GM Stock Forecast - Naive Prediction

GM Stock  USD 55.68  0.81  1.48%   
The Naive Prediction forecasted value of General Motors on the next trading day is expected to be 54.33 with a mean absolute deviation of 1.02 and the sum of the absolute errors of 63.49. GM Stock Forecast is based on your current time horizon. Although GM's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of GM's systematic risk associated with finding meaningful patterns of GM fundamentals over time.
  
At this time, GM's Inventory Turnover is very stable compared to the past year. As of the 22nd of November 2024, Payables Turnover is likely to grow to 6.28, while Receivables Turnover is likely to drop 3.17. . As of the 22nd of November 2024, Common Stock Shares Outstanding is likely to grow to about 1.5 B. Also, Net Income Applicable To Common Shares is likely to grow to about 8.8 B.

GM Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the GM's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2005-12-31
Previous Quarter
25.2 B
Current Value
23.7 B
Quarterly Volatility
4.7 B
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for GM is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of General Motors value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

GM Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of General Motors on the next trading day is expected to be 54.33 with a mean absolute deviation of 1.02, mean absolute percentage error of 1.74, and the sum of the absolute errors of 63.49.
Please note that although there have been many attempts to predict GM 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 GM's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

GM Stock Forecast Pattern

Backtest GMGM Price PredictionBuy or Sell Advice 

GM Forecasted Value

In the context of forecasting GM'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. GM's downside and upside margins for the forecasting period are 52.15 and 56.51, respectively. We have considered GM'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
55.68
54.33
Expected Value
56.51
Upside

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 GM stock data series using in forecasting. Note that when a statistical model is used to represent GM 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 Criteria120.5045
BiasArithmetic mean of the errors None
MADMean absolute deviation1.024
MAPEMean absolute percentage error0.0206
SAESum of the absolute errors63.4867
This model is not at all useful as a medium-long range forecasting tool of General Motors. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict GM. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for GM

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as General Motors. 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
53.5455.7057.86
Details
Intrinsic
Valuation
LowRealHigh
51.6753.8355.99
Details
Bollinger
Band Projection (param)
LowMiddleHigh
49.2254.1359.05
Details
28 Analysts
Consensus
LowTargetHigh
43.9948.3453.66
Details

Other Forecasting Options for GM

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

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

General Motors 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 GM'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 GM's current price.

GM Market Strength Events

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

GM Risk Indicators

The analysis of GM'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 GM's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gm 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.

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Check out Historical Fundamental Analysis of GM to cross-verify your projections.
You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Is Automobile Manufacturers 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 GM. If investors know GM 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 GM 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
0.218
Dividend Share
0.45
Earnings Share
9.37
Revenue Per Share
155.11
Quarterly Revenue Growth
0.105
The market value of General Motors is measured differently than its book value, which is the value of GM that is recorded on the company's balance sheet. Investors also form their own opinion of GM's value that differs from its market value or its book value, called intrinsic value, which is GM'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 GM's market value can be influenced by many factors that don't directly affect GM'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 GM's value and its price as these two are different measures arrived at by different means. Investors typically determine if GM is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, GM'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.