Correlation Between GM and LEEF BRANDS
Can any of the company-specific risk be diversified away by investing in both GM and LEEF BRANDS 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 GM and LEEF BRANDS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and LEEF BRANDS INC, you can compare the effects of market volatilities on GM and LEEF BRANDS 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 GM with a short position of LEEF BRANDS. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and LEEF BRANDS.
Diversification Opportunities for GM and LEEF BRANDS
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GM and LEEF is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and LEEF BRANDS INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LEEF BRANDS INC and GM 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 General Motors are associated (or correlated) with LEEF BRANDS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LEEF BRANDS INC has no effect on the direction of GM i.e., GM and LEEF BRANDS go up and down completely randomly.
Pair Corralation between GM and LEEF BRANDS
Allowing for the 90-day total investment horizon GM is expected to generate 101.25 times less return on investment than LEEF BRANDS. But when comparing it to its historical volatility, General Motors is 41.18 times less risky than LEEF BRANDS. It trades about 0.08 of its potential returns per unit of risk. LEEF BRANDS INC is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 0.50 in LEEF BRANDS INC on September 17, 2024 and sell it today you would earn a total of 16.50 from holding LEEF BRANDS INC or generate 3300.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. LEEF BRANDS INC
Performance |
Timeline |
General Motors |
LEEF BRANDS INC |
GM and LEEF BRANDS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and LEEF BRANDS
The main advantage of trading using opposite GM and LEEF BRANDS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, LEEF BRANDS 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 LEEF BRANDS will offset losses from the drop in LEEF BRANDS's long position.The idea behind General Motors and LEEF BRANDS INC pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.LEEF BRANDS vs. DeVry Education Group | LEEF BRANDS vs. American Airlines Group | LEEF BRANDS vs. EEDUCATION ALBERT AB | LEEF BRANDS vs. United Airlines Holdings |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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