Correlation Between Guangdong Investment and Phillips
Can any of the company-specific risk be diversified away by investing in both Guangdong Investment and Phillips 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 Guangdong Investment and Phillips into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guangdong Investment Limited and Phillips 66, you can compare the effects of market volatilities on Guangdong Investment and Phillips 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 Guangdong Investment with a short position of Phillips. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guangdong Investment and Phillips.
Diversification Opportunities for Guangdong Investment and Phillips
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Guangdong and Phillips is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Guangdong Investment Limited and Phillips 66 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Phillips 66 and Guangdong Investment 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 Guangdong Investment Limited are associated (or correlated) with Phillips. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Phillips 66 has no effect on the direction of Guangdong Investment i.e., Guangdong Investment and Phillips go up and down completely randomly.
Pair Corralation between Guangdong Investment and Phillips
Assuming the 90 days horizon Guangdong Investment Limited is expected to generate 1.72 times more return on investment than Phillips. However, Guangdong Investment is 1.72 times more volatile than Phillips 66. It trades about 0.14 of its potential returns per unit of risk. Phillips 66 is currently generating about -0.02 per unit of risk. If you would invest 57.00 in Guangdong Investment Limited on October 25, 2024 and sell it today you would earn a total of 15.00 from holding Guangdong Investment Limited or generate 26.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Guangdong Investment Limited vs. Phillips 66
Performance |
Timeline |
Guangdong Investment |
Phillips 66 |
Guangdong Investment and Phillips Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guangdong Investment and Phillips
The main advantage of trading using opposite Guangdong Investment and Phillips positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guangdong Investment position performs unexpectedly, Phillips 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 Phillips will offset losses from the drop in Phillips' long position.Guangdong Investment vs. American Water Works | Guangdong Investment vs. United Utilities Group | Guangdong Investment vs. Gelsenwasser AG | Guangdong Investment vs. American States Water |
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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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
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