Correlation Between BII Railway and CITIC Telecom
Can any of the company-specific risk be diversified away by investing in both BII Railway 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 BII Railway and CITIC Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BII Railway Transportation and CITIC Telecom International, you can compare the effects of market volatilities on BII Railway 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 BII Railway with a short position of CITIC Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of BII Railway and CITIC Telecom.
Diversification Opportunities for BII Railway and CITIC Telecom
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between BII and CITIC is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding BII Railway Transportation 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 BII Railway 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 BII Railway Transportation 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 BII Railway i.e., BII Railway and CITIC Telecom go up and down completely randomly.
Pair Corralation between BII Railway and CITIC Telecom
Assuming the 90 days horizon BII Railway is expected to generate 2.26 times less return on investment than CITIC Telecom. But when comparing it to its historical volatility, BII Railway Transportation is 1.98 times less risky than CITIC Telecom. It trades about 0.06 of its potential returns per unit of risk. CITIC Telecom International is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 26.00 in CITIC Telecom International on September 16, 2024 and sell it today you would earn a total of 1.00 from holding CITIC Telecom International or generate 3.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BII Railway Transportation vs. CITIC Telecom International
Performance |
Timeline |
BII Railway Transpor |
CITIC Telecom Intern |
BII Railway and CITIC Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BII Railway and CITIC Telecom
The main advantage of trading using opposite BII Railway and CITIC Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BII Railway 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.BII Railway vs. Cognizant Technology Solutions | BII Railway vs. Superior Plus Corp | BII Railway vs. SIVERS SEMICONDUCTORS AB | BII Railway vs. Norsk Hydro ASA |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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