Correlation Between Minetech Resources and Kuala Lumpur
Can any of the company-specific risk be diversified away by investing in both Minetech Resources and Kuala Lumpur 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 Minetech Resources and Kuala Lumpur into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Minetech Resources Bhd and Kuala Lumpur Kepong, you can compare the effects of market volatilities on Minetech Resources and Kuala Lumpur 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 Minetech Resources with a short position of Kuala Lumpur. Check out your portfolio center. Please also check ongoing floating volatility patterns of Minetech Resources and Kuala Lumpur.
Diversification Opportunities for Minetech Resources and Kuala Lumpur
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Minetech and Kuala is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Minetech Resources Bhd and Kuala Lumpur Kepong in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kuala Lumpur Kepong and Minetech Resources 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 Minetech Resources Bhd are associated (or correlated) with Kuala Lumpur. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kuala Lumpur Kepong has no effect on the direction of Minetech Resources i.e., Minetech Resources and Kuala Lumpur go up and down completely randomly.
Pair Corralation between Minetech Resources and Kuala Lumpur
Assuming the 90 days trading horizon Minetech Resources Bhd is expected to under-perform the Kuala Lumpur. In addition to that, Minetech Resources is 3.4 times more volatile than Kuala Lumpur Kepong. It trades about 0.0 of its total potential returns per unit of risk. Kuala Lumpur Kepong is currently generating about 0.02 per unit of volatility. If you would invest 2,128 in Kuala Lumpur Kepong on September 4, 2024 and sell it today you would earn a total of 24.00 from holding Kuala Lumpur Kepong or generate 1.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Minetech Resources Bhd vs. Kuala Lumpur Kepong
Performance |
Timeline |
Minetech Resources Bhd |
Kuala Lumpur Kepong |
Minetech Resources and Kuala Lumpur Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Minetech Resources and Kuala Lumpur
The main advantage of trading using opposite Minetech Resources and Kuala Lumpur positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Minetech Resources position performs unexpectedly, Kuala Lumpur 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 Kuala Lumpur will offset losses from the drop in Kuala Lumpur's long position.Minetech Resources vs. Swift Haulage Bhd | Minetech Resources vs. Insas Bhd | Minetech Resources vs. Bina Darulaman Bhd | Minetech Resources vs. Sunzen Biotech Bhd |
Kuala Lumpur vs. Keck Seng Malaysia | Kuala Lumpur vs. Minetech Resources Bhd | Kuala Lumpur vs. Swift Haulage Bhd | Kuala Lumpur vs. Insas 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 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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