Correlation Between GFL ENVIRONM and REVO INSURANCE
Can any of the company-specific risk be diversified away by investing in both GFL ENVIRONM and REVO INSURANCE 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 GFL ENVIRONM and REVO INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GFL ENVIRONM and REVO INSURANCE SPA, you can compare the effects of market volatilities on GFL ENVIRONM and REVO INSURANCE 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 GFL ENVIRONM with a short position of REVO INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of GFL ENVIRONM and REVO INSURANCE.
Diversification Opportunities for GFL ENVIRONM and REVO INSURANCE
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between GFL and REVO is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding GFL ENVIRONM and REVO INSURANCE SPA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on REVO INSURANCE SPA and GFL ENVIRONM 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 GFL ENVIRONM are associated (or correlated) with REVO INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of REVO INSURANCE SPA has no effect on the direction of GFL ENVIRONM i.e., GFL ENVIRONM and REVO INSURANCE go up and down completely randomly.
Pair Corralation between GFL ENVIRONM and REVO INSURANCE
Assuming the 90 days horizon GFL ENVIRONM is expected to generate 1.25 times less return on investment than REVO INSURANCE. In addition to that, GFL ENVIRONM is 1.4 times more volatile than REVO INSURANCE SPA. It trades about 0.21 of its total potential returns per unit of risk. REVO INSURANCE SPA is currently generating about 0.36 per unit of volatility. If you would invest 906.00 in REVO INSURANCE SPA on September 20, 2024 and sell it today you would earn a total of 284.00 from holding REVO INSURANCE SPA or generate 31.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
GFL ENVIRONM vs. REVO INSURANCE SPA
Performance |
Timeline |
GFL ENVIRONM |
REVO INSURANCE SPA |
GFL ENVIRONM and REVO INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GFL ENVIRONM and REVO INSURANCE
The main advantage of trading using opposite GFL ENVIRONM and REVO INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GFL ENVIRONM position performs unexpectedly, REVO INSURANCE 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 REVO INSURANCE will offset losses from the drop in REVO INSURANCE's long position.GFL ENVIRONM vs. Veolia Environnement SA | GFL ENVIRONM vs. Superior Plus Corp | GFL ENVIRONM vs. SIVERS SEMICONDUCTORS AB | GFL ENVIRONM vs. NorAm Drilling AS |
REVO INSURANCE vs. Lyxor 1 | REVO INSURANCE vs. Xtrackers LevDAX | REVO INSURANCE vs. Xtrackers ShortDAX | REVO INSURANCE vs. Superior Plus Corp |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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