Designer Brands Stock Market Value
| DBI Stock | USD 5.04 0.15 3.07% |
| Symbol | Designer |
Designer Brands Price To Book Ratio
Is Specialty Retail space 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 Designer Brands. If investors know Designer 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 Designer 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 (0.57) | Dividend Share 0.2 | Earnings Share (0.03) | Revenue Per Share 53.234 | Quarterly Revenue Growth (0.03) |
The market value of Designer Brands is measured differently than its book value, which is the value of Designer that is recorded on the company's balance sheet. Investors also form their own opinion of Designer Brands' value that differs from its market value or its book value, called intrinsic value, which is Designer 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 Designer Brands' market value can be influenced by many factors that don't directly affect Designer 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 Designer Brands' value and its price as these two are different measures arrived at by different means. Investors typically determine if Designer Brands is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Designer 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.
Designer 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 Designer 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 Designer Brands.
| 11/30/2023 |
| 11/24/2024 |
If you would invest 0.00 in Designer Brands on November 30, 2023 and sell it all today you would earn a total of 0.00 from holding Designer Brands or generate 0.0% return on investment in Designer Brands over 360 days. Designer Brands is related to or competes with Wolverine World, Weyco, Steven Madden, Rocky Brands, Continental, and Vera Bradley. Designer Brands Inc., together with its subsidiaries, designs, manufactures, and retails footwear and accessories for wo... More
Designer 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 Designer 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 Designer Brands upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 19.89 | |||
| Value At Risk | (7.74) | |||
| Potential Upside | 6.76 |
Designer Brands Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Designer Brands' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Designer Brands' standard deviation. In reality, there are many statistical measures that can use Designer Brands historical prices to predict the future Designer Brands' volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.72) | |||
| Total Risk Alpha | (1.19) | |||
| Treynor Ratio | (0.45) |
Designer Brands Backtested Returns
Designer Brands secures Sharpe Ratio (or Efficiency) of -0.16, which denotes the company had a -0.16% return per unit of risk over the last 3 months. Designer Brands exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Designer Brands' Variance of 15.8, standard deviation of 3.97, and Mean Deviation of 2.94 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.25, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Designer Brands will likely underperform. At this point, Designer Brands has a negative expected return of -0.62%. Please make sure to confirm Designer Brands' accumulation distribution, and the relationship between the potential upside and day median price , to decide if Designer Brands performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.06 |
Very weak reverse predictability
Designer Brands has very weak reverse predictability. Overlapping area represents the amount of predictability between Designer Brands time series from 30th of November 2023 to 28th of May 2024 and 28th of May 2024 to 24th of November 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 Designer Brands price movement. The serial correlation of -0.06 indicates that barely 6.0% of current Designer Brands price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | -0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 1.18 |
Designer Brands lagged returns against current returns
Autocorrelation, which is Designer 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 Designer Brands' stock expected returns. We can calculate the autocorrelation of Designer Brands returns to help us make a trade decision. For example, suppose you find that Designer 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 |
Designer 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 Designer Brands stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Designer Brands stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Designer Brands stock over time.
Current vs Lagged Prices |
| Timeline |
Designer Brands Lagged Returns
When evaluating Designer Brands' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Designer Brands stock have on its future price. Designer 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, Designer Brands autocorrelation shows the relationship between Designer Brands stock current value and its past values and can show if there is a momentum factor associated with investing in Designer Brands.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Designer Brands offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Designer Brands' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Designer Brands Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Designer Brands Stock:Check out Designer Brands Correlation, Designer Brands Volatility and Designer Brands Alpha and Beta module to complement your research on Designer Brands. For more detail on how to invest in Designer Stock please use our How to Invest in Designer Brands guide.You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Designer 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.