Correlation Between Microsoft and UBS

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

Diversification Opportunities for Microsoft and UBS

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between Microsoft and UBS is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and UBS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UBS 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 UBS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UBS has no effect on the direction of Microsoft i.e., Microsoft and UBS go up and down completely randomly.

Pair Corralation between Microsoft and UBS

If you would invest  40,554  in Microsoft on September 1, 2024 and sell it today you would earn a total of  1,792  from holding Microsoft or generate 4.42% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

Microsoft  vs.  UBS

 Performance 
       Timeline  
Microsoft 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 3 (%) 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.
UBS 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days UBS has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong technical indicators, UBS is not utilizing all of its potentials. The recent stock price confusion, may contribute to short-horizon losses for the traders.

Microsoft and UBS Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Microsoft and UBS

The main advantage of trading using opposite Microsoft and UBS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, UBS 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 UBS will offset losses from the drop in UBS's long position.
The idea behind Microsoft and UBS 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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.

Other Complementary Tools

Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Transaction History
View history of all your transactions and understand their impact on performance
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated