BNP Paribas OTC Stock Forward View

BNP Paribas Additional Predictive Modules

Most predictive techniques to examine BNP price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for BNP using various technical indicators. When you analyze BNP 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. A naive forecasting model for BNP Paribas is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of BNP Paribas SA 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.

BNP Paribas Naive Prediction Price Forecast For the 5th of February

Given 90 days horizon, the Naive Prediction forecasted value of BNP Paribas SA on the next trading day is expected to be 107.78 with a mean absolute deviation of 1.47, mean absolute percentage error of 3.51, and the sum of the absolute errors of 89.80.

BNP Paribas OTC Stock Forecast Pattern

Backtest BNP Paribas

BNP Paribas Price Prediction

Research Analysis

BNP Paribas Forecasted Value

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 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. This model is not at all useful as a medium-long range forecasting tool of BNP Paribas SA. 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 BNP Paribas. 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 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 Low Estimated High 104.13 106.46 108.79 Details

Intrinsic Valuation Low Real High 96.26 98.58 117.11 Details

Bollinger Band Projection (param) Low Middle High 92.22 99.50 106.79 Details

BNP Paribas After-Hype Price Density Analysis

BNP Paribas Estimiated After-Hype Price Volatility

BNP Paribas OTC Stock Price Outlook Analysis

Notes

BNP Paribas Hype Timeline

BNP Paribas SA is currently traded for 106.46. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.45. BNP is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at 0.61%. %. The volatility of related hype on BNP Paribas is about 314.44%, with the expected price after the next announcement by competition of 106.91. About 48.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 0.54. Some equities with similar Price to Book (P/B) outperform the market in the long run. BNP Paribas SA has Price/Earnings To Growth (PEG) ratio of 1.25. The entity recorded earning per share (EPS) of 7.78. The firm last dividend was issued on the 23rd of May 2022. Assuming the 90 days horizon the next projected press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of BNP Paribas to cross-verify your projections.

BNP Paribas Related Hype Analysis

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.

BNP Paribas Related Equities

Risk & Return

Correlation

BNP Paribas Market Strength Events

BNP Paribas Risk Indicators

Story Coverage note for BNP Paribas

Other Macroaxis Stories

Other Information on Investing in BNP OTC Stock