Correlation Between MAHLE Metal and Credit Acceptance
Can any of the company-specific risk be diversified away by investing in both MAHLE Metal and Credit Acceptance 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 MAHLE Metal and Credit Acceptance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MAHLE Metal Leve and Credit Acceptance, you can compare the effects of market volatilities on MAHLE Metal and Credit Acceptance 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 MAHLE Metal with a short position of Credit Acceptance. Check out your portfolio center. Please also check ongoing floating volatility patterns of MAHLE Metal and Credit Acceptance.
Diversification Opportunities for MAHLE Metal and Credit Acceptance
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between MAHLE and Credit is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding MAHLE Metal Leve and Credit Acceptance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Credit Acceptance and MAHLE Metal 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 MAHLE Metal Leve are associated (or correlated) with Credit Acceptance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Credit Acceptance has no effect on the direction of MAHLE Metal i.e., MAHLE Metal and Credit Acceptance go up and down completely randomly.
Pair Corralation between MAHLE Metal and Credit Acceptance
Assuming the 90 days trading horizon MAHLE Metal Leve is expected to under-perform the Credit Acceptance. In addition to that, MAHLE Metal is 3.05 times more volatile than Credit Acceptance. It trades about -0.02 of its total potential returns per unit of risk. Credit Acceptance is currently generating about 0.08 per unit of volatility. If you would invest 26,300 in Credit Acceptance on December 2, 2024 and sell it today you would earn a total of 6,200 from holding Credit Acceptance or generate 23.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MAHLE Metal Leve vs. Credit Acceptance
Performance |
Timeline |
MAHLE Metal Leve |
Credit Acceptance |
MAHLE Metal and Credit Acceptance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MAHLE Metal and Credit Acceptance
The main advantage of trading using opposite MAHLE Metal and Credit Acceptance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MAHLE Metal position performs unexpectedly, Credit Acceptance 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 Credit Acceptance will offset losses from the drop in Credit Acceptance's long position.MAHLE Metal vs. Tupy SA | MAHLE Metal vs. Engie Brasil Energia | MAHLE Metal vs. Grendene SA | MAHLE Metal vs. M Dias Branco |
Credit Acceptance vs. Medical Properties Trust, | Credit Acceptance vs. MAHLE Metal Leve | Credit Acceptance vs. Zoom Video Communications | Credit Acceptance vs. United Rentals |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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