Correlation Between Charoen Pokphand and Bank of Ayudhya
Can any of the company-specific risk be diversified away by investing in both Charoen Pokphand and Bank of Ayudhya 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 Charoen Pokphand and Bank of Ayudhya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Charoen Pokphand Foods and Bank of Ayudhya, you can compare the effects of market volatilities on Charoen Pokphand and Bank of Ayudhya 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 Charoen Pokphand with a short position of Bank of Ayudhya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Charoen Pokphand and Bank of Ayudhya.
Diversification Opportunities for Charoen Pokphand and Bank of Ayudhya
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Charoen and Bank is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Charoen Pokphand Foods and Bank of Ayudhya in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of Ayudhya and Charoen Pokphand 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 Charoen Pokphand Foods are associated (or correlated) with Bank of Ayudhya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of Ayudhya has no effect on the direction of Charoen Pokphand i.e., Charoen Pokphand and Bank of Ayudhya go up and down completely randomly.
Pair Corralation between Charoen Pokphand and Bank of Ayudhya
Assuming the 90 days trading horizon Charoen Pokphand Foods is expected to under-perform the Bank of Ayudhya. But the stock apears to be less risky and, when comparing its historical volatility, Charoen Pokphand Foods is 1.27 times less risky than Bank of Ayudhya. The stock trades about -0.05 of its potential returns per unit of risk. The Bank of Ayudhya is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 2,445 in Bank of Ayudhya on September 3, 2024 and sell it today you would earn a total of 55.00 from holding Bank of Ayudhya or generate 2.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Charoen Pokphand Foods vs. Bank of Ayudhya
Performance |
Timeline |
Charoen Pokphand Foods |
Bank of Ayudhya |
Charoen Pokphand and Bank of Ayudhya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Charoen Pokphand and Bank of Ayudhya
The main advantage of trading using opposite Charoen Pokphand and Bank of Ayudhya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Charoen Pokphand position performs unexpectedly, Bank of Ayudhya 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 Bank of Ayudhya will offset losses from the drop in Bank of Ayudhya's long position.Charoen Pokphand vs. CP ALL Public | Charoen Pokphand vs. The Siam Cement | Charoen Pokphand vs. OSOTSPA PCL NVDR | Charoen Pokphand vs. The Siam Commercial |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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