 
       Timeline  
Microsoft 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
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 rather uncertain technical and fundamental indicators, Microsoft may actually be approaching a critical reversion point that can send shares even higher in January 2025.
ISS AS 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days ISS AS has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, ISS AS is not utilizing all of its potentials. The newest stock price tumult, may contribute to shorter-term losses for the shareholders.

Microsoft and ISS AS Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Microsoft and ISS AS

The main advantage of trading using opposite Microsoft and ISS AS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, ISS AS 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 ISS AS will offset losses from the drop in ISS AS's long position.
The idea behind Microsoft and ISS AS 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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