Correlation Between Lakeland Industries and G III
Can any of the company-specific risk be diversified away by investing in both Lakeland Industries and G III 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 Lakeland Industries and G III into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lakeland Industries and G III Apparel Group, you can compare the effects of market volatilities on Lakeland Industries and G III 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 Lakeland Industries with a short position of G III. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lakeland Industries and G III.
Diversification Opportunities for Lakeland Industries and G III
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Lakeland and GIII is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Lakeland Industries and G III Apparel Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on G III Apparel and Lakeland Industries 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 Lakeland Industries are associated (or correlated) with G III. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of G III Apparel has no effect on the direction of Lakeland Industries i.e., Lakeland Industries and G III go up and down completely randomly.
Pair Corralation between Lakeland Industries and G III
Given the investment horizon of 90 days Lakeland Industries is expected to generate 1.56 times more return on investment than G III. However, Lakeland Industries is 1.56 times more volatile than G III Apparel Group. It trades about 0.08 of its potential returns per unit of risk. G III Apparel Group is currently generating about -0.04 per unit of risk. If you would invest 2,082 in Lakeland Industries on August 25, 2024 and sell it today you would earn a total of 79.00 from holding Lakeland Industries or generate 3.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lakeland Industries vs. G III Apparel Group
Performance |
| Timeline |
| Lakeland Industries |
| G III Apparel |
Lakeland Industries and G III Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lakeland Industries and G III
The main advantage of trading using opposite Lakeland Industries and G III positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lakeland Industries position performs unexpectedly, G III 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 G III will offset losses from the drop in G III's long position.| Lakeland Industries vs. Vince Holding Corp | Lakeland Industries vs. Oxford Industries | Lakeland Industries vs. Gildan Activewear | Lakeland Industries vs. Columbia Sportswear |
| G III vs. Oxford Industries | G III vs. Ermenegildo Zegna NV | G III vs. Kontoor Brands | G III vs. Columbia Sportswear |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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