Correlation Between Filter Vision and Akkhie Prakarn
Can any of the company-specific risk be diversified away by investing in both Filter Vision 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 Filter Vision and Akkhie Prakarn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Filter Vision Public and Akkhie Prakarn Public, you can compare the effects of market volatilities on Filter Vision 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 Filter Vision with a short position of Akkhie Prakarn. Check out your portfolio center. Please also check ongoing floating volatility patterns of Filter Vision and Akkhie Prakarn.
Diversification Opportunities for Filter Vision and Akkhie Prakarn
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Filter and Akkhie is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Filter Vision 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 Filter Vision 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 Filter Vision 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 Filter Vision i.e., Filter Vision and Akkhie Prakarn go up and down completely randomly.
Pair Corralation between Filter Vision and Akkhie Prakarn
Assuming the 90 days trading horizon Filter Vision Public is expected to under-perform the Akkhie Prakarn. But the stock apears to be less risky and, when comparing its historical volatility, Filter Vision Public is 77.38 times less risky than Akkhie Prakarn. The stock trades about -0.02 of its potential returns per unit of risk. The Akkhie Prakarn Public is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 65.00 in Akkhie Prakarn Public on August 31, 2024 and sell it today you would earn a total of 7.00 from holding Akkhie Prakarn Public or generate 10.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Filter Vision Public vs. Akkhie Prakarn Public
Performance |
Timeline |
Filter Vision Public |
Akkhie Prakarn Public |
Filter Vision and Akkhie Prakarn Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Filter Vision and Akkhie Prakarn
The main advantage of trading using opposite Filter Vision and Akkhie Prakarn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Filter Vision 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.Filter Vision vs. G Capital Public | Filter Vision vs. Cho Thavee Public | Filter Vision vs. E for L | Filter Vision vs. East Coast Furnitech |
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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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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