Correlation Between Credit Acceptance and GP Investments
Can any of the company-specific risk be diversified away by investing in both Credit Acceptance and GP Investments 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 Credit Acceptance and GP Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Credit Acceptance and GP Investments, you can compare the effects of market volatilities on Credit Acceptance and GP Investments 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 Credit Acceptance with a short position of GP Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Credit Acceptance and GP Investments.
Diversification Opportunities for Credit Acceptance and GP Investments
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Credit and GPIV33 is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Credit Acceptance and GP Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GP Investments and Credit Acceptance 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 Credit Acceptance are associated (or correlated) with GP Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GP Investments has no effect on the direction of Credit Acceptance i.e., Credit Acceptance and GP Investments go up and down completely randomly.
Pair Corralation between Credit Acceptance and GP Investments
Assuming the 90 days trading horizon Credit Acceptance is expected to generate 1.68 times less return on investment than GP Investments. But when comparing it to its historical volatility, Credit Acceptance is 1.51 times less risky than GP Investments. It trades about 0.03 of its potential returns per unit of risk. GP Investments is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 275.00 in GP Investments on September 2, 2024 and sell it today you would earn a total of 111.00 from holding GP Investments or generate 40.36% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Credit Acceptance vs. GP Investments
Performance |
| Timeline |
| Credit Acceptance |
| GP Investments |
Credit Acceptance and GP Investments Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Credit Acceptance and GP Investments
The main advantage of trading using opposite Credit Acceptance and GP Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Credit Acceptance position performs unexpectedly, GP Investments 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 GP Investments will offset losses from the drop in GP Investments' long position.| Credit Acceptance vs. Prudential Financial | Credit Acceptance vs. Deutsche Bank Aktiengesellschaft | Credit Acceptance vs. Hospital Mater Dei | Credit Acceptance vs. salesforce 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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