Spectrum Brands Holdings Stock Statistic Functions Time Series Forecast
| SPB Stock | USD 80.37 1.27 1.61% |
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Time Series Forecast uses simple linear regression to derive Spectrum Brands Holdings best fit line over a given time period and plot it forward over user-defined time period.
Spectrum Brands Technical Analysis Modules
Most technical analysis of Spectrum Brands help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Spectrum from various momentum indicators to cycle indicators. When you analyze Spectrum 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.| Cycle Indicators | ||
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About Spectrum Brands Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Spectrum Brands Holdings. We use our internally-developed statistical techniques to arrive at the intrinsic value of Spectrum Brands Holdings based on widely used predictive technical indicators. In general, we focus on analyzing Spectrum Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Spectrum Brands's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Spectrum Brands's intrinsic value. In addition to deriving basic predictive indicators for Spectrum Brands, we also check how macroeconomic factors affect Spectrum Brands price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.043 | 0.0215 | 0.0193 | 0.0163 | Price To Sales Ratio | 0.51 | 1.06 | 0.99 | 0.58 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Spectrum Brands' 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.
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Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Spectrum Brands Holdings. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in american community survey. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Complementary Tools for Spectrum Stock analysis
When running Spectrum Brands' price analysis, check to measure Spectrum Brands' 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 Spectrum Brands is operating at the current time. Most of Spectrum Brands' value examination focuses on studying past and present price action to predict the probability of Spectrum Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Spectrum Brands' price. Additionally, you may evaluate how the addition of Spectrum Brands to your portfolios can decrease your overall portfolio volatility.
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Is Spectrum Brands' industry 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 0.263 | Dividend Share 1.68 | Earnings Share (4.42) | Revenue Per Share 76.709 | Quarterly Revenue Growth (0.03) |
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.