Correlation Between Kang Yong and Bangkok Chain
Can any of the company-specific risk be diversified away by investing in both Kang Yong and Bangkok Chain 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 Kang Yong and Bangkok Chain into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kang Yong Electric and Bangkok Chain Hospital, you can compare the effects of market volatilities on Kang Yong and Bangkok Chain 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 Kang Yong with a short position of Bangkok Chain. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kang Yong and Bangkok Chain.
Diversification Opportunities for Kang Yong and Bangkok Chain
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kang and Bangkok is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Kang Yong Electric and Bangkok Chain Hospital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bangkok Chain Hospital and Kang Yong 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 Kang Yong Electric are associated (or correlated) with Bangkok Chain. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bangkok Chain Hospital has no effect on the direction of Kang Yong i.e., Kang Yong and Bangkok Chain go up and down completely randomly.
Pair Corralation between Kang Yong and Bangkok Chain
Assuming the 90 days trading horizon Kang Yong Electric is expected to generate 41.44 times more return on investment than Bangkok Chain. However, Kang Yong is 41.44 times more volatile than Bangkok Chain Hospital. It trades about 0.06 of its potential returns per unit of risk. Bangkok Chain Hospital is currently generating about -0.09 per unit of risk. If you would invest 27,220 in Kang Yong Electric on October 5, 2024 and sell it today you would earn a total of 1,680 from holding Kang Yong Electric or generate 6.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Kang Yong Electric vs. Bangkok Chain Hospital
Performance |
Timeline |
Kang Yong Electric |
Bangkok Chain Hospital |
Kang Yong and Bangkok Chain Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kang Yong and Bangkok Chain
The main advantage of trading using opposite Kang Yong and Bangkok Chain positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kang Yong position performs unexpectedly, Bangkok Chain 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 Chain will offset losses from the drop in Bangkok Chain's long position.Kang Yong vs. Hwa Fong Rubber | Kang Yong vs. Hana Microelectronics Public | Kang Yong vs. KGI Securities Public | Kang Yong vs. Haad Thip Public |
Bangkok Chain vs. Bangkok Dusit Medical | Bangkok Chain vs. Chularat Hospital Public | Bangkok Chain vs. Bumrungrad Hospital PCL | Bangkok Chain vs. Advanced Info Service |
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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
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