Correlation Between Bangkok Commercial and Gulf Energy
Can any of the company-specific risk be diversified away by investing in both Bangkok Commercial and Gulf Energy 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 Gulf Energy 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 Gulf Energy Development, you can compare the effects of market volatilities on Bangkok Commercial and Gulf Energy 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 Gulf Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bangkok Commercial and Gulf Energy.
Diversification Opportunities for Bangkok Commercial and Gulf Energy
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bangkok and Gulf is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Bangkok Commercial Asset and Gulf Energy Development in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gulf Energy Development 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 Gulf Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gulf Energy Development has no effect on the direction of Bangkok Commercial i.e., Bangkok Commercial and Gulf Energy go up and down completely randomly.
Pair Corralation between Bangkok Commercial and Gulf Energy
Assuming the 90 days trading horizon Bangkok Commercial Asset is expected to generate 1.17 times more return on investment than Gulf Energy. However, Bangkok Commercial is 1.17 times more volatile than Gulf Energy Development. It trades about -0.03 of its potential returns per unit of risk. Gulf Energy Development is currently generating about -0.14 per unit of risk. If you would invest 680.00 in Bangkok Commercial Asset on December 2, 2024 and sell it today you would lose (45.00) from holding Bangkok Commercial Asset or give up 6.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bangkok Commercial Asset vs. Gulf Energy Development
Performance |
Timeline |
Bangkok Commercial Asset |
Gulf Energy Development |
Bangkok Commercial and Gulf Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bangkok Commercial and Gulf Energy
The main advantage of trading using opposite Bangkok Commercial and Gulf Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bangkok Commercial position performs unexpectedly, Gulf Energy 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 Gulf Energy will offset losses from the drop in Gulf Energy'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 |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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