Correlation Between Bangkok Sheet and TMC Industrial
Can any of the company-specific risk be diversified away by investing in both Bangkok Sheet and TMC Industrial 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 Bangkok Sheet and TMC Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bangkok Sheet Metal and TMC Industrial Public, you can compare the effects of market volatilities on Bangkok Sheet and TMC Industrial 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 Bangkok Sheet with a short position of TMC Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bangkok Sheet and TMC Industrial.
Diversification Opportunities for Bangkok Sheet and TMC Industrial
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bangkok and TMC is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Bangkok Sheet Metal and TMC Industrial Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TMC Industrial Public and Bangkok Sheet 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 Bangkok Sheet Metal are associated (or correlated) with TMC Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TMC Industrial Public has no effect on the direction of Bangkok Sheet i.e., Bangkok Sheet and TMC Industrial go up and down completely randomly.
Pair Corralation between Bangkok Sheet and TMC Industrial
Assuming the 90 days horizon Bangkok Sheet is expected to generate 1.06 times less return on investment than TMC Industrial. But when comparing it to its historical volatility, Bangkok Sheet Metal is 5.44 times less risky than TMC Industrial. It trades about 0.14 of its potential returns per unit of risk. TMC Industrial Public is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 110.00 in TMC Industrial Public on September 15, 2024 and sell it today you would earn a total of 2.00 from holding TMC Industrial Public or generate 1.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bangkok Sheet Metal vs. TMC Industrial Public
Performance |
Timeline |
Bangkok Sheet Metal |
TMC Industrial Public |
Bangkok Sheet and TMC Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bangkok Sheet and TMC Industrial
The main advantage of trading using opposite Bangkok Sheet and TMC Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bangkok Sheet position performs unexpectedly, TMC Industrial 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 TMC Industrial will offset losses from the drop in TMC Industrial's long position.Bangkok Sheet vs. Chewathai Public | Bangkok Sheet vs. AIRA Factoring Public | Bangkok Sheet vs. Cho Thavee Public | Bangkok Sheet vs. G Capital 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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