Correlation Between Telecoms Informatics and Thien Long
Can any of the company-specific risk be diversified away by investing in both Telecoms Informatics and Thien Long 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 Telecoms Informatics and Thien Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Telecoms Informatics JSC and Thien Long Group, you can compare the effects of market volatilities on Telecoms Informatics and Thien Long 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 Telecoms Informatics with a short position of Thien Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telecoms Informatics and Thien Long.
Diversification Opportunities for Telecoms Informatics and Thien Long
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Telecoms and Thien is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Telecoms Informatics JSC and Thien Long Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thien Long Group and Telecoms Informatics 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 Telecoms Informatics JSC are associated (or correlated) with Thien Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thien Long Group has no effect on the direction of Telecoms Informatics i.e., Telecoms Informatics and Thien Long go up and down completely randomly.
Pair Corralation between Telecoms Informatics and Thien Long
Assuming the 90 days trading horizon Telecoms Informatics is expected to generate 1.91 times less return on investment than Thien Long. But when comparing it to its historical volatility, Telecoms Informatics JSC is 1.04 times less risky than Thien Long. It trades about 0.11 of its potential returns per unit of risk. Thien Long Group is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 6,350,000 in Thien Long Group on October 1, 2024 and sell it today you would earn a total of 560,000 from holding Thien Long Group or generate 8.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Telecoms Informatics JSC vs. Thien Long Group
Performance |
Timeline |
Telecoms Informatics JSC |
Thien Long Group |
Telecoms Informatics and Thien Long Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telecoms Informatics and Thien Long
The main advantage of trading using opposite Telecoms Informatics and Thien Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telecoms Informatics position performs unexpectedly, Thien Long 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 Thien Long will offset losses from the drop in Thien Long's long position.Telecoms Informatics vs. FIT INVEST JSC | Telecoms Informatics vs. Damsan JSC | Telecoms Informatics vs. An Phat Plastic | Telecoms Informatics vs. Alphanam ME |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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