Correlation Between Akkhie Prakarn and Alpha Divisions
Can any of the company-specific risk be diversified away by investing in both Akkhie Prakarn and Alpha Divisions 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 Akkhie Prakarn and Alpha Divisions into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Akkhie Prakarn Public and Alpha Divisions PCL, you can compare the effects of market volatilities on Akkhie Prakarn and Alpha Divisions 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 Akkhie Prakarn with a short position of Alpha Divisions. Check out your portfolio center. Please also check ongoing floating volatility patterns of Akkhie Prakarn and Alpha Divisions.
Diversification Opportunities for Akkhie Prakarn and Alpha Divisions
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Akkhie and Alpha is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Akkhie Prakarn Public and Alpha Divisions PCL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alpha Divisions PCL and Akkhie Prakarn 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 Akkhie Prakarn Public are associated (or correlated) with Alpha Divisions. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alpha Divisions PCL has no effect on the direction of Akkhie Prakarn i.e., Akkhie Prakarn and Alpha Divisions go up and down completely randomly.
Pair Corralation between Akkhie Prakarn and Alpha Divisions
Assuming the 90 days trading horizon Akkhie Prakarn Public is expected to generate 1.0 times more return on investment than Alpha Divisions. However, Akkhie Prakarn is 1.0 times more volatile than Alpha Divisions PCL. It trades about 0.08 of its potential returns per unit of risk. Alpha Divisions PCL is currently generating about 0.08 per unit of risk. If you would invest 75.00 in Akkhie Prakarn Public on September 3, 2024 and sell it today you would lose (3.00) from holding Akkhie Prakarn Public or give up 4.0% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Akkhie Prakarn Public vs. Alpha Divisions PCL
Performance |
| Timeline |
| Akkhie Prakarn Public |
| Alpha Divisions PCL |
Akkhie Prakarn and Alpha Divisions Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Akkhie Prakarn and Alpha Divisions
The main advantage of trading using opposite Akkhie Prakarn and Alpha Divisions positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Akkhie Prakarn position performs unexpectedly, Alpha Divisions 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 Alpha Divisions will offset losses from the drop in Alpha Divisions' long position.| Akkhie Prakarn vs. AIRA Factoring Public | Akkhie Prakarn vs. Cho Thavee Public | Akkhie Prakarn vs. G Capital Public | Akkhie Prakarn vs. ARIP Public |
| Alpha Divisions vs. Asia Biomass Public | Alpha Divisions vs. Akkhie Prakarn Public | Alpha Divisions vs. AIRA Factoring Public | Alpha Divisions vs. Infraset 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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