Correlation Between Greystone Logistics and G6 Materials
Can any of the company-specific risk be diversified away by investing in both Greystone Logistics and G6 Materials 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 Greystone Logistics and G6 Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Greystone Logistics and G6 Materials Corp, you can compare the effects of market volatilities on Greystone Logistics and G6 Materials 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 Greystone Logistics with a short position of G6 Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Greystone Logistics and G6 Materials.
Diversification Opportunities for Greystone Logistics and G6 Materials
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Greystone and GPHBF is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Greystone Logistics and G6 Materials Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on G6 Materials Corp and Greystone Logistics 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 Greystone Logistics are associated (or correlated) with G6 Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of G6 Materials Corp has no effect on the direction of Greystone Logistics i.e., Greystone Logistics and G6 Materials go up and down completely randomly.
Pair Corralation between Greystone Logistics and G6 Materials
Given the investment horizon of 90 days Greystone Logistics is expected to under-perform the G6 Materials. But the otc stock apears to be less risky and, when comparing its historical volatility, Greystone Logistics is 2.62 times less risky than G6 Materials. The otc stock trades about -0.01 of its potential returns per unit of risk. The G6 Materials Corp is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 5.10 in G6 Materials Corp on September 1, 2024 and sell it today you would lose (2.10) from holding G6 Materials Corp or give up 41.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Greystone Logistics vs. G6 Materials Corp
Performance |
Timeline |
Greystone Logistics |
G6 Materials Corp |
Greystone Logistics and G6 Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Greystone Logistics and G6 Materials
The main advantage of trading using opposite Greystone Logistics and G6 Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Greystone Logistics position performs unexpectedly, G6 Materials 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 G6 Materials will offset losses from the drop in G6 Materials' long position.Greystone Logistics vs. TSS, Common Stock | Greystone Logistics vs. Noble Romans | Greystone Logistics vs. Pacific Health Care | Greystone Logistics vs. Surge Components |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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