Correlation Between Bangkok Dusit and Goodyear Public
Can any of the company-specific risk be diversified away by investing in both Bangkok Dusit and Goodyear 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 Dusit and Goodyear Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bangkok Dusit Medical and Goodyear Public, you can compare the effects of market volatilities on Bangkok Dusit and Goodyear 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 Dusit with a short position of Goodyear Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bangkok Dusit and Goodyear Public.
Diversification Opportunities for Bangkok Dusit and Goodyear Public
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bangkok and Goodyear is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Bangkok Dusit Medical and Goodyear Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goodyear Public and Bangkok Dusit 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 Dusit Medical are associated (or correlated) with Goodyear Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goodyear Public has no effect on the direction of Bangkok Dusit i.e., Bangkok Dusit and Goodyear Public go up and down completely randomly.
Pair Corralation between Bangkok Dusit and Goodyear Public
Assuming the 90 days trading horizon Bangkok Dusit Medical is expected to under-perform the Goodyear Public. In addition to that, Bangkok Dusit is 1.53 times more volatile than Goodyear Public. It trades about -0.15 of its total potential returns per unit of risk. Goodyear Public is currently generating about 0.06 per unit of volatility. If you would invest 17,400 in Goodyear Public on September 27, 2024 and sell it today you would earn a total of 200.00 from holding Goodyear Public or generate 1.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bangkok Dusit Medical vs. Goodyear Public
Performance |
Timeline |
Bangkok Dusit Medical |
Goodyear Public |
Bangkok Dusit and Goodyear Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bangkok Dusit and Goodyear Public
The main advantage of trading using opposite Bangkok Dusit and Goodyear Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bangkok Dusit position performs unexpectedly, Goodyear 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 Goodyear Public will offset losses from the drop in Goodyear Public's long position.Bangkok Dusit vs. Bumrungrad Hospital Public | Bangkok Dusit vs. Bangkok Chain Hospital | Bangkok Dusit vs. Ramkhamhaeng Hospital Public | Bangkok Dusit vs. Vibhavadi Medical Center |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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