Correlation Between Tillys and Shoe Carnival
Can any of the company-specific risk be diversified away by investing in both Tillys and Shoe Carnival 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 Tillys and Shoe Carnival into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tillys Inc and Shoe Carnival, you can compare the effects of market volatilities on Tillys and Shoe Carnival 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 Tillys with a short position of Shoe Carnival. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tillys and Shoe Carnival.
Diversification Opportunities for Tillys and Shoe Carnival
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Tillys and Shoe is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Tillys Inc and Shoe Carnival in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shoe Carnival and Tillys 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 Tillys Inc are associated (or correlated) with Shoe Carnival. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shoe Carnival has no effect on the direction of Tillys i.e., Tillys and Shoe Carnival go up and down completely randomly.
Pair Corralation between Tillys and Shoe Carnival
Given the investment horizon of 90 days Tillys Inc is expected to under-perform the Shoe Carnival. In addition to that, Tillys is 1.78 times more volatile than Shoe Carnival. It trades about -0.2 of its total potential returns per unit of risk. Shoe Carnival is currently generating about -0.3 per unit of volatility. If you would invest 3,417 in Shoe Carnival on December 28, 2024 and sell it today you would lose (1,202) from holding Shoe Carnival or give up 35.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tillys Inc vs. Shoe Carnival
Performance |
Timeline |
Tillys Inc |
Shoe Carnival |
Tillys and Shoe Carnival Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tillys and Shoe Carnival
The main advantage of trading using opposite Tillys and Shoe Carnival positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tillys position performs unexpectedly, Shoe Carnival 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 Shoe Carnival will offset losses from the drop in Shoe Carnival's long position.The idea behind Tillys Inc and Shoe Carnival pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Shoe Carnival vs. Appian Corp | Shoe Carnival vs. Okta Inc | Shoe Carnival vs. MongoDB | Shoe Carnival vs. Twilio Inc |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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