BCB Bancorp Stock Forecast - Naive Prediction

BCBP Stock  USD 13.19  0.22  1.70%   
The Naive Prediction forecasted value of BCB Bancorp on the next trading day is expected to be 13.20 with a mean absolute deviation of 0.29 and the sum of the absolute errors of 17.69. BCB Stock Forecast is based on your current time horizon. Although BCB Bancorp's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of BCB Bancorp's systematic risk associated with finding meaningful patterns of BCB Bancorp fundamentals over time.
  
As of 11/21/2024, Receivables Turnover is likely to drop to 6.71. In addition to that, Fixed Asset Turnover is likely to drop to 2.68. As of 11/21/2024, Net Income Applicable To Common Shares is likely to grow to about 54.1 M, while Common Stock Shares Outstanding is likely to drop slightly above 9.8 M.

BCB Bancorp Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the BCB Bancorp's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2003-03-31
Previous Quarter
327.6 M
Current Value
243.9 M
Quarterly Volatility
135.8 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for BCB Bancorp is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of BCB Bancorp value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

BCB Bancorp Naive Prediction Price Forecast For the 22nd of November

Given 90 days horizon, the Naive Prediction forecasted value of BCB Bancorp on the next trading day is expected to be 13.20 with a mean absolute deviation of 0.29, mean absolute percentage error of 0.14, and the sum of the absolute errors of 17.69.
Please note that although there have been many attempts to predict BCB 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 BCB Bancorp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BCB Bancorp Stock Forecast Pattern

Backtest BCB BancorpBCB Bancorp Price PredictionBuy or Sell Advice 

BCB Bancorp Forecasted Value

In the context of forecasting BCB 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. BCB Bancorp's downside and upside margins for the forecasting period are 11.02 and 15.38, respectively. We have considered BCB 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
13.19
13.20
Expected Value
15.38
Upside

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 BCB Bancorp stock data series using in forecasting. Note that when a statistical model is used to represent BCB 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 Criteria116.1138
BiasArithmetic mean of the errors None
MADMean absolute deviation0.29
MAPEMean absolute percentage error0.0236
SAESum of the absolute errors17.6878
This model is not at all useful as a medium-long range forecasting tool of BCB Bancorp. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict BCB Bancorp. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for BCB 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 BCB 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.
Hype
Prediction
LowEstimatedHigh
10.8012.9715.14
Details
Intrinsic
Valuation
LowRealHigh
8.4810.6514.27
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.2312.4913.75
Details
4 Analysts
Consensus
LowTargetHigh
13.8015.1716.84
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as BCB Bancorp. Your research has to be compared to or analyzed against BCB Bancorp's peers to derive any actionable benefits. When done correctly, BCB Bancorp's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in BCB Bancorp.

Other Forecasting Options for BCB Bancorp

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

View BCB Bancorp Related Equities

 Risk & Return  Correlation

BCB 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 BCB 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 BCB Bancorp's current price.

BCB Bancorp Market Strength Events

Market strength indicators help investors to evaluate how BCB 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 BCB Bancorp shares will generate the highest return on investment. By undertsting and applying BCB Bancorp stock market strength indicators, traders can identify BCB Bancorp entry and exit signals to maximize returns.

BCB Bancorp Risk Indicators

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

Pair Trading with BCB Bancorp

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if BCB Bancorp position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in BCB Bancorp will appreciate offsetting losses from the drop in the long position's value.

Moving together with BCB Stock

  0.82AX Axos FinancialPairCorr
  0.79BY Byline Bancorp Fiscal Year End 23rd of January 2025 PairCorr
The ability to find closely correlated positions to BCB Bancorp could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BCB Bancorp when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back BCB Bancorp - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling BCB Bancorp to buy it.
The correlation of BCB Bancorp is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as BCB Bancorp moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BCB Bancorp moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for BCB Bancorp can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for BCB Stock Analysis

When running BCB Bancorp's price analysis, check to measure BCB 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 BCB Bancorp is operating at the current time. Most of BCB Bancorp's value examination focuses on studying past and present price action to predict the probability of BCB 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 BCB Bancorp's price. Additionally, you may evaluate how the addition of BCB Bancorp to your portfolios can decrease your overall portfolio volatility.