Correlation Between Cloudpoint Technology and Kuala Lumpur
Can any of the company-specific risk be diversified away by investing in both Cloudpoint Technology 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 Cloudpoint Technology and Kuala Lumpur into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cloudpoint Technology Berhad and Kuala Lumpur Kepong, you can compare the effects of market volatilities on Cloudpoint Technology 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 Cloudpoint Technology with a short position of Kuala Lumpur. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cloudpoint Technology and Kuala Lumpur.
Diversification Opportunities for Cloudpoint Technology and Kuala Lumpur
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cloudpoint and Kuala is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Cloudpoint Technology Berhad 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 Cloudpoint 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 Cloudpoint Technology Berhad 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 Cloudpoint Technology i.e., Cloudpoint Technology and Kuala Lumpur go up and down completely randomly.
Pair Corralation between Cloudpoint Technology and Kuala Lumpur
Assuming the 90 days trading horizon Cloudpoint Technology Berhad is expected to under-perform the Kuala Lumpur. In addition to that, Cloudpoint Technology is 3.29 times more volatile than Kuala Lumpur Kepong. It trades about -0.05 of its total potential returns per unit of risk. Kuala Lumpur Kepong is currently generating about -0.01 per unit of volatility. If you would invest 2,117 in Kuala Lumpur Kepong on December 25, 2024 and sell it today you would lose (23.00) from holding Kuala Lumpur Kepong or give up 1.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.28% |
Values | Daily Returns |
Cloudpoint Technology Berhad vs. Kuala Lumpur Kepong
Performance |
Timeline |
Cloudpoint Technology |
Kuala Lumpur Kepong |
Cloudpoint Technology and Kuala Lumpur Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cloudpoint Technology and Kuala Lumpur
The main advantage of trading using opposite Cloudpoint Technology and Kuala Lumpur positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cloudpoint Technology 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.Cloudpoint Technology vs. SSF Home Group | Cloudpoint Technology vs. Sanichi Technology Bhd | Cloudpoint Technology vs. MClean Technologies Bhd | Cloudpoint Technology vs. Genetec Technology 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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