Correlation Between KakaoBank Corp and Daedong Steel
Can any of the company-specific risk be diversified away by investing in both KakaoBank Corp and Daedong Steel 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 KakaoBank Corp and Daedong Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KakaoBank Corp and Daedong Steel Co, you can compare the effects of market volatilities on KakaoBank Corp and Daedong Steel 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 KakaoBank Corp with a short position of Daedong Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of KakaoBank Corp and Daedong Steel.
Diversification Opportunities for KakaoBank Corp and Daedong Steel
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between KakaoBank and Daedong is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding KakaoBank Corp and Daedong Steel Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daedong Steel and KakaoBank Corp 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 KakaoBank Corp are associated (or correlated) with Daedong Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daedong Steel has no effect on the direction of KakaoBank Corp i.e., KakaoBank Corp and Daedong Steel go up and down completely randomly.
Pair Corralation between KakaoBank Corp and Daedong Steel
Assuming the 90 days trading horizon KakaoBank Corp is expected to generate 0.85 times more return on investment than Daedong Steel. However, KakaoBank Corp is 1.18 times less risky than Daedong Steel. It trades about 0.1 of its potential returns per unit of risk. Daedong Steel Co is currently generating about -0.05 per unit of risk. If you would invest 2,140,000 in KakaoBank Corp on September 13, 2024 and sell it today you would earn a total of 275,000 from holding KakaoBank Corp or generate 12.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
KakaoBank Corp vs. Daedong Steel Co
Performance |
Timeline |
KakaoBank Corp |
Daedong Steel |
KakaoBank Corp and Daedong Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KakaoBank Corp and Daedong Steel
The main advantage of trading using opposite KakaoBank Corp and Daedong Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KakaoBank Corp position performs unexpectedly, Daedong Steel 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 Daedong Steel will offset losses from the drop in Daedong Steel's long position.KakaoBank Corp vs. Daedong Steel Co | KakaoBank Corp vs. Bookook Steel | KakaoBank Corp vs. Hironic Co | KakaoBank Corp vs. J Steel Co |
Daedong Steel vs. Keum Kang Steel | Daedong Steel vs. Samhyun Steel Co | Daedong Steel vs. Gyeongnam Steel Co | Daedong Steel vs. Jeil Steel Mfg |
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.
Other Complementary Tools
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |