Correlation Between InMode and MQGAU

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Can any of the company-specific risk be diversified away by investing in both InMode and MQGAU 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 InMode and MQGAU into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between InMode and MQGAU 5376057 23 SEP 27, you can compare the effects of market volatilities on InMode and MQGAU 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 InMode with a short position of MQGAU. Check out your portfolio center. Please also check ongoing floating volatility patterns of InMode and MQGAU.

Diversification Opportunities for InMode and MQGAU

-0.37
  Correlation Coefficient

Very good diversification

The 3 months correlation between InMode and MQGAU is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding InMode and MQGAU 5376057 23 SEP 27 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MQGAU 5376057 23 and InMode 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 InMode are associated (or correlated) with MQGAU. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MQGAU 5376057 23 has no effect on the direction of InMode i.e., InMode and MQGAU go up and down completely randomly.

Pair Corralation between InMode and MQGAU

If you would invest  1,667  in InMode on December 4, 2024 and sell it today you would earn a total of  215.00  from holding InMode or generate 12.9% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy9.52%
ValuesDaily Returns

InMode  vs.  MQGAU 5376057 23 SEP 27

 Performance 
       Timeline  
InMode 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days InMode has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound primary indicators, InMode is not utilizing all of its potentials. The current stock price tumult, may contribute to shorter-term losses for the shareholders.
MQGAU 5376057 23 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days MQGAU 5376057 23 SEP 27 has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, MQGAU is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

InMode and MQGAU Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with InMode and MQGAU

The main advantage of trading using opposite InMode and MQGAU positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if InMode position performs unexpectedly, MQGAU 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 MQGAU will offset losses from the drop in MQGAU's long position.
The idea behind InMode and MQGAU 5376057 23 SEP 27 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

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