Correlation Between BP Plastics and Kluang Rubber
Can any of the company-specific risk be diversified away by investing in both BP Plastics and Kluang Rubber 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 BP Plastics and Kluang Rubber into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BP Plastics Holding and Kluang Rubber, you can compare the effects of market volatilities on BP Plastics and Kluang Rubber 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 BP Plastics with a short position of Kluang Rubber. Check out your portfolio center. Please also check ongoing floating volatility patterns of BP Plastics and Kluang Rubber.
Diversification Opportunities for BP Plastics and Kluang Rubber
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between 5100 and Kluang is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding BP Plastics Holding and Kluang Rubber in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kluang Rubber and BP Plastics 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 BP Plastics Holding are associated (or correlated) with Kluang Rubber. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kluang Rubber has no effect on the direction of BP Plastics i.e., BP Plastics and Kluang Rubber go up and down completely randomly.
Pair Corralation between BP Plastics and Kluang Rubber
Assuming the 90 days trading horizon BP Plastics Holding is expected to generate 1.35 times more return on investment than Kluang Rubber. However, BP Plastics is 1.35 times more volatile than Kluang Rubber. It trades about 0.01 of its potential returns per unit of risk. Kluang Rubber is currently generating about -0.02 per unit of risk. If you would invest 119.00 in BP Plastics Holding on October 23, 2024 and sell it today you would earn a total of 0.00 from holding BP Plastics Holding or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BP Plastics Holding vs. Kluang Rubber
Performance |
Timeline |
BP Plastics Holding |
Kluang Rubber |
BP Plastics and Kluang Rubber Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BP Plastics and Kluang Rubber
The main advantage of trading using opposite BP Plastics and Kluang Rubber positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BP Plastics position performs unexpectedly, Kluang Rubber 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 Kluang Rubber will offset losses from the drop in Kluang Rubber's long position.BP Plastics vs. Awanbiru Technology Bhd | BP Plastics vs. Binasat Communications Bhd | BP Plastics vs. Al Aqar Healthcare | BP Plastics vs. Senheng New Retail |
Kluang Rubber vs. Sports Toto Berhad | Kluang Rubber vs. British American Tobacco | Kluang Rubber vs. Choo Bee Metal | Kluang Rubber vs. Rubberex M |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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