Correlation Between Erawan and Power Solution
Can any of the company-specific risk be diversified away by investing in both Erawan and Power Solution 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 Erawan and Power Solution into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Erawan Group and Power Solution Technologies, you can compare the effects of market volatilities on Erawan and Power Solution 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 Erawan with a short position of Power Solution. Check out your portfolio center. Please also check ongoing floating volatility patterns of Erawan and Power Solution.
Diversification Opportunities for Erawan and Power Solution
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Erawan and Power is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding The Erawan Group and Power Solution Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Solution Techn and Erawan 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 The Erawan Group are associated (or correlated) with Power Solution. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Solution Techn has no effect on the direction of Erawan i.e., Erawan and Power Solution go up and down completely randomly.
Pair Corralation between Erawan and Power Solution
Assuming the 90 days trading horizon The Erawan Group is expected to under-perform the Power Solution. In addition to that, Erawan is 1.33 times more volatile than Power Solution Technologies. It trades about -0.1 of its total potential returns per unit of risk. Power Solution Technologies is currently generating about -0.04 per unit of volatility. If you would invest 50.00 in Power Solution Technologies on December 23, 2024 and sell it today you would lose (3.00) from holding Power Solution Technologies or give up 6.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Erawan Group vs. Power Solution Technologies
Performance |
Timeline |
Erawan Group |
Power Solution Techn |
Erawan and Power Solution Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Erawan and Power Solution
The main advantage of trading using opposite Erawan and Power Solution positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Erawan position performs unexpectedly, Power Solution 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 Power Solution will offset losses from the drop in Power Solution's long position.Erawan vs. Central Plaza Hotel | Erawan vs. Minor International Public | Erawan vs. Central Pattana Public | Erawan vs. CP ALL Public |
Power Solution vs. Super Energy | Power Solution vs. WHA Public | Power Solution vs. Siri Prime Office | Power Solution vs. Ananda Development 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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