AeroVironment Stock Forecast - Naive Prediction

AVAV Stock  USD 175.16  6.42  3.80%   
The Naive Prediction forecasted value of AeroVironment on the next trading day is expected to be 172.38 with a mean absolute deviation of 5.46 and the sum of the absolute errors of 332.92. AeroVironment Stock Forecast is based on your current time horizon.
  
At this time, AeroVironment's Inventory Turnover is fairly stable compared to the past year. Receivables Turnover is likely to climb to 4.39 in 2025, whereas Payables Turnover is likely to drop 7.40 in 2025. . Common Stock Shares Outstanding is likely to drop to about 22.9 M in 2025. Net Loss is likely to climb to about (150.7 M) in 2025.

Open Interest Against 2025-03-21 AeroVironment Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast AeroVironment's 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 AeroVironment's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for AeroVironment 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 AeroVironment's open interest, investors have to compare it to AeroVironment's 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 AeroVironment 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 AeroVironment. 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.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the AeroVironment's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2005-04-30
Previous Quarter
81.2 M
Current Value
69 M
Quarterly Volatility
56.5 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for AeroVironment is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of AeroVironment 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.

AeroVironment Naive Prediction Price Forecast For the 22nd of January

Given 90 days horizon, the Naive Prediction forecasted value of AeroVironment on the next trading day is expected to be 172.38 with a mean absolute deviation of 5.46, mean absolute percentage error of 51.20, and the sum of the absolute errors of 332.92.
Please note that although there have been many attempts to predict AeroVironment 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 AeroVironment's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AeroVironment Stock Forecast Pattern

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AeroVironment Forecasted Value

In the context of forecasting AeroVironment'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. AeroVironment's downside and upside margins for the forecasting period are 169.08 and 175.68, respectively. We have considered AeroVironment'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
175.16
169.08
Downside
172.38
Expected Value
175.68
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 AeroVironment stock data series using in forecasting. Note that when a statistical model is used to represent AeroVironment 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 Criteria122.0461
BiasArithmetic mean of the errors None
MADMean absolute deviation5.4577
MAPEMean absolute percentage error0.0297
SAESum of the absolute errors332.9219
This model is not at all useful as a medium-long range forecasting tool of AeroVironment. 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 AeroVironment. 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 AeroVironment

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AeroVironment. 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
172.05175.33178.61
Details
Intrinsic
Valuation
LowRealHigh
157.64196.82200.10
Details
7 Analysts
Consensus
LowTargetHigh
209.97230.74256.12
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.390.660.93
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as AeroVironment. Your research has to be compared to or analyzed against AeroVironment's peers to derive any actionable benefits. When done correctly, AeroVironment'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 AeroVironment.

Other Forecasting Options for AeroVironment

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

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 Risk & Return  Correlation

AeroVironment 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 AeroVironment'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 AeroVironment's current price.

AeroVironment Market Strength Events

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

AeroVironment Risk Indicators

The analysis of AeroVironment'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 AeroVironment's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting aerovironment 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 AeroVironment Stock Analysis

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