Correlation Between Where Food and SNDL
Can any of the company-specific risk be diversified away by investing in both Where Food and SNDL 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 Where Food and SNDL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Where Food Comes and SNDL Inc, you can compare the effects of market volatilities on Where Food and SNDL 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 Where Food with a short position of SNDL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Where Food and SNDL.
Diversification Opportunities for Where Food and SNDL
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Where and SNDL is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Where Food Comes and SNDL Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SNDL Inc and Where Food 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 Where Food Comes are associated (or correlated) with SNDL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SNDL Inc has no effect on the direction of Where Food i.e., Where Food and SNDL go up and down completely randomly.
Pair Corralation between Where Food and SNDL
Given the investment horizon of 90 days Where Food Comes is expected to generate 1.08 times more return on investment than SNDL. However, Where Food is 1.08 times more volatile than SNDL Inc. It trades about 0.16 of its potential returns per unit of risk. SNDL Inc is currently generating about -0.15 per unit of risk. If you would invest 1,199 in Where Food Comes on September 28, 2024 and sell it today you would earn a total of 96.00 from holding Where Food Comes or generate 8.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Where Food Comes vs. SNDL Inc
Performance |
Timeline |
Where Food Comes |
SNDL Inc |
Where Food and SNDL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Where Food and SNDL
The main advantage of trading using opposite Where Food and SNDL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Where Food position performs unexpectedly, SNDL 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 SNDL will offset losses from the drop in SNDL's long position.Where Food vs. Dubber Limited | Where Food vs. Advanced Health Intelligence | Where Food vs. Danavation Technologies Corp | Where Food vs. BASE 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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
Other Complementary Tools
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |