Correlation Between Yuexiu Transport and TRAINLINE PLC
Can any of the company-specific risk be diversified away by investing in both Yuexiu Transport and TRAINLINE PLC 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 Yuexiu Transport and TRAINLINE PLC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yuexiu Transport Infrastructure and TRAINLINE PLC LS, you can compare the effects of market volatilities on Yuexiu Transport and TRAINLINE PLC 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 Yuexiu Transport with a short position of TRAINLINE PLC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yuexiu Transport and TRAINLINE PLC.
Diversification Opportunities for Yuexiu Transport and TRAINLINE PLC
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Yuexiu and TRAINLINE is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Yuexiu Transport Infrastructur and TRAINLINE PLC LS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TRAINLINE PLC LS and Yuexiu Transport 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 Yuexiu Transport Infrastructure are associated (or correlated) with TRAINLINE PLC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TRAINLINE PLC LS has no effect on the direction of Yuexiu Transport i.e., Yuexiu Transport and TRAINLINE PLC go up and down completely randomly.
Pair Corralation between Yuexiu Transport and TRAINLINE PLC
Assuming the 90 days horizon Yuexiu Transport Infrastructure is expected to generate 2.12 times more return on investment than TRAINLINE PLC. However, Yuexiu Transport is 2.12 times more volatile than TRAINLINE PLC LS. It trades about 0.15 of its potential returns per unit of risk. TRAINLINE PLC LS is currently generating about 0.18 per unit of risk. If you would invest 30.00 in Yuexiu Transport Infrastructure on September 23, 2024 and sell it today you would earn a total of 15.00 from holding Yuexiu Transport Infrastructure or generate 50.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Yuexiu Transport Infrastructur vs. TRAINLINE PLC LS
Performance |
Timeline |
Yuexiu Transport Inf |
TRAINLINE PLC LS |
Yuexiu Transport and TRAINLINE PLC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yuexiu Transport and TRAINLINE PLC
The main advantage of trading using opposite Yuexiu Transport and TRAINLINE PLC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yuexiu Transport position performs unexpectedly, TRAINLINE PLC 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 TRAINLINE PLC will offset losses from the drop in TRAINLINE PLC's long position.Yuexiu Transport vs. Transurban Group | Yuexiu Transport vs. Getlink SE | Yuexiu Transport vs. Jiangsu Expressway | Yuexiu Transport vs. Zhejiang Expressway Co |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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