G III (Germany) Market Value
| GI4 Stock | 24.40 0.20 0.83% |
| Symbol | GI4 |
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.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in G III on December 16, 2024 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 90 days. G III is related to or competes with PSI Software, Suntory Beverage, MONEYSUPERMARKET, Sqs Software, FORMPIPE SOFTWARE, GWILLI FOOD, and SENECA FOODS-A. 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.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 19.51 | |||
| Value At Risk | (3.11) | |||
| Potential Upside | 3.42 |
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 | (0.08) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | 0.0646 | |||
| Treynor Ratio | 3.35 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of G III's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
G III Apparel Backtested Returns
G III Apparel holds Efficiency (Sharpe) Ratio of -0.22, which attests that the company had a -0.22 % return per unit of risk over the last 3 months. G III Apparel exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out G III's coefficient of variation of (1,046), and Standard Deviation of 2.52 to validate the risk estimate we provide. The firm retains a Market Volatility (i.e., Beta) of -0.0749, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning G III are expected to decrease at a much lower rate. During the bear market, G III is likely to outperform the market. At this point, G III Apparel has a negative expected return of -0.47%. Please make sure to check out G III's jensen alpha, value at risk, accumulation distribution, as well as the relationship between the treynor ratio and skewness , to decide if G III Apparel performance from the past will be repeated sooner or later.
Auto-correlation | 0.65 |
Good predictability
G III Apparel Group has good predictability. Overlapping area represents the amount of predictability between G III time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 0.65 indicates that roughly 65.0% of current G III price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 4.82 |
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 |
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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 |
Thematic Opportunities
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Additional Tools for GI4 Stock Analysis
When running G III's price analysis, check to measure G III's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy G III is operating at the current time. Most of G III's value examination focuses on studying past and present price action to predict the probability of G III's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move G III's price. Additionally, you may evaluate how the addition of G III to your portfolios can decrease your overall portfolio volatility.