Correlation Between LONDON STEXUNSPADRS1/2 and BURLINGTON STORES
Can any of the company-specific risk be diversified away by investing in both LONDON STEXUNSPADRS1/2 and BURLINGTON STORES 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 LONDON STEXUNSPADRS1/2 and BURLINGTON STORES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LONDON STEXUNSPADRS12 and BURLINGTON STORES, you can compare the effects of market volatilities on LONDON STEXUNSPADRS1/2 and BURLINGTON STORES 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 LONDON STEXUNSPADRS1/2 with a short position of BURLINGTON STORES. Check out your portfolio center. Please also check ongoing floating volatility patterns of LONDON STEXUNSPADRS1/2 and BURLINGTON STORES.
Diversification Opportunities for LONDON STEXUNSPADRS1/2 and BURLINGTON STORES
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between LONDON and BURLINGTON is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding LONDON STEXUNSPADRS12 and BURLINGTON STORES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BURLINGTON STORES and LONDON STEXUNSPADRS1/2 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 LONDON STEXUNSPADRS12 are associated (or correlated) with BURLINGTON STORES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BURLINGTON STORES has no effect on the direction of LONDON STEXUNSPADRS1/2 i.e., LONDON STEXUNSPADRS1/2 and BURLINGTON STORES go up and down completely randomly.
Pair Corralation between LONDON STEXUNSPADRS1/2 and BURLINGTON STORES
Assuming the 90 days trading horizon LONDON STEXUNSPADRS12 is expected to generate 0.79 times more return on investment than BURLINGTON STORES. However, LONDON STEXUNSPADRS12 is 1.26 times less risky than BURLINGTON STORES. It trades about 0.0 of its potential returns per unit of risk. BURLINGTON STORES is currently generating about -0.13 per unit of risk. If you would invest 3,340 in LONDON STEXUNSPADRS12 on December 23, 2024 and sell it today you would lose (60.00) from holding LONDON STEXUNSPADRS12 or give up 1.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LONDON STEXUNSPADRS12 vs. BURLINGTON STORES
Performance |
Timeline |
LONDON STEXUNSPADRS1/2 |
BURLINGTON STORES |
LONDON STEXUNSPADRS1/2 and BURLINGTON STORES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LONDON STEXUNSPADRS1/2 and BURLINGTON STORES
The main advantage of trading using opposite LONDON STEXUNSPADRS1/2 and BURLINGTON STORES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LONDON STEXUNSPADRS1/2 position performs unexpectedly, BURLINGTON STORES 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 BURLINGTON STORES will offset losses from the drop in BURLINGTON STORES's long position.LONDON STEXUNSPADRS1/2 vs. Constellation Software | LONDON STEXUNSPADRS1/2 vs. Axway Software SA | LONDON STEXUNSPADRS1/2 vs. Check Point Software | LONDON STEXUNSPADRS1/2 vs. OPERA SOFTWARE |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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