Correlation Between MI Technovation and ECM Libra
Can any of the company-specific risk be diversified away by investing in both MI Technovation and ECM Libra 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 MI Technovation and ECM Libra into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MI Technovation Bhd and ECM Libra Financial, you can compare the effects of market volatilities on MI Technovation and ECM Libra 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 MI Technovation with a short position of ECM Libra. Check out your portfolio center. Please also check ongoing floating volatility patterns of MI Technovation and ECM Libra.
Diversification Opportunities for MI Technovation and ECM Libra
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between 5286 and ECM is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding MI Technovation Bhd and ECM Libra Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ECM Libra Financial and MI Technovation 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 MI Technovation Bhd are associated (or correlated) with ECM Libra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ECM Libra Financial has no effect on the direction of MI Technovation i.e., MI Technovation and ECM Libra go up and down completely randomly.
Pair Corralation between MI Technovation and ECM Libra
Assuming the 90 days trading horizon MI Technovation Bhd is expected to under-perform the ECM Libra. But the stock apears to be less risky and, when comparing its historical volatility, MI Technovation Bhd is 1.86 times less risky than ECM Libra. The stock trades about -0.15 of its potential returns per unit of risk. The ECM Libra Financial is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 17.00 in ECM Libra Financial on December 23, 2024 and sell it today you would earn a total of 3.00 from holding ECM Libra Financial or generate 17.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MI Technovation Bhd vs. ECM Libra Financial
Performance |
Timeline |
MI Technovation Bhd |
ECM Libra Financial |
MI Technovation and ECM Libra Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MI Technovation and ECM Libra
The main advantage of trading using opposite MI Technovation and ECM Libra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MI Technovation position performs unexpectedly, ECM Libra 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 ECM Libra will offset losses from the drop in ECM Libra's long position.MI Technovation vs. Datasonic Group Bhd | MI Technovation vs. Lysaght Galvanized Steel | MI Technovation vs. CSC Steel Holdings | MI Technovation vs. Southern Steel Bhd |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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