Correlation Between WOODSIDE ENE and Canadian Utilities
Can any of the company-specific risk be diversified away by investing in both WOODSIDE ENE and Canadian Utilities 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 WOODSIDE ENE and Canadian Utilities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WOODSIDE ENE SPADR and Canadian Utilities Limited, you can compare the effects of market volatilities on WOODSIDE ENE and Canadian Utilities 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 WOODSIDE ENE with a short position of Canadian Utilities. Check out your portfolio center. Please also check ongoing floating volatility patterns of WOODSIDE ENE and Canadian Utilities.
Diversification Opportunities for WOODSIDE ENE and Canadian Utilities
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between WOODSIDE and Canadian is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding WOODSIDE ENE SPADR and Canadian Utilities Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canadian Utilities and WOODSIDE ENE 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 WOODSIDE ENE SPADR are associated (or correlated) with Canadian Utilities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canadian Utilities has no effect on the direction of WOODSIDE ENE i.e., WOODSIDE ENE and Canadian Utilities go up and down completely randomly.
Pair Corralation between WOODSIDE ENE and Canadian Utilities
Assuming the 90 days horizon WOODSIDE ENE SPADR is expected to generate 2.47 times more return on investment than Canadian Utilities. However, WOODSIDE ENE is 2.47 times more volatile than Canadian Utilities Limited. It trades about 0.2 of its potential returns per unit of risk. Canadian Utilities Limited is currently generating about -0.09 per unit of risk. If you would invest 1,350 in WOODSIDE ENE SPADR on October 11, 2024 and sell it today you would earn a total of 130.00 from holding WOODSIDE ENE SPADR or generate 9.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
WOODSIDE ENE SPADR vs. Canadian Utilities Limited
Performance |
Timeline |
WOODSIDE ENE SPADR |
Canadian Utilities |
WOODSIDE ENE and Canadian Utilities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WOODSIDE ENE and Canadian Utilities
The main advantage of trading using opposite WOODSIDE ENE and Canadian Utilities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WOODSIDE ENE position performs unexpectedly, Canadian Utilities 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 Canadian Utilities will offset losses from the drop in Canadian Utilities' long position.WOODSIDE ENE vs. Canadian Utilities Limited | WOODSIDE ENE vs. YATRA ONLINE DL 0001 | WOODSIDE ENE vs. ZhongAn Online P | WOODSIDE ENE vs. Algonquin Power Utilities |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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