Correlation Between CITIC Telecom and SOFI TECHNOLOGIES
Can any of the company-specific risk be diversified away by investing in both CITIC Telecom and SOFI TECHNOLOGIES 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 CITIC Telecom and SOFI TECHNOLOGIES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CITIC Telecom International and SOFI TECHNOLOGIES, you can compare the effects of market volatilities on CITIC Telecom and SOFI TECHNOLOGIES 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 CITIC Telecom with a short position of SOFI TECHNOLOGIES. Check out your portfolio center. Please also check ongoing floating volatility patterns of CITIC Telecom and SOFI TECHNOLOGIES.
Diversification Opportunities for CITIC Telecom and SOFI TECHNOLOGIES
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between CITIC and SOFI is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding CITIC Telecom International and SOFI TECHNOLOGIES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SOFI TECHNOLOGIES and CITIC Telecom 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 CITIC Telecom International are associated (or correlated) with SOFI TECHNOLOGIES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SOFI TECHNOLOGIES has no effect on the direction of CITIC Telecom i.e., CITIC Telecom and SOFI TECHNOLOGIES go up and down completely randomly.
Pair Corralation between CITIC Telecom and SOFI TECHNOLOGIES
Assuming the 90 days horizon CITIC Telecom International is expected to generate 1.88 times more return on investment than SOFI TECHNOLOGIES. However, CITIC Telecom is 1.88 times more volatile than SOFI TECHNOLOGIES. It trades about 0.07 of its potential returns per unit of risk. SOFI TECHNOLOGIES is currently generating about 0.07 per unit of risk. If you would invest 4.07 in CITIC Telecom International on October 11, 2024 and sell it today you would earn a total of 22.93 from holding CITIC Telecom International or generate 563.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
CITIC Telecom International vs. SOFI TECHNOLOGIES
Performance |
Timeline |
CITIC Telecom Intern |
SOFI TECHNOLOGIES |
CITIC Telecom and SOFI TECHNOLOGIES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CITIC Telecom and SOFI TECHNOLOGIES
The main advantage of trading using opposite CITIC Telecom and SOFI TECHNOLOGIES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CITIC Telecom position performs unexpectedly, SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES will offset losses from the drop in SOFI TECHNOLOGIES's long position.CITIC Telecom vs. THAI BEVERAGE | CITIC Telecom vs. CENTURIA OFFICE REIT | CITIC Telecom vs. alstria office REIT AG | CITIC Telecom vs. KENEDIX OFFICE INV |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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