National Healthcare Stock Forecast - Simple Regression

National Healthcare Additional Predictive Modules

Most predictive techniques to examine National price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for National using various technical indicators. When you analyze National charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur. Simple Regression model is a single variable regression model that attempts to put a straight line through National Healthcare price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

National Healthcare Simple Regression Price Forecast For the 27th of January

Given 90 days horizon, the Simple Regression forecasted value of National Healthcare Properties on the next trading day is expected to be 18.74 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.05, and the sum of the absolute errors of 11.19.

National Healthcare Stock Forecast Pattern

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National Healthcare Price Prediction

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National Healthcare Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of National Healthcare stock data series using in forecasting. Note that when a statistical model is used to represent National Healthcare 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. In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as National Healthcare Properties historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for National Healthcare

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as National Healthcare. 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 18.10 18.94 19.78 Details

Intrinsic Valuation Low Real High 14.49 15.33 20.86 Details

Bollinger Band Projection (param) Low Middle High 17.59 18.34 19.09 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as National Healthcare. Your research has to be compared to or analyzed against National Healthcare's peers to derive any actionable benefits. When done correctly, National Healthcare'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 National Healthcare.

National Healthcare After-Hype Price Density Analysis

National Healthcare Estimiated After-Hype Price Volatility

National Healthcare Stock Price Outlook Analysis

Notes

National Healthcare Hype Timeline

National Healthcare is now traded for 18.96. The entity has historical hype elasticity of -0.02, and average elasticity to hype of competition of 0.01. National is forecasted to decline in value after the next headline, with the price expected to drop to 18.94. The average volatility of media hype impact on the company price is over 100%. The price reduction on the next news is expected to be -0.11%, whereas the daily expected return is now at 0.19%. The volatility of related hype on National Healthcare is about 2333.33%, with the expected price after the next announcement by competition of 18.97. About 21.0% of the company shares are owned by institutional investors. The company last dividend was issued on the 2nd of January 2026. Assuming the 90 days horizon the next forecasted press release will be in about 7 days. Check out Historical Fundamental Analysis of National Healthcare to cross-verify your projections. To learn how to invest in National Stock, please use our How to Invest in National Healthcare guide.

National Healthcare Related Hype Analysis

Other Forecasting Options for National Healthcare

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

National Healthcare Related Equities

Risk & Return

Correlation

National Healthcare Market Strength Events

National Healthcare Risk Indicators

Story Coverage note for National Healthcare

Other Macroaxis Stories

National Healthcare Short Properties

Additional Tools for National Stock Analysis