Correlation Between Kluang Rubber and Systech Bhd
Can any of the company-specific risk be diversified away by investing in both Kluang Rubber and Systech Bhd 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 Systech Bhd into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kluang Rubber and Systech Bhd, you can compare the effects of market volatilities on Kluang Rubber and Systech Bhd 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 Systech Bhd. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kluang Rubber and Systech Bhd.
Diversification Opportunities for Kluang Rubber and Systech Bhd
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Kluang and Systech is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Kluang Rubber and Systech Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Systech 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 Systech Bhd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Systech Bhd has no effect on the direction of Kluang Rubber i.e., Kluang Rubber and Systech Bhd go up and down completely randomly.
Pair Corralation between Kluang Rubber and Systech Bhd
Assuming the 90 days trading horizon Kluang Rubber is expected to under-perform the Systech Bhd. But the stock apears to be less risky and, when comparing its historical volatility, Kluang Rubber is 5.97 times less risky than Systech Bhd. The stock trades about -0.21 of its potential returns per unit of risk. The Systech Bhd is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 28.00 in Systech Bhd on October 6, 2024 and sell it today you would earn a total of 0.00 from holding Systech Bhd or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.0% |
Values | Daily Returns |
Kluang Rubber vs. Systech Bhd
Performance |
Timeline |
Kluang Rubber |
Systech Bhd |
Kluang Rubber and Systech Bhd Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kluang Rubber and Systech Bhd
The main advantage of trading using opposite Kluang Rubber and Systech Bhd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kluang Rubber position performs unexpectedly, Systech Bhd 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 Systech Bhd will offset losses from the drop in Systech Bhd's long position.Kluang Rubber vs. Choo Bee Metal | Kluang Rubber vs. Binasat Communications Bhd | Kluang Rubber vs. CB Industrial Product | Kluang Rubber vs. BP Plastics Holding |
Systech Bhd vs. Sunway Construction Group | Systech Bhd vs. ES Ceramics Technology | Systech Bhd vs. Kobay Tech Bhd | Systech Bhd vs. Aurelius Technologies 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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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