Spectrum Brands Holdings Stock Market Value
| SPB Stock | USD 78.58 1.49 1.86% |
| Symbol | Spectrum |
Spectrum Brands Holdings Price To Book Ratio
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.
Spectrum Brands 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Spectrum Brands' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Spectrum Brands.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in Spectrum Brands on March 17, 2024 and sell it all today you would earn a total of 0.00 from holding Spectrum Brands Holdings or generate 0.0% return on investment in Spectrum Brands over 30 days. Spectrum Brands is related to or competes with Unilever PLC, Estee Lauder, ELF Beauty, Coty, and Kenvue. Spectrum Brands Holdings, Inc. operates as a branded consumer products company worldwide More
Spectrum Brands Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Spectrum Brands' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Spectrum Brands Holdings upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.42 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 10.89 | |||
| Value At Risk | (2.43) | |||
| Potential Upside | 2.39 |
Spectrum Brands Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spectrum Brands' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spectrum Brands' standard deviation. In reality, there are many statistical measures that can use Spectrum Brands historical prices to predict the future Spectrum Brands' volatility.| Risk Adjusted Performance | 0.0144 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0105 |
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 Holdings Backtested Returns
We consider Spectrum Brands very steady. Spectrum Brands Holdings owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0219, which indicates the firm had a 0.0219% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Spectrum Brands Holdings, which you can use to evaluate the volatility of the company. Please validate Spectrum Brands' Semi Deviation of 1.39, risk adjusted performance of 0.0144, and Coefficient Of Variation of 7658.78 to confirm if the risk estimate we provide is consistent with the expected return of 0.0371%. Spectrum Brands has a performance score of 1 on a scale of 0 to 100. The entity has a beta of 1.1, which indicates a somewhat significant risk relative to the market. Spectrum Brands returns are very sensitive to returns on the market. As the market goes up or down, Spectrum Brands is expected to follow. Spectrum Brands Holdings right now has a risk of 1.7%. Please validate Spectrum Brands jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to decide if Spectrum Brands will be following its existing price patterns.
Auto-correlation | -0.61 |
Very good reverse predictability
Spectrum Brands Holdings has very good reverse predictability. Overlapping area represents the amount of predictability between Spectrum Brands time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 to 16th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Spectrum Brands Holdings price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current Spectrum Brands price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.61 | |
| Spearman Rank Test | -0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 3.8 |
Spectrum Brands Holdings lagged returns against current returns
Autocorrelation, which is Spectrum Brands stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Spectrum Brands' stock expected returns. We can calculate the autocorrelation of Spectrum Brands returns to help us make a trade decision. For example, suppose you find that Spectrum Brands has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Spectrum Brands regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Spectrum Brands stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Spectrum Brands stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Spectrum Brands stock over time.
Current vs Lagged Prices |
| Timeline |
Spectrum Brands Lagged Returns
When evaluating Spectrum Brands' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Spectrum Brands stock have on its future price. Spectrum Brands autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Spectrum Brands autocorrelation shows the relationship between Spectrum Brands stock current value and its past values and can show if there is a momentum factor associated with investing in Spectrum Brands Holdings.
Regressed Prices |
| Timeline |
Spectrum Brands Investors Sentiment
The influence of Spectrum Brands' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Spectrum. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Spectrum Brands' public news can be used to forecast risks associated with an investment in Spectrum. The trend in average sentiment can be used to explain how an investor holding Spectrum can time the market purely based on public headlines and social activities around Spectrum Brands Holdings. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Spectrum Brands' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Spectrum Brands' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Spectrum Brands' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Spectrum Brands.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Spectrum Brands in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Spectrum Brands' short interest history, or implied volatility extrapolated from Spectrum Brands options trading.
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Check out Spectrum Brands Correlation, Spectrum Brands Volatility and Spectrum Brands Alpha and Beta module to complement your research on Spectrum Brands. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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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Spectrum Brands technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.