Correlation Between AJ Advance and Ekarat Engineering
Can any of the company-specific risk be diversified away by investing in both AJ Advance and Ekarat Engineering 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 AJ Advance and Ekarat Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AJ Advance Technology and Ekarat Engineering Public, you can compare the effects of market volatilities on AJ Advance and Ekarat Engineering 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 AJ Advance with a short position of Ekarat Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of AJ Advance and Ekarat Engineering.
Diversification Opportunities for AJ Advance and Ekarat Engineering
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between AJA and Ekarat is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding AJ Advance Technology and Ekarat Engineering Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ekarat Engineering Public and AJ Advance 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 AJ Advance Technology are associated (or correlated) with Ekarat Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ekarat Engineering Public has no effect on the direction of AJ Advance i.e., AJ Advance and Ekarat Engineering go up and down completely randomly.
Pair Corralation between AJ Advance and Ekarat Engineering
Assuming the 90 days trading horizon AJ Advance is expected to generate 19.79 times less return on investment than Ekarat Engineering. In addition to that, AJ Advance is 4.02 times more volatile than Ekarat Engineering Public. It trades about 0.0 of its total potential returns per unit of risk. Ekarat Engineering Public is currently generating about 0.05 per unit of volatility. If you would invest 93.00 in Ekarat Engineering Public on September 8, 2024 and sell it today you would earn a total of 3.00 from holding Ekarat Engineering Public or generate 3.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
AJ Advance Technology vs. Ekarat Engineering Public
Performance |
Timeline |
AJ Advance Technology |
Ekarat Engineering Public |
AJ Advance and Ekarat Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AJ Advance and Ekarat Engineering
The main advantage of trading using opposite AJ Advance and Ekarat Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AJ Advance position performs unexpectedly, Ekarat Engineering 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 Ekarat Engineering will offset losses from the drop in Ekarat Engineering's long position.AJ Advance vs. Hwa Fong Rubber | AJ Advance vs. POSCO Thainox Public | AJ Advance vs. Ichitan Group Public | AJ Advance vs. Eternal Energy 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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