Correlation Between T-Mobile and GEELY AUTOMOBILE
Can any of the company-specific risk be diversified away by investing in both T-Mobile and GEELY AUTOMOBILE 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 T-Mobile and GEELY AUTOMOBILE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between T Mobile and GEELY AUTOMOBILE, you can compare the effects of market volatilities on T-Mobile and GEELY AUTOMOBILE 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 T-Mobile with a short position of GEELY AUTOMOBILE. Check out your portfolio center. Please also check ongoing floating volatility patterns of T-Mobile and GEELY AUTOMOBILE.
Diversification Opportunities for T-Mobile and GEELY AUTOMOBILE
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between T-Mobile and GEELY is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding T Mobile and GEELY AUTOMOBILE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GEELY AUTOMOBILE and T-Mobile 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 T Mobile are associated (or correlated) with GEELY AUTOMOBILE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GEELY AUTOMOBILE has no effect on the direction of T-Mobile i.e., T-Mobile and GEELY AUTOMOBILE go up and down completely randomly.
Pair Corralation between T-Mobile and GEELY AUTOMOBILE
Assuming the 90 days horizon T-Mobile is expected to generate 1.09 times less return on investment than GEELY AUTOMOBILE. But when comparing it to its historical volatility, T Mobile is 1.59 times less risky than GEELY AUTOMOBILE. It trades about 0.1 of its potential returns per unit of risk. GEELY AUTOMOBILE is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 186.00 in GEELY AUTOMOBILE on December 22, 2024 and sell it today you would earn a total of 20.00 from holding GEELY AUTOMOBILE or generate 10.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
T Mobile vs. GEELY AUTOMOBILE
Performance |
Timeline |
T Mobile |
GEELY AUTOMOBILE |
T-Mobile and GEELY AUTOMOBILE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with T-Mobile and GEELY AUTOMOBILE
The main advantage of trading using opposite T-Mobile and GEELY AUTOMOBILE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if T-Mobile position performs unexpectedly, GEELY AUTOMOBILE 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 GEELY AUTOMOBILE will offset losses from the drop in GEELY AUTOMOBILE's long position.T-Mobile vs. Heidelberg Materials AG | T-Mobile vs. Media and Games | T-Mobile vs. CONTAGIOUS GAMING INC | T-Mobile vs. Compagnie Plastic Omnium |
GEELY AUTOMOBILE vs. Urban Outfitters | GEELY AUTOMOBILE vs. Perseus Mining Limited | GEELY AUTOMOBILE vs. SBM OFFSHORE | GEELY AUTOMOBILE vs. GRIFFIN MINING LTD |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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