Correlation Between Songwon Industrial and National Plastic
Can any of the company-specific risk be diversified away by investing in both Songwon Industrial and National Plastic 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 Songwon Industrial and National Plastic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Songwon Industrial Co and National Plastic Co, you can compare the effects of market volatilities on Songwon Industrial and National Plastic 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 Songwon Industrial with a short position of National Plastic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Songwon Industrial and National Plastic.
Diversification Opportunities for Songwon Industrial and National Plastic
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Songwon and National is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Songwon Industrial Co and National Plastic Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Plastic and Songwon 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 Songwon Industrial Co are associated (or correlated) with National Plastic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Plastic has no effect on the direction of Songwon Industrial i.e., Songwon Industrial and National Plastic go up and down completely randomly.
Pair Corralation between Songwon Industrial and National Plastic
Assuming the 90 days trading horizon Songwon Industrial Co is expected to generate 2.46 times more return on investment than National Plastic. However, Songwon Industrial is 2.46 times more volatile than National Plastic Co. It trades about 0.12 of its potential returns per unit of risk. National Plastic Co is currently generating about -0.08 per unit of risk. If you would invest 1,130,000 in Songwon Industrial Co on December 25, 2024 and sell it today you would earn a total of 177,000 from holding Songwon Industrial Co or generate 15.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.25% |
Values | Daily Returns |
Songwon Industrial Co vs. National Plastic Co
Performance |
Timeline |
Songwon Industrial |
National Plastic |
Songwon Industrial and National Plastic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Songwon Industrial and National Plastic
The main advantage of trading using opposite Songwon Industrial and National Plastic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Songwon Industrial position performs unexpectedly, National Plastic 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 National Plastic will offset losses from the drop in National Plastic's long position.Songwon Industrial vs. Woori Technology | Songwon Industrial vs. Daou Data Corp | Songwon Industrial vs. Cots Technology Co | Songwon Industrial vs. SCI Information Service |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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