Correlation Between Siam Cement and Stars Microelectronics
Can any of the company-specific risk be diversified away by investing in both Siam Cement 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 Siam Cement and Stars Microelectronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Siam Cement and Stars Microelectronics Public, you can compare the effects of market volatilities on Siam Cement 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 Siam Cement with a short position of Stars Microelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siam Cement and Stars Microelectronics.
Diversification Opportunities for Siam Cement and Stars Microelectronics
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Siam and Stars is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding The Siam Cement and Stars Microelectronics Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stars Microelectronics and Siam Cement 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 Siam Cement 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 Siam Cement i.e., Siam Cement and Stars Microelectronics go up and down completely randomly.
Pair Corralation between Siam Cement and Stars Microelectronics
Assuming the 90 days trading horizon The Siam Cement is expected to generate 0.76 times more return on investment than Stars Microelectronics. However, The Siam Cement is 1.31 times less risky than Stars Microelectronics. It trades about -0.27 of its potential returns per unit of risk. Stars Microelectronics Public is currently generating about -0.24 per unit of risk. If you would invest 21,100 in The Siam Cement on October 20, 2024 and sell it today you would lose (5,500) from holding The Siam Cement or give up 26.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
The Siam Cement vs. Stars Microelectronics Public
Performance |
Timeline |
Siam Cement |
Stars Microelectronics |
Siam Cement and Stars Microelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siam Cement and Stars Microelectronics
The main advantage of trading using opposite Siam Cement and Stars Microelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siam Cement 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.Siam Cement vs. Bangkok Union Insurance | Siam Cement vs. Information and Communication | Siam Cement vs. Thai Life Insurance | Siam Cement vs. Porn Prom Metal |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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