Correlation Between Greenlane Holdings and Turning Point
Can any of the company-specific risk be diversified away by investing in both Greenlane Holdings and Turning Point 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 Greenlane Holdings and Turning Point into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Greenlane Holdings and Turning Point Brands, you can compare the effects of market volatilities on Greenlane Holdings and Turning Point 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 Greenlane Holdings with a short position of Turning Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of Greenlane Holdings and Turning Point.
Diversification Opportunities for Greenlane Holdings and Turning Point
-0.87 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Greenlane and Turning is -0.87. Overlapping area represents the amount of risk that can be diversified away by holding Greenlane Holdings and Turning Point Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Turning Point Brands and Greenlane Holdings 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 Greenlane Holdings are associated (or correlated) with Turning Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Turning Point Brands has no effect on the direction of Greenlane Holdings i.e., Greenlane Holdings and Turning Point go up and down completely randomly.
Pair Corralation between Greenlane Holdings and Turning Point
Given the investment horizon of 90 days Greenlane Holdings is expected to generate 1.86 times less return on investment than Turning Point. In addition to that, Greenlane Holdings is 10.17 times more volatile than Turning Point Brands. It trades about 0.01 of its total potential returns per unit of risk. Turning Point Brands is currently generating about 0.14 per unit of volatility. If you would invest 2,089 in Turning Point Brands on August 25, 2024 and sell it today you would earn a total of 4,176 from holding Turning Point Brands or generate 199.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Greenlane Holdings vs. Turning Point Brands
Performance |
Timeline |
Greenlane Holdings |
Turning Point Brands |
Greenlane Holdings and Turning Point Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Greenlane Holdings and Turning Point
The main advantage of trading using opposite Greenlane Holdings and Turning Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Greenlane Holdings position performs unexpectedly, Turning Point 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 Turning Point will offset losses from the drop in Turning Point's long position.Greenlane Holdings vs. 1606 Corp | Greenlane Holdings vs. PT Hanjaya Mandala | Greenlane Holdings vs. Green Globe International | Greenlane Holdings vs. Kaival Brands Innovations |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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