Correlation Between Samart Digital and Asia Sermkij
Can any of the company-specific risk be diversified away by investing in both Samart Digital and Asia Sermkij 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 Samart Digital and Asia Sermkij into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samart Digital Public and Asia Sermkij Leasing, you can compare the effects of market volatilities on Samart Digital and Asia Sermkij 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 Samart Digital with a short position of Asia Sermkij. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samart Digital and Asia Sermkij.
Diversification Opportunities for Samart Digital and Asia Sermkij
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Samart and Asia is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Samart Digital Public and Asia Sermkij Leasing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asia Sermkij Leasing and Samart Digital 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 Samart Digital Public are associated (or correlated) with Asia Sermkij. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asia Sermkij Leasing has no effect on the direction of Samart Digital i.e., Samart Digital and Asia Sermkij go up and down completely randomly.
Pair Corralation between Samart Digital and Asia Sermkij
Assuming the 90 days trading horizon Samart Digital Public is expected to generate 14.98 times more return on investment than Asia Sermkij. However, Samart Digital is 14.98 times more volatile than Asia Sermkij Leasing. It trades about 0.12 of its potential returns per unit of risk. Asia Sermkij Leasing is currently generating about 0.02 per unit of risk. If you would invest 3.00 in Samart Digital Public on April 24, 2025 and sell it today you would earn a total of 1.00 from holding Samart Digital Public or generate 33.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samart Digital Public vs. Asia Sermkij Leasing
Performance |
Timeline |
Samart Digital Public |
Asia Sermkij Leasing |
Samart Digital and Asia Sermkij Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samart Digital and Asia Sermkij
The main advantage of trading using opposite Samart Digital and Asia Sermkij positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samart Digital position performs unexpectedly, Asia Sermkij 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 Asia Sermkij will offset losses from the drop in Asia Sermkij's long position.Samart Digital vs. Jay Mart Public | Samart Digital vs. Samart Public | Samart Digital vs. Jasmine International Public | Samart Digital vs. Internet Thailand Public |
Asia Sermkij vs. AP Public | Asia Sermkij vs. Kiatnakin Phatra Bank | Asia Sermkij vs. TISCO Financial Group | Asia Sermkij vs. Carabao Group 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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