Correlation Between Wilhelmina and Premium Catering
Can any of the company-specific risk be diversified away by investing in both Wilhelmina and Premium Catering 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 Wilhelmina and Premium Catering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wilhelmina and Premium Catering Limited, you can compare the effects of market volatilities on Wilhelmina and Premium Catering 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 Wilhelmina with a short position of Premium Catering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wilhelmina and Premium Catering.
Diversification Opportunities for Wilhelmina and Premium Catering
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Wilhelmina and Premium is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Wilhelmina and Premium Catering Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Premium Catering and Wilhelmina 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 Wilhelmina are associated (or correlated) with Premium Catering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Premium Catering has no effect on the direction of Wilhelmina i.e., Wilhelmina and Premium Catering go up and down completely randomly.
Pair Corralation between Wilhelmina and Premium Catering
Given the investment horizon of 90 days Wilhelmina is expected to generate 0.36 times more return on investment than Premium Catering. However, Wilhelmina is 2.78 times less risky than Premium Catering. It trades about -0.07 of its potential returns per unit of risk. Premium Catering Limited is currently generating about -0.12 per unit of risk. If you would invest 549.00 in Wilhelmina on September 3, 2024 and sell it today you would lose (152.00) from holding Wilhelmina or give up 27.69% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 75.0% |
| Values | Daily Returns |
Wilhelmina vs. Premium Catering Limited
Performance |
| Timeline |
| Wilhelmina |
| Premium Catering |
Wilhelmina and Premium Catering Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Wilhelmina and Premium Catering
The main advantage of trading using opposite Wilhelmina and Premium Catering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wilhelmina position performs unexpectedly, Premium Catering 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 Premium Catering will offset losses from the drop in Premium Catering's long position.| Wilhelmina vs. Performant Financial | Wilhelmina vs. Network 1 Technologies | Wilhelmina vs. Rentokil Initial PLC | Wilhelmina vs. Mader Group Limited |
| Premium Catering vs. LegalZoom | Premium Catering vs. Target Hospitality Corp | Premium Catering vs. Wilhelmina | Premium Catering vs. AZZ Incorporated |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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