Correlation Between Namhwa Industrial and Samyang Foods
Can any of the company-specific risk be diversified away by investing in both Namhwa Industrial and Samyang Foods 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 Samyang Foods 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 Samyang Foods Co, you can compare the effects of market volatilities on Namhwa Industrial and Samyang Foods 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 Samyang Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Namhwa Industrial and Samyang Foods.
Diversification Opportunities for Namhwa Industrial and Samyang Foods
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Namhwa and Samyang is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Namhwa Industrial Co and Samyang Foods Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samyang Foods 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 Samyang Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samyang Foods has no effect on the direction of Namhwa Industrial i.e., Namhwa Industrial and Samyang Foods go up and down completely randomly.
Pair Corralation between Namhwa Industrial and Samyang Foods
Assuming the 90 days trading horizon Namhwa Industrial is expected to generate 45.07 times less return on investment than Samyang Foods. But when comparing it to its historical volatility, Namhwa Industrial Co is 2.01 times less risky than Samyang Foods. It trades about 0.02 of its potential returns per unit of risk. Samyang Foods Co is currently generating about 0.52 of returns per unit of risk over similar time horizon. If you would invest 52,100,000 in Samyang Foods Co on September 25, 2024 and sell it today you would earn a total of 23,800,000 from holding Samyang Foods Co or generate 45.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Namhwa Industrial Co vs. Samyang Foods Co
Performance |
Timeline |
Namhwa Industrial |
Samyang Foods |
Namhwa Industrial and Samyang Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Namhwa Industrial and Samyang Foods
The main advantage of trading using opposite Namhwa Industrial and Samyang Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Namhwa Industrial position performs unexpectedly, Samyang Foods 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 Samyang Foods will offset losses from the drop in Samyang Foods' long position.Namhwa Industrial vs. Youngsin Metal Industrial | Namhwa Industrial vs. Kakao Games Corp | Namhwa Industrial vs. Tway Air Co | Namhwa Industrial vs. ECSTELECOM 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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