G III Stock Forecast - Polynomial Regression

GIII Stock  USD 29.22  0.66  2.31%   
The Polynomial Regression forecasted value of G III Apparel Group on the next trading day is expected to be 30.16 with a mean absolute deviation of 1.06 and the sum of the absolute errors of 64.82. GIII Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of G III's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
The G III's current Inventory Turnover is estimated to increase to 4.97. The G III's current Payables Turnover is estimated to increase to 27.24. The current Common Stock Shares Outstanding is estimated to decrease to about 34.7 M. The G III's current Net Loss is estimated to increase to about (145.4 M).
G III polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for G III Apparel Group as well as the accuracy indicators are determined from the period prices.

G III Polynomial Regression Price Forecast For the 22nd of November

Given 90 days horizon, the Polynomial Regression forecasted value of G III Apparel Group on the next trading day is expected to be 30.16 with a mean absolute deviation of 1.06, mean absolute percentage error of 1.66, and the sum of the absolute errors of 64.82.
Please note that although there have been many attempts to predict GIII Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that G III's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

G III Stock Forecast Pattern

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G III Forecasted Value

In the context of forecasting G III's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. G III's downside and upside margins for the forecasting period are 26.67 and 33.66, respectively. We have considered G III's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
29.22
30.16
Expected Value
33.66
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of G III stock data series using in forecasting. Note that when a statistical model is used to represent G III stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria118.6143
BiasArithmetic mean of the errors None
MADMean absolute deviation1.0625
MAPEMean absolute percentage error0.0356
SAESum of the absolute errors64.8153
A single variable polynomial regression model attempts to put a curve through the G III historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for G III

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as G III Apparel. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
24.9928.4831.97
Details
Intrinsic
Valuation
LowRealHigh
23.2826.7730.26
Details
Bollinger
Band Projection (param)
LowMiddleHigh
28.8630.5532.23
Details
6 Analysts
Consensus
LowTargetHigh
22.4524.6727.38
Details

Other Forecasting Options for G III

For every potential investor in GIII, whether a beginner or expert, G III's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GIII Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GIII. Basic forecasting techniques help filter out the noise by identifying G III's price trends.

G III Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with G III stock to make a market-neutral strategy. Peer analysis of G III could also be used in its relative valuation, which is a method of valuing G III by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

G III Apparel Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of G III's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of G III's current price.

G III Market Strength Events

Market strength indicators help investors to evaluate how G III stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading G III shares will generate the highest return on investment. By undertsting and applying G III stock market strength indicators, traders can identify G III Apparel Group entry and exit signals to maximize returns.

G III Risk Indicators

The analysis of G III's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in G III's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting giii stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Currently Active Assets on Macroaxis

When determining whether G III Apparel offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of G III's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of G Iii Apparel Group Stock. Outlined below are crucial reports that will aid in making a well-informed decision on G Iii Apparel Group Stock:
Check out Historical Fundamental Analysis of G III to cross-verify your projections.
You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
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
3.98
Revenue Per Share
68.024
Quarterly Revenue Growth
(0.02)
Return On Assets
0.0696
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.