Correlation Between SEOJEON ELECTRIC and Nature
Can any of the company-specific risk be diversified away by investing in both SEOJEON ELECTRIC and Nature 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 SEOJEON ELECTRIC and Nature into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SEOJEON ELECTRIC MACHINERY and Nature and Environment, you can compare the effects of market volatilities on SEOJEON ELECTRIC and Nature 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 SEOJEON ELECTRIC with a short position of Nature. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEOJEON ELECTRIC and Nature.
Diversification Opportunities for SEOJEON ELECTRIC and Nature
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SEOJEON and Nature is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding SEOJEON ELECTRIC MACHINERY and Nature and Environment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nature and Environment and SEOJEON ELECTRIC 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 SEOJEON ELECTRIC MACHINERY are associated (or correlated) with Nature. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nature and Environment has no effect on the direction of SEOJEON ELECTRIC i.e., SEOJEON ELECTRIC and Nature go up and down completely randomly.
Pair Corralation between SEOJEON ELECTRIC and Nature
Assuming the 90 days trading horizon SEOJEON ELECTRIC MACHINERY is expected to generate 1.57 times more return on investment than Nature. However, SEOJEON ELECTRIC is 1.57 times more volatile than Nature and Environment. It trades about 0.05 of its potential returns per unit of risk. Nature and Environment is currently generating about 0.03 per unit of risk. If you would invest 487,000 in SEOJEON ELECTRIC MACHINERY on October 25, 2024 and sell it today you would earn a total of 35,000 from holding SEOJEON ELECTRIC MACHINERY or generate 7.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SEOJEON ELECTRIC MACHINERY vs. Nature and Environment
Performance |
Timeline |
SEOJEON ELECTRIC MAC |
Nature and Environment |
SEOJEON ELECTRIC and Nature Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SEOJEON ELECTRIC and Nature
The main advantage of trading using opposite SEOJEON ELECTRIC and Nature positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEOJEON ELECTRIC position performs unexpectedly, Nature 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 Nature will offset losses from the drop in Nature's long position.SEOJEON ELECTRIC vs. Samsung Electronics Co | SEOJEON ELECTRIC vs. Samsung Electronics Co | SEOJEON ELECTRIC vs. KB Financial Group | SEOJEON ELECTRIC vs. Shinhan Financial Group |
Nature vs. Samsung Electronics Co | Nature vs. Samsung Electronics Co | Nature vs. KB Financial Group | Nature vs. Shinhan Financial Group |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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