Correlation Between Yuexiu Transport and Burlington Stores
Can any of the company-specific risk be diversified away by investing in both Yuexiu Transport 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 Yuexiu Transport and Burlington Stores into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yuexiu Transport Infrastructure and Burlington Stores, you can compare the effects of market volatilities on Yuexiu Transport 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 Yuexiu Transport with a short position of Burlington Stores. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yuexiu Transport and Burlington Stores.
Diversification Opportunities for Yuexiu Transport and Burlington Stores
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Yuexiu and Burlington is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Yuexiu Transport Infrastructur and Burlington Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Burlington Stores and Yuexiu Transport 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 Yuexiu Transport Infrastructure 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 Yuexiu Transport i.e., Yuexiu Transport and Burlington Stores go up and down completely randomly.
Pair Corralation between Yuexiu Transport and Burlington Stores
Assuming the 90 days horizon Yuexiu Transport Infrastructure is expected to generate 0.71 times more return on investment than Burlington Stores. However, Yuexiu Transport Infrastructure is 1.41 times less risky than Burlington Stores. It trades about -0.09 of its potential returns per unit of risk. Burlington Stores is currently generating about -0.1 per unit of risk. If you would invest 48.00 in Yuexiu Transport Infrastructure on December 29, 2024 and sell it today you would lose (6.00) from holding Yuexiu Transport Infrastructure or give up 12.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Yuexiu Transport Infrastructur vs. Burlington Stores
Performance |
Timeline |
Yuexiu Transport Inf |
Burlington Stores |
Yuexiu Transport and Burlington Stores Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yuexiu Transport and Burlington Stores
The main advantage of trading using opposite Yuexiu Transport and Burlington Stores positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yuexiu Transport 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' long position.Yuexiu Transport vs. Transurban Group | Yuexiu Transport vs. Getlink SE | Yuexiu Transport vs. Jiangsu Expressway | Yuexiu Transport vs. Zhejiang Expressway Co |
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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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