Correlation Between SBF 120 and Multi Units

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Can any of the company-specific risk be diversified away by investing in both SBF 120 and Multi Units 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 SBF 120 and Multi Units into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SBF 120 and Multi Units Luxembourg, you can compare the effects of market volatilities on SBF 120 and Multi Units 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 SBF 120 with a short position of Multi Units. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBF 120 and Multi Units.

Diversification Opportunities for SBF 120 and Multi Units

-0.72
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between SBF and Multi is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding SBF 120 and Multi Units Luxembourg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multi Units Luxembourg and SBF 120 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 SBF 120 are associated (or correlated) with Multi Units. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multi Units Luxembourg has no effect on the direction of SBF 120 i.e., SBF 120 and Multi Units go up and down completely randomly.
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Pair Corralation between SBF 120 and Multi Units

Assuming the 90 days trading horizon SBF 120 is expected to under-perform the Multi Units. In addition to that, SBF 120 is 1.17 times more volatile than Multi Units Luxembourg. It trades about 0.0 of its total potential returns per unit of risk. Multi Units Luxembourg is currently generating about 0.29 per unit of volatility. If you would invest  5,151  in Multi Units Luxembourg on September 14, 2024 and sell it today you would earn a total of  770.00  from holding Multi Units Luxembourg or generate 14.95% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

SBF 120  vs.  Multi Units Luxembourg

 Performance 
       Timeline  

SBF 120 and Multi Units Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with SBF 120 and Multi Units

The main advantage of trading using opposite SBF 120 and Multi Units positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBF 120 position performs unexpectedly, Multi Units 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 Multi Units will offset losses from the drop in Multi Units' long position.
The idea behind SBF 120 and Multi Units Luxembourg 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.

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