Correlation Between TRAVEL + and CITIC Telecom
Can any of the company-specific risk be diversified away by investing in both TRAVEL + and CITIC Telecom 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 TRAVEL + and CITIC Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TRAVEL LEISURE DL 01 and CITIC Telecom International, you can compare the effects of market volatilities on TRAVEL + and CITIC Telecom 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 TRAVEL + with a short position of CITIC Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of TRAVEL + and CITIC Telecom.
Diversification Opportunities for TRAVEL + and CITIC Telecom
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between TRAVEL and CITIC is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding TRAVEL LEISURE DL 01 and CITIC Telecom International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CITIC Telecom Intern and TRAVEL + 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 TRAVEL LEISURE DL 01 are associated (or correlated) with CITIC Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CITIC Telecom Intern has no effect on the direction of TRAVEL + i.e., TRAVEL + and CITIC Telecom go up and down completely randomly.
Pair Corralation between TRAVEL + and CITIC Telecom
Assuming the 90 days trading horizon TRAVEL LEISURE DL 01 is expected to generate 1.22 times more return on investment than CITIC Telecom. However, TRAVEL + is 1.22 times more volatile than CITIC Telecom International. It trades about 0.12 of its potential returns per unit of risk. CITIC Telecom International is currently generating about 0.1 per unit of risk. If you would invest 5,550 in TRAVEL LEISURE DL 01 on August 30, 2025 and sell it today you would earn a total of 300.00 from holding TRAVEL LEISURE DL 01 or generate 5.41% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
TRAVEL LEISURE DL 01 vs. CITIC Telecom International
Performance |
| Timeline |
| TRAVEL LEISURE DL |
| CITIC Telecom Intern |
TRAVEL + and CITIC Telecom Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with TRAVEL + and CITIC Telecom
The main advantage of trading using opposite TRAVEL + and CITIC Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TRAVEL + position performs unexpectedly, CITIC Telecom 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 CITIC Telecom will offset losses from the drop in CITIC Telecom's long position.| TRAVEL + vs. Sterling Construction | TRAVEL + vs. JAPAN AIRLINES | TRAVEL + vs. Australian Agricultural | TRAVEL + vs. Singapore Airlines Limited |
| CITIC Telecom vs. CDN IMPERIAL BANK | CITIC Telecom vs. OAKTRSPECLENDNEW | CITIC Telecom vs. CHIBA BANK | CITIC Telecom vs. BIOPHARMA CREDIT DL |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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