Correlation Between Cho Thavee and Akkhie Prakarn
Can any of the company-specific risk be diversified away by investing in both Cho Thavee and Akkhie Prakarn 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 Cho Thavee and Akkhie Prakarn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cho Thavee Public and Akkhie Prakarn Public, you can compare the effects of market volatilities on Cho Thavee and Akkhie Prakarn 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 Cho Thavee with a short position of Akkhie Prakarn. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cho Thavee and Akkhie Prakarn.
Diversification Opportunities for Cho Thavee and Akkhie Prakarn
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Cho and Akkhie is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Cho Thavee Public and Akkhie Prakarn Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Akkhie Prakarn Public and Cho Thavee 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 Cho Thavee Public are associated (or correlated) with Akkhie Prakarn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Akkhie Prakarn Public has no effect on the direction of Cho Thavee i.e., Cho Thavee and Akkhie Prakarn go up and down completely randomly.
Pair Corralation between Cho Thavee and Akkhie Prakarn
Assuming the 90 days trading horizon Cho Thavee Public is expected to generate 3.49 times more return on investment than Akkhie Prakarn. However, Cho Thavee is 3.49 times more volatile than Akkhie Prakarn Public. It trades about 0.03 of its potential returns per unit of risk. Akkhie Prakarn Public is currently generating about -0.26 per unit of risk. If you would invest 6.00 in Cho Thavee Public on September 14, 2024 and sell it today you would lose (1.00) from holding Cho Thavee Public or give up 16.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Cho Thavee Public vs. Akkhie Prakarn Public
Performance |
Timeline |
Cho Thavee Public |
Akkhie Prakarn Public |
Cho Thavee and Akkhie Prakarn Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cho Thavee and Akkhie Prakarn
The main advantage of trading using opposite Cho Thavee and Akkhie Prakarn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cho Thavee position performs unexpectedly, Akkhie Prakarn 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 Akkhie Prakarn will offset losses from the drop in Akkhie Prakarn's long position.Cho Thavee vs. Chewathai Public | Cho Thavee vs. Filter Vision Public | Cho Thavee vs. G Capital Public | Cho Thavee vs. Demco Public |
Akkhie Prakarn vs. AIRA Factoring Public | Akkhie Prakarn vs. Cho Thavee Public | Akkhie Prakarn vs. G Capital Public | Akkhie Prakarn vs. ARIP 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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