Group 1 Stock Forecast - Naive Prediction
| GPI Stock | USD 425.80 1.96 0.46% |
The Naive Prediction forecasted value of Group 1 Automotive on the next trading day is expected to be 411.98 with a mean absolute deviation of 8.53 and the sum of the absolute errors of 528.57. 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.
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Group 1 Cash Forecast
Predicting cash flow or other financial metrics requires analysts to utilize a variety of statistical methods, techniques, and algorithms. These tools help uncover hidden patterns in the Group 1's financial statements, enabling forecasts of their impact on future stock prices.
Cash | First Reported 1997-09-30 | Previous Quarter 64.4 M | Current Value 58.7 M | Quarterly Volatility 45.4 M |
Group 1 Naive Prediction Price Forecast For the 1st of December
Given 90 days horizon, the Naive Prediction forecasted value of Group 1 Automotive on the next trading day is expected to be 411.98 with a mean absolute deviation of 8.53, mean absolute percentage error of 107.99, and the sum of the absolute errors of 528.57.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 1 | Group 1 Price Prediction | Buy 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 409.76 and 414.20, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction 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.| AIC | Akaike Information Criteria | 124.6305 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 8.5253 |
| MAPE | Mean absolute percentage error | 0.0226 |
| SAE | Sum of the absolute errors | 528.5699 |
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.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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Accumulation Distribution | 1015.44 | |||
| Daily Balance Of Power | (0.21) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 429.86 | |||
| Day Typical Price | 428.5 | |||
| Market Facilitation Index | 2.0E-4 | |||
| Price Action Indicator | (5.03) | |||
| Period Momentum Indicator | (1.96) | |||
| Relative Strength Index | 70.23 |
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.
| Mean Deviation | 1.63 | |||
| Semi Deviation | 1.51 | |||
| Standard Deviation | 2.2 | |||
| Variance | 4.84 | |||
| Downside Variance | 2.99 | |||
| Semi Variance | 2.27 | |||
| Expected Short fall | (1.90) |
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.
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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 CEOs Directory module to screen CEOs from public companies around the world.
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 37.56 | 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.