Correlation Between Goodfood Market and North American
Can any of the company-specific risk be diversified away by investing in both Goodfood Market and North American 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 Goodfood Market and North American into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goodfood Market Corp and North American Construction, you can compare the effects of market volatilities on Goodfood Market and North American 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 Goodfood Market with a short position of North American. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goodfood Market and North American.
Diversification Opportunities for Goodfood Market and North American
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Goodfood and North is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Goodfood Market Corp and North American Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on North American Const and Goodfood Market 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 Goodfood Market Corp are associated (or correlated) with North American. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of North American Const has no effect on the direction of Goodfood Market i.e., Goodfood Market and North American go up and down completely randomly.
Pair Corralation between Goodfood Market and North American
Assuming the 90 days trading horizon Goodfood Market Corp is expected to generate 3.95 times more return on investment than North American. However, Goodfood Market is 3.95 times more volatile than North American Construction. It trades about 0.32 of its potential returns per unit of risk. North American Construction is currently generating about 0.16 per unit of risk. If you would invest 30.00 in Goodfood Market Corp on September 1, 2024 and sell it today you would earn a total of 15.00 from holding Goodfood Market Corp or generate 50.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Goodfood Market Corp vs. North American Construction
Performance |
| Timeline |
| Goodfood Market Corp |
| North American Const |
Goodfood Market and North American Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Goodfood Market and North American
The main advantage of trading using opposite Goodfood Market and North American positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goodfood Market position performs unexpectedly, North American 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 North American will offset losses from the drop in North American's long position.| Goodfood Market vs. WELL Health Technologies | Goodfood Market vs. Lightspeed Commerce | Goodfood Market vs. iShares Canadian HYBrid | Goodfood Market vs. Altagas Cum Red |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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