Correlation Between Khiron Life and GFL ENVIRONM
Can any of the company-specific risk be diversified away by investing in both Khiron Life and GFL ENVIRONM 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 Khiron Life and GFL ENVIRONM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Khiron Life Sciences and GFL ENVIRONM, you can compare the effects of market volatilities on Khiron Life and GFL ENVIRONM 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 Khiron Life with a short position of GFL ENVIRONM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Khiron Life and GFL ENVIRONM.
Diversification Opportunities for Khiron Life and GFL ENVIRONM
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Khiron and GFL is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Khiron Life Sciences and GFL ENVIRONM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GFL ENVIRONM and Khiron Life 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 Khiron Life Sciences are associated (or correlated) with GFL ENVIRONM. 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 has no effect on the direction of Khiron Life i.e., Khiron Life and GFL ENVIRONM go up and down completely randomly.
Pair Corralation between Khiron Life and GFL ENVIRONM
Assuming the 90 days trading horizon Khiron Life is expected to generate 5.29 times less return on investment than GFL ENVIRONM. In addition to that, Khiron Life is 2.56 times more volatile than GFL ENVIRONM. It trades about 0.0 of its total potential returns per unit of risk. GFL ENVIRONM is currently generating about 0.06 per unit of volatility. If you would invest 2,671 in GFL ENVIRONM on August 28, 2024 and sell it today you would earn a total of 1,689 from holding GFL ENVIRONM or generate 63.23% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Khiron Life Sciences vs. GFL ENVIRONM
Performance |
| Timeline |
| Khiron Life Sciences |
| GFL ENVIRONM |
Khiron Life and GFL ENVIRONM Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Khiron Life and GFL ENVIRONM
The main advantage of trading using opposite Khiron Life and GFL ENVIRONM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Khiron Life position performs unexpectedly, GFL ENVIRONM 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 will offset losses from the drop in GFL ENVIRONM's long position.| Khiron Life vs. Evolution Mining Limited | Khiron Life vs. Webster Financial | Khiron Life vs. Suntory Beverage Food | Khiron Life vs. National Beverage Corp |
| GFL ENVIRONM vs. Superior Plus Corp | GFL ENVIRONM vs. NMI Holdings | GFL ENVIRONM vs. Origin Agritech | GFL ENVIRONM vs. SIVERS SEMICONDUCTORS AB |
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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