Correlation Between Phatra Leasing and Patrangsit Healthcare
Can any of the company-specific risk be diversified away by investing in both Phatra Leasing and Patrangsit Healthcare 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 Phatra Leasing and Patrangsit Healthcare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Phatra Leasing Public and Patrangsit Healthcare Group, you can compare the effects of market volatilities on Phatra Leasing and Patrangsit Healthcare 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 Phatra Leasing with a short position of Patrangsit Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Phatra Leasing and Patrangsit Healthcare.
Diversification Opportunities for Phatra Leasing and Patrangsit Healthcare
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Phatra and Patrangsit is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Phatra Leasing Public and Patrangsit Healthcare Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Patrangsit Healthcare and Phatra Leasing 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 Phatra Leasing Public are associated (or correlated) with Patrangsit Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Patrangsit Healthcare has no effect on the direction of Phatra Leasing i.e., Phatra Leasing and Patrangsit Healthcare go up and down completely randomly.
Pair Corralation between Phatra Leasing and Patrangsit Healthcare
Assuming the 90 days horizon Phatra Leasing Public is expected to under-perform the Patrangsit Healthcare. In addition to that, Phatra Leasing is 2.17 times more volatile than Patrangsit Healthcare Group. It trades about -0.21 of its total potential returns per unit of risk. Patrangsit Healthcare Group is currently generating about -0.12 per unit of volatility. If you would invest 1,550 in Patrangsit Healthcare Group on December 4, 2024 and sell it today you would lose (160.00) from holding Patrangsit Healthcare Group or give up 10.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Phatra Leasing Public vs. Patrangsit Healthcare Group
Performance |
Timeline |
Phatra Leasing Public |
Patrangsit Healthcare |
Phatra Leasing and Patrangsit Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Phatra Leasing and Patrangsit Healthcare
The main advantage of trading using opposite Phatra Leasing and Patrangsit Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Phatra Leasing position performs unexpectedly, Patrangsit Healthcare 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 Patrangsit Healthcare will offset losses from the drop in Patrangsit Healthcare's long position.Phatra Leasing vs. KGI Securities Public | Phatra Leasing vs. Pacific Pipe Public | Phatra Leasing vs. Peoples Garment Public | Phatra Leasing vs. Power Line Engineering |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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