Byline Bancorp Stock Forecast - 4 Period Moving Average

BY Stock  USD 31.42  0.10  0.32%   
The 4 Period Moving Average forecasted value of Byline Bancorp on the next trading day is expected to be 31.53 with a mean absolute deviation of 0.65 and the sum of the absolute errors of 37.02. Byline Stock Forecast is based on your current time horizon.
  
Receivables Turnover is likely to rise to 0.88 in 2024, whereas Fixed Asset Turnover is likely to drop 2.38 in 2024. . Common Stock Shares Outstanding is likely to drop to about 37.2 M in 2024. Net Income Applicable To Common Shares is likely to drop to about 51.6 M in 2024.
A four-period moving average forecast model for Byline Bancorp is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Byline Bancorp 4 Period Moving Average Price Forecast For the 2nd of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Byline Bancorp on the next trading day is expected to be 31.53 with a mean absolute deviation of 0.65, mean absolute percentage error of 0.95, and the sum of the absolute errors of 37.02.
Please note that although there have been many attempts to predict Byline 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 Byline Bancorp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Byline Bancorp Stock Forecast Pattern

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Byline Bancorp Forecasted Value

In the context of forecasting Byline Bancorp'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. Byline Bancorp's downside and upside margins for the forecasting period are 28.89 and 34.17, respectively. We have considered Byline Bancorp'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
31.42
31.53
Expected Value
34.17
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Byline Bancorp stock data series using in forecasting. Note that when a statistical model is used to represent Byline Bancorp 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 Criteria110.7069
BiasArithmetic mean of the errors -0.2445
MADMean absolute deviation0.6494
MAPEMean absolute percentage error0.0227
SAESum of the absolute errors37.015
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Byline Bancorp. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Byline Bancorp and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Byline Bancorp

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Byline 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Byline Bancorp's 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
28.9831.6234.26
Details
Intrinsic
Valuation
LowRealHigh
24.7727.4134.56
Details
Bollinger
Band Projection (param)
LowMiddleHigh
30.5431.4032.25
Details
6 Analysts
Consensus
LowTargetHigh
22.5724.8027.53
Details

Other Forecasting Options for Byline Bancorp

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

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 Risk & Return  Correlation

Byline 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 Byline Bancorp'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 Byline Bancorp's current price.

Byline Bancorp Market Strength Events

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

Byline Bancorp Risk Indicators

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

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Additional Tools for Byline Stock Analysis

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