Correlation Between Hana Financial and SEOJEON ELECTRIC
Can any of the company-specific risk be diversified away by investing in both Hana Financial and SEOJEON ELECTRIC 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 Hana Financial and SEOJEON ELECTRIC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hana Financial 7 and SEOJEON ELECTRIC MACHINERY, you can compare the effects of market volatilities on Hana Financial and SEOJEON ELECTRIC 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 Hana Financial with a short position of SEOJEON ELECTRIC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hana Financial and SEOJEON ELECTRIC.
Diversification Opportunities for Hana Financial and SEOJEON ELECTRIC
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hana and SEOJEON is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Hana Financial 7 and SEOJEON ELECTRIC MACHINERY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEOJEON ELECTRIC MAC and Hana Financial 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 Hana Financial 7 are associated (or correlated) with SEOJEON ELECTRIC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEOJEON ELECTRIC MAC has no effect on the direction of Hana Financial i.e., Hana Financial and SEOJEON ELECTRIC go up and down completely randomly.
Pair Corralation between Hana Financial and SEOJEON ELECTRIC
Assuming the 90 days trading horizon Hana Financial 7 is expected to generate 1.07 times more return on investment than SEOJEON ELECTRIC. However, Hana Financial is 1.07 times more volatile than SEOJEON ELECTRIC MACHINERY. It trades about 0.17 of its potential returns per unit of risk. SEOJEON ELECTRIC MACHINERY is currently generating about 0.02 per unit of risk. If you would invest 1,667,000 in Hana Financial 7 on December 25, 2024 and sell it today you would earn a total of 668,000 from holding Hana Financial 7 or generate 40.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Hana Financial 7 vs. SEOJEON ELECTRIC MACHINERY
Performance |
Timeline |
Hana Financial 7 |
SEOJEON ELECTRIC MAC |
Hana Financial and SEOJEON ELECTRIC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hana Financial and SEOJEON ELECTRIC
The main advantage of trading using opposite Hana Financial and SEOJEON ELECTRIC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hana Financial position performs unexpectedly, SEOJEON ELECTRIC 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 SEOJEON ELECTRIC will offset losses from the drop in SEOJEON ELECTRIC's long position.Hana Financial vs. Ananti Inc | Hana Financial vs. SS TECH | Hana Financial vs. Vieworks Co | Hana Financial vs. Shinsung Delta Tech |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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