Airspan Networks Stock Forecast - Naive Prediction
| MIMO Stock | USD 0 0.01 80.00% |
The Naive Prediction forecasted value of Airspan Networks Holdings on the next trading day is expected to be -0.01 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.09. Airspan Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Airspan Networks stock prices and determine the direction of Airspan Networks Holdings's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Airspan Networks' historical fundamentals, such as revenue growth or operating cash flow patterns. Although Airspan Networks' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Airspan Networks' systematic risk associated with finding meaningful patterns of Airspan Networks fundamentals over time.
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population. Airspan |
Open Interest Against 2024-05-17 Airspan Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Airspan Networks' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Airspan Networks' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Airspan Networks stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Airspan Networks' open interest, investors have to compare it to Airspan Networks' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Airspan Networks is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Airspan. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Airspan Networks cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Airspan Networks' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Airspan Networks' price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Airspan Networks is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Airspan Networks Holdings 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. Airspan Networks Naive Prediction Price Forecast For the 26th of April
Given 90 days horizon, the Naive Prediction forecasted value of Airspan Networks Holdings on the next trading day is expected to be -0.01 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0005, and the sum of the absolute errors of 1.09.Please note that although there have been many attempts to predict Airspan 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 Airspan Networks' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Airspan Networks Stock Forecast Pattern
| Backtest Airspan Networks | Airspan Networks Price Prediction | Buy or Sell Advice |
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 Airspan Networks stock data series using in forecasting. Note that when a statistical model is used to represent Airspan 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.| AIC | Akaike Information Criteria | 112.3865 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0177 |
| MAPE | Mean absolute percentage error | 0.4387 |
| SAE | Sum of the absolute errors | 1.0948 |
Predictive Modules for Airspan 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 Airspan Networks Holdings. 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 Airspan Networks' 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.
Airspan 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 Airspan Networks stock to make a market-neutral strategy. Peer analysis of Airspan Networks could also be used in its relative valuation, which is a method of valuing Airspan Networks by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Airspan Networks Market Strength Events
Market strength indicators help investors to evaluate how Airspan 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 Airspan Networks shares will generate the highest return on investment. By undertsting and applying Airspan Networks stock market strength indicators, traders can identify Airspan Networks Holdings entry and exit signals to maximize returns.
Airspan Networks Risk Indicators
The analysis of Airspan 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 Airspan Networks' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting airspan 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.
| Mean Deviation | 12.32 | |||
| Semi Deviation | 16.0 | |||
| Standard Deviation | 28.4 | |||
| Variance | 806.38 | |||
| Downside Variance | 448.22 | |||
| Semi Variance | 255.86 | |||
| Expected Short fall | (25.66) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Airspan Networks in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Airspan Networks' short interest history, or implied volatility extrapolated from Airspan Networks options trading.
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Try AI Portfolio ArchitectCheck out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Airspan Stock analysis
When running Airspan Networks' price analysis, check to measure Airspan 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 Airspan Networks is operating at the current time. Most of Airspan Networks' value examination focuses on studying past and present price action to predict the probability of Airspan Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Airspan Networks' price. Additionally, you may evaluate how the addition of Airspan Networks to your portfolios can decrease your overall portfolio volatility.
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Is Airspan Networks' industry 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 Airspan Networks. If investors know Airspan 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 Airspan Networks listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.75) | Revenue Per Share 1.517 | Quarterly Revenue Growth (0.65) | Return On Assets (0.34) |
The market value of Airspan Networks Holdings is measured differently than its book value, which is the value of Airspan that is recorded on the company's balance sheet. Investors also form their own opinion of Airspan Networks' value that differs from its market value or its book value, called intrinsic value, which is Airspan 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 Airspan Networks' market value can be influenced by many factors that don't directly affect Airspan 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 Airspan Networks' value and its price as these two are different measures arrived at by different means. Investors typically determine if Airspan Networks is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Airspan 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.