Dover Stock Forecast - Polynomial Regression

DOV Stock  USD 205.56  0.82  0.40%   
The Polynomial Regression forecasted value of Dover on the next trading day is expected to be 209.02 with a mean absolute deviation of 2.85 and the sum of the absolute errors of 176.44. Dover Stock Forecast is based on your current time horizon.
  
Asset Turnover is likely to climb to 1.17 in 2024, whereas Inventory Turnover is likely to drop 4.26 in 2024. . Common Stock Shares Outstanding is likely to climb to about 161.7 M in 2024, whereas Net Income Applicable To Common Shares is likely to drop slightly above 710.2 M in 2024.
Dover polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Dover as well as the accuracy indicators are determined from the period prices.

Dover Polynomial Regression Price Forecast For the 27th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Dover on the next trading day is expected to be 209.02 with a mean absolute deviation of 2.85, mean absolute percentage error of 12.70, and the sum of the absolute errors of 176.44.
Please note that although there have been many attempts to predict Dover 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 Dover's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Dover Stock Forecast Pattern

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Dover Forecasted Value

In the context of forecasting Dover'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. Dover's downside and upside margins for the forecasting period are 207.57 and 210.48, respectively. We have considered Dover'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
205.56
207.57
Downside
209.02
Expected Value
210.48
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Dover stock data series using in forecasting. Note that when a statistical model is used to represent Dover 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 Criteria122.4901
BiasArithmetic mean of the errors None
MADMean absolute deviation2.8458
MAPEMean absolute percentage error0.0149
SAESum of the absolute errors176.4405
A single variable polynomial regression model attempts to put a curve through the Dover historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Dover

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dover. 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
204.60206.04207.48
Details
Intrinsic
Valuation
LowRealHigh
153.73155.17226.12
Details
Bollinger
Band Projection (param)
LowMiddleHigh
197.70202.16206.61
Details
17 Analysts
Consensus
LowTargetHigh
147.72162.33180.19
Details

Other Forecasting Options for Dover

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

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

Dover 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 Dover'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 Dover's current price.

Dover Market Strength Events

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

Dover Risk Indicators

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Dover Stock Analysis

When running Dover's price analysis, check to measure Dover'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 Dover is operating at the current time. Most of Dover's value examination focuses on studying past and present price action to predict the probability of Dover's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dover's price. Additionally, you may evaluate how the addition of Dover to your portfolios can decrease your overall portfolio volatility.