Correlation Between Dhouse Pattana and Hana Microelectronics
Can any of the company-specific risk be diversified away by investing in both Dhouse Pattana and Hana Microelectronics 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 Dhouse Pattana and Hana Microelectronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dhouse Pattana Public and Hana Microelectronics Public, you can compare the effects of market volatilities on Dhouse Pattana and Hana Microelectronics 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 Dhouse Pattana with a short position of Hana Microelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dhouse Pattana and Hana Microelectronics.
Diversification Opportunities for Dhouse Pattana and Hana Microelectronics
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dhouse and Hana is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Dhouse Pattana Public and Hana Microelectronics Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hana Microelectronics and Dhouse Pattana 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 Dhouse Pattana Public are associated (or correlated) with Hana Microelectronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hana Microelectronics has no effect on the direction of Dhouse Pattana i.e., Dhouse Pattana and Hana Microelectronics go up and down completely randomly.
Pair Corralation between Dhouse Pattana and Hana Microelectronics
Assuming the 90 days trading horizon Dhouse Pattana Public is expected to generate 0.97 times more return on investment than Hana Microelectronics. However, Dhouse Pattana Public is 1.03 times less risky than Hana Microelectronics. It trades about 0.0 of its potential returns per unit of risk. Hana Microelectronics Public is currently generating about -0.05 per unit of risk. If you would invest 75.00 in Dhouse Pattana Public on October 5, 2024 and sell it today you would lose (14.00) from holding Dhouse Pattana Public or give up 18.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dhouse Pattana Public vs. Hana Microelectronics Public
Performance |
Timeline |
Dhouse Pattana Public |
Hana Microelectronics |
Dhouse Pattana and Hana Microelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dhouse Pattana and Hana Microelectronics
The main advantage of trading using opposite Dhouse Pattana and Hana Microelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dhouse Pattana position performs unexpectedly, Hana Microelectronics 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 Hana Microelectronics will offset losses from the drop in Hana Microelectronics' long position.Dhouse Pattana vs. Jakpaisan Estate Public | Dhouse Pattana vs. Dimet Public | Dhouse Pattana vs. Comanche International Public | Dhouse Pattana vs. Salee Colour 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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