Correlation Between BURLINGTON STORES and ULTRA CLEAN
Can any of the company-specific risk be diversified away by investing in both BURLINGTON STORES and ULTRA CLEAN 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 BURLINGTON STORES and ULTRA CLEAN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BURLINGTON STORES and ULTRA CLEAN HLDGS, you can compare the effects of market volatilities on BURLINGTON STORES and ULTRA CLEAN 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 BURLINGTON STORES with a short position of ULTRA CLEAN. Check out your portfolio center. Please also check ongoing floating volatility patterns of BURLINGTON STORES and ULTRA CLEAN.
Diversification Opportunities for BURLINGTON STORES and ULTRA CLEAN
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between BURLINGTON and ULTRA is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding BURLINGTON STORES and ULTRA CLEAN HLDGS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ULTRA CLEAN HLDGS and BURLINGTON STORES 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 BURLINGTON STORES are associated (or correlated) with ULTRA CLEAN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ULTRA CLEAN HLDGS has no effect on the direction of BURLINGTON STORES i.e., BURLINGTON STORES and ULTRA CLEAN go up and down completely randomly.
Pair Corralation between BURLINGTON STORES and ULTRA CLEAN
Assuming the 90 days trading horizon BURLINGTON STORES is expected to generate 0.61 times more return on investment than ULTRA CLEAN. However, BURLINGTON STORES is 1.64 times less risky than ULTRA CLEAN. It trades about 0.1 of its potential returns per unit of risk. ULTRA CLEAN HLDGS is currently generating about -0.02 per unit of risk. If you would invest 21,000 in BURLINGTON STORES on September 3, 2024 and sell it today you would earn a total of 5,600 from holding BURLINGTON STORES or generate 26.67% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
BURLINGTON STORES vs. ULTRA CLEAN HLDGS
Performance |
| Timeline |
| BURLINGTON STORES |
| ULTRA CLEAN HLDGS |
BURLINGTON STORES and ULTRA CLEAN Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BURLINGTON STORES and ULTRA CLEAN
The main advantage of trading using opposite BURLINGTON STORES and ULTRA CLEAN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BURLINGTON STORES position performs unexpectedly, ULTRA CLEAN 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 ULTRA CLEAN will offset losses from the drop in ULTRA CLEAN's long position.| BURLINGTON STORES vs. ULTRA CLEAN HLDGS | BURLINGTON STORES vs. Clean Energy Fuels | BURLINGTON STORES vs. COSTCO WHOLESALE CDR | BURLINGTON STORES vs. PICKN PAY STORES |
| ULTRA CLEAN vs. TOTAL GABON | ULTRA CLEAN vs. Walgreens Boots Alliance | ULTRA CLEAN vs. Peak Resources Limited |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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