Correlation Between Tandy Leather and Ulta Beauty
Can any of the company-specific risk be diversified away by investing in both Tandy Leather and Ulta Beauty 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 Tandy Leather and Ulta Beauty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tandy Leather Factory and Ulta Beauty, you can compare the effects of market volatilities on Tandy Leather and Ulta Beauty 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 Tandy Leather with a short position of Ulta Beauty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tandy Leather and Ulta Beauty.
Diversification Opportunities for Tandy Leather and Ulta Beauty
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Tandy and Ulta is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Tandy Leather Factory and Ulta Beauty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ulta Beauty and Tandy Leather 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 Tandy Leather Factory are associated (or correlated) with Ulta Beauty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ulta Beauty has no effect on the direction of Tandy Leather i.e., Tandy Leather and Ulta Beauty go up and down completely randomly.
Pair Corralation between Tandy Leather and Ulta Beauty
Considering the 90-day investment horizon Tandy Leather Factory is expected to under-perform the Ulta Beauty. But the stock apears to be less risky and, when comparing its historical volatility, Tandy Leather Factory is 1.23 times less risky than Ulta Beauty. The stock trades about -0.12 of its potential returns per unit of risk. The Ulta Beauty is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 38,008 in Ulta Beauty on August 28, 2024 and sell it today you would lose (1,743) from holding Ulta Beauty or give up 4.59% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Tandy Leather Factory vs. Ulta Beauty
Performance |
| Timeline |
| Tandy Leather Factory |
| Ulta Beauty |
Tandy Leather and Ulta Beauty Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Tandy Leather and Ulta Beauty
The main advantage of trading using opposite Tandy Leather and Ulta Beauty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tandy Leather position performs unexpectedly, Ulta Beauty 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 Ulta Beauty will offset losses from the drop in Ulta Beauty's long position.| Tandy Leather vs. Green River Gold | Tandy Leather vs. Dixons Carphone plc | Tandy Leather vs. Ceconomy AG ADR | Tandy Leather vs. Winmark |
| Ulta Beauty vs. Williams Sonoma | Ulta Beauty vs. Dicks Sporting Goods | Ulta Beauty vs. Best Buy Co | Ulta Beauty vs. AutoZone |
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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