Fulton Financial Stock Forecast - Polynomial Regression
| FU5 Stock | EUR 16.40 0.70 4.46% |
The Polynomial Regression forecasted value of Fulton Financial on the next trading day is expected to be 17.08 with a mean absolute deviation of 0.31 and the sum of the absolute errors of 18.78. Fulton Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Fulton Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
Fulton |
Fulton Financial Polynomial Regression Price Forecast For the 22nd of July
Given 90 days horizon, the Polynomial Regression forecasted value of Fulton Financial on the next trading day is expected to be 17.08 with a mean absolute deviation of 0.31, mean absolute percentage error of 0.14, and the sum of the absolute errors of 18.78.Please note that although there have been many attempts to predict Fulton 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 Fulton Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Fulton Financial Stock Forecast Pattern
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Fulton Financial Forecasted Value
In the context of forecasting Fulton Financial'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. Fulton Financial's downside and upside margins for the forecasting period are 15.03 and 19.13, respectively. We have considered Fulton Financial'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Fulton Financial stock data series using in forecasting. Note that when a statistical model is used to represent Fulton Financial 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 | 116.119 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3079 |
| MAPE | Mean absolute percentage error | 0.0207 |
| SAE | Sum of the absolute errors | 18.78 |
Predictive Modules for Fulton Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fulton Financial. 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 Fulton Financial
For every potential investor in Fulton, whether a beginner or expert, Fulton Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Fulton Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Fulton. Basic forecasting techniques help filter out the noise by identifying Fulton Financial's price trends.Fulton Financial 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 Fulton Financial stock to make a market-neutral strategy. Peer analysis of Fulton Financial could also be used in its relative valuation, which is a method of valuing Fulton Financial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Fulton Financial 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 Fulton Financial'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 Fulton Financial's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Fulton Financial Market Strength Events
Market strength indicators help investors to evaluate how Fulton Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Fulton Financial shares will generate the highest return on investment. By undertsting and applying Fulton Financial stock market strength indicators, traders can identify Fulton Financial entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.04 | |||
| Day Median Price | 16.4 | |||
| Day Typical Price | 16.4 | |||
| Price Action Indicator | 0.35 | |||
| Period Momentum Indicator | 0.7 | |||
| Relative Strength Index | 55.01 |
Fulton Financial Risk Indicators
The analysis of Fulton Financial'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 Fulton Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fulton 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 | 1.68 | |||
| Semi Deviation | 1.65 | |||
| Standard Deviation | 2.09 | |||
| Variance | 4.38 | |||
| Downside Variance | 4.33 | |||
| Semi Variance | 2.72 | |||
| Expected Short fall | (2.06) |
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 Information and Resources on Investing in Fulton Stock
When determining whether Fulton Financial is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Fulton Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Fulton Financial Stock. Highlighted below are key reports to facilitate an investment decision about Fulton Financial Stock:Check out Historical Fundamental Analysis of Fulton Financial to cross-verify your projections. For more detail on how to invest in Fulton Stock please use our How to Invest in Fulton Financial guide.You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.