Correlation Between Praram 9 and Rojana Industrial
Can any of the company-specific risk be diversified away by investing in both Praram 9 and Rojana Industrial 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 Praram 9 and Rojana Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Praram 9 Hospital and Rojana Industrial Park, you can compare the effects of market volatilities on Praram 9 and Rojana Industrial 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 Praram 9 with a short position of Rojana Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Praram 9 and Rojana Industrial.
Diversification Opportunities for Praram 9 and Rojana Industrial
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Praram and Rojana is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Praram 9 Hospital and Rojana Industrial Park in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rojana Industrial Park and Praram 9 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 Praram 9 Hospital are associated (or correlated) with Rojana Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rojana Industrial Park has no effect on the direction of Praram 9 i.e., Praram 9 and Rojana Industrial go up and down completely randomly.
Pair Corralation between Praram 9 and Rojana Industrial
Assuming the 90 days trading horizon Praram 9 Hospital is expected to generate 0.89 times more return on investment than Rojana Industrial. However, Praram 9 Hospital is 1.12 times less risky than Rojana Industrial. It trades about 0.06 of its potential returns per unit of risk. Rojana Industrial Park is currently generating about 0.02 per unit of risk. If you would invest 1,619 in Praram 9 Hospital on September 2, 2024 and sell it today you would earn a total of 956.00 from holding Praram 9 Hospital or generate 59.05% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Praram 9 Hospital vs. Rojana Industrial Park
Performance |
| Timeline |
| Praram 9 Hospital |
| Rojana Industrial Park |
Praram 9 and Rojana Industrial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Praram 9 and Rojana Industrial
The main advantage of trading using opposite Praram 9 and Rojana Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Praram 9 position performs unexpectedly, Rojana Industrial 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 Rojana Industrial will offset losses from the drop in Rojana Industrial's long position.| Praram 9 vs. Bangkok Dusit Medical | Praram 9 vs. Bumrungrad Hospital Public | Praram 9 vs. Bangkok Chain Hospital | Praram 9 vs. Rajthanee Hospital Public |
| Rojana Industrial vs. Energy Absolute Public | Rojana Industrial vs. CP ALL Public | Rojana Industrial vs. PTT 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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