Correlation Between Siam Commercial and Applicad Public
Can any of the company-specific risk be diversified away by investing in both Siam Commercial and Applicad Public 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 Commercial and Applicad Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Siam Commercial and Applicad Public, you can compare the effects of market volatilities on Siam Commercial and Applicad Public 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 Commercial with a short position of Applicad Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siam Commercial and Applicad Public.
Diversification Opportunities for Siam Commercial and Applicad Public
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Siam and Applicad is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding The Siam Commercial and Applicad Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applicad Public and Siam Commercial 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 Commercial are associated (or correlated) with Applicad Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applicad Public has no effect on the direction of Siam Commercial i.e., Siam Commercial and Applicad Public go up and down completely randomly.
Pair Corralation between Siam Commercial and Applicad Public
Assuming the 90 days trading horizon The Siam Commercial is expected to under-perform the Applicad Public. But the stock apears to be less risky and, when comparing its historical volatility, The Siam Commercial is 5.38 times less risky than Applicad Public. The stock trades about -0.03 of its potential returns per unit of risk. The Applicad Public is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 163.00 in Applicad Public on April 24, 2025 and sell it today you would earn a total of 105.00 from holding Applicad Public or generate 64.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Siam Commercial vs. Applicad Public
Performance |
Timeline |
Siam Commercial |
Applicad Public |
Siam Commercial and Applicad Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siam Commercial and Applicad Public
The main advantage of trading using opposite Siam Commercial and Applicad Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siam Commercial position performs unexpectedly, Applicad Public 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 Applicad Public will offset losses from the drop in Applicad Public's long position.Siam Commercial vs. The Siam Cement | Siam Commercial vs. Krung Thai Bank | Siam Commercial vs. Kasikornbank Public | Siam Commercial vs. CP ALL 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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