Spectrum Brands Holdings Stock Probability of Future Stock Price Finishing Over 52.0
| SPB Stock | USD 79.10 0.04 0.05% |
Spectrum |
Spectrum Brands Target Price Odds to finish over 52.0
The tendency of Spectrum Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay above $ 52.00 in 90 days |
| 79.10 | 90 days | 52.00 | close to 99 |
Based on a normal probability distribution, the odds of Spectrum Brands to stay above $ 52.00 in 90 days from now is close to 99 (This Spectrum Brands Holdings probability density function shows the probability of Spectrum Stock to fall within a particular range of prices over 90 days) . Probability of Spectrum Brands Holdings price to stay between $ 52.00 and its current price of $79.1 at the end of the 90-day period is about 14.71 .
Considering the 90-day investment horizon Spectrum Brands has a beta of 0.027. This usually implies as returns on the market go up, Spectrum Brands average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Spectrum Brands Holdings will be expected to be much smaller as well. Additionally Spectrum Brands Holdings has an alpha of 0.0165, implying that it can generate a 0.0165 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Spectrum Brands Price Density |
| Price |
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.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.
Spectrum Brands Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Spectrum Brands is not an exception. The market had few large corrections towards the Spectrum Brands' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Spectrum Brands Holdings, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Spectrum Brands within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.02 | |
β | Beta against NYSE Composite | 0.03 | |
σ | Overall volatility | 3.12 | |
Ir | Information ratio | -0.02 |
Spectrum Brands Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Spectrum Brands for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Spectrum Brands Holdings can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Spectrum Brands Holdings has about 243.7 M in cash with (409.7 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 6.07. | |
| Over 97.0% of the company shares are owned by institutional investors | |
| On 12th of March 2024 Spectrum Brands paid $ 0.42 per share dividend to its current shareholders |
Spectrum Brands Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Spectrum Stock often depends not only on the future outlook of the current and potential Spectrum Brands' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Spectrum Brands' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 39.5 M | |
| Cash And Short Term Investments | 1.9 B |
Spectrum Brands Technical Analysis
Spectrum Brands' future price can be derived by breaking down and analyzing its technical indicators over time. Spectrum Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Spectrum Brands Holdings. In general, you should focus on analyzing Spectrum Stock price patterns and their correlations with different microeconomic environments and drivers.
Spectrum Brands Predictive Forecast Models
Spectrum Brands' time-series forecasting models is one of many Spectrum Brands' stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Spectrum Brands' historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Spectrum Brands Holdings
Checking the ongoing alerts about Spectrum Brands for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Spectrum Brands Holdings help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Spectrum Brands Holdings has about 243.7 M in cash with (409.7 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 6.07. | |
| Over 97.0% of the company shares are owned by institutional investors | |
| On 12th of March 2024 Spectrum Brands paid $ 0.42 per share dividend to its current shareholders |
Check out Spectrum Brands Backtesting, Spectrum Brands Valuation, Spectrum Brands Correlation, Spectrum Brands Hype Analysis, Spectrum Brands Volatility, Spectrum Brands History as well as Spectrum Brands Performance. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
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.
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |
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.
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.