Fortune Brands Stock Forecast - Naive Prediction

FBIN Stock   75.76  0.86  1.15%   
The Naive Prediction forecasted value of Fortune Brands Innovations on the next trading day is expected to be 74.03 with a mean absolute deviation of 1.27 and the sum of the absolute errors of 77.30. Fortune Stock Forecast is based on your current time horizon. Although Fortune Brands' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Fortune Brands' systematic risk associated with finding meaningful patterns of Fortune Brands fundamentals over time.
  
At this time, Fortune Brands' Inventory Turnover is very stable compared to the past year. As of the 22nd of November 2024, Payables Turnover is likely to grow to 8.69, while Receivables Turnover is likely to drop 6.88. . As of the 22nd of November 2024, Common Stock Shares Outstanding is likely to drop to about 121.2 M. In addition to that, Net Income Applicable To Common Shares is likely to drop to about 672.1 M.

Fortune Brands Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Fortune Brands' financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2010-12-31
Previous Quarter
355.1 M
Current Value
344.8 M
Quarterly Volatility
135.2 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Fortune Brands is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Fortune Brands Innovations 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.

Fortune Brands Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of Fortune Brands Innovations on the next trading day is expected to be 74.03 with a mean absolute deviation of 1.27, mean absolute percentage error of 2.31, and the sum of the absolute errors of 77.30.
Please note that although there have been many attempts to predict Fortune 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 Fortune Brands' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fortune Brands Stock Forecast Pattern

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Fortune Brands Forecasted Value

In the context of forecasting Fortune Brands' 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. Fortune Brands' downside and upside margins for the forecasting period are 72.42 and 75.64, respectively. We have considered Fortune Brands' 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
75.76
74.03
Expected Value
75.64
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 Fortune Brands stock data series using in forecasting. Note that when a statistical model is used to represent Fortune Brands 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 Criteria118.9459
BiasArithmetic mean of the errors None
MADMean absolute deviation1.2673
MAPEMean absolute percentage error0.0154
SAESum of the absolute errors77.3036
This model is not at all useful as a medium-long range forecasting tool of Fortune Brands Innovations. 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 Fortune Brands. 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 Fortune Brands

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fortune Brands Innov. 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
74.1575.7677.37
Details
Intrinsic
Valuation
LowRealHigh
64.5566.1683.34
Details
Bollinger
Band Projection (param)
LowMiddleHigh
70.6780.6290.56
Details
19 Analysts
Consensus
LowTargetHigh
69.9576.8785.33
Details

Other Forecasting Options for Fortune Brands

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

Fortune Brands Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Fortune Brands stock to make a market-neutral strategy. Peer analysis of Fortune Brands could also be used in its relative valuation, which is a method of valuing Fortune Brands by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Fortune Brands Innov 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 Fortune Brands' 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 Fortune Brands' current price.

Fortune Brands Market Strength Events

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

Fortune Brands Risk Indicators

The analysis of Fortune Brands' 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 Fortune Brands' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fortune 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.

Pair Trading with Fortune Brands

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

Moving against Fortune Stock

  0.42AIRJ Montana Technologies Symbol ChangePairCorr
  0.4AIRJW Montana Technologies Symbol ChangePairCorr
The ability to find closely correlated positions to Fortune Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fortune Brands when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Fortune Brands - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Fortune Brands Innovations to buy it.
The correlation of Fortune Brands is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fortune Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fortune Brands Innov moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Fortune Brands can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Fortune Brands Innov offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Fortune Brands' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Fortune Brands Innovations Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Fortune Brands Innovations Stock:
Check out Historical Fundamental Analysis of Fortune Brands to cross-verify your projections.
You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Is Building Products space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Fortune Brands. If investors know Fortune will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Fortune Brands listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.019
Dividend Share
0.95
Earnings Share
3.55
Revenue Per Share
37.269
Quarterly Revenue Growth
(0.08)
The market value of Fortune Brands Innov is measured differently than its book value, which is the value of Fortune that is recorded on the company's balance sheet. Investors also form their own opinion of Fortune Brands' value that differs from its market value or its book value, called intrinsic value, which is Fortune Brands' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Fortune Brands' market value can be influenced by many factors that don't directly affect Fortune Brands' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Fortune Brands' value and its price as these two are different measures arrived at by different means. Investors typically determine if Fortune Brands is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fortune Brands' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.