Arista Networks Stock Forecast - Simple Regression

117 Stock  EUR 109.56  3.06  2.87%   
The Simple Regression forecasted value of Arista Networks on the next trading day is expected to be 117.41 with a mean absolute deviation of 3.92 and the sum of the absolute errors of 239.38. Arista Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Arista Networks' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Arista Networks price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Arista Networks Simple Regression Price Forecast For the 3rd of March

Given 90 days horizon, the Simple Regression forecasted value of Arista Networks on the next trading day is expected to be 117.41 with a mean absolute deviation of 3.92, mean absolute percentage error of 28.85, and the sum of the absolute errors of 239.38.
Please note that although there have been many attempts to predict Arista 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 Arista Networks' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Arista Networks Stock Forecast Pattern

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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 Arista Networks stock data series using in forecasting. Note that when a statistical model is used to represent Arista Networks 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 Criteria121.4727
BiasArithmetic mean of the errors None
MADMean absolute deviation3.9242
MAPEMean absolute percentage error0.0374
SAESum of the absolute errors239.3771
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Arista Networks historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Arista Networks

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Arista Networks. 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.
Hype
Prediction
LowEstimatedHigh
105.38109.56113.74
Details
Intrinsic
Valuation
LowRealHigh
103.74107.92112.10
Details
Bollinger
Band Projection (param)
LowMiddleHigh
99.47111.56123.65
Details

Arista Networks 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 Arista Networks stock to make a market-neutral strategy. Peer analysis of Arista Networks could also be used in its relative valuation, which is a method of valuing Arista Networks by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Arista Networks Market Strength Events

Market strength indicators help investors to evaluate how Arista Networks stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Arista Networks shares will generate the highest return on investment. By undertsting and applying Arista Networks stock market strength indicators, traders can identify Arista Networks entry and exit signals to maximize returns.

Arista Networks Risk Indicators

The analysis of Arista Networks' 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 Arista Networks' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting arista 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.

Currently Active Assets on Macroaxis

Additional Information and Resources on Investing in Arista Stock

When determining whether Arista Networks 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 Arista 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 Arista Networks Stock. Highlighted below are key reports to facilitate an investment decision about Arista Networks Stock:
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Please note, there is a significant difference between Arista Networks' value and its price as these two are different measures arrived at by different means. Investors typically determine if Arista Networks is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Arista Networks' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.