BNP Paribas OTC Stock Forecast - 20 Period Moving Average

BNPQF Stock  USD 60.36  1.81  3.09%   
The 20 Period Moving Average forecasted value of BNP Paribas SA on the next trading day is expected to be 62.78 with a mean absolute deviation of 2.96 and the sum of the absolute errors of 121.54. BNP OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of BNP Paribas' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for BNP Paribas SA is based on a synthetically constructed BNP Paribasdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

BNP Paribas 20 Period Moving Average Price Forecast For the 2nd of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of BNP Paribas SA on the next trading day is expected to be 62.78 with a mean absolute deviation of 2.96, mean absolute percentage error of 13.10, and the sum of the absolute errors of 121.54.
Please note that although there have been many attempts to predict BNP OTC 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 BNP Paribas' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BNP Paribas OTC Stock Forecast Pattern

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BNP Paribas Forecasted Value

In the context of forecasting BNP Paribas' OTC 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. BNP Paribas' downside and upside margins for the forecasting period are 60.48 and 65.09, respectively. We have considered BNP Paribas' 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
60.36
62.78
Expected Value
65.09
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of BNP Paribas otc stock data series using in forecasting. Note that when a statistical model is used to represent BNP Paribas otc 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 Criteria83.9259
BiasArithmetic mean of the errors 1.9863
MADMean absolute deviation2.9643
MAPEMean absolute percentage error0.0465
SAESum of the absolute errors121.5365
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. BNP Paribas SA 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for BNP Paribas

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BNP Paribas SA. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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
58.0560.3662.67
Details
Intrinsic
Valuation
LowRealHigh
50.6052.9166.40
Details
Bollinger
Band Projection (param)
LowMiddleHigh
57.4960.7063.91
Details

Other Forecasting Options for BNP Paribas

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

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 Risk & Return  Correlation

BNP Paribas SA Technical and Predictive Analytics

The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of BNP Paribas' 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 BNP Paribas' current price.

BNP Paribas Market Strength Events

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

BNP Paribas Risk Indicators

The analysis of BNP Paribas' 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 BNP Paribas' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bnp otc 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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Other Information on Investing in BNP OTC Stock

BNP Paribas financial ratios help investors to determine whether BNP OTC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in BNP with respect to the benefits of owning BNP Paribas security.