BNP Paribas Stock Forecast - Polynomial Regression
| BNP Stock | EUR 56.95 1.16 2.00% |
The Polynomial Regression forecasted value of BNP Paribas SA on the next trading day is expected to be 55.43 with a mean absolute deviation of 1.18 and the sum of the absolute errors of 73.17. BNP Stock Forecast is based on your current time horizon.
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BNP Paribas Polynomial Regression Price Forecast For the 24th of November
Given 90 days horizon, the Polynomial Regression forecasted value of BNP Paribas SA on the next trading day is expected to be 55.43 with a mean absolute deviation of 1.18, mean absolute percentage error of 2.03, and the sum of the absolute errors of 73.17.Please note that although there have been many attempts to predict BNP 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 Stock Forecast Pattern
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BNP Paribas Forecasted Value
In the context of forecasting BNP Paribas' 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 54.15 and 56.72, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of BNP Paribas stock data series using in forecasting. Note that when a statistical model is used to represent BNP Paribas 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 | 120.6583 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.1801 |
| MAPE | Mean absolute percentage error | 0.0189 |
| SAE | Sum of the absolute errors | 73.1662 |
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 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 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 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
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 BNP Paribas stock to make a market-neutral strategy. Peer analysis of BNP Paribas could also be used in its relative valuation, which is a method of valuing BNP Paribas by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
BNP Paribas SA 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 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
BNP Paribas Market Strength Events
Market strength indicators help investors to evaluate how BNP Paribas 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 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 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 | 1.01 | |||
| Standard Deviation | 1.25 | |||
| Variance | 1.57 |
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 BNP Stock Analysis
When running BNP Paribas' price analysis, check to measure BNP Paribas' 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 BNP Paribas is operating at the current time. Most of BNP Paribas' value examination focuses on studying past and present price action to predict the probability of BNP Paribas' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BNP Paribas' price. Additionally, you may evaluate how the addition of BNP Paribas to your portfolios can decrease your overall portfolio volatility.