Correlation Between ARC Resources and Algonquin Power
Can any of the company-specific risk be diversified away by investing in both ARC Resources 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 ARC Resources and Algonquin Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ARC Resources and Algonquin Power Utilities, you can compare the effects of market volatilities on ARC Resources 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 ARC Resources with a short position of Algonquin Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of ARC Resources and Algonquin Power.
Diversification Opportunities for ARC Resources and Algonquin Power
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between ARC and Algonquin is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding ARC Resources 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 ARC Resources 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 ARC Resources 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 ARC Resources i.e., ARC Resources and Algonquin Power go up and down completely randomly.
Pair Corralation between ARC Resources and Algonquin Power
Assuming the 90 days trading horizon ARC Resources is expected to generate 3.18 times more return on investment than Algonquin Power. However, ARC Resources is 3.18 times more volatile than Algonquin Power Utilities. It trades about 0.06 of its potential returns per unit of risk. Algonquin Power Utilities is currently generating about 0.08 per unit of risk. If you would invest 2,258 in ARC Resources on September 22, 2024 and sell it today you would earn a total of 173.00 from holding ARC Resources or generate 7.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ARC Resources vs. Algonquin Power Utilities
Performance |
Timeline |
ARC Resources |
Algonquin Power Utilities |
ARC Resources and Algonquin Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ARC Resources and Algonquin Power
The main advantage of trading using opposite ARC Resources and Algonquin Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ARC Resources 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.ARC Resources vs. Tourmaline Oil Corp | ARC Resources vs. Whitecap Resources | ARC Resources vs. MEG Energy Corp | ARC Resources vs. Vermilion Energy |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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