Correlation Between Kluang Rubber and Hartalega Holdings
Can any of the company-specific risk be diversified away by investing in both Kluang Rubber and Hartalega Holdings 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 Kluang Rubber and Hartalega Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kluang Rubber and Hartalega Holdings Bhd, you can compare the effects of market volatilities on Kluang Rubber and Hartalega Holdings 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 Kluang Rubber with a short position of Hartalega Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kluang Rubber and Hartalega Holdings.
Diversification Opportunities for Kluang Rubber and Hartalega Holdings
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kluang and Hartalega is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Kluang Rubber and Hartalega Holdings Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartalega Holdings Bhd and Kluang Rubber 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 Kluang Rubber are associated (or correlated) with Hartalega Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartalega Holdings Bhd has no effect on the direction of Kluang Rubber i.e., Kluang Rubber and Hartalega Holdings go up and down completely randomly.
Pair Corralation between Kluang Rubber and Hartalega Holdings
Assuming the 90 days trading horizon Kluang Rubber is expected to under-perform the Hartalega Holdings. But the stock apears to be less risky and, when comparing its historical volatility, Kluang Rubber is 3.13 times less risky than Hartalega Holdings. The stock trades about 0.0 of its potential returns per unit of risk. The Hartalega Holdings Bhd is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 260.00 in Hartalega Holdings Bhd on September 3, 2024 and sell it today you would earn a total of 92.00 from holding Hartalega Holdings Bhd or generate 35.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kluang Rubber vs. Hartalega Holdings Bhd
Performance |
Timeline |
Kluang Rubber |
Hartalega Holdings Bhd |
Kluang Rubber and Hartalega Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kluang Rubber and Hartalega Holdings
The main advantage of trading using opposite Kluang Rubber and Hartalega Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kluang Rubber position performs unexpectedly, Hartalega Holdings 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 Hartalega Holdings will offset losses from the drop in Hartalega Holdings' long position.Kluang Rubber vs. British American Tobacco | Kluang Rubber vs. FARM FRESH BERHAD | Kluang Rubber vs. Apollo Food Holdings | Kluang Rubber vs. Oriental Food Industries |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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