Correlation Between Dairy Farm and Algonquin Power
Can any of the company-specific risk be diversified away by investing in both Dairy Farm and Algonquin Power 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 Dairy Farm and Algonquin Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dairy Farm International and Algonquin Power Utilities, you can compare the effects of market volatilities on Dairy Farm and Algonquin Power 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 Dairy Farm with a short position of Algonquin Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dairy Farm and Algonquin Power.
Diversification Opportunities for Dairy Farm and Algonquin Power
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dairy and Algonquin is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Dairy Farm International and Algonquin Power Utilities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Algonquin Power Utilities and Dairy Farm 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 Dairy Farm International are associated (or correlated) with Algonquin Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Algonquin Power Utilities has no effect on the direction of Dairy Farm i.e., Dairy Farm and Algonquin Power go up and down completely randomly.
Pair Corralation between Dairy Farm and Algonquin Power
Assuming the 90 days trading horizon Dairy Farm International is expected to under-perform the Algonquin Power. But the stock apears to be less risky and, when comparing its historical volatility, Dairy Farm International is 1.03 times less risky than Algonquin Power. The stock trades about -0.1 of its potential returns per unit of risk. The Algonquin Power Utilities is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 445.00 in Algonquin Power Utilities on October 8, 2024 and sell it today you would lose (8.00) from holding Algonquin Power Utilities or give up 1.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dairy Farm International vs. Algonquin Power Utilities
Performance |
Timeline |
Dairy Farm International |
Algonquin Power Utilities |
Dairy Farm and Algonquin Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dairy Farm and Algonquin Power
The main advantage of trading using opposite Dairy Farm and Algonquin Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dairy Farm position performs unexpectedly, Algonquin Power 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 Algonquin Power will offset losses from the drop in Algonquin Power's long position.Dairy Farm vs. ULTRA CLEAN HLDGS | Dairy Farm vs. THAI BEVERAGE | Dairy Farm vs. UNITED RENTALS | Dairy Farm vs. ALERION CLEANPOWER |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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