Correlation Between Kang Yong and CK Power
Can any of the company-specific risk be diversified away by investing in both Kang Yong and CK Power 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 CK Power 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 CK Power Public, you can compare the effects of market volatilities on Kang Yong and CK Power 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 CK Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kang Yong and CK Power.
Diversification Opportunities for Kang Yong and CK Power
Poor diversification
The 3 months correlation between Kang and CKP is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Kang Yong Electric and CK Power Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CK Power Public 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 CK Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CK Power Public has no effect on the direction of Kang Yong i.e., Kang Yong and CK Power go up and down completely randomly.
Pair Corralation between Kang Yong and CK Power
Assuming the 90 days trading horizon Kang Yong Electric is expected to generate 24.38 times more return on investment than CK Power. However, Kang Yong is 24.38 times more volatile than CK Power Public. It trades about 0.04 of its potential returns per unit of risk. CK Power Public is currently generating about -0.03 per unit of risk. If you would invest 29,922 in Kang Yong Electric on October 5, 2024 and sell it today you would lose (1,022) from holding Kang Yong Electric or give up 3.42% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Kang Yong Electric vs. CK Power Public
Performance |
Timeline |
Kang Yong Electric |
CK Power Public |
Kang Yong and CK Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kang Yong and CK Power
The main advantage of trading using opposite Kang Yong and CK Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kang Yong position performs unexpectedly, CK Power 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 CK Power will offset losses from the drop in CK Power'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 |
CK Power vs. Energy Absolute Public | CK Power vs. BCPG Public | CK Power vs. Bangkok Expressway and | CK Power vs. Gulf Energy Development |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Other Complementary Tools
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |