Correlation Between Apple and Bayerische Motoren
Can any of the company-specific risk be diversified away by investing in both Apple 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 Apple and Bayerische Motoren into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apple Inc and Bayerische Motoren Werke, you can compare the effects of market volatilities on Apple 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 Apple with a short position of Bayerische Motoren. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apple and Bayerische Motoren.
Diversification Opportunities for Apple and Bayerische Motoren
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Apple and Bayerische is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Apple Inc 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 Apple 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 Apple Inc 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 Apple i.e., Apple and Bayerische Motoren go up and down completely randomly.
Pair Corralation between Apple and Bayerische Motoren
Assuming the 90 days trading horizon Apple Inc is expected to generate 0.72 times more return on investment than Bayerische Motoren. However, Apple Inc is 1.4 times less risky than Bayerische Motoren. It trades about 0.11 of its potential returns per unit of risk. Bayerische Motoren Werke is currently generating about -0.1 per unit of risk. If you would invest 20,365 in Apple Inc on September 3, 2024 and sell it today you would earn a total of 2,085 from holding Apple Inc or generate 10.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Apple Inc vs. Bayerische Motoren Werke
Performance |
Timeline |
Apple Inc |
Bayerische Motoren Werke |
Apple and Bayerische Motoren Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Apple and Bayerische Motoren
The main advantage of trading using opposite Apple and Bayerische Motoren positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apple 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.Apple vs. Perseus Mining Limited | Apple vs. Citic Telecom International | Apple vs. Consolidated Communications Holdings | Apple vs. Entravision Communications |
Bayerische Motoren vs. Apple Inc | Bayerische Motoren vs. Apple Inc | Bayerische Motoren vs. Apple Inc | Bayerische Motoren vs. Apple Inc |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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