Correlation Between Samyang Foods and KEPCO Engineering
Can any of the company-specific risk be diversified away by investing in both Samyang Foods and KEPCO Engineering 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 Samyang Foods and KEPCO Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samyang Foods Co and KEPCO Engineering Construction, you can compare the effects of market volatilities on Samyang Foods and KEPCO Engineering 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 Samyang Foods with a short position of KEPCO Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samyang Foods and KEPCO Engineering.
Diversification Opportunities for Samyang Foods and KEPCO Engineering
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samyang and KEPCO is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Samyang Foods Co and KEPCO Engineering Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KEPCO Engineering and Samyang Foods 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 Samyang Foods Co are associated (or correlated) with KEPCO Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KEPCO Engineering has no effect on the direction of Samyang Foods i.e., Samyang Foods and KEPCO Engineering go up and down completely randomly.
Pair Corralation between Samyang Foods and KEPCO Engineering
Assuming the 90 days trading horizon Samyang Foods Co is expected to generate 1.13 times more return on investment than KEPCO Engineering. However, Samyang Foods is 1.13 times more volatile than KEPCO Engineering Construction. It trades about 0.15 of its potential returns per unit of risk. KEPCO Engineering Construction is currently generating about -0.16 per unit of risk. If you would invest 51,000,000 in Samyang Foods Co on September 12, 2024 and sell it today you would earn a total of 15,900,000 from holding Samyang Foods Co or generate 31.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samyang Foods Co vs. KEPCO Engineering Construction
Performance |
Timeline |
Samyang Foods |
KEPCO Engineering |
Samyang Foods and KEPCO Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samyang Foods and KEPCO Engineering
The main advantage of trading using opposite Samyang Foods and KEPCO Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samyang Foods position performs unexpectedly, KEPCO Engineering 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 KEPCO Engineering will offset losses from the drop in KEPCO Engineering's long position.Samyang Foods vs. Samsung Electronics Co | Samyang Foods vs. Samsung Electronics Co | Samyang Foods vs. SK Hynix | Samyang Foods vs. POSCO Holdings |
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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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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