Spectrum Stock Market Value

SPB
 Stock
  

USD 66.68  14.02  26.62%   

Spectrum Brands' market value is the price at which a share of Spectrum Brands stock trades on a public exchange. It measures the collective expectations of Spectrum Brands Holdings investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Spectrum Brands Holdings and determine expected loss or profit from investing in Spectrum Brands over a given investment horizon. Additionally, take a look at Spectrum Brands Correlation, Spectrum Brands Volatility and Spectrum Brands Alpha and Beta module to complement your research on Spectrum Brands.
Symbol


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 YOY
(0.69) 
Market Capitalization
B
Quarterly Revenue Growth YOY
(0.011) 
Return On Assets
0.0076
Return On Equity
(5.65) 
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 Spectrum Brands value 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.
0.00
11/02/2022
No Change 0.00  0.0 
In 31 days
12/02/2022
0.00
If you would invest  0.00  in Spectrum Brands on November 2, 2022 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 Disney, Dupont De, General Electric, Anheuser Busch, Etsy, Anheuser-Busch InBev, and Home Depot. 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.

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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view 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. Please use the tools below to analyze the current value of Spectrum Brands in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
62.8967.6772.45
Details
Intrinsic
Valuation
LowReal ValueHigh
60.0177.6182.39
Details
5 Analysts
Consensus
LowTarget PriceHigh
102.00117.17125.00
Details
Earnings
Estimates (1)
LowProjected EPSHigh
3.443.443.44
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Spectrum Brands. Your research has to be compared to or analyzed against Spectrum Brands' peers to derive any actionable benefits. When done correctly, Spectrum Brands' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Spectrum Brands Holdings.

Spectrum Brands Holdings Backtested Returns

Spectrum Brands appears to be very steady, given 3 months investment horizon. Spectrum Brands Holdings owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0439, which indicates the firm had 0.0439% of return per unit of risk over the last 3 months. Our standpoint towards measuring the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. We have found twenty-eight technical indicators for Spectrum Brands Holdings, which you can use to evaluate the future volatility of the company. Please review Spectrum Brands' risk adjusted performance of (0.08), and Coefficient Of Variation of (1,721) to confirm if our risk estimates are consistent with your expectations.
On a scale of 0 to 100, Spectrum Brands holds a performance score of 3. The entity has a beta of 1.6244, which indicates a somewhat significant risk relative to the market. Let's try to break down what Spectrum's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Spectrum Brands will likely underperform. Although it is important to respect Spectrum Brands Holdings current price movements, it is better to be realistic regarding the information on the equity's historical returns. The philosophy towards measuring future performance of any stock is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By inspecting Spectrum Brands Holdings technical indicators, you can presently evaluate if the expected return of 0.21% will be sustainable into the future. Please operates Spectrum Brands jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution to make a quick decision on whether Spectrum Brands Holdings existing price patterns will revert.

Auto-correlation

    
  0.48  

Average predictability

Spectrum Brands Holdings has average predictability. Overlapping area represents the amount of predictability between Spectrum Brands time series from 2nd of November 2022 to 17th of November 2022 and 17th of November 2022 to 2nd of December 2022. 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 0.48 indicates that about 48.0% of current Spectrum Brands price fluctuation can be explain by its past prices.
Correlation Coefficient0.48
Spearman Rank Test0.84
Residual Average0.0
Price Variance26.98

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 stock 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 stock movement to match the lagging time series.
   Current and Lagged Values   
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       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   
Share
       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   
Share
       Timeline  

Be your own money manager

Our tools can tell you how much better you can do entering a position in Spectrum Brands without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Additionally, take a look at Spectrum Brands Correlation, Spectrum Brands Volatility and Spectrum Brands Alpha and Beta module to complement your research on Spectrum Brands. You can also try Commodity Channel Index module to use Commodity Channel Index to analyze current equity momentum.

Complementary Tools for analysis

When running Spectrum Brands Holdings 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 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.
A focus of Spectrum Brands technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Spectrum Brands trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...