Correlation Between CECO Environmental and Shimmick Common
Can any of the company-specific risk be diversified away by investing in both CECO Environmental and Shimmick Common 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 CECO Environmental and Shimmick Common into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CECO Environmental Corp and Shimmick Common, you can compare the effects of market volatilities on CECO Environmental and Shimmick Common 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 CECO Environmental with a short position of Shimmick Common. Check out your portfolio center. Please also check ongoing floating volatility patterns of CECO Environmental and Shimmick Common.
Diversification Opportunities for CECO Environmental and Shimmick Common
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CECO and Shimmick is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding CECO Environmental Corp and Shimmick Common in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shimmick Common and CECO Environmental 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 CECO Environmental Corp are associated (or correlated) with Shimmick Common. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shimmick Common has no effect on the direction of CECO Environmental i.e., CECO Environmental and Shimmick Common go up and down completely randomly.
Pair Corralation between CECO Environmental and Shimmick Common
Given the investment horizon of 90 days CECO Environmental is expected to generate 1.01 times less return on investment than Shimmick Common. But when comparing it to its historical volatility, CECO Environmental Corp is 1.69 times less risky than Shimmick Common. It trades about 0.08 of its potential returns per unit of risk. Shimmick Common is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 249.00 in Shimmick Common on October 5, 2024 and sell it today you would earn a total of 20.00 from holding Shimmick Common or generate 8.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CECO Environmental Corp vs. Shimmick Common
Performance |
Timeline |
CECO Environmental Corp |
Shimmick Common |
CECO Environmental and Shimmick Common Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CECO Environmental and Shimmick Common
The main advantage of trading using opposite CECO Environmental and Shimmick Common positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CECO Environmental position performs unexpectedly, Shimmick Common 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 Shimmick Common will offset losses from the drop in Shimmick Common's long position.CECO Environmental vs. Federal Signal | CECO Environmental vs. Zurn Elkay Water | CECO Environmental vs. Fuel Tech | CECO Environmental vs. Energy Recovery |
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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 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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