Correlation Between Asia Sermkij and Hwa Fong
Can any of the company-specific risk be diversified away by investing in both Asia Sermkij and Hwa Fong 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 Asia Sermkij and Hwa Fong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asia Sermkij Leasing and Hwa Fong Rubber, you can compare the effects of market volatilities on Asia Sermkij and Hwa Fong 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 Asia Sermkij with a short position of Hwa Fong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asia Sermkij and Hwa Fong.
Diversification Opportunities for Asia Sermkij and Hwa Fong
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Asia and Hwa is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Asia Sermkij Leasing and Hwa Fong Rubber in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hwa Fong Rubber and Asia Sermkij 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 Asia Sermkij Leasing are associated (or correlated) with Hwa Fong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hwa Fong Rubber has no effect on the direction of Asia Sermkij i.e., Asia Sermkij and Hwa Fong go up and down completely randomly.
Pair Corralation between Asia Sermkij and Hwa Fong
Assuming the 90 days trading horizon Asia Sermkij Leasing is expected to under-perform the Hwa Fong. In addition to that, Asia Sermkij is 1.35 times more volatile than Hwa Fong Rubber. It trades about -0.6 of its total potential returns per unit of risk. Hwa Fong Rubber is currently generating about 0.11 per unit of volatility. If you would invest 416.00 in Hwa Fong Rubber on October 23, 2024 and sell it today you would earn a total of 10.00 from holding Hwa Fong Rubber or generate 2.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Asia Sermkij Leasing vs. Hwa Fong Rubber
Performance |
Timeline |
Asia Sermkij Leasing |
Hwa Fong Rubber |
Asia Sermkij and Hwa Fong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asia Sermkij and Hwa Fong
The main advantage of trading using opposite Asia Sermkij and Hwa Fong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asia Sermkij position performs unexpectedly, Hwa Fong 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 Hwa Fong will offset losses from the drop in Hwa Fong's long position.Asia Sermkij vs. AP Public | Asia Sermkij vs. Kiatnakin Phatra Bank | Asia Sermkij vs. TISCO Financial Group | Asia Sermkij vs. Carabao Group Public |
Hwa Fong vs. Haad Thip Public | Hwa Fong vs. AAPICO Hitech Public | Hwa Fong vs. Inoue Rubber Public | Hwa Fong vs. Hana Microelectronics Public |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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