Correlation Between TRAINLINE PLC and PetroChina Company
Can any of the company-specific risk be diversified away by investing in both TRAINLINE PLC and PetroChina Company 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 TRAINLINE PLC and PetroChina Company into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TRAINLINE PLC LS and PetroChina Company Limited, you can compare the effects of market volatilities on TRAINLINE PLC and PetroChina Company 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 TRAINLINE PLC with a short position of PetroChina Company. Check out your portfolio center. Please also check ongoing floating volatility patterns of TRAINLINE PLC and PetroChina Company.
Diversification Opportunities for TRAINLINE PLC and PetroChina Company
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between TRAINLINE and PetroChina is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding TRAINLINE PLC LS and PetroChina Company Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PetroChina Limited and TRAINLINE PLC 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 TRAINLINE PLC LS are associated (or correlated) with PetroChina Company. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PetroChina Limited has no effect on the direction of TRAINLINE PLC i.e., TRAINLINE PLC and PetroChina Company go up and down completely randomly.
Pair Corralation between TRAINLINE PLC and PetroChina Company
Assuming the 90 days trading horizon TRAINLINE PLC LS is expected to generate 0.94 times more return on investment than PetroChina Company. However, TRAINLINE PLC LS is 1.07 times less risky than PetroChina Company. It trades about 0.18 of its potential returns per unit of risk. PetroChina Company Limited is currently generating about 0.0 per unit of risk. If you would invest 398.00 in TRAINLINE PLC LS on September 29, 2024 and sell it today you would earn a total of 112.00 from holding TRAINLINE PLC LS or generate 28.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
TRAINLINE PLC LS vs. PetroChina Company Limited
Performance |
Timeline |
TRAINLINE PLC LS |
PetroChina Limited |
TRAINLINE PLC and PetroChina Company Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TRAINLINE PLC and PetroChina Company
The main advantage of trading using opposite TRAINLINE PLC and PetroChina Company positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TRAINLINE PLC position performs unexpectedly, PetroChina Company 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 PetroChina Company will offset losses from the drop in PetroChina Company's long position.TRAINLINE PLC vs. TRIPCOM GROUP DL 00125 | TRAINLINE PLC vs. TUI AG | TRAINLINE PLC vs. TripAdvisor | TRAINLINE PLC vs. FOSTOURGRP EO 0001 |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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