Correlation Between LEENO Industrial and National Plastic
Can any of the company-specific risk be diversified away by investing in both LEENO 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 LEENO 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 LEENO Industrial and National Plastic Co, you can compare the effects of market volatilities on LEENO 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 LEENO Industrial with a short position of National Plastic. Check out your portfolio center. Please also check ongoing floating volatility patterns of LEENO Industrial and National Plastic.
Diversification Opportunities for LEENO Industrial and National Plastic
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between LEENO and National is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding LEENO Industrial and National Plastic Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Plastic and LEENO 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 LEENO Industrial 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 LEENO Industrial i.e., LEENO Industrial and National Plastic go up and down completely randomly.
Pair Corralation between LEENO Industrial and National Plastic
Assuming the 90 days trading horizon LEENO Industrial is expected to generate 2.06 times more return on investment than National Plastic. However, LEENO Industrial is 2.06 times more volatile than National Plastic Co. It trades about 0.03 of its potential returns per unit of risk. National Plastic Co is currently generating about -0.01 per unit of risk. If you would invest 15,330,000 in LEENO Industrial on September 26, 2024 and sell it today you would earn a total of 4,670,000 from holding LEENO Industrial or generate 30.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LEENO Industrial vs. National Plastic Co
Performance |
Timeline |
LEENO Industrial |
National Plastic |
LEENO Industrial and National Plastic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LEENO Industrial and National Plastic
The main advantage of trading using opposite LEENO Industrial and National Plastic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LEENO 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.LEENO Industrial vs. Dongsin Engineering Construction | LEENO Industrial vs. Doosan Fuel Cell | LEENO Industrial vs. Daishin Balance 1 | LEENO Industrial vs. Total Soft Bank |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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