Correlation Between CP ALL and Kang Yong
Can any of the company-specific risk be diversified away by investing in both CP ALL and Kang Yong 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 CP ALL and Kang Yong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CP ALL Public and Kang Yong Electric, you can compare the effects of market volatilities on CP ALL and Kang Yong 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 CP ALL with a short position of Kang Yong. Check out your portfolio center. Please also check ongoing floating volatility patterns of CP ALL and Kang Yong.
Diversification Opportunities for CP ALL and Kang Yong
Poor diversification
The 3 months correlation between CPALL and Kang is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding CP ALL Public and Kang Yong Electric in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kang Yong Electric and CP ALL 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 CP ALL Public are associated (or correlated) with Kang Yong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kang Yong Electric has no effect on the direction of CP ALL i.e., CP ALL and Kang Yong go up and down completely randomly.
Pair Corralation between CP ALL and Kang Yong
Assuming the 90 days trading horizon CP ALL Public is expected to under-perform the Kang Yong. In addition to that, CP ALL is 4.58 times more volatile than Kang Yong Electric. It trades about -0.18 of its total potential returns per unit of risk. Kang Yong Electric is currently generating about -0.03 per unit of volatility. If you would invest 28,900 in Kang Yong Electric on September 27, 2024 and sell it today you would lose (100.00) from holding Kang Yong Electric or give up 0.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
CP ALL Public vs. Kang Yong Electric
Performance |
Timeline |
CP ALL Public |
Kang Yong Electric |
CP ALL and Kang Yong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CP ALL and Kang Yong
The main advantage of trading using opposite CP ALL and Kang Yong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CP ALL position performs unexpectedly, Kang Yong 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 Kang Yong will offset losses from the drop in Kang Yong's long position.The idea behind CP ALL Public and Kang Yong Electric pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Kang Yong vs. Hwa Fong Rubber | Kang Yong vs. Hana Microelectronics Public | Kang Yong vs. KGI Securities Public | Kang Yong vs. Haad Thip 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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