Pareto Bank Stock Forecast - 4 Period Moving Average
| PARB Stock | NOK 58.30 0.30 0.51% |
The 4 Period Moving Average forecasted value of Pareto Bank ASA on the next trading day is expected to be 58.52 with a mean absolute deviation of 0.65 and the sum of the absolute errors of 37.68. Pareto Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Pareto Bank stock prices and determine the direction of Pareto Bank ASA's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Pareto Bank's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Pareto Bank to cross-verify your projections. Pareto |
Most investors in Pareto Bank cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Pareto Bank's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Pareto Bank's price structures and extracts relationships that further increase the generated results' accuracy.
A four-period moving average forecast model for Pareto Bank ASA is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility. Pareto Bank 4 Period Moving Average Price Forecast For the 18th of May 2024
Given 90 days horizon, the 4 Period Moving Average forecasted value of Pareto Bank ASA on the next trading day is expected to be 58.52 with a mean absolute deviation of 0.65, mean absolute percentage error of 0.69, and the sum of the absolute errors of 37.68.Please note that although there have been many attempts to predict Pareto 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 Pareto Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pareto Bank Stock Forecast Pattern
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Pareto Bank Forecasted Value
In the context of forecasting Pareto Bank'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. Pareto Bank's downside and upside margins for the forecasting period are 57.30 and 59.75, respectively. We have considered Pareto Bank'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Pareto Bank stock data series using in forecasting. Note that when a statistical model is used to represent Pareto Bank 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 | 112.2267 |
| Bias | Arithmetic mean of the errors | -0.2872 |
| MAD | Mean absolute deviation | 0.6496 |
| MAPE | Mean absolute percentage error | 0.0117 |
| SAE | Sum of the absolute errors | 37.675 |
Predictive Modules for Pareto Bank
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pareto Bank ASA. 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 Pareto Bank's 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.
Other Forecasting Options for Pareto Bank
For every potential investor in Pareto, whether a beginner or expert, Pareto Bank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Pareto Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Pareto. Basic forecasting techniques help filter out the noise by identifying Pareto Bank's price trends.Pareto Bank 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 Pareto Bank stock to make a market-neutral strategy. Peer analysis of Pareto Bank could also be used in its relative valuation, which is a method of valuing Pareto Bank by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Pareto Bank ASA 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 Pareto Bank'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 Pareto Bank's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Pareto Bank Market Strength Events
Market strength indicators help investors to evaluate how Pareto Bank stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Pareto Bank shares will generate the highest return on investment. By undertsting and applying Pareto Bank stock market strength indicators, traders can identify Pareto Bank ASA entry and exit signals to maximize returns.
| Accumulation Distribution | 464.95 | |||
| Daily Balance Of Power | (0.27) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 58.75 | |||
| Day Typical Price | 58.6 | |||
| Price Action Indicator | (0.60) | |||
| Period Momentum Indicator | (0.30) |
Pareto Bank Risk Indicators
The analysis of Pareto Bank'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 Pareto Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pareto 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 | 0.8005 | |||
| Semi Deviation | 1.14 | |||
| Standard Deviation | 1.18 | |||
| Variance | 1.38 | |||
| Downside Variance | 2.4 | |||
| Semi Variance | 1.3 | |||
| Expected Short fall | (0.86) |
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.
Becoming a Better Investor with Macroaxis
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Check out Historical Fundamental Analysis of Pareto Bank to cross-verify your projections. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Complementary Tools for Pareto Stock analysis
When running Pareto Bank's price analysis, check to measure Pareto Bank'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 Pareto Bank is operating at the current time. Most of Pareto Bank's value examination focuses on studying past and present price action to predict the probability of Pareto Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pareto Bank's price. Additionally, you may evaluate how the addition of Pareto Bank to your portfolios can decrease your overall portfolio volatility.
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