Correlation Between TRAINLINE PLC and FOSTOURGRP
Can any of the company-specific risk be diversified away by investing in both TRAINLINE PLC and FOSTOURGRP 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 FOSTOURGRP 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 FOSTOURGRP EO 0001, you can compare the effects of market volatilities on TRAINLINE PLC and FOSTOURGRP 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 FOSTOURGRP. Check out your portfolio center. Please also check ongoing floating volatility patterns of TRAINLINE PLC and FOSTOURGRP.
Diversification Opportunities for TRAINLINE PLC and FOSTOURGRP
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between TRAINLINE and FOSTOURGRP is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding TRAINLINE PLC LS and FOSTOURGRP EO 0001 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FOSTOURGRP EO 0001 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 FOSTOURGRP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FOSTOURGRP EO 0001 has no effect on the direction of TRAINLINE PLC i.e., TRAINLINE PLC and FOSTOURGRP go up and down completely randomly.
Pair Corralation between TRAINLINE PLC and FOSTOURGRP
Assuming the 90 days trading horizon TRAINLINE PLC is expected to generate 16.82 times less return on investment than FOSTOURGRP. But when comparing it to its historical volatility, TRAINLINE PLC LS is 12.4 times less risky than FOSTOURGRP. It trades about 0.19 of its potential returns per unit of risk. FOSTOURGRP EO 0001 is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 40.00 in FOSTOURGRP EO 0001 on September 23, 2024 and sell it today you would earn a total of 50.00 from holding FOSTOURGRP EO 0001 or generate 125.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
TRAINLINE PLC LS vs. FOSTOURGRP EO 0001
Performance |
Timeline |
TRAINLINE PLC LS |
FOSTOURGRP EO 0001 |
TRAINLINE PLC and FOSTOURGRP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TRAINLINE PLC and FOSTOURGRP
The main advantage of trading using opposite TRAINLINE PLC and FOSTOURGRP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TRAINLINE PLC position performs unexpectedly, FOSTOURGRP 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 FOSTOURGRP will offset losses from the drop in FOSTOURGRP's long position.TRAINLINE PLC vs. TRIPCOM GROUP DL 00125 | TRAINLINE PLC vs. TRAVEL LEISURE DL 01 | TRAINLINE PLC vs. TUI AG | TRAINLINE PLC vs. TripAdvisor |
FOSTOURGRP vs. TRIPCOM GROUP DL 00125 | FOSTOURGRP vs. TRAVEL LEISURE DL 01 | FOSTOURGRP vs. TUI AG | FOSTOURGRP vs. TripAdvisor |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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