Post Holdings Stock Forecast - Simple Regression

POST Stock  USD 107.88  0.29  0.27%   
The Simple Regression forecasted value of Post Holdings on the next trading day is expected to be 112.83 with a mean absolute deviation of 3.75 and the sum of the absolute errors of 228.98. Post Stock Forecast is based on your current time horizon.
  
At this time, Post Holdings' Payables Turnover is comparatively stable compared to the past year. Asset Turnover is likely to gain to 1.83 in 2025, whereas Inventory Turnover is likely to drop 5.57 in 2025. . Net Income Applicable To Common Shares is likely to gain to about 377.1 M in 2025, whereas Common Stock Shares Outstanding is likely to drop slightly above 57.5 M in 2025.

Open Interest Against 2025-03-21 Post Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Post Holdings' 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 Post Holdings' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Post Holdings 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 Post Holdings' open interest, investors have to compare it to Post Holdings' 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 Post Holdings 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 Post. 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Post Holdings 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.

Post Holdings Simple Regression Price Forecast For the 19th of January

Given 90 days horizon, the Simple Regression forecasted value of Post Holdings on the next trading day is expected to be 112.83 with a mean absolute deviation of 3.75, mean absolute percentage error of 18.79, and the sum of the absolute errors of 228.98.
Please note that although there have been many attempts to predict Post 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 Post Holdings' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Post Holdings Stock Forecast Pattern

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Post Holdings Forecasted Value

In the context of forecasting Post Holdings' 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. Post Holdings' downside and upside margins for the forecasting period are 111.67 and 113.99, respectively. We have considered Post Holdings' 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
107.88
111.67
Downside
112.83
Expected Value
113.99
Upside

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 Post Holdings stock data series using in forecasting. Note that when a statistical model is used to represent Post Holdings 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 Criteria121.0437
BiasArithmetic mean of the errors None
MADMean absolute deviation3.7539
MAPEMean absolute percentage error0.0332
SAESum of the absolute errors228.9849
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 Post Holdings 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 Post Holdings

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Post 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 Post Holdings' 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.
Hype
Prediction
LowEstimatedHigh
106.69107.86109.03
Details
Intrinsic
Valuation
LowRealHigh
97.09119.66120.83
Details
10 Analysts
Consensus
LowTargetHigh
117.21128.80142.97
Details
Earnings
Estimates (0)
LowProjected EPSHigh
1.061.521.77
Details

Other Forecasting Options for Post Holdings

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

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 Risk & Return  Correlation

Post Holdings 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 Post Holdings' 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 Post Holdings' current price.

Post Holdings Market Strength Events

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

Post Holdings Risk Indicators

The analysis of Post Holdings' 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 Post Holdings' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting post 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 Post Stock Analysis

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