Correlation Between WILLIS LEASE and REVO INSURANCE
Can any of the company-specific risk be diversified away by investing in both WILLIS LEASE 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 WILLIS LEASE and REVO INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WILLIS LEASE FIN and REVO INSURANCE SPA, you can compare the effects of market volatilities on WILLIS LEASE 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 WILLIS LEASE with a short position of REVO INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of WILLIS LEASE and REVO INSURANCE.
Diversification Opportunities for WILLIS LEASE and REVO INSURANCE
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between WILLIS and REVO is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding WILLIS LEASE FIN 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 WILLIS LEASE 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 WILLIS LEASE FIN 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 WILLIS LEASE i.e., WILLIS LEASE and REVO INSURANCE go up and down completely randomly.
Pair Corralation between WILLIS LEASE and REVO INSURANCE
Assuming the 90 days horizon WILLIS LEASE FIN is expected to generate 3.81 times more return on investment than REVO INSURANCE. However, WILLIS LEASE is 3.81 times more volatile than REVO INSURANCE SPA. It trades about 0.21 of its potential returns per unit of risk. REVO INSURANCE SPA is currently generating about 0.34 per unit of risk. If you would invest 11,686 in WILLIS LEASE FIN on September 19, 2024 and sell it today you would earn a total of 8,314 from holding WILLIS LEASE FIN or generate 71.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
WILLIS LEASE FIN vs. REVO INSURANCE SPA
Performance |
Timeline |
WILLIS LEASE FIN |
REVO INSURANCE SPA |
WILLIS LEASE and REVO INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WILLIS LEASE and REVO INSURANCE
The main advantage of trading using opposite WILLIS LEASE and REVO INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WILLIS LEASE 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.WILLIS LEASE vs. United Rentals | WILLIS LEASE vs. Superior Plus Corp | WILLIS LEASE vs. SIVERS SEMICONDUCTORS AB | WILLIS LEASE vs. Norsk Hydro ASA |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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