Hewlett Packard Stock Forecast - Simple Regression
| HPE-PC Stock | 62.21 1.62 2.67% |
The Simple Regression forecasted value of Hewlett Packard Enterprise on the next trading day is expected to be 63.07 with a mean absolute deviation of 1.32 and the sum of the absolute errors of 80.25. Hewlett Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Hewlett Packard stock prices and determine the direction of Hewlett Packard Enterprise's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Hewlett Packard's historical fundamentals, such as revenue growth or operating cash flow patterns.
Hewlett |
Hewlett Packard Simple Regression Price Forecast For the 24th of December
Given 90 days horizon, the Simple Regression forecasted value of Hewlett Packard Enterprise on the next trading day is expected to be 63.07 with a mean absolute deviation of 1.32, mean absolute percentage error of 2.83, and the sum of the absolute errors of 80.25.Please note that although there have been many attempts to predict Hewlett 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 Hewlett Packard's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Hewlett Packard Stock Forecast Pattern
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Hewlett Packard Forecasted Value
In the context of forecasting Hewlett Packard'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. Hewlett Packard's downside and upside margins for the forecasting period are 60.94 and 65.20, respectively. We have considered Hewlett Packard'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 Hewlett Packard stock data series using in forecasting. Note that when a statistical model is used to represent Hewlett Packard 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 | 119.1525 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.3155 |
| MAPE | Mean absolute percentage error | 0.0215 |
| SAE | Sum of the absolute errors | 80.2459 |
Predictive Modules for Hewlett Packard
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hewlett Packard Ente. 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 Hewlett Packard
For every potential investor in Hewlett, whether a beginner or expert, Hewlett Packard's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Hewlett Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Hewlett. Basic forecasting techniques help filter out the noise by identifying Hewlett Packard's price trends.Hewlett Packard 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 Hewlett Packard stock to make a market-neutral strategy. Peer analysis of Hewlett Packard could also be used in its relative valuation, which is a method of valuing Hewlett Packard by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Hewlett Packard Ente 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 Hewlett Packard'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 Hewlett Packard's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Hewlett Packard Market Strength Events
Market strength indicators help investors to evaluate how Hewlett Packard stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Hewlett Packard shares will generate the highest return on investment. By undertsting and applying Hewlett Packard stock market strength indicators, traders can identify Hewlett Packard Enterprise entry and exit signals to maximize returns.
Hewlett Packard Risk Indicators
The analysis of Hewlett Packard'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 Hewlett Packard's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hewlett 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 | 1.39 | |||
| Semi Deviation | 1.83 | |||
| Standard Deviation | 2.1 | |||
| Variance | 4.42 | |||
| Downside Variance | 4.25 | |||
| Semi Variance | 3.34 | |||
| Expected Short fall | (1.42) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Hewlett Packard Ente is a strong investment it is important to analyze Hewlett Packard's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Hewlett Packard's future performance. For an informed investment choice regarding Hewlett Stock, refer to the following important reports:Check out Historical Fundamental Analysis of Hewlett Packard to cross-verify your projections. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.