Correlation Between General Engineering and Haad Thip
Can any of the company-specific risk be diversified away by investing in both General Engineering and Haad Thip 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 General Engineering and Haad Thip into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Engineering Public and Haad Thip Public, you can compare the effects of market volatilities on General Engineering and Haad Thip 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 General Engineering with a short position of Haad Thip. Check out your portfolio center. Please also check ongoing floating volatility patterns of General Engineering and Haad Thip.
Diversification Opportunities for General Engineering and Haad Thip
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between General and Haad is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding General Engineering Public and Haad Thip Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Haad Thip Public and General Engineering 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 General Engineering Public are associated (or correlated) with Haad Thip. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Haad Thip Public has no effect on the direction of General Engineering i.e., General Engineering and Haad Thip go up and down completely randomly.
Pair Corralation between General Engineering and Haad Thip
Assuming the 90 days trading horizon General Engineering Public is expected to under-perform the Haad Thip. In addition to that, General Engineering is 15.01 times more volatile than Haad Thip Public. It trades about -0.04 of its total potential returns per unit of risk. Haad Thip Public is currently generating about 0.06 per unit of volatility. If you would invest 1,620 in Haad Thip Public on December 21, 2024 and sell it today you would earn a total of 40.00 from holding Haad Thip Public or generate 2.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Engineering Public vs. Haad Thip Public
Performance |
Timeline |
General Engineering |
Haad Thip Public |
General Engineering and Haad Thip Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with General Engineering and Haad Thip
The main advantage of trading using opposite General Engineering and Haad Thip positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if General Engineering position performs unexpectedly, Haad Thip 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 Haad Thip will offset losses from the drop in Haad Thip's long position.General Engineering vs. Dcon Products Public | General Engineering vs. Eastern Star Real | General Engineering vs. Chonburi Concrete Product | General Engineering vs. Eastern Polymer Group |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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