Ubiquiti Networks Stock Forecast - 20 Period Moving Average

UI Stock  USD 356.51  4.00  1.13%   
The 20 Period Moving Average forecasted value of Ubiquiti Networks on the next trading day is expected to be 323.77 with a mean absolute deviation of 32.26 and the sum of the absolute errors of 1,322. Ubiquiti Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Ubiquiti Networks' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
The Ubiquiti Networks' current Payables Turnover is estimated to increase to 24.43, while Inventory Turnover is projected to decrease to 2.44. . The current Common Stock Shares Outstanding is estimated to decrease to about 58.6 M. The current Net Income Applicable To Common Shares is estimated to decrease to about 270.8 M.
A commonly used 20-period moving average forecast model for Ubiquiti Networks is based on a synthetically constructed Ubiquiti Networksdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Ubiquiti Networks 20 Period Moving Average Price Forecast For the 29th of November

Given 90 days horizon, the 20 Period Moving Average forecasted value of Ubiquiti Networks on the next trading day is expected to be 323.77 with a mean absolute deviation of 32.26, mean absolute percentage error of 1,509, and the sum of the absolute errors of 1,322.
Please note that although there have been many attempts to predict Ubiquiti 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 Ubiquiti Networks' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ubiquiti Networks Stock Forecast Pattern

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Ubiquiti Networks Forecasted Value

In the context of forecasting Ubiquiti 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. Ubiquiti Networks' downside and upside margins for the forecasting period are 320.67 and 326.87, respectively. We have considered Ubiquiti 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
356.51
320.67
Downside
323.77
Expected Value
326.87
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Ubiquiti Networks stock data series using in forecasting. Note that when a statistical model is used to represent Ubiquiti 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 Criteria88.6722
BiasArithmetic mean of the errors -32.2291
MADMean absolute deviation32.2557
MAPEMean absolute percentage error0.1061
SAESum of the absolute errors1322.4835
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Ubiquiti Networks 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Ubiquiti 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 Ubiquiti 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
320.86363.51366.63
Details
Intrinsic
Valuation
LowRealHigh
259.44262.56392.16
Details
2 Analysts
Consensus
LowTargetHigh
247.52272.00301.92
Details
Earnings
Estimates (0)
LowProjected EPSHigh
2.142.142.14
Details

Other Forecasting Options for Ubiquiti Networks

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

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

Ubiquiti 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 Ubiquiti 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 Ubiquiti Networks' current price.

Ubiquiti Networks Market Strength Events

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

Ubiquiti Networks Risk Indicators

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

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Check out Historical Fundamental Analysis of Ubiquiti Networks to cross-verify your projections.
For more detail on how to invest in Ubiquiti Stock please use our How to Invest in Ubiquiti Networks guide.
You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Is Communications Equipment 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 Ubiquiti Networks. If investors know Ubiquiti 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 Ubiquiti Networks 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
0.46
Dividend Share
2.4
Earnings Share
6.38
Revenue Per Share
33.341
Quarterly Revenue Growth
0.188
The market value of Ubiquiti Networks is measured differently than its book value, which is the value of Ubiquiti that is recorded on the company's balance sheet. Investors also form their own opinion of Ubiquiti Networks' value that differs from its market value or its book value, called intrinsic value, which is Ubiquiti Networks' 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 Ubiquiti Networks' market value can be influenced by many factors that don't directly affect Ubiquiti Networks' 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 Ubiquiti Networks' value and its price as these two are different measures arrived at by different means. Investors typically determine if Ubiquiti Networks is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ubiquiti 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.