Correlation Between Eversafe Rubber and Kawan Food
Can any of the company-specific risk be diversified away by investing in both Eversafe Rubber and Kawan Food 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 Eversafe Rubber and Kawan Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eversafe Rubber Bhd and Kawan Food Bhd, you can compare the effects of market volatilities on Eversafe Rubber and Kawan Food 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 Eversafe Rubber with a short position of Kawan Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eversafe Rubber and Kawan Food.
Diversification Opportunities for Eversafe Rubber and Kawan Food
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Eversafe and Kawan is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Eversafe Rubber Bhd and Kawan Food Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kawan Food Bhd and Eversafe 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 Eversafe Rubber Bhd are associated (or correlated) with Kawan Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kawan Food Bhd has no effect on the direction of Eversafe Rubber i.e., Eversafe Rubber and Kawan Food go up and down completely randomly.
Pair Corralation between Eversafe Rubber and Kawan Food
Assuming the 90 days trading horizon Eversafe Rubber Bhd is expected to generate 3.16 times more return on investment than Kawan Food. However, Eversafe Rubber is 3.16 times more volatile than Kawan Food Bhd. It trades about 0.0 of its potential returns per unit of risk. Kawan Food Bhd is currently generating about -0.04 per unit of risk. If you would invest 22.00 in Eversafe Rubber Bhd on December 2, 2024 and sell it today you would lose (7.00) from holding Eversafe Rubber Bhd or give up 31.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 97.53% |
Values | Daily Returns |
Eversafe Rubber Bhd vs. Kawan Food Bhd
Performance |
Timeline |
Eversafe Rubber Bhd |
Kawan Food Bhd |
Eversafe Rubber and Kawan Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eversafe Rubber and Kawan Food
The main advantage of trading using opposite Eversafe Rubber and Kawan Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eversafe Rubber position performs unexpectedly, Kawan Food 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 Kawan Food will offset losses from the drop in Kawan Food's long position.Eversafe Rubber vs. Choo Bee Metal | Eversafe Rubber vs. Hong Leong Bank | Eversafe Rubber vs. Riverview Rubber Estates | Eversafe Rubber vs. Diversified Gateway Solutions |
Kawan Food vs. Hong Leong Bank | Kawan Food vs. Resintech Bhd | Kawan Food vs. MClean Technologies Bhd | Kawan Food vs. Cosmos Technology International |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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