Correlation Between Bank of Ayudhya and Thai Coating
Can any of the company-specific risk be diversified away by investing in both Bank of Ayudhya and Thai Coating 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 Bank of Ayudhya and Thai Coating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of Ayudhya and Thai Coating Industrial, you can compare the effects of market volatilities on Bank of Ayudhya and Thai Coating 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 Bank of Ayudhya with a short position of Thai Coating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Ayudhya and Thai Coating.
Diversification Opportunities for Bank of Ayudhya and Thai Coating
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Thai is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Ayudhya and Thai Coating Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thai Coating Industrial and Bank of Ayudhya 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 Bank of Ayudhya are associated (or correlated) with Thai Coating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thai Coating Industrial has no effect on the direction of Bank of Ayudhya i.e., Bank of Ayudhya and Thai Coating go up and down completely randomly.
Pair Corralation between Bank of Ayudhya and Thai Coating
Assuming the 90 days trading horizon Bank of Ayudhya is expected to under-perform the Thai Coating. But the stock apears to be less risky and, when comparing its historical volatility, Bank of Ayudhya is 2.44 times less risky than Thai Coating. The stock trades about -0.02 of its potential returns per unit of risk. The Thai Coating Industrial is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 2,664 in Thai Coating Industrial on September 3, 2024 and sell it today you would earn a total of 86.00 from holding Thai Coating Industrial or generate 3.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 99.59% |
Values | Daily Returns |
Bank of Ayudhya vs. Thai Coating Industrial
Performance |
Timeline |
Bank of Ayudhya |
Thai Coating Industrial |
Bank of Ayudhya and Thai Coating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Ayudhya and Thai Coating
The main advantage of trading using opposite Bank of Ayudhya and Thai Coating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Ayudhya position performs unexpectedly, Thai Coating 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 Coating will offset losses from the drop in Thai Coating's long position.Bank of Ayudhya vs. Thai Steel Cable | Bank of Ayudhya vs. Tropical Canning Public | Bank of Ayudhya vs. RB Food Supply | Bank of Ayudhya vs. Eureka Design Public |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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