Correlation Between SERI INDUSTRIAL and WILLIS LEASE
Can any of the company-specific risk be diversified away by investing in both SERI INDUSTRIAL and WILLIS LEASE 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 SERI INDUSTRIAL and WILLIS LEASE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SERI INDUSTRIAL EO and WILLIS LEASE FIN, you can compare the effects of market volatilities on SERI INDUSTRIAL and WILLIS LEASE 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 SERI INDUSTRIAL with a short position of WILLIS LEASE. Check out your portfolio center. Please also check ongoing floating volatility patterns of SERI INDUSTRIAL and WILLIS LEASE.
Diversification Opportunities for SERI INDUSTRIAL and WILLIS LEASE
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SERI and WILLIS is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding SERI INDUSTRIAL EO and WILLIS LEASE FIN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WILLIS LEASE FIN and SERI INDUSTRIAL 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 SERI INDUSTRIAL EO are associated (or correlated) with WILLIS LEASE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WILLIS LEASE FIN has no effect on the direction of SERI INDUSTRIAL i.e., SERI INDUSTRIAL and WILLIS LEASE go up and down completely randomly.
Pair Corralation between SERI INDUSTRIAL and WILLIS LEASE
Assuming the 90 days trading horizon SERI INDUSTRIAL EO is expected to generate 1.35 times more return on investment than WILLIS LEASE. However, SERI INDUSTRIAL is 1.35 times more volatile than WILLIS LEASE FIN. It trades about 0.05 of its potential returns per unit of risk. WILLIS LEASE FIN is currently generating about -0.1 per unit of risk. If you would invest 234.00 in SERI INDUSTRIAL EO on October 26, 2024 and sell it today you would earn a total of 5.00 from holding SERI INDUSTRIAL EO or generate 2.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SERI INDUSTRIAL EO vs. WILLIS LEASE FIN
Performance |
Timeline |
SERI INDUSTRIAL EO |
WILLIS LEASE FIN |
SERI INDUSTRIAL and WILLIS LEASE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SERI INDUSTRIAL and WILLIS LEASE
The main advantage of trading using opposite SERI INDUSTRIAL and WILLIS LEASE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SERI INDUSTRIAL position performs unexpectedly, WILLIS LEASE 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 WILLIS LEASE will offset losses from the drop in WILLIS LEASE's long position.SERI INDUSTRIAL vs. CanSino Biologics | SERI INDUSTRIAL vs. SENECA FOODS A | SERI INDUSTRIAL vs. CHINA EDUCATION GROUP | SERI INDUSTRIAL vs. Tyson Foods |
WILLIS LEASE vs. LPKF Laser Electronics | WILLIS LEASE vs. De Grey Mining | WILLIS LEASE vs. Richardson Electronics | WILLIS LEASE vs. KIMBALL ELECTRONICS |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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