Correlation Between Telekom Malaysia and TIME Dotcom
Can any of the company-specific risk be diversified away by investing in both Telekom Malaysia and TIME Dotcom 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 Telekom Malaysia and TIME Dotcom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Telekom Malaysia Bhd and TIME Dotcom Bhd, you can compare the effects of market volatilities on Telekom Malaysia and TIME Dotcom 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 Telekom Malaysia with a short position of TIME Dotcom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telekom Malaysia and TIME Dotcom.
Diversification Opportunities for Telekom Malaysia and TIME Dotcom
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Telekom and TIME is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Telekom Malaysia Bhd and TIME Dotcom Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TIME Dotcom Bhd and Telekom Malaysia 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 Telekom Malaysia Bhd are associated (or correlated) with TIME Dotcom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TIME Dotcom Bhd has no effect on the direction of Telekom Malaysia i.e., Telekom Malaysia and TIME Dotcom go up and down completely randomly.
Pair Corralation between Telekom Malaysia and TIME Dotcom
Assuming the 90 days trading horizon Telekom Malaysia Bhd is expected to generate 1.17 times more return on investment than TIME Dotcom. However, Telekom Malaysia is 1.17 times more volatile than TIME Dotcom Bhd. It trades about 0.08 of its potential returns per unit of risk. TIME Dotcom Bhd is currently generating about -0.03 per unit of risk. If you would invest 530.00 in Telekom Malaysia Bhd on September 24, 2024 and sell it today you would earn a total of 142.00 from holding Telekom Malaysia Bhd or generate 26.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Telekom Malaysia Bhd vs. TIME Dotcom Bhd
Performance |
Timeline |
Telekom Malaysia Bhd |
TIME Dotcom Bhd |
Telekom Malaysia and TIME Dotcom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telekom Malaysia and TIME Dotcom
The main advantage of trading using opposite Telekom Malaysia and TIME Dotcom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telekom Malaysia position performs unexpectedly, TIME Dotcom 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 TIME Dotcom will offset losses from the drop in TIME Dotcom's long position.Telekom Malaysia vs. Axiata Group Bhd | Telekom Malaysia vs. TIME Dotcom Bhd | Telekom Malaysia vs. Binasat Communications Bhd | Telekom Malaysia vs. Scientex Bhd |
TIME Dotcom vs. Axiata Group Bhd | TIME Dotcom vs. Telekom Malaysia Bhd | TIME Dotcom vs. Binasat Communications Bhd | TIME Dotcom vs. Scientex Bhd |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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