Correlation Between Bangkok Chain and Steel Public
Can any of the company-specific risk be diversified away by investing in both Bangkok Chain and Steel 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 Bangkok Chain and Steel Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bangkok Chain Hospital and The Steel Public, you can compare the effects of market volatilities on Bangkok Chain and Steel 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 Bangkok Chain with a short position of Steel Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bangkok Chain and Steel Public.
Diversification Opportunities for Bangkok Chain and Steel Public
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bangkok and Steel is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Bangkok Chain Hospital and The Steel Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Steel Public and Bangkok Chain 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 Chain Hospital are associated (or correlated) with Steel Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Steel Public has no effect on the direction of Bangkok Chain i.e., Bangkok Chain and Steel Public go up and down completely randomly.
Pair Corralation between Bangkok Chain and Steel Public
Assuming the 90 days trading horizon Bangkok Chain Hospital is expected to under-perform the Steel Public. But the stock apears to be less risky and, when comparing its historical volatility, Bangkok Chain Hospital is 29.35 times less risky than Steel Public. The stock trades about -0.03 of its potential returns per unit of risk. The The Steel Public is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 146.00 in The Steel Public on October 5, 2024 and sell it today you would lose (72.00) from holding The Steel Public or give up 49.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bangkok Chain Hospital vs. The Steel Public
Performance |
Timeline |
Bangkok Chain Hospital |
Steel Public |
Bangkok Chain and Steel Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bangkok Chain and Steel Public
The main advantage of trading using opposite Bangkok Chain and Steel Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bangkok Chain position performs unexpectedly, Steel 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 Steel Public will offset losses from the drop in Steel Public's long position.Bangkok Chain vs. Bangkok Dusit Medical | Bangkok Chain vs. Chularat Hospital Public | Bangkok Chain vs. Bumrungrad Hospital PCL | Bangkok Chain vs. Advanced Info Service |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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