BNP Paribas Stock Forecast - Polynomial Regression

BNP Stock   81.80  0.60  0.74%   
The Polynomial Regression forecasted value of BNP Paribas Bank on the next trading day is expected to be 80.44 with a mean absolute deviation of 1.87 and the sum of the absolute errors of 115.64. BNP Stock Forecast is based on your current time horizon.
  
BNP Paribas polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for BNP Paribas Bank as well as the accuracy indicators are determined from the period prices.

BNP Paribas Polynomial Regression Price Forecast For the 1st of December

Given 90 days horizon, the Polynomial Regression forecasted value of BNP Paribas Bank on the next trading day is expected to be 80.44 with a mean absolute deviation of 1.87, mean absolute percentage error of 5.35, and the sum of the absolute errors of 115.64.
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

Backtest BNP ParibasBNP Paribas Price PredictionBuy or Sell Advice 

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 78.42 and 82.47, 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
81.80
80.44
Expected Value
82.47
Upside

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.
AICAkaike Information Criteria121.6255
BiasArithmetic mean of the errors None
MADMean absolute deviation1.8651
MAPEMean absolute percentage error0.0201
SAESum of the absolute errors115.6392
A single variable polynomial regression model attempts to put a curve through the BNP Paribas historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

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 Bank. 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 BNP Paribas' 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
79.1681.2083.24
Details
Intrinsic
Valuation
LowRealHigh
74.2976.3389.32
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 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 Bank 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.

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 Bank 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.
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 BNP Paribas

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 BNP Paribas 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 BNP Paribas will appreciate offsetting losses from the drop in the long position's value.

Moving together with BNP Stock

  0.75SPL Santander Bank PolskaPairCorr
  0.83PEO Bank Polska KasaPairCorr
  0.81ING ING Bank lskiPairCorr
  0.91MBK mBank SAPairCorr

Moving against BNP Stock

  0.69DNP Dino Polska SAPairCorr
  0.46UCG UniCredit SpAPairCorr
  0.41ADV Adiuvo InvestmentPairCorr
  0.35ALG All In GamesPairCorr
The ability to find closely correlated positions to BNP Paribas could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BNP Paribas 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 BNP Paribas - 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 BNP Paribas Bank to buy it.
The correlation of BNP Paribas 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 BNP Paribas moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BNP Paribas Bank 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 BNP Paribas 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 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.