Correlation Between Eagon Industrial and SK Chemicals
Can any of the company-specific risk be diversified away by investing in both Eagon Industrial and SK Chemicals 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 Eagon Industrial and SK Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eagon Industrial Co and SK Chemicals Co, you can compare the effects of market volatilities on Eagon Industrial and SK Chemicals 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 Eagon Industrial with a short position of SK Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eagon Industrial and SK Chemicals.
Diversification Opportunities for Eagon Industrial and SK Chemicals
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Eagon and 28513K is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Eagon Industrial Co and SK Chemicals Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SK Chemicals and Eagon Industrial 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 Eagon Industrial Co are associated (or correlated) with SK Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SK Chemicals has no effect on the direction of Eagon Industrial i.e., Eagon Industrial and SK Chemicals go up and down completely randomly.
Pair Corralation between Eagon Industrial and SK Chemicals
Assuming the 90 days trading horizon Eagon Industrial is expected to generate 1.24 times less return on investment than SK Chemicals. But when comparing it to its historical volatility, Eagon Industrial Co is 1.43 times less risky than SK Chemicals. It trades about 0.14 of its potential returns per unit of risk. SK Chemicals Co is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,926,000 in SK Chemicals Co on October 6, 2024 and sell it today you would earn a total of 109,000 from holding SK Chemicals Co or generate 5.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Eagon Industrial Co vs. SK Chemicals Co
Performance |
Timeline |
Eagon Industrial |
SK Chemicals |
Eagon Industrial and SK Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eagon Industrial and SK Chemicals
The main advantage of trading using opposite Eagon Industrial and SK Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eagon Industrial position performs unexpectedly, SK Chemicals 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 SK Chemicals will offset losses from the drop in SK Chemicals' long position.Eagon Industrial vs. Wonbang Tech Co | Eagon Industrial vs. Daiyang Metal Co | Eagon Industrial vs. Solution Advanced Technology | Eagon Industrial vs. Busan Industrial Co |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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