William Penn Stock Forecast - Naive Prediction
| WMPN Stock | USD 12.16 0.04 0.33% |
The Naive Prediction forecasted value of William Penn Bancorp on the next trading day is expected to be 12.88 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 12.36. William Stock Forecast is based on your current time horizon. Although William Penn's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of William Penn's systematic risk associated with finding meaningful patterns of William Penn fundamentals over time.
At this time, William Penn's Receivables Turnover is very stable compared to the past year. As of the 29th of April 2025, Fixed Asset Turnover is likely to grow to 2.85, while Asset Turnover is likely to drop 0.02. . As of the 29th of April 2025, Common Stock Shares Outstanding is likely to drop to about 8.2 M. In addition to that, Net Income Applicable To Common Shares is likely to drop to about 2.9 M. William Penn Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the William Penn's financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 2007-06-30 | Previous Quarter 6.9 M | Current Value 4.7 M | Quarterly Volatility 35 M |
William Penn Naive Prediction Price Forecast For the 30th of April
Given 90 days horizon, the Naive Prediction forecasted value of William Penn Bancorp on the next trading day is expected to be 12.88 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.07, and the sum of the absolute errors of 12.36.Please note that although there have been many attempts to predict William 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 William Penn's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
William Penn Stock Forecast Pattern
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William Penn Forecasted Value
In the context of forecasting William Penn'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. William Penn's downside and upside margins for the forecasting period are 10.65 and 15.12, respectively. We have considered William Penn'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of William Penn stock data series using in forecasting. Note that when a statistical model is used to represent William Penn 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 | 115.3949 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2026 |
| MAPE | Mean absolute percentage error | 0.018 |
| SAE | Sum of the absolute errors | 12.3567 |
Predictive Modules for William Penn
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as William Penn Bancorp. 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 William Penn
For every potential investor in William, whether a beginner or expert, William Penn's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. William Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in William. Basic forecasting techniques help filter out the noise by identifying William Penn's price trends.William Penn 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 William Penn stock to make a market-neutral strategy. Peer analysis of William Penn could also be used in its relative valuation, which is a method of valuing William Penn by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
William Penn Bancorp 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 William Penn'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 William Penn's current price.| Cycle Indicators | ||
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William Penn Market Strength Events
Market strength indicators help investors to evaluate how William Penn stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading William Penn shares will generate the highest return on investment. By undertsting and applying William Penn stock market strength indicators, traders can identify William Penn Bancorp entry and exit signals to maximize returns.
William Penn Risk Indicators
The analysis of William Penn'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 William Penn's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting william 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 | 1.51 | |||
| Standard Deviation | 2.16 | |||
| Variance | 4.66 |
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.
When determining whether William Penn Bancorp offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of William Penn's 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 William Penn Bancorp Stock. Outlined below are crucial reports that will aid in making a well-informed decision on William Penn Bancorp Stock: Check out Historical Fundamental Analysis of William Penn to cross-verify your projections. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Is Regional Banks 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 William Penn. If investors know William 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 William Penn 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 0.631 | Dividend Share 0.12 | Earnings Share (0.12) | Revenue Per Share | Quarterly Revenue Growth 0.001 |
The market value of William Penn Bancorp is measured differently than its book value, which is the value of William that is recorded on the company's balance sheet. Investors also form their own opinion of William Penn's value that differs from its market value or its book value, called intrinsic value, which is William Penn'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 William Penn's market value can be influenced by many factors that don't directly affect William Penn'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 William Penn's value and its price as these two are different measures arrived at by different means. Investors typically determine if William Penn is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, William Penn'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.