Pitney Bowes Stock Forecast - Polynomial Regression
PBI Stock | USD 8.16 0.11 1.37% |
The Polynomial Regression forecasted value of Pitney Bowes on the next trading day is expected to be 7.94 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.10. Pitney Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Pitney Bowes' historical fundamentals, such as revenue growth or operating cash flow patterns.
Pitney |
Pitney Bowes Polynomial Regression Price Forecast For the 26th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Pitney Bowes on the next trading day is expected to be 7.94 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.04, and the sum of the absolute errors of 10.10.Please note that although there have been many attempts to predict Pitney 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 Pitney Bowes' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pitney Bowes Stock Forecast Pattern
Backtest Pitney Bowes | Pitney Bowes Price Prediction | Buy or Sell Advice |
Pitney Bowes Forecasted Value
In the context of forecasting Pitney Bowes' 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. Pitney Bowes' downside and upside margins for the forecasting period are 5.52 and 10.35, respectively. We have considered Pitney Bowes' 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Pitney Bowes stock data series using in forecasting. Note that when a statistical model is used to represent Pitney Bowes 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 | 114.9648 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 0.1656 |
MAPE | Mean absolute percentage error | 0.0232 |
SAE | Sum of the absolute errors | 10.1026 |
Predictive Modules for Pitney Bowes
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pitney Bowes. 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.Other Forecasting Options for Pitney Bowes
For every potential investor in Pitney, whether a beginner or expert, Pitney Bowes' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Pitney Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Pitney. Basic forecasting techniques help filter out the noise by identifying Pitney Bowes' price trends.Pitney Bowes 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 Pitney Bowes stock to make a market-neutral strategy. Peer analysis of Pitney Bowes could also be used in its relative valuation, which is a method of valuing Pitney Bowes by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Pitney Bowes 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 Pitney Bowes' 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 Pitney Bowes' current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Pitney Bowes Market Strength Events
Market strength indicators help investors to evaluate how Pitney Bowes stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Pitney Bowes shares will generate the highest return on investment. By undertsting and applying Pitney Bowes stock market strength indicators, traders can identify Pitney Bowes entry and exit signals to maximize returns.
Pitney Bowes Risk Indicators
The analysis of Pitney Bowes' 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 Pitney Bowes' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pitney 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 | 1.89 | |||
Semi Deviation | 2.24 | |||
Standard Deviation | 2.42 | |||
Variance | 5.86 | |||
Downside Variance | 5.58 | |||
Semi Variance | 5.0 | |||
Expected Short fall | (1.99) |
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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When determining whether Pitney Bowes offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Pitney Bowes' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Pitney Bowes Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Pitney Bowes Stock:Check out Historical Fundamental Analysis of Pitney Bowes to cross-verify your projections. For more detail on how to invest in Pitney Stock please use our How to Invest in Pitney Bowes guide.You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Is Commercial Services & Supplies 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 Pitney Bowes. If investors know Pitney 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 Pitney Bowes 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 4.614 | Dividend Share 0.2 | Earnings Share (1.41) | Revenue Per Share 18.105 | Quarterly Revenue Growth (0.01) |
The market value of Pitney Bowes is measured differently than its book value, which is the value of Pitney that is recorded on the company's balance sheet. Investors also form their own opinion of Pitney Bowes' value that differs from its market value or its book value, called intrinsic value, which is Pitney Bowes' 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 Pitney Bowes' market value can be influenced by many factors that don't directly affect Pitney Bowes' 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 Pitney Bowes' value and its price as these two are different measures arrived at by different means. Investors typically determine if Pitney Bowes is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Pitney Bowes' 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.