Pitney Bowes Stock Price Patterns
| PBI Stock | USD 10.43 0.10 0.95% |
Momentum 46
Impartial
Oversold | Overbought |
Quarterly Earnings Growth 4.614 | EPS Estimate Next Quarter 0.36 | EPS Estimate Current Year 1.315 | EPS Estimate Next Year 1.445 | Wall Street Target Price 13 |
Using Pitney Bowes hype-based prediction, you can estimate the value of Pitney Bowes from the perspective of Pitney Bowes response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Pitney Bowes using Pitney Bowes' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Pitney using crowd psychology based on the activity and movement of Pitney Bowes' stock price.
Pitney Bowes Short Interest
A significant increase or decrease in Pitney Bowes' short interest from the previous month could be a good indicator of investor sentiment towards Pitney. Short interest can provide insight into the potential direction of Pitney Bowes stock and how bullish or bearish investors feel about the market overall.
200 Day MA 10.5933 | Short Percent 0.1485 | Short Ratio 8.27 | Shares Short Prior Month 19.7 M | 50 Day MA 10.2184 |
Pitney Bowes Hype to Price Pattern
Investor biases related to Pitney Bowes' public news can be used to forecast risks associated with an investment in Pitney. The trend in average sentiment can be used to explain how an investor holding Pitney can time the market purely based on public headlines and social activities around Pitney Bowes. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Pitney Bowes' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Pitney Bowes.
Pitney Bowes Implied Volatility | 0.85 |
Pitney Bowes' implied volatility exposes the market's sentiment of Pitney Bowes stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Pitney Bowes' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Pitney Bowes stock will not fluctuate a lot when Pitney Bowes' options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Pitney Bowes to buy its stock at a price that has no basis in reality. In that case, they are not buying Pitney because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Pitney Bowes after-hype prediction price | USD 10.43 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Prediction based on Rule 16 of the current Pitney contract
Based on the Rule 16, the options market is currently suggesting that Pitney Bowes will have an average daily up or down price movement of about 0.0531% per day over the life of the 2026-04-17 option contract. With Pitney Bowes trading at USD 10.43, that is roughly USD 0.005541 . If you think that the market is fully incorporating Pitney Bowes' daily price movement you should consider acquiring Pitney Bowes options at the current volatility level of 0.85%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Check out Pitney Bowes Basic Forecasting Models to cross-verify your projections. Pitney Bowes After-Hype Price Density Analysis
As far as predicting the price of Pitney Bowes at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Pitney Bowes or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Pitney Bowes, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Pitney Bowes Estimiated After-Hype Price Volatility
In the context of predicting Pitney Bowes' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Pitney Bowes' historical news coverage. Pitney Bowes' after-hype downside and upside margins for the prediction period are 8.81 and 12.05, respectively. We have considered Pitney Bowes' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Pitney Bowes is not too volatile at this time. Analysis and calculation of next after-hype price of Pitney Bowes is based on 3 months time horizon.
Pitney Bowes Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Pitney Bowes is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Pitney Bowes backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Pitney Bowes, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.21 | 1.62 | 0.02 | 0.24 | 10 Events / Month | 7 Events / Month | In about 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
10.43 | 10.43 | 0.00 |
|
Pitney Bowes Hype Timeline
On the 4th of February Pitney Bowes is traded for 10.43. The entity has historical hype elasticity of 0.02, and average elasticity to hype of competition of 0.24. Pitney is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.21%. %. The volatility of related hype on Pitney Bowes is about 142.98%, with the expected price after the next announcement by competition of 10.67. About 82.0% of the company shares are owned by institutional investors. The company has Price/Earnings To Growth (PEG) ratio of 0.6. Pitney Bowes last dividend was issued on the 10th of November 2025. The entity had 2:1 split on the 20th of January 1998. Considering the 90-day investment horizon the next forecasted press release will be in about 10 days. Check out Pitney Bowes Basic Forecasting Models to cross-verify your projections.Pitney Bowes Related Hype Analysis
Having access to credible news sources related to Pitney Bowes' direct competition is more important than ever and may enhance your ability to predict Pitney Bowes' future price movements. Getting to know how Pitney Bowes' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Pitney Bowes may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HUBG | Hub Group | (0.85) | 11 per month | 0.87 | 0.28 | 4.32 | (1.90) | 7.44 | |
| SCS | Steelcase | (0.18) | 5 per month | 0.00 | (0.14) | 1.68 | (1.45) | 6.67 | |
| KMT | Kennametal | (0.44) | 8 per month | 0.72 | 0.26 | 4.67 | (1.67) | 17.95 | |
| VVX | V2X Inc | 2.84 | 8 per month | 1.52 | 0.1 | 3.81 | (2.27) | 11.60 | |
| NSP | Insperity | 0.15 | 8 per month | 4.22 | (0.01) | 4.91 | (5.53) | 20.54 | |
| HNI | HNI Corp | 0.98 | 7 per month | 0.73 | 0.16 | 2.32 | (1.55) | 6.56 | |
| CDRE | Cadre Holdings | 0.22 | 11 per month | 0.00 | (0.03) | 4.07 | (3.69) | 10.56 | |
| ROCK | Gibraltar Industries | 2.00 | 8 per month | 0.00 | (0.1) | 5.00 | (4.60) | 23.65 | |
| DXPE | DXP Enterprises | 4.42 | 11 per month | 4.39 | 0.05 | 4.42 | (3.76) | 18.99 | |
| CECO | CECO Environmental Corp | 2.19 | 9 per month | 2.19 | 0.22 | 4.25 | (4.14) | 13.46 |
Pitney Bowes Additional Predictive Modules
Most predictive techniques to examine Pitney price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Pitney using various technical indicators. When you analyze Pitney charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Pitney Bowes Predictive Indicators
The successful prediction of Pitney Bowes stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Pitney Bowes, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Pitney Bowes based on analysis of Pitney Bowes hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Pitney Bowes's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Pitney Bowes's related companies. | 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.0456 | 0.0277 | 0.0249 | 0.0316 | Price To Sales Ratio | 0.37 | 0.64 | 0.74 | 0.7 |
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Complementary Tools for Pitney Stock analysis
When running Pitney Bowes' price analysis, check to measure Pitney Bowes' 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 Pitney Bowes is operating at the current time. Most of Pitney Bowes' value examination focuses on studying past and present price action to predict the probability of Pitney Bowes' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pitney Bowes' price. Additionally, you may evaluate how the addition of Pitney Bowes to your portfolios can decrease your overall portfolio volatility.
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