DFS Furniture Stock Forward View - Simple Exponential Smoothing
| DF0 Stock | 2.24 0.04 1.75% |
DFS Stock outlook is based on your current time horizon.
At this time the value of rsi of DFS Furniture's share price is below 20 suggesting that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using DFS Furniture hype-based prediction, you can estimate the value of DFS Furniture PLC from the perspective of DFS Furniture response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of DFS Furniture PLC on the next trading day is expected to be 2.24 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.99. DFS Furniture after-hype prediction price | EUR 2.18 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
DFS |
DFS Furniture Additional Predictive Modules
Most predictive techniques to examine DFS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for DFS using various technical indicators. When you analyze DFS charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
DFS Furniture Simple Exponential Smoothing Price Forecast For the 7th of February
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of DFS Furniture PLC on the next trading day is expected to be 2.24 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.99.Please note that although there have been many attempts to predict DFS Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that DFS Furniture's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
DFS Furniture Stock Forecast Pattern
| Backtest DFS Furniture | DFS Furniture Price Prediction | Research Analysis |
DFS Furniture Forecasted Value
In the context of forecasting DFS Furniture's 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. DFS Furniture's downside and upside margins for the forecasting period are 0.02 and 4.80, respectively. We have considered DFS Furniture's 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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of DFS Furniture stock data series using in forecasting. Note that when a statistical model is used to represent DFS Furniture 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 | 111.9742 |
| Bias | Arithmetic mean of the errors | -0.0129 |
| MAD | Mean absolute deviation | 0.0326 |
| MAPE | Mean absolute percentage error | 0.0171 |
| SAE | Sum of the absolute errors | 1.9894 |
Predictive Modules for DFS Furniture
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DFS Furniture PLC. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DFS Furniture'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.
DFS Furniture After-Hype Price Density Analysis
As far as predicting the price of DFS Furniture at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in DFS Furniture or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of DFS Furniture, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
DFS Furniture Estimiated After-Hype Price Volatility
In the context of predicting DFS Furniture's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on DFS Furniture's historical news coverage. DFS Furniture's after-hype downside and upside margins for the prediction period are 0.11 and 4.72, respectively. We have considered DFS Furniture's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
DFS Furniture is unstable at this time. Analysis and calculation of next after-hype price of DFS Furniture PLC is based on 3 months time horizon.
DFS Furniture Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as DFS Furniture is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading DFS Furniture backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with DFS Furniture, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.52 | 2.56 | 0.06 | 0.03 | 3 Events / Month | 1 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
2.24 | 2.18 | 2.68 |
|
DFS Furniture Hype Timeline
DFS Furniture PLC is currently traded for 2.24on Stuttgart Exchange of Germany. The entity has historical hype elasticity of -0.06, and average elasticity to hype of competition of 0.03. DFS is anticipated to decline in value after the next headline, with the price expected to drop to 2.18. The average volatility of media hype impact on the company price is over 100%. The price decline on the next news is expected to be -2.68%, whereas the daily expected return is currently at 0.52%. The volatility of related hype on DFS Furniture is about 4843.24%, with the expected price after the next announcement by competition of 2.27. The company has price-to-book (P/B) ratio of 1.78. Some equities with similar Price to Book (P/B) outperform the market in the long run. DFS Furniture PLC had not issued any dividends in recent years. The entity had 15:1 split on the 17th of November 2020. Assuming the 90 days trading horizon the next anticipated press release will be in about 3 days. Check out Historical Fundamental Analysis of DFS Furniture to cross-verify your projections.DFS Furniture Related Hype Analysis
Having access to credible news sources related to DFS Furniture's direct competition is more important than ever and may enhance your ability to predict DFS Furniture's future price movements. Getting to know how DFS Furniture's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how DFS Furniture may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PD0 | Pebblebrook Hotel Trust | 0.40 | 8 per month | 1.56 | 0.04 | 3.79 | (2.83) | 14.07 | |
| COP | Compugroup Medical SE | 0.08 | 1 per month | 1.13 | 0.06 | 2.62 | (2.16) | 6.41 | |
| HMT | Host Hotels Resorts | (0.40) | 7 per month | 1.52 | 0.10 | 4.14 | (3.36) | 11.40 | |
| MEL | Meli Hotels International | 0.09 | 4 per month | 1.19 | 0.03 | 2.65 | (2.37) | 6.72 | |
| GM0N | GLOBUS MEDICAL A | 0.00 | 8 per month | 0.68 | 0.14 | 3.88 | (2.07) | 26.25 | |
| 1HTA | Hyatt Hotels | 0.00 | 6 per month | 1.57 | 0.03 | 4.19 | (2.76) | 11.71 | |
| AQA | Advanced Medical Solutions | 0.20 | 6 per month | 1.47 | (0.0008) | 3.31 | (3.25) | 12.38 |
Other Forecasting Options for DFS Furniture
For every potential investor in DFS, whether a beginner or expert, DFS Furniture's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. DFS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in DFS. Basic forecasting techniques help filter out the noise by identifying DFS Furniture's price trends.DFS Furniture 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 DFS Furniture stock to make a market-neutral strategy. Peer analysis of DFS Furniture could also be used in its relative valuation, which is a method of valuing DFS Furniture by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
DFS Furniture Market Strength Events
Market strength indicators help investors to evaluate how DFS Furniture stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading DFS Furniture shares will generate the highest return on investment. By undertsting and applying DFS Furniture stock market strength indicators, traders can identify DFS Furniture PLC entry and exit signals to maximize returns.
DFS Furniture Risk Indicators
The analysis of DFS Furniture's 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 DFS Furniture's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dfs 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 | 1.67 | |||
| Semi Deviation | 2.19 | |||
| Standard Deviation | 2.57 | |||
| Variance | 6.62 | |||
| Downside Variance | 10.04 | |||
| Semi Variance | 4.78 | |||
| Expected Short fall | (2.21) |
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.
Story Coverage note for DFS Furniture
The number of cover stories for DFS Furniture depends on current market conditions and DFS Furniture's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that DFS Furniture is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about DFS Furniture's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Additional Tools for DFS Stock Analysis
When running DFS Furniture's price analysis, check to measure DFS Furniture'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 DFS Furniture is operating at the current time. Most of DFS Furniture's value examination focuses on studying past and present price action to predict the probability of DFS Furniture's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DFS Furniture's price. Additionally, you may evaluate how the addition of DFS Furniture to your portfolios can decrease your overall portfolio volatility.