Correlation Between TFS FINANCIAL and Burlington Stores
Can any of the company-specific risk be diversified away by investing in both TFS FINANCIAL 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 TFS FINANCIAL and Burlington Stores into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TFS FINANCIAL and Burlington Stores, you can compare the effects of market volatilities on TFS FINANCIAL 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 TFS FINANCIAL with a short position of Burlington Stores. Check out your portfolio center. Please also check ongoing floating volatility patterns of TFS FINANCIAL and Burlington Stores.
Diversification Opportunities for TFS FINANCIAL and Burlington Stores
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between TFS and Burlington is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding TFS FINANCIAL and Burlington Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Burlington Stores and TFS FINANCIAL 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 TFS FINANCIAL 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 TFS FINANCIAL i.e., TFS FINANCIAL and Burlington Stores go up and down completely randomly.
Pair Corralation between TFS FINANCIAL and Burlington Stores
Assuming the 90 days trading horizon TFS FINANCIAL is expected to generate 2.7 times less return on investment than Burlington Stores. But when comparing it to its historical volatility, TFS FINANCIAL is 1.43 times less risky than Burlington Stores. It trades about 0.02 of its potential returns per unit of risk. Burlington Stores is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 19,200 in Burlington Stores on September 19, 2024 and sell it today you would earn a total of 8,400 from holding Burlington Stores or generate 43.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
TFS FINANCIAL vs. Burlington Stores
Performance |
Timeline |
TFS FINANCIAL |
Burlington Stores |
TFS FINANCIAL and Burlington Stores Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TFS FINANCIAL and Burlington Stores
The main advantage of trading using opposite TFS FINANCIAL and Burlington Stores positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TFS FINANCIAL 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.TFS FINANCIAL vs. PUBLIC STORAGE PRFO | TFS FINANCIAL vs. DATAGROUP SE | TFS FINANCIAL vs. Pure Storage | TFS FINANCIAL vs. DIVERSIFIED ROYALTY |
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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 Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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