Correlation Between Tillys and Guess
Can any of the company-specific risk be diversified away by investing in both Tillys and Guess 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 Guess into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tillys Inc and Guess Inc, you can compare the effects of market volatilities on Tillys and Guess 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 Guess. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tillys and Guess.
Diversification Opportunities for Tillys and Guess
Excellent diversification
The 3 months correlation between Tillys and Guess is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Tillys Inc and Guess Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guess Inc 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 Guess. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guess Inc has no effect on the direction of Tillys i.e., Tillys and Guess go up and down completely randomly.
Pair Corralation between Tillys and Guess
Given the investment horizon of 90 days Tillys Inc is expected to under-perform the Guess. But the stock apears to be less risky and, when comparing its historical volatility, Tillys Inc is 1.27 times less risky than Guess. The stock trades about -0.01 of its potential returns per unit of risk. The Guess Inc is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,653 in Guess Inc on February 9, 2024 and sell it today you would earn a total of 1,004 from holding Guess Inc or generate 60.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tillys Inc vs. Guess Inc
Performance |
Timeline |
Tillys Inc |
Guess Inc |
Tillys and Guess Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tillys and Guess
The main advantage of trading using opposite Tillys and Guess positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tillys position performs unexpectedly, Guess 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 Guess will offset losses from the drop in Guess' long position.The idea behind Tillys Inc and Guess Inc 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.Guess vs. American Eagle Outfitters | Guess vs. Abercrombie Fitch | Guess vs. Urban Outfitters | Guess vs. Foot Locker |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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