Correlation Between Kuala Lumpur and MClean Technologies
Can any of the company-specific risk be diversified away by investing in both Kuala Lumpur and MClean Technologies 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 Kuala Lumpur and MClean Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kuala Lumpur Kepong and MClean Technologies Bhd, you can compare the effects of market volatilities on Kuala Lumpur and MClean Technologies 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 Kuala Lumpur with a short position of MClean Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kuala Lumpur and MClean Technologies.
Diversification Opportunities for Kuala Lumpur and MClean Technologies
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Kuala and MClean is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Kuala Lumpur Kepong and MClean Technologies Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MClean Technologies Bhd and Kuala Lumpur 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 Kuala Lumpur Kepong are associated (or correlated) with MClean Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MClean Technologies Bhd has no effect on the direction of Kuala Lumpur i.e., Kuala Lumpur and MClean Technologies go up and down completely randomly.
Pair Corralation between Kuala Lumpur and MClean Technologies
Assuming the 90 days trading horizon Kuala Lumpur is expected to generate 2.58 times less return on investment than MClean Technologies. But when comparing it to its historical volatility, Kuala Lumpur Kepong is 3.14 times less risky than MClean Technologies. It trades about 0.02 of its potential returns per unit of risk. MClean Technologies Bhd is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 29.00 in MClean Technologies Bhd on September 14, 2024 and sell it today you would earn a total of 0.00 from holding MClean Technologies Bhd or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Kuala Lumpur Kepong vs. MClean Technologies Bhd
Performance |
Timeline |
Kuala Lumpur Kepong |
MClean Technologies Bhd |
Kuala Lumpur and MClean Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kuala Lumpur and MClean Technologies
The main advantage of trading using opposite Kuala Lumpur and MClean Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kuala Lumpur position performs unexpectedly, MClean Technologies 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 MClean Technologies will offset losses from the drop in MClean Technologies' long position.Kuala Lumpur vs. MClean Technologies Bhd | Kuala Lumpur vs. Awanbiru Technology Bhd | Kuala Lumpur vs. Kobay Tech Bhd | Kuala Lumpur vs. Aurelius Technologies Bhd |
MClean Technologies vs. Binasat Communications Bhd | MClean Technologies vs. Rubberex M | MClean Technologies vs. Computer Forms Bhd | MClean Technologies vs. Riverview Rubber Estates |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Other Complementary Tools
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Money Managers Screen money managers from public funds and ETFs managed around the world |