Infinera Stock Forecast - Naive Prediction

INFN Stock  USD 6.62  0.02  0.30%   
The Naive Prediction forecasted value of Infinera on the next trading day is expected to be 6.55 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.33. Infinera Stock Forecast is based on your current time horizon. Although Infinera's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Infinera's systematic risk associated with finding meaningful patterns of Infinera fundamentals over time.
  
At this time, Infinera's Payables Turnover is very stable compared to the past year. As of the 25th of November 2024, Receivables Turnover is likely to grow to 3.52, while Inventory Turnover is likely to drop 2.10. . As of the 25th of November 2024, Common Stock Shares Outstanding is likely to drop to about 121.6 M. In addition to that, Net Loss is likely to drop to about (71.9 M).

Infinera Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Infinera's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2005-12-31
Previous Quarter
115 M
Current Value
115.1 M
Quarterly Volatility
60.6 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Infinera is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Infinera value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Infinera Naive Prediction Price Forecast For the 26th of November

Given 90 days horizon, the Naive Prediction forecasted value of Infinera on the next trading day is expected to be 6.55 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 3.33.
Please note that although there have been many attempts to predict Infinera 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 Infinera's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Infinera Stock Forecast Pattern

Backtest InfineraInfinera Price PredictionBuy or Sell Advice 

Infinera Forecasted Value

In the context of forecasting Infinera'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. Infinera's downside and upside margins for the forecasting period are 5.57 and 7.53, respectively. We have considered Infinera'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
6.62
6.55
Expected Value
7.53
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Infinera stock data series using in forecasting. Note that when a statistical model is used to represent Infinera 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 Criteria112.7795
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0545
MAPEMean absolute percentage error0.0082
SAESum of the absolute errors3.3266
This model is not at all useful as a medium-long range forecasting tool of Infinera. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Infinera. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Infinera

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Infinera. 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
5.686.667.64
Details
Intrinsic
Valuation
LowRealHigh
5.686.667.64
Details
11 Analysts
Consensus
LowTargetHigh
6.126.737.47
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Infinera. Your research has to be compared to or analyzed against Infinera's peers to derive any actionable benefits. When done correctly, Infinera's 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 Infinera.

Other Forecasting Options for Infinera

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

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

Infinera 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 Infinera'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 Infinera's current price.

Infinera Market Strength Events

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

Infinera Risk Indicators

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

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 Infinera 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 Infinera will appreciate offsetting losses from the drop in the long position's value.

Moving against Infinera Stock

  0.74ASYS Amtech Systems Fiscal Year End 12th of December 2024 PairCorr
  0.61CAMT CamtekPairCorr
  0.49SIMO Silicon Motion TechnologyPairCorr
  0.43VECO Veeco InstrumentsPairCorr
  0.39ACLS Axcelis TechnologiesPairCorr
The ability to find closely correlated positions to Infinera could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Infinera 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 Infinera - 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 Infinera to buy it.
The correlation of Infinera 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 Infinera moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Infinera 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 Infinera 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 Infinera offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Infinera'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 Infinera Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Infinera Stock:
Check out Historical Fundamental Analysis of Infinera to cross-verify your projections.
To learn how to invest in Infinera Stock, please use our How to Invest in Infinera guide.
You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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 Infinera. If investors know Infinera 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 Infinera listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.47)
Revenue Per Share
6.254
Quarterly Revenue Growth
(0.1)
Return On Assets
(0.02)
Return On Equity
(0.71)
The market value of Infinera is measured differently than its book value, which is the value of Infinera that is recorded on the company's balance sheet. Investors also form their own opinion of Infinera's value that differs from its market value or its book value, called intrinsic value, which is Infinera'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 Infinera's market value can be influenced by many factors that don't directly affect Infinera'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 Infinera's value and its price as these two are different measures arrived at by different means. Investors typically determine if Infinera is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Infinera'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.