Correlation Between Dicks Sporting and Lulus Fashion
Can any of the company-specific risk be diversified away by investing in both Dicks Sporting and Lulus Fashion 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 Dicks Sporting and Lulus Fashion into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dicks Sporting Goods and Lulus Fashion Lounge, you can compare the effects of market volatilities on Dicks Sporting and Lulus Fashion 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 Dicks Sporting with a short position of Lulus Fashion. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dicks Sporting and Lulus Fashion.
Diversification Opportunities for Dicks Sporting and Lulus Fashion
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dicks and Lulus is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Dicks Sporting Goods and Lulus Fashion Lounge in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lulus Fashion Lounge and Dicks Sporting 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 Dicks Sporting Goods are associated (or correlated) with Lulus Fashion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lulus Fashion Lounge has no effect on the direction of Dicks Sporting i.e., Dicks Sporting and Lulus Fashion go up and down completely randomly.
Pair Corralation between Dicks Sporting and Lulus Fashion
Considering the 90-day investment horizon Dicks Sporting Goods is expected to generate 0.37 times more return on investment than Lulus Fashion. However, Dicks Sporting Goods is 2.67 times less risky than Lulus Fashion. It trades about 0.03 of its potential returns per unit of risk. Lulus Fashion Lounge is currently generating about -0.03 per unit of risk. If you would invest 21,268 in Dicks Sporting Goods on September 26, 2024 and sell it today you would earn a total of 1,253 from holding Dicks Sporting Goods or generate 5.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dicks Sporting Goods vs. Lulus Fashion Lounge
Performance |
Timeline |
Dicks Sporting Goods |
Lulus Fashion Lounge |
Dicks Sporting and Lulus Fashion Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dicks Sporting and Lulus Fashion
The main advantage of trading using opposite Dicks Sporting and Lulus Fashion positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dicks Sporting position performs unexpectedly, Lulus Fashion 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 Lulus Fashion will offset losses from the drop in Lulus Fashion's long position.Dicks Sporting vs. RH | Dicks Sporting vs. AutoZone | Dicks Sporting vs. Best Buy Co | Dicks Sporting vs. Ulta Beauty |
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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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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