G Iii Apparel Group Stock Market Value
GIII Stock | USD 32.77 0.01 0.03% |
Symbol | GIII |
G III Apparel Price To Book Ratio
Is Apparel, Accessories & Luxury Goods space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of G III. If investors know GIII will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about G III listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.514 | Earnings Share 3.79 | Revenue Per Share | Quarterly Revenue Growth (0.02) | Return On Assets |
The market value of G III Apparel is measured differently than its book value, which is the value of GIII that is recorded on the company's balance sheet. Investors also form their own opinion of G III's value that differs from its market value or its book value, called intrinsic value, which is G III's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because G III's market value can be influenced by many factors that don't directly affect G III's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between G III's value and its price as these two are different measures arrived at by different means. Investors typically determine if G III is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, G III's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
G III 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to G III's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of G III.
01/23/2022 |
| 01/07/2025 |
If you would invest 0.00 in G III on January 23, 2022 and sell it all today you would earn a total of 0.00 from holding G III Apparel Group or generate 0.0% return on investment in G III over 1080 days. G III is related to or competes with Oxford Industries, Ermenegildo Zegna, Kontoor Brands, Columbia Sportswear, Vince Holding, Gildan Activewear, and PVH Corp. G-III Apparel Group, Ltd. designs, sources, and markets womens and mens apparel in the United States and internationally More
G III Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure G III's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess G III Apparel Group upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.96 | |||
Information Ratio | 0.0359 | |||
Maximum Drawdown | 14.34 | |||
Value At Risk | (3.21) | |||
Potential Upside | 4.18 |
G III Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for G III's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as G III's standard deviation. In reality, there are many statistical measures that can use G III historical prices to predict the future G III's volatility.Risk Adjusted Performance | 0.0432 | |||
Jensen Alpha | 0.1009 | |||
Total Risk Alpha | 0.0639 | |||
Sortino Ratio | 0.0457 | |||
Treynor Ratio | 1.45 |
G III Apparel Backtested Returns
G III is very steady at the moment. G III Apparel holds Efficiency (Sharpe) Ratio of 0.0629, which attests that the company had a 0.0629% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for G III Apparel, which you can use to evaluate the volatility of the entity. Please check out G III's semi deviation of 1.87, and Downside Deviation of 1.96 to validate if the risk estimate we provide is consistent with the expected return of 0.15%. G III has a performance score of 4 on a scale of 0 to 100. The firm retains a Market Volatility (i.e., Beta) of 0.0702, which attests to not very significant fluctuations relative to the market. As returns on the market increase, G III's returns are expected to increase less than the market. However, during the bear market, the loss of holding G III is expected to be smaller as well. G III Apparel today retains a risk of 2.39%. Please check out G III jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to decide if G III will be following its current trending patterns.
Auto-correlation | 0.70 |
Good predictability
G III Apparel Group has good predictability. Overlapping area represents the amount of predictability between G III time series from 23rd of January 2022 to 17th of July 2023 and 17th of July 2023 to 7th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of G III Apparel price movement. The serial correlation of 0.7 indicates that around 70.0% of current G III price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.7 | |
Spearman Rank Test | 0.59 | |
Residual Average | 0.0 | |
Price Variance | 21.55 |
G III Apparel lagged returns against current returns
Autocorrelation, which is G III stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting G III's stock expected returns. We can calculate the autocorrelation of G III returns to help us make a trade decision. For example, suppose you find that G III has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
G III regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If G III stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if G III stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in G III stock over time.
Current vs Lagged Prices |
Timeline |
G III Lagged Returns
When evaluating G III's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of G III stock have on its future price. G III autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, G III autocorrelation shows the relationship between G III stock current value and its past values and can show if there is a momentum factor associated with investing in G III Apparel Group.
Regressed Prices |
Timeline |
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Check out G III Correlation, G III Volatility and G III Alpha and Beta module to complement your research on G III. You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
G III technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.