Correlation Between VINCI and XMX

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

Diversification Opportunities for VINCI and XMX

0.71
  Correlation Coefficient

Poor diversification

The 3 months correlation between VINCI and XMX is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding VINCI and XMX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XMX and VINCI 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 VINCI are associated (or correlated) with XMX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XMX has no effect on the direction of VINCI i.e., VINCI and XMX go up and down completely randomly.

Pair Corralation between VINCI and XMX

Assuming the 90 days trading horizon VINCI is expected to generate 0.9 times more return on investment than XMX. However, VINCI is 1.11 times less risky than XMX. It trades about 0.38 of its potential returns per unit of risk. XMX is currently generating about 0.11 per unit of risk. If you would invest  860.00  in VINCI on September 4, 2024 and sell it today you would earn a total of  337.00  from holding VINCI or generate 39.19% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

VINCI  vs.  XMX

 Performance 
       Timeline  
VINCI 

Risk-Adjusted Performance

21 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in VINCI are ranked lower than 21 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, VINCI exhibited solid returns over the last few months and may actually be approaching a breakup point.
XMX 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in XMX are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, XMX exhibited solid returns over the last few months and may actually be approaching a breakup point.

VINCI and XMX Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with VINCI and XMX

The main advantage of trading using opposite VINCI and XMX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VINCI position performs unexpectedly, XMX 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 XMX will offset losses from the drop in XMX's long position.
The idea behind VINCI and XMX 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.

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