Correlation Between Sri Trang and Bangkok Dusit
Can any of the company-specific risk be diversified away by investing in both Sri Trang and Bangkok Dusit 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 Sri Trang and Bangkok Dusit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sri Trang Agro Industry and Bangkok Dusit Medical, you can compare the effects of market volatilities on Sri Trang and Bangkok Dusit 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 Sri Trang with a short position of Bangkok Dusit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sri Trang and Bangkok Dusit.
Diversification Opportunities for Sri Trang and Bangkok Dusit
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Sri and Bangkok is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Sri Trang Agro Industry and Bangkok Dusit Medical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bangkok Dusit Medical and Sri Trang 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 Sri Trang Agro Industry are associated (or correlated) with Bangkok Dusit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bangkok Dusit Medical has no effect on the direction of Sri Trang i.e., Sri Trang and Bangkok Dusit go up and down completely randomly.
Pair Corralation between Sri Trang and Bangkok Dusit
Assuming the 90 days trading horizon Sri Trang Agro Industry is expected to under-perform the Bangkok Dusit. In addition to that, Sri Trang is 1.3 times more volatile than Bangkok Dusit Medical. It trades about -0.14 of its total potential returns per unit of risk. Bangkok Dusit Medical is currently generating about -0.08 per unit of volatility. If you would invest 2,413 in Bangkok Dusit Medical on December 30, 2024 and sell it today you would lose (193.00) from holding Bangkok Dusit Medical or give up 8.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sri Trang Agro Industry vs. Bangkok Dusit Medical
Performance |
Timeline |
Sri Trang Agro |
Bangkok Dusit Medical |
Sri Trang and Bangkok Dusit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sri Trang and Bangkok Dusit
The main advantage of trading using opposite Sri Trang and Bangkok Dusit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sri Trang position performs unexpectedly, Bangkok Dusit 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 Bangkok Dusit will offset losses from the drop in Bangkok Dusit's long position.Sri Trang vs. Sri Trang Gloves | Sri Trang vs. Charoen Pokphand Foods | Sri Trang vs. Thai Union Group | Sri Trang vs. The Siam Cement |
Bangkok Dusit vs. Bumrungrad Hospital PCL | Bangkok Dusit vs. Bangkok Chain Hospital | Bangkok Dusit vs. Ramkhamhaeng Hospital Public | Bangkok Dusit vs. Vibhavadi Medical Center |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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