Juniper Networks Stock Forecast - Polynomial Regression

0JPH Stock   37.24  0.49  1.30%   
The Polynomial Regression forecasted value of Juniper Networks on the next trading day is expected to be 37.79 with a mean absolute deviation of 0.59 and the sum of the absolute errors of 36.19. Juniper Stock Forecast is based on your current time horizon.
  
At this time, Juniper Networks' Other Stockholder Equity is comparatively stable compared to the past year. Accumulated Other Comprehensive Income is likely to gain to about 51.6 M in 2024, whereas Short and Long Term Debt Total is likely to drop slightly above 1.3 B in 2024.
Juniper Networks polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Juniper Networks as well as the accuracy indicators are determined from the period prices.

Juniper Networks Polynomial Regression Price Forecast For the 19th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Juniper Networks on the next trading day is expected to be 37.79 with a mean absolute deviation of 0.59, mean absolute percentage error of 0.49, and the sum of the absolute errors of 36.19.
Please note that although there have been many attempts to predict Juniper 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 Juniper Networks' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Juniper Networks Stock Forecast Pattern

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Juniper Networks Forecasted Value

In the context of forecasting Juniper Networks' 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. Juniper Networks' downside and upside margins for the forecasting period are 36.75 and 38.83, respectively. We have considered Juniper Networks' 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
37.24
37.79
Expected Value
38.83
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 Juniper Networks stock data series using in forecasting. Note that when a statistical model is used to represent Juniper 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 Criteria117.392
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5933
MAPEMean absolute percentage error0.0158
SAESum of the absolute errors36.1937
A single variable polynomial regression model attempts to put a curve through the Juniper Networks 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 Juniper 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 Juniper 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
36.2037.2438.28
Details
Intrinsic
Valuation
LowRealHigh
34.2735.3140.96
Details
Bollinger
Band Projection (param)
LowMiddleHigh
35.0537.6940.33
Details

Other Forecasting Options for Juniper Networks

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

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

Juniper Networks 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 Juniper Networks' 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 Juniper Networks' current price.

Juniper Networks Market Strength Events

Market strength indicators help investors to evaluate how Juniper 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 Juniper Networks shares will generate the highest return on investment. By undertsting and applying Juniper Networks stock market strength indicators, traders can identify Juniper Networks entry and exit signals to maximize returns.

Juniper Networks Risk Indicators

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

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.

Additional Tools for Juniper Stock Analysis

When running Juniper Networks' price analysis, check to measure Juniper Networks' 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 Juniper Networks is operating at the current time. Most of Juniper Networks' value examination focuses on studying past and present price action to predict the probability of Juniper Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Juniper Networks' price. Additionally, you may evaluate how the addition of Juniper Networks to your portfolios can decrease your overall portfolio volatility.