Correlation Between Asia Sermkij and Newcity Public
Can any of the company-specific risk be diversified away by investing in both Asia Sermkij and Newcity Public 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 Newcity Public 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 Newcity Public, you can compare the effects of market volatilities on Asia Sermkij and Newcity Public 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 Newcity Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asia Sermkij and Newcity Public.
Diversification Opportunities for Asia Sermkij and Newcity Public
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Asia and Newcity is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Asia Sermkij Leasing and Newcity Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Newcity Public 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 Newcity Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Newcity Public has no effect on the direction of Asia Sermkij i.e., Asia Sermkij and Newcity Public go up and down completely randomly.
Pair Corralation between Asia Sermkij and Newcity Public
Assuming the 90 days trading horizon Asia Sermkij Leasing is expected to under-perform the Newcity Public. But the stock apears to be less risky and, when comparing its historical volatility, Asia Sermkij Leasing is 1.61 times less risky than Newcity Public. The stock trades about -0.19 of its potential returns per unit of risk. The Newcity Public is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 234.00 in Newcity Public on December 28, 2024 and sell it today you would earn a total of 6.00 from holding Newcity Public or generate 2.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Asia Sermkij Leasing vs. Newcity Public
Performance |
Timeline |
Asia Sermkij Leasing |
Newcity Public |
Asia Sermkij and Newcity Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asia Sermkij and Newcity Public
The main advantage of trading using opposite Asia Sermkij and Newcity Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asia Sermkij position performs unexpectedly, Newcity Public 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 Newcity Public will offset losses from the drop in Newcity Public's long position.Asia Sermkij vs. Ratchthani Leasing Public | Asia Sermkij vs. Srisawad Power 1979 | Asia Sermkij vs. SiS Distribution Public | Asia Sermkij vs. JMT Network Services |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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