Helmerich Stock Forecast - Naive Prediction

Helmerich Cash Forecast

A naive forecasting model for Helmerich is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Helmerich and Payne 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.

Helmerich Naive Prediction Price Forecast For the 30th of November

Given 90 days horizon, the Naive Prediction forecasted value of Helmerich and Payne on the next trading day is expected to be 34.73 with a mean absolute deviation of 0.91, mean absolute percentage error of 1.25, and the sum of the absolute errors of 55.21.

Helmerich Stock Forecast Pattern

Backtest Helmerich

Helmerich Price Prediction

Buy or Sell Advice

Helmerich Forecasted Value

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 Helmerich stock data series using in forecasting. Note that when a statistical model is used to represent Helmerich 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. This model is not at all useful as a medium-long range forecasting tool of Helmerich and Payne. 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 Helmerich. 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 Helmerich

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Helmerich and Payne. 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 Low Estimated High 32.29 34.78 37.27 Details

Intrinsic Valuation Low Real High 31.37 39.00 41.49 Details

Bollinger Band Projection (param) Low Middle High 32.20 34.52 36.85 Details

17 Analysts Consensus Low Target High 43.52 47.82 53.08 Details

Other Forecasting Options for Helmerich

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

Helmerich Related Equities

Risk & Return

Correlation

Helmerich and Payne 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 Helmerich'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 Helmerich's current price.

Helmerich Market Strength Events

Helmerich Risk Indicators

Pair Trading with Helmerich

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

Additional Tools for Helmerich Stock Analysis