Correlation Between Goldman Sachs and Bayerische Motoren
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Bayerische Motoren 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 Goldman Sachs and Bayerische Motoren into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Goldman Sachs and Bayerische Motoren Werke, you can compare the effects of market volatilities on Goldman Sachs and Bayerische Motoren 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 Goldman Sachs with a short position of Bayerische Motoren. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Bayerische Motoren.
Diversification Opportunities for Goldman Sachs and Bayerische Motoren
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Goldman and Bayerische is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding The Goldman Sachs and Bayerische Motoren Werke in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bayerische Motoren Werke and Goldman Sachs 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 The Goldman Sachs are associated (or correlated) with Bayerische Motoren. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bayerische Motoren Werke has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Bayerische Motoren go up and down completely randomly.
Pair Corralation between Goldman Sachs and Bayerische Motoren
Assuming the 90 days horizon The Goldman Sachs is expected to generate 1.38 times more return on investment than Bayerische Motoren. However, Goldman Sachs is 1.38 times more volatile than Bayerische Motoren Werke. It trades about 0.16 of its potential returns per unit of risk. Bayerische Motoren Werke is currently generating about -0.01 per unit of risk. If you would invest 565,603 in The Goldman Sachs on September 14, 2024 and sell it today you would earn a total of 623,293 from holding The Goldman Sachs or generate 110.2% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
The Goldman Sachs vs. Bayerische Motoren Werke
Performance |
| Timeline |
| Goldman Sachs |
| Bayerische Motoren Werke |
Goldman Sachs and Bayerische Motoren Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Goldman Sachs and Bayerische Motoren
The main advantage of trading using opposite Goldman Sachs and Bayerische Motoren positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Bayerische Motoren 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 Bayerische Motoren will offset losses from the drop in Bayerische Motoren's long position.| Goldman Sachs vs. New Oriental Education | Goldman Sachs vs. Ameriprise Financial | Goldman Sachs vs. FibraHotel | Goldman Sachs vs. Grupo Hotelero Santa |
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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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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