Correlation Between G Willi and Chefs Warehouse
Can any of the company-specific risk be diversified away by investing in both G Willi and Chefs Warehouse 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 G Willi and Chefs Warehouse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between G Willi Food International and The Chefs Warehouse, you can compare the effects of market volatilities on G Willi and Chefs Warehouse 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 G Willi with a short position of Chefs Warehouse. Check out your portfolio center. Please also check ongoing floating volatility patterns of G Willi and Chefs Warehouse.
Diversification Opportunities for G Willi and Chefs Warehouse
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between WILC and Chefs is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding G Willi Food International and The Chefs Warehouse in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chefs Warehouse and G Willi 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 G Willi Food International are associated (or correlated) with Chefs Warehouse. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chefs Warehouse has no effect on the direction of G Willi i.e., G Willi and Chefs Warehouse go up and down completely randomly.
Pair Corralation between G Willi and Chefs Warehouse
Given the investment horizon of 90 days G Willi Food International is expected to generate 1.98 times more return on investment than Chefs Warehouse. However, G Willi is 1.98 times more volatile than The Chefs Warehouse. It trades about 0.19 of its potential returns per unit of risk. The Chefs Warehouse is currently generating about 0.21 per unit of risk. If you would invest 1,191 in G Willi Food International on August 24, 2024 and sell it today you would earn a total of 209.00 from holding G Willi Food International or generate 17.55% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 95.65% |
| Values | Daily Returns |
G Willi Food International vs. The Chefs Warehouse
Performance |
| Timeline |
| G Willi Food |
| Chefs Warehouse |
G Willi and Chefs Warehouse Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with G Willi and Chefs Warehouse
The main advantage of trading using opposite G Willi and Chefs Warehouse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if G Willi position performs unexpectedly, Chefs Warehouse 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 Chefs Warehouse will offset losses from the drop in Chefs Warehouse's long position.| G Willi vs. Innovative Food Hldg | G Willi vs. Calavo Growers | G Willi vs. The Chefs Warehouse | G Willi vs. AMCON Distributing |
| Chefs Warehouse vs. US Foods Holding | Chefs Warehouse vs. Sysco | Chefs Warehouse vs. SpartanNash Co | Chefs Warehouse vs. Calavo Growers |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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