Correlation Between Volkswagen and ARDAGH METAL
Can any of the company-specific risk be diversified away by investing in both Volkswagen and ARDAGH METAL 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 Volkswagen and ARDAGH METAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Volkswagen AG and ARDAGH METAL PACDL 0001, you can compare the effects of market volatilities on Volkswagen and ARDAGH METAL 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 Volkswagen with a short position of ARDAGH METAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Volkswagen and ARDAGH METAL.
Diversification Opportunities for Volkswagen and ARDAGH METAL
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Volkswagen and ARDAGH is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Volkswagen AG and ARDAGH METAL PACDL 0001 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ARDAGH METAL PACDL and Volkswagen 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 Volkswagen AG are associated (or correlated) with ARDAGH METAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ARDAGH METAL PACDL has no effect on the direction of Volkswagen i.e., Volkswagen and ARDAGH METAL go up and down completely randomly.
Pair Corralation between Volkswagen and ARDAGH METAL
Assuming the 90 days trading horizon Volkswagen AG is expected to under-perform the ARDAGH METAL. But the stock apears to be less risky and, when comparing its historical volatility, Volkswagen AG is 2.29 times less risky than ARDAGH METAL. The stock trades about -0.32 of its potential returns per unit of risk. The ARDAGH METAL PACDL 0001 is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 326.00 in ARDAGH METAL PACDL 0001 on September 4, 2024 and sell it today you would earn a total of 14.00 from holding ARDAGH METAL PACDL 0001 or generate 4.29% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Volkswagen AG vs. ARDAGH METAL PACDL 0001
Performance |
| Timeline |
| Volkswagen AG |
| ARDAGH METAL PACDL |
Volkswagen and ARDAGH METAL Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Volkswagen and ARDAGH METAL
The main advantage of trading using opposite Volkswagen and ARDAGH METAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Volkswagen position performs unexpectedly, ARDAGH METAL 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 ARDAGH METAL will offset losses from the drop in ARDAGH METAL's long position.| Volkswagen vs. Tesla Inc | Volkswagen vs. Toyota Motor | Volkswagen vs. BYD Company Limited | Volkswagen vs. Superior Plus Corp |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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