Correlation Between Group 1 and Victorias Secret
Can any of the company-specific risk be diversified away by investing in both Group 1 and Victorias Secret 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 Group 1 and Victorias Secret into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Group 1 Automotive and Victorias Secret Co, you can compare the effects of market volatilities on Group 1 and Victorias Secret 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 Group 1 with a short position of Victorias Secret. Check out your portfolio center. Please also check ongoing floating volatility patterns of Group 1 and Victorias Secret.
Diversification Opportunities for Group 1 and Victorias Secret
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Group and Victorias is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Group 1 Automotive and Victorias Secret Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Victorias Secret and Group 1 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 Group 1 Automotive are associated (or correlated) with Victorias Secret. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Victorias Secret has no effect on the direction of Group 1 i.e., Group 1 and Victorias Secret go up and down completely randomly.
Pair Corralation between Group 1 and Victorias Secret
Considering the 90-day investment horizon Group 1 Automotive is expected to generate 0.33 times more return on investment than Victorias Secret. However, Group 1 Automotive is 3.06 times less risky than Victorias Secret. It trades about -0.05 of its potential returns per unit of risk. Victorias Secret Co is currently generating about -0.28 per unit of risk. If you would invest 42,469 in Group 1 Automotive on October 10, 2024 and sell it today you would lose (509.00) from holding Group 1 Automotive or give up 1.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Group 1 Automotive vs. Victorias Secret Co
Performance |
Timeline |
Group 1 Automotive |
Victorias Secret |
Group 1 and Victorias Secret Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Group 1 and Victorias Secret
The main advantage of trading using opposite Group 1 and Victorias Secret positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Group 1 position performs unexpectedly, Victorias Secret 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 Victorias Secret will offset losses from the drop in Victorias Secret's long position.Group 1 vs. Penske Automotive Group | Group 1 vs. Lithia Motors | Group 1 vs. AutoNation | Group 1 vs. Asbury Automotive Group |
Victorias Secret vs. Ross Stores | Victorias Secret vs. Childrens Place | Victorias Secret vs. Buckle Inc | Victorias Secret vs. Guess 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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