Correlation Between Krispy Kreme and Weis Markets
Can any of the company-specific risk be diversified away by investing in both Krispy Kreme and Weis Markets 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 Krispy Kreme and Weis Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Krispy Kreme and Weis Markets, you can compare the effects of market volatilities on Krispy Kreme and Weis Markets 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 Krispy Kreme with a short position of Weis Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Krispy Kreme and Weis Markets.
Diversification Opportunities for Krispy Kreme and Weis Markets
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Krispy and Weis is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Krispy Kreme and Weis Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Weis Markets and Krispy Kreme 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 Krispy Kreme are associated (or correlated) with Weis Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Weis Markets has no effect on the direction of Krispy Kreme i.e., Krispy Kreme and Weis Markets go up and down completely randomly.
Pair Corralation between Krispy Kreme and Weis Markets
Given the investment horizon of 90 days Krispy Kreme is expected to under-perform the Weis Markets. But the stock apears to be less risky and, when comparing its historical volatility, Krispy Kreme is 1.18 times less risky than Weis Markets. The stock trades about -0.12 of its potential returns per unit of risk. The Weis Markets is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 6,403 in Weis Markets on August 29, 2024 and sell it today you would earn a total of 898.00 from holding Weis Markets or generate 14.02% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Krispy Kreme vs. Weis Markets
Performance |
| Timeline |
| Krispy Kreme |
| Weis Markets |
Krispy Kreme and Weis Markets Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Krispy Kreme and Weis Markets
The main advantage of trading using opposite Krispy Kreme and Weis Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Krispy Kreme position performs unexpectedly, Weis Markets 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 Weis Markets will offset losses from the drop in Weis Markets' long position.| Krispy Kreme vs. Sendas Distribuidora SA | Krispy Kreme vs. Natural Grocers by | Krispy Kreme vs. Sprouts Farmers Market | Krispy Kreme vs. Albertsons Companies |
| Weis Markets vs. Innovative Food Hldg | Weis Markets vs. Calavo Growers | Weis Markets vs. The Chefs Warehouse | Weis Markets vs. AMCON Distributing |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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