Correlation Between SBF 120 and Vergnet

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both SBF 120 and Vergnet 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 Vergnet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SBF 120 and Vergnet, you can compare the effects of market volatilities on SBF 120 and Vergnet 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 Vergnet. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBF 120 and Vergnet.

Diversification Opportunities for SBF 120 and Vergnet

0.49
  Correlation Coefficient

Very weak diversification

The 3 months correlation between SBF and Vergnet is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding SBF 120 and Vergnet in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vergnet 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 Vergnet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vergnet has no effect on the direction of SBF 120 i.e., SBF 120 and Vergnet go up and down completely randomly.
    Optimize

Pair Corralation between SBF 120 and Vergnet

Assuming the 90 days trading horizon SBF 120 is expected to generate 0.04 times more return on investment than Vergnet. However, SBF 120 is 25.07 times less risky than Vergnet. It trades about 0.02 of its potential returns per unit of risk. Vergnet is currently generating about -0.09 per unit of risk. If you would invest  513,914  in SBF 120 on August 24, 2024 and sell it today you would earn a total of  36,245  from holding SBF 120 or generate 7.05% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy99.8%
ValuesDaily Returns

SBF 120  vs.  Vergnet

 Performance 
       Timeline  

SBF 120 and Vergnet Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with SBF 120 and Vergnet

The main advantage of trading using opposite SBF 120 and Vergnet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBF 120 position performs unexpectedly, Vergnet 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 Vergnet will offset losses from the drop in Vergnet's long position.
The idea behind SBF 120 and Vergnet 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.

Other Complementary Tools

Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
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
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges