Correlation Between WOODSIDE ENE and CHINA HUARONG
Can any of the company-specific risk be diversified away by investing in both WOODSIDE ENE and CHINA HUARONG 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 CHINA HUARONG 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 CHINA HUARONG ENERHD 50, you can compare the effects of market volatilities on WOODSIDE ENE and CHINA HUARONG 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 CHINA HUARONG. Check out your portfolio center. Please also check ongoing floating volatility patterns of WOODSIDE ENE and CHINA HUARONG.
Diversification Opportunities for WOODSIDE ENE and CHINA HUARONG
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between WOODSIDE and CHINA is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding WOODSIDE ENE SPADR and CHINA HUARONG ENERHD 50 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHINA HUARONG ENERHD 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 CHINA HUARONG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHINA HUARONG ENERHD has no effect on the direction of WOODSIDE ENE i.e., WOODSIDE ENE and CHINA HUARONG go up and down completely randomly.
Pair Corralation between WOODSIDE ENE and CHINA HUARONG
Assuming the 90 days horizon WOODSIDE ENE SPADR is expected to under-perform the CHINA HUARONG. But the stock apears to be less risky and, when comparing its historical volatility, WOODSIDE ENE SPADR is 7.1 times less risky than CHINA HUARONG. The stock trades about -0.01 of its potential returns per unit of risk. The CHINA HUARONG ENERHD 50 is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 0.15 in CHINA HUARONG ENERHD 50 on November 28, 2024 and sell it today you would lose (0.05) from holding CHINA HUARONG ENERHD 50 or give up 33.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
WOODSIDE ENE SPADR vs. CHINA HUARONG ENERHD 50
Performance |
Timeline |
WOODSIDE ENE SPADR |
CHINA HUARONG ENERHD |
WOODSIDE ENE and CHINA HUARONG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WOODSIDE ENE and CHINA HUARONG
The main advantage of trading using opposite WOODSIDE ENE and CHINA HUARONG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WOODSIDE ENE position performs unexpectedly, CHINA HUARONG 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 CHINA HUARONG will offset losses from the drop in CHINA HUARONG's long position.WOODSIDE ENE vs. United Natural Foods | WOODSIDE ENE vs. T MOBILE US | WOODSIDE ENE vs. GEELY AUTOMOBILE | WOODSIDE ENE vs. Maple Leaf Foods |
CHINA HUARONG vs. SIDETRADE EO 1 | CHINA HUARONG vs. Indutrade AB | CHINA HUARONG vs. Fast Retailing Co | CHINA HUARONG vs. Salesforce |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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