Correlation Between Asia Sermkij and Thai Steel
Can any of the company-specific risk be diversified away by investing in both Asia Sermkij and Thai Steel 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 Thai Steel 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 Thai Steel Cable, you can compare the effects of market volatilities on Asia Sermkij and Thai Steel 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 Thai Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asia Sermkij and Thai Steel.
Diversification Opportunities for Asia Sermkij and Thai Steel
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Asia and Thai is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Asia Sermkij Leasing and Thai Steel Cable in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thai Steel Cable 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 Thai Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thai Steel Cable has no effect on the direction of Asia Sermkij i.e., Asia Sermkij and Thai Steel go up and down completely randomly.
Pair Corralation between Asia Sermkij and Thai Steel
Assuming the 90 days trading horizon Asia Sermkij Leasing is expected to under-perform the Thai Steel. In addition to that, Asia Sermkij is 3.13 times more volatile than Thai Steel Cable. It trades about -0.14 of its total potential returns per unit of risk. Thai Steel Cable is currently generating about 0.07 per unit of volatility. If you would invest 1,430 in Thai Steel Cable on September 4, 2024 and sell it today you would earn a total of 50.00 from holding Thai Steel Cable or generate 3.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Asia Sermkij Leasing vs. Thai Steel Cable
Performance |
| Timeline |
| Asia Sermkij Leasing |
| Thai Steel Cable |
Asia Sermkij and Thai Steel Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Asia Sermkij and Thai Steel
The main advantage of trading using opposite Asia Sermkij and Thai Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asia Sermkij position performs unexpectedly, Thai Steel 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 Thai Steel will offset losses from the drop in Thai Steel's long position.| Asia Sermkij vs. Thai Steel Cable | Asia Sermkij vs. Tropical Canning Public | Asia Sermkij vs. RB Food Supply | Asia Sermkij vs. Eureka Design Public |
| Thai Steel vs. United Paper Public | Thai Steel vs. TMT Steel Public | Thai Steel vs. Thai Stanley Electric | Thai Steel vs. Inoue Rubber 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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