Correlation Between Microsoft and Genelux Common

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

Diversification Opportunities for Microsoft and Genelux Common

-0.53
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Microsoft and Genelux is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Genelux Common in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Genelux Common 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 Genelux Common. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Genelux Common has no effect on the direction of Microsoft i.e., Microsoft and Genelux Common go up and down completely randomly.

Pair Corralation between Microsoft and Genelux Common

Given the investment horizon of 90 days Microsoft is expected to generate 0.14 times more return on investment than Genelux Common. However, Microsoft is 6.97 times less risky than Genelux Common. It trades about -0.15 of its potential returns per unit of risk. Genelux Common is currently generating about -0.33 per unit of risk. If you would invest  42,286  in Microsoft on January 25, 2024 and sell it today you would lose (1,380) from holding Microsoft or give up 3.26% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Microsoft  vs.  Genelux Common

 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.
Genelux Common 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Genelux Common has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's essential indicators remain fairly strong which may send shares a bit higher in May 2024. The current disturbance may also be a sign of long term up-swing for the company investors.

Microsoft and Genelux Common Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Microsoft and Genelux Common

The main advantage of trading using opposite Microsoft and Genelux Common positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Genelux Common 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 Genelux Common will offset losses from the drop in Genelux Common's long position.
The idea behind Microsoft and Genelux Common 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

Other Complementary Tools

Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
Portfolio Anywhere
Track or share privately all of your investments from the convenience of any device
Money Managers
Screen money managers from public funds and ETFs managed around the world
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like