Correlation Between MTY Food and Falcon Energy
Can any of the company-specific risk be diversified away by investing in both MTY Food and Falcon Energy 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 MTY Food and Falcon Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MTY Food Group and Falcon Energy Materials, you can compare the effects of market volatilities on MTY Food and Falcon Energy 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 MTY Food with a short position of Falcon Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of MTY Food and Falcon Energy.
Diversification Opportunities for MTY Food and Falcon Energy
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between MTY and Falcon is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding MTY Food Group and Falcon Energy Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Falcon Energy Materials and MTY 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 MTY Food Group are associated (or correlated) with Falcon Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Falcon Energy Materials has no effect on the direction of MTY Food i.e., MTY Food and Falcon Energy go up and down completely randomly.
Pair Corralation between MTY Food and Falcon Energy
Assuming the 90 days trading horizon MTY Food is expected to generate 3.69 times less return on investment than Falcon Energy. But when comparing it to its historical volatility, MTY Food Group is 2.72 times less risky than Falcon Energy. It trades about 0.1 of its potential returns per unit of risk. Falcon Energy Materials is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 65.00 in Falcon Energy Materials on August 28, 2024 and sell it today you would earn a total of 24.00 from holding Falcon Energy Materials or generate 36.92% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
MTY Food Group vs. Falcon Energy Materials
Performance |
| Timeline |
| MTY Food Group |
| Falcon Energy Materials |
MTY Food and Falcon Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with MTY Food and Falcon Energy
The main advantage of trading using opposite MTY Food and Falcon Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MTY Food position performs unexpectedly, Falcon Energy 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 Falcon Energy will offset losses from the drop in Falcon Energy's long position.| MTY Food vs. Apple Inc CDR | MTY Food vs. Berkshire Hathaway CDR | MTY Food vs. Microsoft Corp CDR | MTY Food vs. Alphabet Inc CDR |
| Falcon Energy vs. NeXGold Mining Corp | Falcon Energy vs. US Financial 15 | Falcon Energy vs. Metalero Mining Corp | Falcon Energy vs. CI Financial Corp |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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