Correlation Between Bayerische Motoren and Valero Energy
Can any of the company-specific risk be diversified away by investing in both Bayerische Motoren and Valero Energy 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 Bayerische Motoren and Valero Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bayerische Motoren Werke and Valero Energy, you can compare the effects of market volatilities on Bayerische Motoren and Valero Energy 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 Bayerische Motoren with a short position of Valero Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bayerische Motoren and Valero Energy.
Diversification Opportunities for Bayerische Motoren and Valero Energy
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bayerische and Valero is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Bayerische Motoren Werke and Valero Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Valero Energy and Bayerische Motoren 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 Bayerische Motoren Werke are associated (or correlated) with Valero Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Valero Energy has no effect on the direction of Bayerische Motoren i.e., Bayerische Motoren and Valero Energy go up and down completely randomly.
Pair Corralation between Bayerische Motoren and Valero Energy
Assuming the 90 days trading horizon Bayerische Motoren Werke is expected to generate 1.01 times more return on investment than Valero Energy. However, Bayerische Motoren is 1.01 times more volatile than Valero Energy. It trades about 0.08 of its potential returns per unit of risk. Valero Energy is currently generating about 0.06 per unit of risk. If you would invest 149,698 in Bayerische Motoren Werke on September 17, 2024 and sell it today you would earn a total of 11,724 from holding Bayerische Motoren Werke or generate 7.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bayerische Motoren Werke vs. Valero Energy
Performance |
Timeline |
Bayerische Motoren Werke |
Valero Energy |
Bayerische Motoren and Valero Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bayerische Motoren and Valero Energy
The main advantage of trading using opposite Bayerische Motoren and Valero Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bayerische Motoren position performs unexpectedly, Valero Energy 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 Valero Energy will offset losses from the drop in Valero Energy's long position.Bayerische Motoren vs. Tesla Inc | Bayerische Motoren vs. Ford Motor | Bayerische Motoren vs. iShares Global Timber | Bayerische Motoren vs. Vanguard World |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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