NOV Stock Forecast - 20 Period Moving Average

NOV Stock  USD 16.00  0.25  1.54%   
The 20 Period Moving Average forecasted value of NOV Inc on the next trading day is expected to be 16.10 with a mean absolute deviation of 0.44 and the sum of the absolute errors of 18.11. NOV Stock Forecast is based on your current time horizon.
  
At this time, NOV's Inventory Turnover is fairly stable compared to the past year. Payables Turnover is likely to climb to 7.76 in 2024, whereas Fixed Asset Turnover is likely to drop 3.38 in 2024. . Net Income Applicable To Common Shares is likely to climb to about 170.8 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 343 M in 2024.
A commonly used 20-period moving average forecast model for NOV Inc is based on a synthetically constructed NOVdaily 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.

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

Given 90 days horizon, the 20 Period Moving Average forecasted value of NOV Inc on the next trading day is expected to be 16.10 with a mean absolute deviation of 0.44, mean absolute percentage error of 0.27, and the sum of the absolute errors of 18.11.
Please note that although there have been many attempts to predict NOV 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 NOV's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

NOV Stock Forecast Pattern

Backtest NOVNOV Price PredictionBuy or Sell Advice 

NOV Forecasted Value

In the context of forecasting NOV'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. NOV's downside and upside margins for the forecasting period are 14.22 and 17.99, respectively. We have considered NOV'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
16.00
16.10
Expected Value
17.99
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 NOV stock data series using in forecasting. Note that when a statistical model is used to represent NOV 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 Criteria80.0309
BiasArithmetic mean of the errors 0.0175
MADMean absolute deviation0.4418
MAPEMean absolute percentage error0.0277
SAESum of the absolute errors18.1145
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. NOV Inc 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for NOV

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as NOV Inc. 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
14.1716.0617.95
Details
Intrinsic
Valuation
LowRealHigh
14.4020.5422.43
Details
25 Analysts
Consensus
LowTargetHigh
22.7925.0427.79
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.320.390.46
Details

Other Forecasting Options for NOV

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

View NOV Related Equities

 Risk & Return  Correlation

NOV Inc 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 NOV'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 NOV's current price.

NOV Market Strength Events

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

NOV Risk Indicators

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

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  

Additional Tools for NOV Stock Analysis

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