Northrop Grumman Stock Forecast - Simple Regression
| NTH Stock | EUR 450.50 5.20 1.14% |
The Simple Regression forecasted value of Northrop Grumman on the next trading day is expected to be 460.92 with a mean absolute deviation of 8.61 and the sum of the absolute errors of 533.90. Northrop Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Northrop Grumman's historical fundamentals, such as revenue growth or operating cash flow patterns.
Northrop |
Northrop Grumman Simple Regression Price Forecast For the 14th of December 2024
Given 90 days horizon, the Simple Regression forecasted value of Northrop Grumman on the next trading day is expected to be 460.92 with a mean absolute deviation of 8.61, mean absolute percentage error of 111.47, and the sum of the absolute errors of 533.90.Please note that although there have been many attempts to predict Northrop 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 Northrop Grumman's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Northrop Grumman Stock Forecast Pattern
| Backtest Northrop Grumman | Northrop Grumman Price Prediction | Buy or Sell Advice |
Northrop Grumman Forecasted Value
In the context of forecasting Northrop Grumman'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. Northrop Grumman's downside and upside margins for the forecasting period are 459.50 and 462.35, respectively. We have considered Northrop Grumman'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Northrop Grumman stock data series using in forecasting. Note that when a statistical model is used to represent Northrop Grumman 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 | 124.6621 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 8.6112 |
| MAPE | Mean absolute percentage error | 0.0181 |
| SAE | Sum of the absolute errors | 533.8957 |
Predictive Modules for Northrop Grumman
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Northrop Grumman. 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 Northrop Grumman
For every potential investor in Northrop, whether a beginner or expert, Northrop Grumman's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Northrop Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Northrop. Basic forecasting techniques help filter out the noise by identifying Northrop Grumman's price trends.Northrop Grumman 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 Northrop Grumman stock to make a market-neutral strategy. Peer analysis of Northrop Grumman could also be used in its relative valuation, which is a method of valuing Northrop Grumman by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Northrop Grumman 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 Northrop Grumman'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 Northrop Grumman's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Northrop Grumman Market Strength Events
Market strength indicators help investors to evaluate how Northrop Grumman stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Northrop Grumman shares will generate the highest return on investment. By undertsting and applying Northrop Grumman stock market strength indicators, traders can identify Northrop Grumman entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 450.5 | |||
| Day Typical Price | 450.5 | |||
| Price Action Indicator | (2.60) | |||
| Period Momentum Indicator | (5.20) |
Northrop Grumman Risk Indicators
The analysis of Northrop Grumman'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 Northrop Grumman's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting northrop 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 | 0.9634 | |||
| Standard Deviation | 1.41 | |||
| Variance | 1.98 |
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.
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Northrop Stock
When determining whether Northrop Grumman offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Northrop Grumman's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Northrop Grumman Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Northrop Grumman Stock:Check out Historical Fundamental Analysis of Northrop Grumman to cross-verify your projections. For more detail on how to invest in Northrop Stock please use our How to Invest in Northrop Grumman guide.You can also try the Stocks Directory module to find actively traded stocks across global markets.