Correlation Between KL Technology and ECS ICT
Can any of the company-specific risk be diversified away by investing in both KL Technology and ECS ICT 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 KL Technology and ECS ICT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KL Technology and ECS ICT Bhd, you can compare the effects of market volatilities on KL Technology and ECS ICT 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 KL Technology with a short position of ECS ICT. Check out your portfolio center. Please also check ongoing floating volatility patterns of KL Technology and ECS ICT.
Diversification Opportunities for KL Technology and ECS ICT
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between KLTE and ECS is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding KL Technology and ECS ICT Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ECS ICT Bhd and KL Technology 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 KL Technology are associated (or correlated) with ECS ICT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ECS ICT Bhd has no effect on the direction of KL Technology i.e., KL Technology and ECS ICT go up and down completely randomly.
Pair Corralation between KL Technology and ECS ICT
Assuming the 90 days trading horizon KL Technology is expected to under-perform the ECS ICT. But the index apears to be less risky and, when comparing its historical volatility, KL Technology is 1.65 times less risky than ECS ICT. The index trades about -0.08 of its potential returns per unit of risk. The ECS ICT Bhd is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 417.00 in ECS ICT Bhd on September 26, 2024 and sell it today you would lose (20.00) from holding ECS ICT Bhd or give up 4.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
KL Technology vs. ECS ICT Bhd
Performance |
Timeline |
KL Technology and ECS ICT Volatility Contrast
Predicted Return Density |
Returns |
KL Technology
Pair trading matchups for KL Technology
ECS ICT Bhd
Pair trading matchups for ECS ICT
Pair Trading with KL Technology and ECS ICT
The main advantage of trading using opposite KL Technology and ECS ICT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KL Technology position performs unexpectedly, ECS ICT 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 ECS ICT will offset losses from the drop in ECS ICT's long position.KL Technology vs. Binasat Communications Bhd | KL Technology vs. JF Technology BHD | KL Technology vs. Nova Wellness Group | KL Technology vs. Leader Steel Holdings |
ECS ICT vs. Malayan Banking Bhd | ECS ICT vs. Public Bank Bhd | ECS ICT vs. Petronas Chemicals Group | ECS ICT vs. Tenaga Nasional 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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