Designer Brands Stock Forecast - Naive Prediction
| DBI Stock | USD 5.72 0.16 2.72% |
The Naive Prediction forecasted value of Designer Brands on the next trading day is expected to be 6.30 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.53. Designer Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Designer Brands' historical fundamentals, such as revenue growth or operating cash flow patterns.
Designer |
Open Interest Against 2025-04-17 Designer Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Designer Brands' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Designer Brands' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Designer Brands stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Designer Brands' open interest, investors have to compare it to Designer Brands' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Designer Brands is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Designer. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Designer Brands Cash Forecast
Predicting cash flow or other financial metrics requires analysts to utilize a variety of statistical methods, techniques, and algorithms. These tools help uncover hidden patterns in the Designer Brands' financial statements, enabling forecasts of their impact on future stock prices.
Cash | First Reported 2001-01-31 | Previous Quarter 38.8 M | Current Value 36.2 M | Quarterly Volatility 53.6 M |
Designer Brands Naive Prediction Price Forecast For the 19th of January
Given 90 days horizon, the Naive Prediction forecasted value of Designer Brands on the next trading day is expected to be 6.30 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.05, and the sum of the absolute errors of 10.53.Please note that although there have been many attempts to predict Designer Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Designer Brands' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Designer Brands Stock Forecast Pattern
| Backtest Designer Brands | Designer Brands Price Prediction | Buy or Sell Advice |
Designer Brands Forecasted Value
In the context of forecasting Designer Brands' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Designer Brands' downside and upside margins for the forecasting period are 1.80 and 10.80, respectively. We have considered Designer Brands' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Designer Brands stock data series using in forecasting. Note that when a statistical model is used to represent Designer Brands stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 116.8801 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1698 |
| MAPE | Mean absolute percentage error | 0.0315 |
| SAE | Sum of the absolute errors | 10.5265 |
Predictive Modules for Designer 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 Designer Brands. 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.Other Forecasting Options for Designer Brands
For every potential investor in Designer, whether a beginner or expert, Designer Brands' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Designer Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Designer. Basic forecasting techniques help filter out the noise by identifying Designer Brands' price trends.Designer Brands Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Designer Brands stock to make a market-neutral strategy. Peer analysis of Designer Brands could also be used in its relative valuation, which is a method of valuing Designer Brands by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Designer Brands Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Designer Brands' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Designer Brands' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Designer Brands Market Strength Events
Market strength indicators help investors to evaluate how Designer Brands stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Designer Brands shares will generate the highest return on investment. By undertsting and applying Designer Brands stock market strength indicators, traders can identify Designer Brands entry and exit signals to maximize returns.
| Accumulation Distribution | 55185.65 | |||
| Daily Balance Of Power | (0.53) | |||
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 5.83 | |||
| Day Typical Price | 5.79 | |||
| Price Action Indicator | (0.19) | |||
| Period Momentum Indicator | (0.16) |
Designer Brands Risk Indicators
The analysis of Designer Brands' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Designer Brands' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting designer stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 3.35 | |||
| Semi Deviation | 3.82 | |||
| Standard Deviation | 4.47 | |||
| Variance | 19.98 | |||
| Downside Variance | 15.05 | |||
| Semi Variance | 14.58 | |||
| Expected Short fall | (4.01) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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Check out Historical Fundamental Analysis of Designer Brands to cross-verify your projections. 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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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) | Earnings Share 0.04 | Revenue Per Share | Quarterly Revenue Growth (0.03) | Return On Assets |
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.