Correlation Between TKrungthai Industries and TCM Public
Can any of the company-specific risk be diversified away by investing in both TKrungthai Industries and TCM 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 TKrungthai Industries and TCM Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TKrungthai Industries Public and TCM Public, you can compare the effects of market volatilities on TKrungthai Industries and TCM 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 TKrungthai Industries with a short position of TCM Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of TKrungthai Industries and TCM Public.
Diversification Opportunities for TKrungthai Industries and TCM Public
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between TKrungthai and TCM is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding TKrungthai Industries Public and TCM Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TCM Public and TKrungthai Industries 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 TKrungthai Industries Public are associated (or correlated) with TCM Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TCM Public has no effect on the direction of TKrungthai Industries i.e., TKrungthai Industries and TCM Public go up and down completely randomly.
Pair Corralation between TKrungthai Industries and TCM Public
Assuming the 90 days trading horizon TKrungthai Industries Public is expected to under-perform the TCM Public. But the stock apears to be less risky and, when comparing its historical volatility, TKrungthai Industries Public is 1.6 times less risky than TCM Public. The stock trades about -0.19 of its potential returns per unit of risk. The TCM Public is currently generating about -0.09 of returns per unit of risk over similar time horizon. If you would invest 66.00 in TCM Public on December 30, 2024 and sell it today you would lose (20.00) from holding TCM Public or give up 30.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
TKrungthai Industries Public vs. TCM Public
Performance |
Timeline |
TKrungthai Industries |
TCM Public |
TKrungthai Industries and TCM Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TKrungthai Industries and TCM Public
The main advantage of trading using opposite TKrungthai Industries and TCM Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TKrungthai Industries position performs unexpectedly, TCM 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 TCM Public will offset losses from the drop in TCM Public's long position.TKrungthai Industries vs. Thai Nam Plastic | TKrungthai Industries vs. TCM Public | TKrungthai Industries vs. S Pack Print | TKrungthai Industries vs. Thai Reinsurance 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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