Correlation Between Shangri La and Petronas Chemicals
Can any of the company-specific risk be diversified away by investing in both Shangri La and Petronas Chemicals 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 Shangri La and Petronas Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shangri La Hotels and Petronas Chemicals Group, you can compare the effects of market volatilities on Shangri La and Petronas Chemicals 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 Shangri La with a short position of Petronas Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shangri La and Petronas Chemicals.
Diversification Opportunities for Shangri La and Petronas Chemicals
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Shangri and Petronas is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Shangri La Hotels and Petronas Chemicals Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Petronas Chemicals and Shangri La 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 Shangri La Hotels are associated (or correlated) with Petronas Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Petronas Chemicals has no effect on the direction of Shangri La i.e., Shangri La and Petronas Chemicals go up and down completely randomly.
Pair Corralation between Shangri La and Petronas Chemicals
Assuming the 90 days trading horizon Shangri La Hotels is expected to generate 0.49 times more return on investment than Petronas Chemicals. However, Shangri La Hotels is 2.03 times less risky than Petronas Chemicals. It trades about 0.03 of its potential returns per unit of risk. Petronas Chemicals Group is currently generating about 0.01 per unit of risk. If you would invest 201.00 in Shangri La Hotels on October 24, 2024 and sell it today you would earn a total of 1.00 from holding Shangri La Hotels or generate 0.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Shangri La Hotels vs. Petronas Chemicals Group
Performance |
Timeline |
Shangri La Hotels |
Petronas Chemicals |
Shangri La and Petronas Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shangri La and Petronas Chemicals
The main advantage of trading using opposite Shangri La and Petronas Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shangri La position performs unexpectedly, Petronas Chemicals 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 Petronas Chemicals will offset losses from the drop in Petronas Chemicals' long position.Shangri La vs. British American Tobacco | Shangri La vs. Central Industrial Corp | Shangri La vs. BP Plastics Holding | Shangri La vs. Diversified Gateway Solutions |
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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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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