Correlation Between Namhwa Industrial and Shinhan Inverse
Can any of the company-specific risk be diversified away by investing in both Namhwa Industrial and Shinhan Inverse 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 Namhwa Industrial and Shinhan Inverse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Namhwa Industrial Co and Shinhan Inverse Silver, you can compare the effects of market volatilities on Namhwa Industrial and Shinhan Inverse 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 Namhwa Industrial with a short position of Shinhan Inverse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Namhwa Industrial and Shinhan Inverse.
Diversification Opportunities for Namhwa Industrial and Shinhan Inverse
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Namhwa and Shinhan is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Namhwa Industrial Co and Shinhan Inverse Silver in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shinhan Inverse Silver and Namhwa 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 Namhwa Industrial Co are associated (or correlated) with Shinhan Inverse. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shinhan Inverse Silver has no effect on the direction of Namhwa Industrial i.e., Namhwa Industrial and Shinhan Inverse go up and down completely randomly.
Pair Corralation between Namhwa Industrial and Shinhan Inverse
Assuming the 90 days trading horizon Namhwa Industrial Co is expected to generate 0.98 times more return on investment than Shinhan Inverse. However, Namhwa Industrial Co is 1.03 times less risky than Shinhan Inverse. It trades about 0.05 of its potential returns per unit of risk. Shinhan Inverse Silver is currently generating about 0.02 per unit of risk. If you would invest 520,000 in Namhwa Industrial Co on September 19, 2024 and sell it today you would earn a total of 8,000 from holding Namhwa Industrial Co or generate 1.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Namhwa Industrial Co vs. Shinhan Inverse Silver
Performance |
Timeline |
Namhwa Industrial |
Shinhan Inverse Silver |
Namhwa Industrial and Shinhan Inverse Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Namhwa Industrial and Shinhan Inverse
The main advantage of trading using opposite Namhwa Industrial and Shinhan Inverse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Namhwa Industrial position performs unexpectedly, Shinhan Inverse 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 Shinhan Inverse will offset losses from the drop in Shinhan Inverse's long position.Namhwa Industrial vs. Solution Advanced Technology | Namhwa Industrial vs. Busan Industrial Co | Namhwa Industrial vs. Busan Ind | Namhwa Industrial vs. Sam Chun Dang |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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