Correlation Between Loop Industries and Calumet Specialty
Can any of the company-specific risk be diversified away by investing in both Loop Industries and Calumet Specialty 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 Loop Industries and Calumet Specialty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loop Industries and Calumet Specialty Products, you can compare the effects of market volatilities on Loop Industries and Calumet Specialty 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 Loop Industries with a short position of Calumet Specialty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loop Industries and Calumet Specialty.
Diversification Opportunities for Loop Industries and Calumet Specialty
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Loop and Calumet is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Loop Industries and Calumet Specialty Products in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calumet Specialty and Loop Industries 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 Loop Industries are associated (or correlated) with Calumet Specialty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calumet Specialty has no effect on the direction of Loop Industries i.e., Loop Industries and Calumet Specialty go up and down completely randomly.
Pair Corralation between Loop Industries and Calumet Specialty
Given the investment horizon of 90 days Loop Industries is expected to generate 2.51 times more return on investment than Calumet Specialty. However, Loop Industries is 2.51 times more volatile than Calumet Specialty Products. It trades about 0.15 of its potential returns per unit of risk. Calumet Specialty Products is currently generating about 0.18 per unit of risk. If you would invest 99.00 in Loop Industries on May 7, 2025 and sell it today you would earn a total of 73.00 from holding Loop Industries or generate 73.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Loop Industries vs. Calumet Specialty Products
Performance |
Timeline |
Loop Industries |
Calumet Specialty |
Loop Industries and Calumet Specialty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loop Industries and Calumet Specialty
The main advantage of trading using opposite Loop Industries and Calumet Specialty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loop Industries position performs unexpectedly, Calumet Specialty 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 Calumet Specialty will offset losses from the drop in Calumet Specialty's long position.Loop Industries vs. H B Fuller | Loop Industries vs. Element Solutions | Loop Industries vs. Innospec | Loop Industries vs. Cabot |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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