Correlation Between Telecoms Informatics and POST TELECOMMU
Can any of the company-specific risk be diversified away by investing in both Telecoms Informatics and POST TELECOMMU 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 POST TELECOMMU 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 POST TELECOMMU, you can compare the effects of market volatilities on Telecoms Informatics and POST TELECOMMU 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 POST TELECOMMU. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telecoms Informatics and POST TELECOMMU.
Diversification Opportunities for Telecoms Informatics and POST TELECOMMU
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Telecoms and POST is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Telecoms Informatics JSC and POST TELECOMMU in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on POST TELECOMMU 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 POST TELECOMMU. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of POST TELECOMMU has no effect on the direction of Telecoms Informatics i.e., Telecoms Informatics and POST TELECOMMU go up and down completely randomly.
Pair Corralation between Telecoms Informatics and POST TELECOMMU
Assuming the 90 days trading horizon Telecoms Informatics is expected to generate 1.18 times less return on investment than POST TELECOMMU. But when comparing it to its historical volatility, Telecoms Informatics JSC is 1.5 times less risky than POST TELECOMMU. It trades about 0.06 of its potential returns per unit of risk. POST TELECOMMU is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 3,040,000 in POST TELECOMMU on September 12, 2024 and sell it today you would earn a total of 170,000 from holding POST TELECOMMU or generate 5.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 78.13% |
Values | Daily Returns |
Telecoms Informatics JSC vs. POST TELECOMMU
Performance |
Timeline |
Telecoms Informatics JSC |
POST TELECOMMU |
Telecoms Informatics and POST TELECOMMU Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telecoms Informatics and POST TELECOMMU
The main advantage of trading using opposite Telecoms Informatics and POST TELECOMMU positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telecoms Informatics position performs unexpectedly, POST TELECOMMU 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 POST TELECOMMU will offset losses from the drop in POST TELECOMMU'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 |
POST TELECOMMU vs. FIT INVEST JSC | POST TELECOMMU vs. Damsan JSC | POST TELECOMMU vs. An Phat Plastic | POST TELECOMMU vs. Alphanam ME |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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