ESCO Technologies Stock Forecast - Naive Prediction

ESE Stock  USD 148.81  0.29  0.20%   
The Naive Prediction forecasted value of ESCO Technologies on the next trading day is expected to be 145.66 with a mean absolute deviation of 1.95 and the sum of the absolute errors of 118.97. ESCO Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast ESCO Technologies stock prices and determine the direction of ESCO Technologies's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of ESCO Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
The current year's Inventory Turnover is expected to grow to 4.85. The current year's Payables Turnover is expected to grow to 8.82. The current year's Common Stock Shares Outstanding is expected to grow to about 28 M. The current year's Net Income Applicable To Common Shares is expected to grow to about 111.7 M.

ESCO Technologies Cash Forecast

Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the ESCO Technologies' financial statements to predict how it will affect future prices.
 
Cash  
First Reported
1990-09-30
Previous Quarter
63 M
Current Value
66 M
Quarterly Volatility
24.3 M
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for ESCO Technologies is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of ESCO Technologies 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.

ESCO Technologies Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of ESCO Technologies on the next trading day is expected to be 145.66 with a mean absolute deviation of 1.95, mean absolute percentage error of 6.02, and the sum of the absolute errors of 118.97.
Please note that although there have been many attempts to predict ESCO 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 ESCO Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ESCO Technologies Stock Forecast Pattern

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ESCO Technologies Forecasted Value

In the context of forecasting ESCO Technologies' 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. ESCO Technologies' downside and upside margins for the forecasting period are 143.90 and 147.42, respectively. We have considered ESCO Technologies' 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
148.81
143.90
Downside
145.66
Expected Value
147.42
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 ESCO Technologies stock data series using in forecasting. Note that when a statistical model is used to represent ESCO Technologies 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 Criteria119.9058
BiasArithmetic mean of the errors None
MADMean absolute deviation1.9503
MAPEMean absolute percentage error0.0151
SAESum of the absolute errors118.9695
This model is not at all useful as a medium-long range forecasting tool of ESCO Technologies. 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 ESCO Technologies. 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 ESCO Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ESCO Technologies. 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 ESCO Technologies' 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
146.76148.52150.28
Details
Intrinsic
Valuation
LowRealHigh
138.22139.98163.37
Details
Bollinger
Band Projection (param)
LowMiddleHigh
120.83137.19153.55
Details
4 Analysts
Consensus
LowTargetHigh
107.08117.67130.61
Details

Other Forecasting Options for ESCO Technologies

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

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

ESCO Technologies 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 ESCO Technologies' 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 ESCO Technologies' current price.

ESCO Technologies Market Strength Events

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

ESCO Technologies Risk Indicators

The analysis of ESCO Technologies' 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 ESCO Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting esco 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.

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.
When determining whether ESCO Technologies is a strong investment it is important to analyze ESCO Technologies' 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 ESCO Technologies' future performance. For an informed investment choice regarding ESCO Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of ESCO Technologies to cross-verify your projections.
For information on how to trade ESCO Stock refer to our How to Trade ESCO Stock guide.
You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Is Industrial Machinery & Supplies & Components 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 ESCO Technologies. If investors know ESCO 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 ESCO Technologies 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
(0.10)
Earnings Share
3.94
Revenue Per Share
38.821
Quarterly Revenue Growth
0.088
Return On Assets
0.0496
The market value of ESCO Technologies is measured differently than its book value, which is the value of ESCO that is recorded on the company's balance sheet. Investors also form their own opinion of ESCO Technologies' value that differs from its market value or its book value, called intrinsic value, which is ESCO Technologies' 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 ESCO Technologies' market value can be influenced by many factors that don't directly affect ESCO Technologies' 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 ESCO Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if ESCO Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ESCO Technologies' 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.