Correlation Between SGF Capital and Power Solution
Can any of the company-specific risk be diversified away by investing in both SGF Capital 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 SGF Capital and Power Solution into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SGF Capital Public and Power Solution Technologies, you can compare the effects of market volatilities on SGF Capital 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 SGF Capital with a short position of Power Solution. Check out your portfolio center. Please also check ongoing floating volatility patterns of SGF Capital and Power Solution.
Diversification Opportunities for SGF Capital and Power Solution
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between SGF and Power is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding SGF Capital Public 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 SGF Capital 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 SGF Capital Public 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 SGF Capital i.e., SGF Capital and Power Solution go up and down completely randomly.
Pair Corralation between SGF Capital and Power Solution
Assuming the 90 days trading horizon SGF Capital Public is expected to generate 1.48 times more return on investment than Power Solution. However, SGF Capital is 1.48 times more volatile than Power Solution Technologies. It trades about 0.08 of its potential returns per unit of risk. Power Solution Technologies is currently generating about 0.0 per unit of risk. If you would invest 16.00 in SGF Capital Public on April 24, 2025 and sell it today you would earn a total of 3.00 from holding SGF Capital Public or generate 18.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SGF Capital Public vs. Power Solution Technologies
Performance |
Timeline |
SGF Capital Public |
Power Solution Techn |
SGF Capital and Power Solution Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SGF Capital and Power Solution
The main advantage of trading using opposite SGF Capital and Power Solution positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SGF Capital 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.SGF Capital vs. The Siam Cement | SGF Capital vs. Bangkok Dusit Medical | SGF Capital vs. PTT Public | SGF Capital vs. IVF |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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