Correlation Between Hydrotek Public and Panjawattana Plastic
Can any of the company-specific risk be diversified away by investing in both Hydrotek Public and Panjawattana Plastic 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 Hydrotek Public and Panjawattana Plastic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hydrotek Public and Panjawattana Plastic Public, you can compare the effects of market volatilities on Hydrotek Public and Panjawattana Plastic 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 Hydrotek Public with a short position of Panjawattana Plastic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hydrotek Public and Panjawattana Plastic.
Diversification Opportunities for Hydrotek Public and Panjawattana Plastic
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hydrotek and Panjawattana is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Hydrotek Public and Panjawattana Plastic Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Panjawattana Plastic and Hydrotek Public 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 Hydrotek Public are associated (or correlated) with Panjawattana Plastic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Panjawattana Plastic has no effect on the direction of Hydrotek Public i.e., Hydrotek Public and Panjawattana Plastic go up and down completely randomly.
Pair Corralation between Hydrotek Public and Panjawattana Plastic
Assuming the 90 days trading horizon Hydrotek Public is expected to under-perform the Panjawattana Plastic. In addition to that, Hydrotek Public is 6.0 times more volatile than Panjawattana Plastic Public. It trades about -0.12 of its total potential returns per unit of risk. Panjawattana Plastic Public is currently generating about -0.19 per unit of volatility. If you would invest 276.00 in Panjawattana Plastic Public on September 14, 2024 and sell it today you would lose (46.00) from holding Panjawattana Plastic Public or give up 16.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Hydrotek Public vs. Panjawattana Plastic Public
Performance |
Timeline |
Hydrotek Public |
Panjawattana Plastic |
Hydrotek Public and Panjawattana Plastic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hydrotek Public and Panjawattana Plastic
The main advantage of trading using opposite Hydrotek Public and Panjawattana Plastic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hydrotek Public position performs unexpectedly, Panjawattana Plastic 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 Panjawattana Plastic will offset losses from the drop in Panjawattana Plastic's long position.Hydrotek Public vs. Internet Thailand Public | Hydrotek Public vs. Cho Thavee Public | Hydrotek Public vs. E for L | Hydrotek Public vs. Grande Asset Hotels |
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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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