Correlation Between IPC MEXICO and Gentera SAB

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

Diversification Opportunities for IPC MEXICO and Gentera SAB

-0.23
  Correlation Coefficient

Very good diversification

The 3 months correlation between IPC and Gentera is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding IPC MEXICO and Gentera SAB de in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gentera SAB de and IPC MEXICO 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 IPC MEXICO are associated (or correlated) with Gentera SAB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gentera SAB de has no effect on the direction of IPC MEXICO i.e., IPC MEXICO and Gentera SAB go up and down completely randomly.
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Pair Corralation between IPC MEXICO and Gentera SAB

Assuming the 90 days trading horizon IPC MEXICO is expected to under-perform the Gentera SAB. But the index apears to be less risky and, when comparing its historical volatility, IPC MEXICO is 2.28 times less risky than Gentera SAB. The index trades about -0.07 of its potential returns per unit of risk. The Gentera SAB de is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest  2,769  in Gentera SAB de on February 2, 2024 and sell it today you would lose (22.00) from holding Gentera SAB de or give up 0.79% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

IPC MEXICO  vs.  Gentera SAB de

 Performance 
       Timeline  

IPC MEXICO and Gentera SAB Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with IPC MEXICO and Gentera SAB

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

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