Deere Stock Forecast - Simple Exponential Smoothing
| DE Stock | USD 445.51 7.97 1.82% |
The Simple Exponential Smoothing forecasted value of Deere Company on the next trading day is expected to be 445.50 with a mean absolute deviation of 4.53 and the sum of the absolute errors of 271.83. Deere Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Deere stock prices and determine the direction of Deere Company's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Deere's historical fundamentals, such as revenue growth or operating cash flow patterns.
Deere |
Deere Simple Exponential Smoothing Price Forecast For the 23rd of November
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Deere Company on the next trading day is expected to be 445.50 with a mean absolute deviation of 4.53, mean absolute percentage error of 42.98, and the sum of the absolute errors of 271.83.Please note that although there have been many attempts to predict Deere 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 Deere's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Deere Stock Forecast Pattern
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Deere Forecasted Value
In the context of forecasting Deere'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. Deere's downside and upside margins for the forecasting period are 443.93 and 447.08, respectively. We have considered Deere'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Deere stock data series using in forecasting. Note that when a statistical model is used to represent Deere 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 | 120.0333 |
| Bias | Arithmetic mean of the errors | -1.0837 |
| MAD | Mean absolute deviation | 4.5304 |
| MAPE | Mean absolute percentage error | 0.0111 |
| SAE | Sum of the absolute errors | 271.825 |
Predictive Modules for Deere
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Deere Company. 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 Deere'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.
Other Forecasting Options for Deere
For every potential investor in Deere, whether a beginner or expert, Deere's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Deere Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Deere. Basic forecasting techniques help filter out the noise by identifying Deere's price trends.Deere 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 Deere stock to make a market-neutral strategy. Peer analysis of Deere could also be used in its relative valuation, which is a method of valuing Deere by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Deere Company 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 Deere'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 Deere's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
Deere Market Strength Events
Market strength indicators help investors to evaluate how Deere stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Deere shares will generate the highest return on investment. By undertsting and applying Deere stock market strength indicators, traders can identify Deere Company entry and exit signals to maximize returns.
Deere Risk Indicators
The analysis of Deere'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 Deere's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting deere 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 | 1.07 | |||
| Semi Deviation | 1.11 | |||
| Standard Deviation | 1.56 | |||
| Variance | 2.42 | |||
| Downside Variance | 1.8 | |||
| Semi Variance | 1.23 | |||
| Expected Short fall | (1.21) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Historical Fundamental Analysis of Deere to cross-verify your projections. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Is Agricultural & Farm Machinery 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 Deere. If investors know Deere 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 Deere 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 (0.38) | Earnings Share 25.64 | Revenue Per Share 200.394 | Quarterly Revenue Growth (0.17) | Return On Assets 0.0786 |
The market value of Deere Company is measured differently than its book value, which is the value of Deere that is recorded on the company's balance sheet. Investors also form their own opinion of Deere's value that differs from its market value or its book value, called intrinsic value, which is Deere'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 Deere's market value can be influenced by many factors that don't directly affect Deere'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 Deere's value and its price as these two are different measures arrived at by different means. Investors typically determine if Deere is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Deere'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.