Hamilton Beach Brands Stock Market Value
| HBB Stock | USD 21.13 0.16 0.75% |
| Symbol | Hamilton |
Hamilton Beach Brands Price To Book Ratio
Is Hamilton Beach's 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 Hamilton Beach. If investors know Hamilton 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 Hamilton Beach 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 1.744 | Dividend Share 0.435 | Earnings Share 1.8 | Revenue Per Share 44.573 | Quarterly Revenue Growth 0.053 |
The market value of Hamilton Beach Brands is measured differently than its book value, which is the value of Hamilton that is recorded on the company's balance sheet. Investors also form their own opinion of Hamilton Beach's value that differs from its market value or its book value, called intrinsic value, which is Hamilton Beach's 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 Hamilton Beach's market value can be influenced by many factors that don't directly affect Hamilton Beach's 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 Hamilton Beach's value and its price as these two are different measures arrived at by different means. Investors typically determine if Hamilton Beach is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hamilton Beach's 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.
Hamilton Beach '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 Hamilton Beach's 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 Hamilton Beach.
| 03/21/2024 |
| 04/20/2024 |
If you would invest 0.00 in Hamilton Beach on March 21, 2024 and sell it all today you would earn a total of 0.00 from holding Hamilton Beach Brands or generate 0.0% return on investment in Hamilton Beach over 30 days. Hamilton Beach is related to or competes with Meta Materials, Sphere 3D, Katapult Holdings, Thrivent High, Morningstar Unconstrained, Via Renewables, and T Rowe. Hamilton Beach Brands Holding Company, together with its subsidiaries, designs, markets, and distributes small electric ... More
Hamilton Beach 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 Hamilton Beach's 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 Hamilton Beach Brands upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.39 | |||
| Information Ratio | 0.0334 | |||
| Maximum Drawdown | 20.75 | |||
| Value At Risk | (6.10) | |||
| Potential Upside | 6.27 |
Hamilton Beach Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hamilton Beach's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hamilton Beach's standard deviation. In reality, there are many statistical measures that can use Hamilton Beach historical prices to predict the future Hamilton Beach's volatility.| Risk Adjusted Performance | 0.0433 | |||
| Jensen Alpha | 0.1372 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | 0.0354 | |||
| Treynor Ratio | 0.253 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hamilton Beach's 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.
Hamilton Beach Brands Backtested Returns
Hamilton Beach appears to be not too volatile, given 3 months investment horizon. Hamilton Beach Brands holds Efficiency (Sharpe) Ratio of 0.0675, which attests that the entity had a 0.0675% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Hamilton Beach Brands, which you can use to evaluate the volatility of the firm. Please utilize Hamilton Beach's Risk Adjusted Performance of 0.0433, market risk adjusted performance of 0.263, and Downside Deviation of 3.39 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Hamilton Beach holds a performance score of 5. The company retains a Market Volatility (i.e., Beta) of 0.77, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Hamilton Beach's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hamilton Beach is expected to be smaller as well. Please check Hamilton Beach's maximum drawdown, semi variance, and the relationship between the sortino ratio and potential upside , to make a quick decision on whether Hamilton Beach's current trending patterns will revert.
Auto-correlation | -0.55 |
Good reverse predictability
Hamilton Beach Brands has good reverse predictability. Overlapping area represents the amount of predictability between Hamilton Beach time series from 21st of March 2024 to 5th of April 2024 and 5th of April 2024 to 20th 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 Hamilton Beach Brands price movement. The serial correlation of -0.55 indicates that about 55.0% of current Hamilton Beach price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.55 | |
| Spearman Rank Test | -0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 1.31 |
Hamilton Beach Brands lagged returns against current returns
Autocorrelation, which is Hamilton Beach 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 Hamilton Beach's stock expected returns. We can calculate the autocorrelation of Hamilton Beach returns to help us make a trade decision. For example, suppose you find that Hamilton Beach 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 |
Hamilton Beach 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 Hamilton Beach stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hamilton Beach stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hamilton Beach stock over time.
Current vs Lagged Prices |
| Timeline |
Hamilton Beach Lagged Returns
When evaluating Hamilton Beach's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hamilton Beach stock have on its future price. Hamilton Beach 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, Hamilton Beach autocorrelation shows the relationship between Hamilton Beach stock current value and its past values and can show if there is a momentum factor associated with investing in Hamilton Beach Brands.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Hamilton Beach Correlation, Hamilton Beach Volatility and Hamilton Beach Alpha and Beta module to complement your research on Hamilton Beach. Note that the Hamilton Beach Brands information on this page should be used as a complementary analysis to other Hamilton Beach's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
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When running Hamilton Beach's price analysis, check to measure Hamilton Beach's 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 Hamilton Beach is operating at the current time. Most of Hamilton Beach's value examination focuses on studying past and present price action to predict the probability of Hamilton Beach's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hamilton Beach's price. Additionally, you may evaluate how the addition of Hamilton Beach to your portfolios can decrease your overall portfolio volatility.
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Hamilton Beach 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.