Correlation Between Etsy and Five Below
Can any of the company-specific risk be diversified away by investing in both Etsy and Five Below 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 Etsy and Five Below into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Etsy Inc and Five Below, you can compare the effects of market volatilities on Etsy and Five Below 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 Etsy with a short position of Five Below. Check out your portfolio center. Please also check ongoing floating volatility patterns of Etsy and Five Below.
Diversification Opportunities for Etsy and Five Below
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Etsy and Five is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Etsy Inc and Five Below in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Five Below and Etsy 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 Etsy Inc are associated (or correlated) with Five Below. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Five Below has no effect on the direction of Etsy i.e., Etsy and Five Below go up and down completely randomly.
Pair Corralation between Etsy and Five Below
Given the investment horizon of 90 days Etsy Inc is expected to generate 0.84 times more return on investment than Five Below. However, Etsy Inc is 1.19 times less risky than Five Below. It trades about -0.11 of its potential returns per unit of risk. Five Below is currently generating about -0.17 per unit of risk. If you would invest 7,587 in Etsy Inc on January 20, 2024 and sell it today you would lose (911.00) from holding Etsy Inc or give up 12.01% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Etsy Inc vs. Five Below
Performance |
| Timeline |
| Etsy Inc |
| Five Below |
Etsy and Five Below Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Etsy and Five Below
The main advantage of trading using opposite Etsy and Five Below positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Etsy position performs unexpectedly, Five Below 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 Five Below will offset losses from the drop in Five Below's long position.The idea behind Etsy Inc and Five Below 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.| Five Below vs. OReilly Automotive | Five Below vs. AutoZone | Five Below vs. Genuine Parts Co | Five Below vs. Williams Sonoma |
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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