Group 1 Stock Forecast - Triple Exponential Smoothing

GPI Stock  USD 417.34  11.57  2.85%   
The Triple Exponential Smoothing forecasted value of Group 1 Automotive on the next trading day is expected to be 419.17 with a mean absolute deviation of 6.39 and the sum of the absolute errors of 377.30. Group Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Group 1's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
As of now, Group 1's Payables Turnover is increasing as compared to previous years. The Group 1's current Receivables Turnover is estimated to increase to 40.28, while Inventory Turnover is projected to decrease to 4.98. . The Group 1's current Common Stock Shares Outstanding is estimated to increase to about 17.1 M. The Group 1's current Net Income Applicable To Common Shares is estimated to increase to about 881.8 M.

Open Interest Against 2024-11-15 Group Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Group 1's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Group 1's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Group 1 stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Group 1's open interest, investors have to compare it to Group 1's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Group 1 is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Group. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Triple exponential smoothing for Group 1 - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Group 1 prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Group 1 price movement. However, neither of these exponential smoothing models address any seasonality of Group 1 Automotive.

Group 1 Triple Exponential Smoothing Price Forecast For the 14th of November 2024

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Group 1 Automotive on the next trading day is expected to be 419.17 with a mean absolute deviation of 6.39, mean absolute percentage error of 70.59, and the sum of the absolute errors of 377.30.
Please note that although there have been many attempts to predict Group 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 Group 1's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Group 1 Stock Forecast Pattern

Backtest Group 1Group 1 Price PredictionBuy or Sell Advice 

Group 1 Forecasted Value

In the context of forecasting Group 1'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. Group 1's downside and upside margins for the forecasting period are 417.02 and 421.32, respectively. We have considered Group 1'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
417.34
417.02
Downside
419.17
Expected Value
421.32
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Group 1 stock data series using in forecasting. Note that when a statistical model is used to represent Group 1 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 CriteriaHuge
BiasArithmetic mean of the errors 0.4521
MADMean absolute deviation6.3948
MAPEMean absolute percentage error0.0172
SAESum of the absolute errors377.2952
As with simple exponential smoothing, in triple exponential smoothing models past Group 1 observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Group 1 Automotive observations.

Predictive Modules for Group 1

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Group 1 Automotive. 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
405.72407.87410.02
Details
Intrinsic
Valuation
LowRealHigh
336.33338.48446.35
Details
Bollinger
Band Projection (param)
LowMiddleHigh
326.43368.51410.59
Details
8 Analysts
Consensus
LowTargetHigh
298.48328.00364.08
Details

Other Forecasting Options for Group 1

For every potential investor in Group, whether a beginner or expert, Group 1's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Group Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Group. Basic forecasting techniques help filter out the noise by identifying Group 1's price trends.

Group 1 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 Group 1 stock to make a market-neutral strategy. Peer analysis of Group 1 could also be used in its relative valuation, which is a method of valuing Group 1 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Group 1 Automotive 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 Group 1'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 Group 1's current price.

Group 1 Market Strength Events

Market strength indicators help investors to evaluate how Group 1 stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Group 1 shares will generate the highest return on investment. By undertsting and applying Group 1 stock market strength indicators, traders can identify Group 1 Automotive entry and exit signals to maximize returns.

Group 1 Risk Indicators

The analysis of Group 1'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 Group 1's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting group 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 Group 1 Automotive offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Group 1'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 Group 1 Automotive Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Group 1 Automotive Stock:
Check out Historical Fundamental Analysis of Group 1 to cross-verify your projections.
You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Is Automotive Retail 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 Group 1. If investors know Group 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 Group 1 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
(0.25)
Dividend Share
0.47
Earnings Share
37.53
Revenue Per Share
1.4 K
Quarterly Revenue Growth
0.11
The market value of Group 1 Automotive is measured differently than its book value, which is the value of Group that is recorded on the company's balance sheet. Investors also form their own opinion of Group 1's value that differs from its market value or its book value, called intrinsic value, which is Group 1'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 Group 1's market value can be influenced by many factors that don't directly affect Group 1'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 Group 1's value and its price as these two are different measures arrived at by different means. Investors typically determine if Group 1 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Group 1'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.