Correlation Between Sabina Public and Central Pattana
Can any of the company-specific risk be diversified away by investing in both Sabina Public and Central Pattana 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 Sabina Public and Central Pattana into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sabina Public and Central Pattana Public, you can compare the effects of market volatilities on Sabina Public and Central Pattana 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 Sabina Public with a short position of Central Pattana. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sabina Public and Central Pattana.
Diversification Opportunities for Sabina Public and Central Pattana
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sabina and Central is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Sabina Public and Central Pattana Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Central Pattana Public and Sabina 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 Sabina Public are associated (or correlated) with Central Pattana. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Central Pattana Public has no effect on the direction of Sabina Public i.e., Sabina Public and Central Pattana go up and down completely randomly.
Pair Corralation between Sabina Public and Central Pattana
Assuming the 90 days trading horizon Sabina Public is expected to generate 31.3 times more return on investment than Central Pattana. However, Sabina Public is 31.3 times more volatile than Central Pattana Public. It trades about 0.04 of its potential returns per unit of risk. Central Pattana Public is currently generating about -0.01 per unit of risk. If you would invest 2,098 in Sabina Public on September 5, 2024 and sell it today you would lose (18.00) from holding Sabina Public or give up 0.86% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sabina Public vs. Central Pattana Public
Performance |
| Timeline |
| Sabina Public |
| Central Pattana Public |
Sabina Public and Central Pattana Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sabina Public and Central Pattana
The main advantage of trading using opposite Sabina Public and Central Pattana positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sabina Public position performs unexpectedly, Central Pattana 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 Central Pattana will offset losses from the drop in Central Pattana's long position.| Sabina Public vs. Central Pattana Public | Sabina Public vs. CP ALL Public | Sabina Public vs. Bangkok Dusit Medical | Sabina Public vs. Airports of Thailand |
| Central Pattana vs. CP ALL Public | Central Pattana vs. Bangkok Dusit Medical | Central Pattana vs. Airports of Thailand | Central Pattana vs. Advanced Info Service |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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