Correlation Between Bangkok Commercial and Thai Industrial
Can any of the company-specific risk be diversified away by investing in both Bangkok Commercial and Thai 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 Commercial and Thai Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bangkok Commercial Asset and Thai Industrial, you can compare the effects of market volatilities on Bangkok Commercial and Thai 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 Commercial with a short position of Thai Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bangkok Commercial and Thai Industrial.
Diversification Opportunities for Bangkok Commercial and Thai Industrial
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bangkok and Thai is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Bangkok Commercial Asset and Thai Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thai Industrial and Bangkok 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 Bangkok Commercial Asset are associated (or correlated) with Thai Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thai Industrial has no effect on the direction of Bangkok Commercial i.e., Bangkok Commercial and Thai Industrial go up and down completely randomly.
Pair Corralation between Bangkok Commercial and Thai Industrial
Assuming the 90 days trading horizon Bangkok Commercial Asset is expected to under-perform the Thai Industrial. In addition to that, Bangkok Commercial is 1.46 times more volatile than Thai Industrial. It trades about -0.25 of its total potential returns per unit of risk. Thai Industrial is currently generating about -0.01 per unit of volatility. If you would invest 775.00 in Thai Industrial on September 15, 2024 and sell it today you would lose (15.00) from holding Thai Industrial or give up 1.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bangkok Commercial Asset vs. Thai Industrial
Performance |
Timeline |
Bangkok Commercial Asset |
Thai Industrial |
Bangkok Commercial and Thai Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bangkok Commercial and Thai Industrial
The main advantage of trading using opposite Bangkok Commercial and Thai Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bangkok Commercial position performs unexpectedly, Thai 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 Thai Industrial will offset losses from the drop in Thai Industrial's long position.Bangkok Commercial vs. Gulf Energy Development | Bangkok Commercial vs. CP ALL Public | Bangkok Commercial vs. BGrimm Power Public | Bangkok Commercial vs. Bangkok Expressway and |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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