Correlation Between Ming Le and GFL ENVIRONM(SUBVTSH
Can any of the company-specific risk be diversified away by investing in both Ming Le and GFL ENVIRONM(SUBVTSH 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 Ming Le and GFL ENVIRONM(SUBVTSH into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ming Le Sports and GFL ENVIRONM, you can compare the effects of market volatilities on Ming Le and GFL ENVIRONM(SUBVTSH 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 Ming Le with a short position of GFL ENVIRONM(SUBVTSH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ming Le and GFL ENVIRONM(SUBVTSH.
Diversification Opportunities for Ming Le and GFL ENVIRONM(SUBVTSH
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ming and GFL is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Ming Le Sports and GFL ENVIRONM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GFL ENVIRONM(SUBVTSH and Ming Le 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 Ming Le Sports are associated (or correlated) with GFL ENVIRONM(SUBVTSH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GFL ENVIRONM(SUBVTSH has no effect on the direction of Ming Le i.e., Ming Le and GFL ENVIRONM(SUBVTSH go up and down completely randomly.
Pair Corralation between Ming Le and GFL ENVIRONM(SUBVTSH
Assuming the 90 days trading horizon Ming Le Sports is expected to under-perform the GFL ENVIRONM(SUBVTSH. In addition to that, Ming Le is 2.0 times more volatile than GFL ENVIRONM. It trades about -0.04 of its total potential returns per unit of risk. GFL ENVIRONM is currently generating about 0.05 per unit of volatility. If you would invest 4,279 in GFL ENVIRONM on December 28, 2024 and sell it today you would earn a total of 181.00 from holding GFL ENVIRONM or generate 4.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ming Le Sports vs. GFL ENVIRONM
Performance |
Timeline |
Ming Le Sports |
GFL ENVIRONM(SUBVTSH |
Ming Le and GFL ENVIRONM(SUBVTSH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ming Le and GFL ENVIRONM(SUBVTSH
The main advantage of trading using opposite Ming Le and GFL ENVIRONM(SUBVTSH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ming Le position performs unexpectedly, GFL ENVIRONM(SUBVTSH 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 GFL ENVIRONM(SUBVTSH will offset losses from the drop in GFL ENVIRONM(SUBVTSH's long position.Ming Le vs. Retail Estates NV | Ming Le vs. DEVRY EDUCATION GRP | Ming Le vs. Indutrade AB | Ming Le vs. CAREER EDUCATION |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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