Correlation Between WAB and AGVC
Can any of the company-specific risk be diversified away by investing in both WAB 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 WAB and AGVC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WAB and AGVC, you can compare the effects of market volatilities on WAB 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 WAB with a short position of AGVC. Check out your portfolio center. Please also check ongoing floating volatility patterns of WAB and AGVC.
Diversification Opportunities for WAB and AGVC
Poor diversification
The 3 months correlation between WAB and AGVC is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding WAB and AGVC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AGVC and WAB 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 WAB 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 WAB i.e., WAB and AGVC go up and down completely randomly.
Pair Corralation between WAB and AGVC
If you would invest 0.23 in AGVC on September 1, 2024 and sell it today you would earn a total of 0.00 from holding AGVC or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
WAB vs. AGVC
Performance |
Timeline |
WAB |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
AGVC |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
WAB and AGVC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WAB and AGVC
The main advantage of trading using opposite WAB and AGVC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WAB 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 WAB 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Other Complementary Tools
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |