Correlation Between VINCI and AGVC

Can any of the company-specific risk be diversified away by investing in both VINCI and AGVC 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 AGVC into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between VINCI and AGVC, you can compare the effects of market volatilities on VINCI and AGVC 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 AGVC. Check out your portfolio center. Please also check ongoing floating volatility patterns of VINCI and AGVC.

Diversification Opportunities for VINCI and AGVC

0.29

Correlation Coefficient

VINCI  AGVC

Modest diversification

The 3 months correlation between VINCI and AGVC is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding VINCI and AGVC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AGVC 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 AGVC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AGVC has no effect on the direction of VINCI i.e., VINCI and AGVC go up and down completely randomly.

Pair Corralation between VINCI and AGVC

If you would invest  719.00  in VINCI on September 1, 2024 and sell it today you would earn a total of  489.00  from holding VINCI or generate 68.01% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	1.54%
Values	Daily Returns

VINCI  vs.  AGVC

VINCI

Risk-Adjusted Performance

20 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in VINCI are ranked lower than 20 (%) 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.

AGVC

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with VINCI and AGVC

The main advantage of trading using opposite VINCI and AGVC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VINCI position performs unexpectedly, AGVC 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 AGVC will offset losses from the drop in AGVC's long position.

The idea behind VINCI and AGVC 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.