Correlation Between Thaitheparos Public and Haad Thip
Can any of the company-specific risk be diversified away by investing in both Thaitheparos Public and Haad Thip 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 Thaitheparos Public and Haad Thip into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Thaitheparos Public and Haad Thip Public, you can compare the effects of market volatilities on Thaitheparos Public and Haad Thip 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 Thaitheparos Public with a short position of Haad Thip. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thaitheparos Public and Haad Thip.
Diversification Opportunities for Thaitheparos Public and Haad Thip
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Thaitheparos and Haad is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Thaitheparos Public and Haad Thip Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Haad Thip Public and Thaitheparos Public 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 Thaitheparos Public are associated (or correlated) with Haad Thip. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Haad Thip Public has no effect on the direction of Thaitheparos Public i.e., Thaitheparos Public and Haad Thip go up and down completely randomly.
Pair Corralation between Thaitheparos Public and Haad Thip
Assuming the 90 days trading horizon Thaitheparos Public is expected to under-perform the Haad Thip. But the stock apears to be less risky and, when comparing its historical volatility, Thaitheparos Public is 2.61 times less risky than Haad Thip. The stock trades about -0.2 of its potential returns per unit of risk. The Haad Thip Public is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 1,620 in Haad Thip Public on September 15, 2024 and sell it today you would lose (10.00) from holding Haad Thip Public or give up 0.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Thaitheparos Public vs. Haad Thip Public
Performance |
Timeline |
Thaitheparos Public |
Haad Thip Public |
Thaitheparos Public and Haad Thip Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Thaitheparos Public and Haad Thip
The main advantage of trading using opposite Thaitheparos Public and Haad Thip positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thaitheparos Public position performs unexpectedly, Haad Thip 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 Haad Thip will offset losses from the drop in Haad Thip's long position.Thaitheparos Public vs. Thai Union Group | Thaitheparos Public vs. Thai Vegetable Oil | Thaitheparos Public vs. Ichitan Group Public | Thaitheparos Public vs. Haad Thip 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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