Correlation Between Microsoft and SM WIRTSCHAFTSBER

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Microsoft and SM WIRTSCHAFTSBER 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 SM WIRTSCHAFTSBER into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and SM WIRTSCHAFTSBER N, you can compare the effects of market volatilities on Microsoft and SM WIRTSCHAFTSBER 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 SM WIRTSCHAFTSBER. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and SM WIRTSCHAFTSBER.

Diversification Opportunities for Microsoft and SM WIRTSCHAFTSBER

-0.41
  Correlation Coefficient

Very good diversification

The 3 months correlation between Microsoft and SMWN is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and SM WIRTSCHAFTSBER N in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SM WIRTSCHAFTSBER 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 SM WIRTSCHAFTSBER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SM WIRTSCHAFTSBER has no effect on the direction of Microsoft i.e., Microsoft and SM WIRTSCHAFTSBER go up and down completely randomly.

Pair Corralation between Microsoft and SM WIRTSCHAFTSBER

Assuming the 90 days trading horizon Microsoft is expected to generate 1.16 times more return on investment than SM WIRTSCHAFTSBER. However, Microsoft is 1.16 times more volatile than SM WIRTSCHAFTSBER N. It trades about 0.33 of its potential returns per unit of risk. SM WIRTSCHAFTSBER N is currently generating about -0.4 per unit of risk. If you would invest  37,356  in Microsoft on September 4, 2024 and sell it today you would earn a total of  3,654  from holding Microsoft or generate 9.78% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy95.45%
ValuesDaily Returns

Microsoft  vs.  SM WIRTSCHAFTSBER N

 Performance 
       Timeline  
Microsoft 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile technical and fundamental indicators, Microsoft may actually be approaching a critical reversion point that can send shares even higher in January 2025.
SM WIRTSCHAFTSBER 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days SM WIRTSCHAFTSBER N 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 January 2025. The latest tumult may also be a sign of longer-term up-swing for the firm shareholders.

Microsoft and SM WIRTSCHAFTSBER Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Microsoft and SM WIRTSCHAFTSBER

The main advantage of trading using opposite Microsoft and SM WIRTSCHAFTSBER positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, SM WIRTSCHAFTSBER 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 SM WIRTSCHAFTSBER will offset losses from the drop in SM WIRTSCHAFTSBER's long position.
The idea behind Microsoft and SM WIRTSCHAFTSBER N 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 Transaction History module to view history of all your transactions and understand their impact on performance.

Other Complementary Tools

Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance