Correlation Between Gyeongnam Steel and Hanil Iron
Can any of the company-specific risk be diversified away by investing in both Gyeongnam Steel and Hanil Iron 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 Gyeongnam Steel and Hanil Iron into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gyeongnam Steel Co and Hanil Iron Steel, you can compare the effects of market volatilities on Gyeongnam Steel and Hanil Iron 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 Gyeongnam Steel with a short position of Hanil Iron. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gyeongnam Steel and Hanil Iron.
Diversification Opportunities for Gyeongnam Steel and Hanil Iron
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Gyeongnam and Hanil is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Gyeongnam Steel Co and Hanil Iron Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanil Iron Steel and Gyeongnam Steel 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 Gyeongnam Steel Co are associated (or correlated) with Hanil Iron. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hanil Iron Steel has no effect on the direction of Gyeongnam Steel i.e., Gyeongnam Steel and Hanil Iron go up and down completely randomly.
Pair Corralation between Gyeongnam Steel and Hanil Iron
Assuming the 90 days trading horizon Gyeongnam Steel Co is expected to generate 4.54 times more return on investment than Hanil Iron. However, Gyeongnam Steel is 4.54 times more volatile than Hanil Iron Steel. It trades about 0.25 of its potential returns per unit of risk. Hanil Iron Steel is currently generating about -0.04 per unit of risk. If you would invest 307,500 in Gyeongnam Steel Co on September 22, 2024 and sell it today you would earn a total of 164,500 from holding Gyeongnam Steel Co or generate 53.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Gyeongnam Steel Co vs. Hanil Iron Steel
Performance |
Timeline |
Gyeongnam Steel |
Hanil Iron Steel |
Gyeongnam Steel and Hanil Iron Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gyeongnam Steel and Hanil Iron
The main advantage of trading using opposite Gyeongnam Steel and Hanil Iron positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gyeongnam Steel position performs unexpectedly, Hanil Iron 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 Hanil Iron will offset losses from the drop in Hanil Iron's long position.Gyeongnam Steel vs. Mgame Corp | Gyeongnam Steel vs. Dongbang Ship Machinery | Gyeongnam Steel vs. Tuksu Engineering ConstructionLtd | Gyeongnam Steel vs. Korea Alcohol Industrial |
Hanil Iron vs. AptaBio Therapeutics | Hanil Iron vs. Wonbang Tech Co | Hanil Iron vs. Busan Industrial Co | Hanil Iron vs. Busan Ind |
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.
Other Complementary Tools
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |