Correlation Between SEOJEON ELECTRIC and Daekyung Machinery
Can any of the company-specific risk be diversified away by investing in both SEOJEON ELECTRIC and Daekyung Machinery 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 Daekyung Machinery 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 Daekyung Machinery Engineering, you can compare the effects of market volatilities on SEOJEON ELECTRIC and Daekyung Machinery 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 Daekyung Machinery. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEOJEON ELECTRIC and Daekyung Machinery.
Diversification Opportunities for SEOJEON ELECTRIC and Daekyung Machinery
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between SEOJEON and Daekyung is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding SEOJEON ELECTRIC MACHINERY and Daekyung Machinery Engineering in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daekyung Machinery 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 Daekyung Machinery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daekyung Machinery has no effect on the direction of SEOJEON ELECTRIC i.e., SEOJEON ELECTRIC and Daekyung Machinery go up and down completely randomly.
Pair Corralation between SEOJEON ELECTRIC and Daekyung Machinery
Assuming the 90 days trading horizon SEOJEON ELECTRIC MACHINERY is expected to under-perform the Daekyung Machinery. In addition to that, SEOJEON ELECTRIC is 1.2 times more volatile than Daekyung Machinery Engineering. It trades about -0.01 of its total potential returns per unit of risk. Daekyung Machinery Engineering is currently generating about 0.11 per unit of volatility. If you would invest 43,500 in Daekyung Machinery Engineering on September 4, 2024 and sell it today you would earn a total of 8,000 from holding Daekyung Machinery Engineering or generate 18.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 93.22% |
Values | Daily Returns |
SEOJEON ELECTRIC MACHINERY vs. Daekyung Machinery Engineering
Performance |
Timeline |
SEOJEON ELECTRIC MAC |
Daekyung Machinery |
SEOJEON ELECTRIC and Daekyung Machinery Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SEOJEON ELECTRIC and Daekyung Machinery
The main advantage of trading using opposite SEOJEON ELECTRIC and Daekyung Machinery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEOJEON ELECTRIC position performs unexpectedly, Daekyung Machinery 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 Daekyung Machinery will offset losses from the drop in Daekyung Machinery's long position.SEOJEON ELECTRIC vs. LG Display | SEOJEON ELECTRIC vs. Hyundai Motor | SEOJEON ELECTRIC vs. Hyundai Motor Co | SEOJEON ELECTRIC vs. Hyundai Motor 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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