Correlation Between MTY Food and Urban Outfitters
Can any of the company-specific risk be diversified away by investing in both MTY Food and Urban Outfitters 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 Urban Outfitters 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 Urban Outfitters, you can compare the effects of market volatilities on MTY Food and Urban Outfitters 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 Urban Outfitters. Check out your portfolio center. Please also check ongoing floating volatility patterns of MTY Food and Urban Outfitters.
Diversification Opportunities for MTY Food and Urban Outfitters
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between MTY and Urban is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding MTY Food Group and Urban Outfitters in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Urban Outfitters 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 Urban Outfitters. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Urban Outfitters has no effect on the direction of MTY Food i.e., MTY Food and Urban Outfitters go up and down completely randomly.
Pair Corralation between MTY Food and Urban Outfitters
Assuming the 90 days horizon MTY Food Group is expected to under-perform the Urban Outfitters. But the stock apears to be less risky and, when comparing its historical volatility, MTY Food Group is 1.32 times less risky than Urban Outfitters. The stock trades about -0.07 of its potential returns per unit of risk. The Urban Outfitters is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 5,100 in Urban Outfitters on December 19, 2024 and sell it today you would lose (500.00) from holding Urban Outfitters or give up 9.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MTY Food Group vs. Urban Outfitters
Performance |
Timeline |
MTY Food Group |
Urban Outfitters |
MTY Food and Urban Outfitters Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MTY Food and Urban Outfitters
The main advantage of trading using opposite MTY Food and Urban Outfitters positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MTY Food position performs unexpectedly, Urban Outfitters 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 Urban Outfitters will offset losses from the drop in Urban Outfitters' long position.MTY Food vs. AEON METALS LTD | MTY Food vs. Jacquet Metal Service | MTY Food vs. NORTHEAST UTILITIES | MTY Food vs. Yuexiu Transport Infrastructure |
Urban Outfitters vs. Retail Estates NV | Urban Outfitters vs. Burlington Stores | Urban Outfitters vs. Costco Wholesale Corp | Urban Outfitters vs. Monster Beverage 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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