Correlation Between Eastern Commercial and Thai Steel
Can any of the company-specific risk be diversified away by investing in both Eastern Commercial 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 Eastern Commercial and Thai Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eastern Commercial Leasing and Thai Steel Cable, you can compare the effects of market volatilities on Eastern Commercial 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 Eastern Commercial with a short position of Thai Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eastern Commercial and Thai Steel.
Diversification Opportunities for Eastern Commercial and Thai Steel
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Eastern and Thai is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Eastern Commercial 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 Eastern Commercial 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 Eastern Commercial 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 Eastern Commercial i.e., Eastern Commercial and Thai Steel go up and down completely randomly.
Pair Corralation between Eastern Commercial and Thai Steel
Assuming the 90 days trading horizon Eastern Commercial Leasing is expected to generate 2.06 times more return on investment than Thai Steel. However, Eastern Commercial is 2.06 times more volatile than Thai Steel Cable. It trades about -0.05 of its potential returns per unit of risk. Thai Steel Cable is currently generating about -0.15 per unit of risk. If you would invest 95.00 in Eastern Commercial Leasing on December 29, 2024 and sell it today you would lose (12.00) from holding Eastern Commercial Leasing or give up 12.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Eastern Commercial Leasing vs. Thai Steel Cable
Performance |
Timeline |
Eastern Commercial |
Thai Steel Cable |
Eastern Commercial and Thai Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eastern Commercial and Thai Steel
The main advantage of trading using opposite Eastern Commercial and Thai Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eastern Commercial 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.Eastern Commercial vs. Chai Watana Tannery | Eastern Commercial vs. EMC Public | Eastern Commercial vs. Asia Plus Group | Eastern Commercial vs. Globlex Holding Management |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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