Viavi Solutions Stock Forecast - Polynomial Regression

VIAV Stock  USD 10.37  0.43  4.33%   
The Polynomial Regression forecasted value of Viavi Solutions on the next trading day is expected to be 10.22 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.91. Viavi Stock Forecast is based on your current time horizon.
  
Fixed Asset Turnover is likely to climb to 5.16 in 2024, whereas Inventory Turnover is likely to drop 4.21 in 2024. . Common Stock Shares Outstanding is likely to drop to about 182.5 M in 2024. Net Income Applicable To Common Shares is likely to drop to about 15.2 M in 2024.
Viavi Solutions polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Viavi Solutions as well as the accuracy indicators are determined from the period prices.

Viavi Solutions Polynomial Regression Price Forecast For the 4th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Viavi Solutions on the next trading day is expected to be 10.22 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.06, and the sum of the absolute errors of 10.91.
Please note that although there have been many attempts to predict Viavi 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 Viavi Solutions' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Viavi Solutions Stock Forecast Pattern

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Viavi Solutions Forecasted Value

In the context of forecasting Viavi Solutions' 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. Viavi Solutions' downside and upside margins for the forecasting period are 8.39 and 12.05, respectively. We have considered Viavi Solutions' 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
10.37
10.22
Expected Value
12.05
Upside

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 Viavi Solutions stock data series using in forecasting. Note that when a statistical model is used to represent Viavi Solutions 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 Criteria115.2539
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1789
MAPEMean absolute percentage error0.0187
SAESum of the absolute errors10.9147
A single variable polynomial regression model attempts to put a curve through the Viavi Solutions historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Viavi Solutions

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Viavi Solutions. 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
8.6010.4312.26
Details
Intrinsic
Valuation
LowRealHigh
10.1812.0113.84
Details
Bollinger
Band Projection (param)
LowMiddleHigh
9.469.8810.29
Details
9 Analysts
Consensus
LowTargetHigh
11.0112.1013.43
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Viavi Solutions. Your research has to be compared to or analyzed against Viavi Solutions' peers to derive any actionable benefits. When done correctly, Viavi Solutions' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Viavi Solutions.

Other Forecasting Options for Viavi Solutions

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

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 Risk & Return  Correlation

Viavi Solutions 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 Viavi Solutions' 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 Viavi Solutions' current price.

Viavi Solutions Market Strength Events

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

Viavi Solutions Risk Indicators

The analysis of Viavi Solutions' 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 Viavi Solutions' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting viavi 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.

Thematic Opportunities

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Additional Tools for Viavi Stock Analysis

When running Viavi Solutions' price analysis, check to measure Viavi Solutions' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Viavi Solutions is operating at the current time. Most of Viavi Solutions' value examination focuses on studying past and present price action to predict the probability of Viavi Solutions' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Viavi Solutions' price. Additionally, you may evaluate how the addition of Viavi Solutions to your portfolios can decrease your overall portfolio volatility.