Correlation Between Highland Global and Group 1
Can any of the company-specific risk be diversified away by investing in both Highland Global and Group 1 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 Highland Global and Group 1 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Highland Global Allocation and Group 1 Automotive, you can compare the effects of market volatilities on Highland Global and Group 1 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 Highland Global with a short position of Group 1. Check out your portfolio center. Please also check ongoing floating volatility patterns of Highland Global and Group 1.
Diversification Opportunities for Highland Global and Group 1
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Highland and Group is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Highland Global Allocation and Group 1 Automotive in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Group 1 Automotive and Highland Global 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 Highland Global Allocation are associated (or correlated) with Group 1. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Group 1 Automotive has no effect on the direction of Highland Global i.e., Highland Global and Group 1 go up and down completely randomly.
Pair Corralation between Highland Global and Group 1
Given the investment horizon of 90 days Highland Global Allocation is expected to generate 0.51 times more return on investment than Group 1. However, Highland Global Allocation is 1.97 times less risky than Group 1. It trades about 0.03 of its potential returns per unit of risk. Group 1 Automotive is currently generating about 0.01 per unit of risk. If you would invest 803.00 in Highland Global Allocation on May 4, 2025 and sell it today you would earn a total of 12.00 from holding Highland Global Allocation or generate 1.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Highland Global Allocation vs. Group 1 Automotive
Performance |
Timeline |
Highland Global Allo |
Group 1 Automotive |
Highland Global and Group 1 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Highland Global and Group 1
The main advantage of trading using opposite Highland Global and Group 1 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Highland Global position performs unexpectedly, Group 1 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 Group 1 will offset losses from the drop in Group 1's long position.Highland Global vs. Highland Opportunities And | Highland Global vs. Clough Global Allocation | Highland Global vs. Aberdeen Income Credit | Highland Global vs. Rivernorth Opportunities |
Group 1 vs. Penske Automotive Group | Group 1 vs. Lithia Motors | Group 1 vs. AutoNation | Group 1 vs. Asbury Automotive Group |
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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