Correlation Between Bangkok Expressway and CK Power
Can any of the company-specific risk be diversified away by investing in both Bangkok Expressway and CK Power 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 Expressway and CK Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bangkok Expressway and and CK Power Public, you can compare the effects of market volatilities on Bangkok Expressway and CK Power 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 Expressway with a short position of CK Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bangkok Expressway and CK Power.
Diversification Opportunities for Bangkok Expressway and CK Power
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bangkok and CKP is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Bangkok Expressway and and CK Power Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CK Power Public and Bangkok Expressway 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 Expressway and are associated (or correlated) with CK Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CK Power Public has no effect on the direction of Bangkok Expressway i.e., Bangkok Expressway and CK Power go up and down completely randomly.
Pair Corralation between Bangkok Expressway and CK Power
Assuming the 90 days trading horizon Bangkok Expressway and is expected to generate 0.71 times more return on investment than CK Power. However, Bangkok Expressway and is 1.41 times less risky than CK Power. It trades about -0.01 of its potential returns per unit of risk. CK Power Public is currently generating about -0.04 per unit of risk. If you would invest 796.00 in Bangkok Expressway and on August 25, 2024 and sell it today you would lose (31.00) from holding Bangkok Expressway and or give up 3.89% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 99.45% |
| Values | Daily Returns |
Bangkok Expressway and vs. CK Power Public
Performance |
| Timeline |
| Bangkok Expressway and |
| CK Power Public |
Bangkok Expressway and CK Power Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bangkok Expressway and CK Power
The main advantage of trading using opposite Bangkok Expressway and CK Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bangkok Expressway position performs unexpectedly, CK Power 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 CK Power will offset losses from the drop in CK Power's long position.| Bangkok Expressway vs. BTS Group Holdings | Bangkok Expressway vs. Bangkok Dusit Medical | Bangkok Expressway vs. Airports of Thailand | Bangkok Expressway vs. CP ALL Public |
| CK Power vs. WHA Public | CK Power vs. TPI Polene Power | CK Power vs. Bangkok Expressway and | CK Power vs. BGrimm Power Public |
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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