Spectrum Brands Stock Forecast - Simple Moving Average
| SPB Stock | USD 90.37 0.11 0.12% |
The Simple Moving Average forecasted value of Spectrum Brands Holdings on the next trading day is expected to be 90.31 with a mean absolute deviation of 1.11 and the sum of the absolute errors of 65.22. Spectrum Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Spectrum Brands stock prices and determine the direction of Spectrum Brands Holdings's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Spectrum Brands' historical fundamentals, such as revenue growth or operating cash flow patterns.
Spectrum |
Spectrum Brands Simple Moving Average Price Forecast For the 23rd of November
Given 90 days horizon, the Simple Moving Average forecasted value of Spectrum Brands Holdings on the next trading day is expected to be 90.31 with a mean absolute deviation of 1.11, mean absolute percentage error of 2.00, and the sum of the absolute errors of 65.22.Please note that although there have been many attempts to predict Spectrum 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 Spectrum Brands' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Spectrum Brands Stock Forecast Pattern
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Spectrum Brands Forecasted Value
In the context of forecasting Spectrum 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. Spectrum Brands' downside and upside margins for the forecasting period are 88.90 and 91.73, respectively. We have considered Spectrum 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Spectrum Brands stock data series using in forecasting. Note that when a statistical model is used to represent Spectrum 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.| AIC | Akaike Information Criteria | 115.129 |
| Bias | Arithmetic mean of the errors | 0.092 |
| MAD | Mean absolute deviation | 1.1054 |
| MAPE | Mean absolute percentage error | 0.0121 |
| SAE | Sum of the absolute errors | 65.22 |
Predictive Modules for Spectrum 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 Spectrum Brands 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.Other Forecasting Options for Spectrum Brands
For every potential investor in Spectrum, whether a beginner or expert, Spectrum Brands' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Spectrum Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Spectrum. Basic forecasting techniques help filter out the noise by identifying Spectrum Brands' price trends.Spectrum 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 Spectrum Brands stock to make a market-neutral strategy. Peer analysis of Spectrum Brands could also be used in its relative valuation, which is a method of valuing Spectrum Brands by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Spectrum Brands 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 Spectrum 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 Spectrum Brands' current price.| Cycle Indicators | ||
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| Volume Indicators |
Spectrum Brands Market Strength Events
Market strength indicators help investors to evaluate how Spectrum 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 Spectrum Brands shares will generate the highest return on investment. By undertsting and applying Spectrum Brands stock market strength indicators, traders can identify Spectrum Brands Holdings entry and exit signals to maximize returns.
Spectrum Brands Risk Indicators
The analysis of Spectrum 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 Spectrum Brands' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting spectrum 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.
| Mean Deviation | 1.05 | |||
| Semi Deviation | 1.56 | |||
| Standard Deviation | 1.4 | |||
| Variance | 1.97 | |||
| Downside Variance | 2.53 | |||
| Semi Variance | 2.43 | |||
| Expected Short fall | (1.03) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Spectrum Brands Holdings offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Spectrum 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 Spectrum Brands Holdings Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Spectrum Brands Holdings Stock:Check out Historical Fundamental Analysis of Spectrum Brands to cross-verify your projections. You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Is Household 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 Spectrum Brands. If investors know Spectrum 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 Spectrum 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 (0.99) | Earnings Share 3.26 | Revenue Per Share 90.951 | Quarterly Revenue Growth 0.06 | Return On Assets 0.0154 |
The market value of Spectrum Brands Holdings is measured differently than its book value, which is the value of Spectrum that is recorded on the company's balance sheet. Investors also form their own opinion of Spectrum Brands' value that differs from its market value or its book value, called intrinsic value, which is Spectrum 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 Spectrum Brands' market value can be influenced by many factors that don't directly affect Spectrum 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 Spectrum Brands' value and its price as these two are different measures arrived at by different means. Investors typically determine if Spectrum Brands is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Spectrum 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.