A10 Network Stock Forecast - Simple Regression

ATEN Stock  USD 16.48  0.08  0.49%   
The Simple Regression forecasted value of A10 Network on the next trading day is expected to be 16.10 with a mean absolute deviation of 0.35 and the sum of the absolute errors of 21.16. A10 Stock Forecast is based on your current time horizon. Although A10 Network's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of A10 Network's systematic risk associated with finding meaningful patterns of A10 Network fundamentals over time.
  
At this time, A10 Network's Receivables Turnover is very stable compared to the past year. As of the 21st of November 2024, Asset Turnover is likely to grow to 1.08, while Inventory Turnover is likely to drop 1.98. . As of the 21st of November 2024, Net Income Applicable To Common Shares is likely to grow to about 56.6 M, while Common Stock Shares Outstanding is likely to drop about 67.9 M.
Simple Regression model is a single variable regression model that attempts to put a straight line through A10 Network 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.

A10 Network Simple Regression Price Forecast For the 22nd of November

Given 90 days horizon, the Simple Regression forecasted value of A10 Network on the next trading day is expected to be 16.10 with a mean absolute deviation of 0.35, mean absolute percentage error of 0.19, and the sum of the absolute errors of 21.16.
Please note that although there have been many attempts to predict A10 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 A10 Network's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

A10 Network Stock Forecast Pattern

Backtest A10 NetworkA10 Network Price PredictionBuy or Sell Advice 

A10 Network Forecasted Value

In the context of forecasting A10 Network'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. A10 Network's downside and upside margins for the forecasting period are 14.77 and 17.43, respectively. We have considered A10 Network'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.
Market Value
16.48
16.10
Expected Value
17.43
Upside

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 A10 Network stock data series using in forecasting. Note that when a statistical model is used to represent A10 Network 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 Criteria116.4573
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3469
MAPEMean absolute percentage error0.0235
SAESum of the absolute errors21.1613
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 A10 Network 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 A10 Network

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as A10 Network. 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 A10 Network'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.
Hype
Prediction
LowEstimatedHigh
15.1516.4817.81
Details
Intrinsic
Valuation
LowRealHigh
14.8318.4519.78
Details
Bollinger
Band Projection (param)
LowMiddleHigh
13.5615.3917.22
Details
4 Analysts
Consensus
LowTargetHigh
13.2014.5016.10
Details

Other Forecasting Options for A10 Network

For every potential investor in A10, whether a beginner or expert, A10 Network's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. A10 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in A10. Basic forecasting techniques help filter out the noise by identifying A10 Network's price trends.

A10 Network 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 A10 Network stock to make a market-neutral strategy. Peer analysis of A10 Network could also be used in its relative valuation, which is a method of valuing A10 Network by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

A10 Network 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 A10 Network'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 A10 Network's current price.

A10 Network Market Strength Events

Market strength indicators help investors to evaluate how A10 Network stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading A10 Network shares will generate the highest return on investment. By undertsting and applying A10 Network stock market strength indicators, traders can identify A10 Network entry and exit signals to maximize returns.

A10 Network Risk Indicators

The analysis of A10 Network'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 A10 Network's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting a10 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.

Pair Trading with A10 Network

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if A10 Network position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in A10 Network will appreciate offsetting losses from the drop in the long position's value.

Moving together with A10 Stock

  0.82S SentinelOnePairCorr

Moving against A10 Stock

  0.94VHAI VHAIPairCorr
  0.76VRAR Glimpse GroupPairCorr
  0.66MQ MarqetaPairCorr
  0.51VRNT Verint SystemsPairCorr
  0.43FAAS DigiAsia Corp Symbol ChangePairCorr
The ability to find closely correlated positions to A10 Network could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace A10 Network when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back A10 Network - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling A10 Network to buy it.
The correlation of A10 Network is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as A10 Network moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if A10 Network moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for A10 Network can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether A10 Network offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of A10 Network'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 A10 Network Stock. Outlined below are crucial reports that will aid in making a well-informed decision on A10 Network Stock:
Check out Historical Fundamental Analysis of A10 Network to cross-verify your projections.
To learn how to invest in A10 Stock, please use our How to Invest in A10 Network guide.
You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Is Systems Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of A10 Network. If investors know A10 will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about A10 Network listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.958
Dividend Share
0.24
Earnings Share
0.66
Revenue Per Share
3.475
Quarterly Revenue Growth
0.155
The market value of A10 Network is measured differently than its book value, which is the value of A10 that is recorded on the company's balance sheet. Investors also form their own opinion of A10 Network's value that differs from its market value or its book value, called intrinsic value, which is A10 Network's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because A10 Network's market value can be influenced by many factors that don't directly affect A10 Network's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between A10 Network's value and its price as these two are different measures arrived at by different means. Investors typically determine if A10 Network is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, A10 Network's 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.