Correlation Between Burlington Stores and Qantas Airways
Can any of the company-specific risk be diversified away by investing in both Burlington Stores and Qantas Airways 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 Qantas Airways into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Burlington Stores and Qantas Airways Limited, you can compare the effects of market volatilities on Burlington Stores and Qantas Airways 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 Qantas Airways. Check out your portfolio center. Please also check ongoing floating volatility patterns of Burlington Stores and Qantas Airways.
Diversification Opportunities for Burlington Stores and Qantas Airways
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Burlington and Qantas is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Burlington Stores and Qantas Airways Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qantas Airways 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 Qantas Airways. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qantas Airways has no effect on the direction of Burlington Stores i.e., Burlington Stores and Qantas Airways go up and down completely randomly.
Pair Corralation between Burlington Stores and Qantas Airways
Assuming the 90 days trading horizon Burlington Stores is expected to generate 1.28 times more return on investment than Qantas Airways. However, Burlington Stores is 1.28 times more volatile than Qantas Airways Limited. It trades about 0.04 of its potential returns per unit of risk. Qantas Airways Limited is currently generating about 0.04 per unit of risk. If you would invest 20,600 in Burlington Stores on October 4, 2024 and sell it today you would earn a total of 7,200 from holding Burlington Stores or generate 34.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Burlington Stores vs. Qantas Airways Limited
Performance |
Timeline |
Burlington Stores |
Qantas Airways |
Burlington Stores and Qantas Airways Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Burlington Stores and Qantas Airways
The main advantage of trading using opposite Burlington Stores and Qantas Airways positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Burlington Stores position performs unexpectedly, Qantas Airways 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 Qantas Airways will offset losses from the drop in Qantas Airways' long position.Burlington Stores vs. MCEWEN MINING INC | Burlington Stores vs. Treasury Wine Estates | Burlington Stores vs. Harmony Gold Mining | Burlington Stores vs. American Eagle Outfitters |
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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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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