Shyft Stock Forecast - Naive Prediction

SHYF Stock  USD 12.67  0.02  0.16%   
The Naive Prediction forecasted value of Shyft Group on the next trading day is expected to be 11.71 with a mean absolute deviation of  0.34  and the sum of the absolute errors of 21.07. Shyft Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Shyft stock prices and determine the direction of Shyft Group's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Shyft's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Shyft's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Shyft's systematic risk associated with finding meaningful patterns of Shyft fundamentals over time.
Check out Historical Fundamental Analysis of Shyft to cross-verify your projections.
  
At this time, Shyft's Receivables Turnover is most likely to slightly decrease in the upcoming years. The Shyft's current Asset Turnover is estimated to increase to 2.45, while Inventory Turnover is projected to decrease to 5.35. . The Shyft's current Common Stock Shares Outstanding is estimated to increase to about 35.1 M. The Shyft's current Net Income Applicable To Common Shares is estimated to increase to about 44.1 M.

Open Interest Against 2024-06-21 Shyft Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Shyft'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 Shyft's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Shyft 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 Shyft's open interest, investors have to compare it to Shyft'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 Shyft 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 Shyft. 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.
Most investors in Shyft cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Shyft's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Shyft's price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Shyft is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Shyft Group 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.

Shyft Naive Prediction Price Forecast For the 2nd of June

Given 90 days horizon, the Naive Prediction forecasted value of Shyft Group on the next trading day is expected to be 11.71 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.18, and the sum of the absolute errors of 21.07.
Please note that although there have been many attempts to predict Shyft 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 Shyft's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Shyft Stock Forecast Pattern

Backtest ShyftShyft Price PredictionBuy or Sell Advice 

Shyft Forecasted Value

In the context of forecasting Shyft'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. Shyft's downside and upside margins for the forecasting period are 8.80 and 14.63, respectively. We have considered Shyft'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
12.67
11.71
Expected Value
14.63
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 Shyft stock data series using in forecasting. Note that when a statistical model is used to represent Shyft 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 Criteria118.2115
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3398
MAPEMean absolute percentage error0.0294
SAESum of the absolute errors21.0662
This model is not at all useful as a medium-long range forecasting tool of Shyft Group. 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 Shyft. 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 Shyft

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Shyft Group. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Shyft'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.
Hype
Prediction
LowEstimatedHigh
9.5912.5115.43
Details
Intrinsic
Valuation
LowRealHigh
11.4016.1119.03
Details
Bollinger
Band Projection (param)
LowMiddleHigh
10.5712.0413.51
Details
4 Analysts
Consensus
LowTargetHigh
16.3818.0019.98
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Shyft. Your research has to be compared to or analyzed against Shyft's peers to derive any actionable benefits. When done correctly, Shyft's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Shyft Group.

Other Forecasting Options for Shyft

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

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

Shyft Group 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 Shyft'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 Shyft's current price.

Shyft Market Strength Events

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

Shyft Risk Indicators

The analysis of Shyft'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 Shyft's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting shyft 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 Shyft Group is a strong investment it is important to analyze Shyft's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Shyft's future performance. For an informed investment choice regarding Shyft Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Shyft to cross-verify your projections.
You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.

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When running Shyft's price analysis, check to measure Shyft'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 Shyft is operating at the current time. Most of Shyft's value examination focuses on studying past and present price action to predict the probability of Shyft's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shyft's price. Additionally, you may evaluate how the addition of Shyft to your portfolios can decrease your overall portfolio volatility.
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Is Shyft's industry 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 Shyft. If investors know Shyft 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 Shyft 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
(0.73)
Dividend Share
0.2
Revenue Per Share
23.936
Quarterly Revenue Growth
(0.19)
Return On Assets
0.0013
The market value of Shyft Group is measured differently than its book value, which is the value of Shyft that is recorded on the company's balance sheet. Investors also form their own opinion of Shyft's value that differs from its market value or its book value, called intrinsic value, which is Shyft'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 Shyft's market value can be influenced by many factors that don't directly affect Shyft'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 Shyft's value and its price as these two are different measures arrived at by different means. Investors typically determine if Shyft is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Shyft'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.