Correlation Between Srisawad Power and Muangthai Capital
Can any of the company-specific risk be diversified away by investing in both Srisawad Power and Muangthai Capital 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 Srisawad Power and Muangthai Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Srisawad Power 1979 and Muangthai Capital Public, you can compare the effects of market volatilities on Srisawad Power and Muangthai Capital 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 Srisawad Power with a short position of Muangthai Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Srisawad Power and Muangthai Capital.
Diversification Opportunities for Srisawad Power and Muangthai Capital
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Srisawad and Muangthai is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Srisawad Power 1979 and Muangthai Capital Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Muangthai Capital Public and Srisawad Power 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 Srisawad Power 1979 are associated (or correlated) with Muangthai Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Muangthai Capital Public has no effect on the direction of Srisawad Power i.e., Srisawad Power and Muangthai Capital go up and down completely randomly.
Pair Corralation between Srisawad Power and Muangthai Capital
Assuming the 90 days trading horizon Srisawad Power 1979 is expected to under-perform the Muangthai Capital. In addition to that, Srisawad Power is 1.4 times more volatile than Muangthai Capital Public. It trades about -0.12 of its total potential returns per unit of risk. Muangthai Capital Public is currently generating about -0.04 per unit of volatility. If you would invest 4,251 in Muangthai Capital Public on April 16, 2025 and sell it today you would lose (326.00) from holding Muangthai Capital Public or give up 7.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Srisawad Power 1979 vs. Muangthai Capital Public
Performance |
Timeline |
Srisawad Power 1979 |
Muangthai Capital Public |
Srisawad Power and Muangthai Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Srisawad Power and Muangthai Capital
The main advantage of trading using opposite Srisawad Power and Muangthai Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Srisawad Power position performs unexpectedly, Muangthai Capital 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 Muangthai Capital will offset losses from the drop in Muangthai Capital's long position.Srisawad Power vs. Muangthai Capital Public | Srisawad Power vs. Carabao Group Public | Srisawad Power vs. TISCO Financial Group | Srisawad Power vs. Minor International Public |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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