Correlation Between Siamgas and Stars Microelectronics
Can any of the company-specific risk be diversified away by investing in both Siamgas and Stars Microelectronics 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 Siamgas and Stars Microelectronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siamgas and Petrochemicals and Stars Microelectronics Public, you can compare the effects of market volatilities on Siamgas and Stars Microelectronics 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 Siamgas with a short position of Stars Microelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siamgas and Stars Microelectronics.
Diversification Opportunities for Siamgas and Stars Microelectronics
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Siamgas and Stars is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Siamgas and Petrochemicals and Stars Microelectronics Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stars Microelectronics and Siamgas 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 Siamgas and Petrochemicals are associated (or correlated) with Stars Microelectronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stars Microelectronics has no effect on the direction of Siamgas i.e., Siamgas and Stars Microelectronics go up and down completely randomly.
Pair Corralation between Siamgas and Stars Microelectronics
Assuming the 90 days trading horizon Siamgas and Petrochemicals is expected to generate 1.0 times more return on investment than Stars Microelectronics. However, Siamgas and Petrochemicals is 1.0 times less risky than Stars Microelectronics. It trades about 0.05 of its potential returns per unit of risk. Stars Microelectronics Public is currently generating about 0.05 per unit of risk. If you would invest 782.00 in Siamgas and Petrochemicals on September 14, 2024 and sell it today you would lose (77.00) from holding Siamgas and Petrochemicals or give up 9.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Siamgas and Petrochemicals vs. Stars Microelectronics Public
Performance |
Timeline |
Siamgas and Petroche |
Stars Microelectronics |
Siamgas and Stars Microelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siamgas and Stars Microelectronics
The main advantage of trading using opposite Siamgas and Stars Microelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siamgas position performs unexpectedly, Stars Microelectronics 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 Stars Microelectronics will offset losses from the drop in Stars Microelectronics' long position.Siamgas vs. Bangchak Public | Siamgas vs. IRPC Public | Siamgas vs. PTT Exploration and | Siamgas vs. Star Petroleum Refining |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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