Gyldendal (Denmark) Price Prediction
| GYLD-B Stock | DKK 318.00 4.00 1.24% |
Oversold Vs Overbought
33
Oversold | Overbought |
Gyldendal AS stock price prediction is an act of determining the future value of Gyldendal shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of Gyldendal's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Gyldendal and does not consider all of the tangible or intangible factors available from Gyldendal's fundamental data. We analyze noise-free headlines and recent hype associated with Gyldendal AS, which may create opportunities for some arbitrage if properly timed.
It is a matter of debate whether stock price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Gyldendal based on different types of headlines from major news networks to social media. The Gyldendal stock price prediction module provides an analysis of price elasticity to changes in media outlook on Gyldendal over a specific investment horizon. Using Gyldendal hype-based prediction, you can estimate the value of Gyldendal AS from the perspective of Gyldendal response to recently generated media hype and the effects of current headlines on its competitors.
This module is based on analyzing investor sentiment around taking a position in Gyldendal. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in Gyldendal to buy its stock at a price that has no basis in reality. In that case, they are not buying Gyldendal because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Gyldendal after-hype prediction price | DKK 318.0 |
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.
Gyldendal |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gyldendal'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.
Gyldendal After-Hype Price Prediction Density Analysis
As far as predicting the price of Gyldendal 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 Gyldendal 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 Gyldendal, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Gyldendal Estimiated After-Hype Price Volatility
In the context of predicting Gyldendal's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Gyldendal's historical news coverage. Gyldendal's after-hype downside and upside margins for the prediction period are 316.43 and 319.57, respectively. We have considered Gyldendal'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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Gyldendal is very steady at this time. Analysis and calculation of next after-hype price of Gyldendal AS is based on 3 months time horizon.
Gyldendal Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Gyldendal is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Gyldendal 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 Gyldendal, 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 |
0.15 | 1.57 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
318.00 | 318.00 | 0.00 |
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Gyldendal Hype Timeline
Gyldendal AS is currently traded for 318.00on Copenhagen Exchange of Denmark. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Gyldendal is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is currently at -0.15%. %. The volatility of related hype on Gyldendal is about 0.0%, with the expected price after the next announcement by competition of 318.00. About 13.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 1.05. Some equities with similar Price to Book (P/B) outperform the market in the long run. Gyldendal AS recorded earning per share (EPS) of 33.99. The entity last dividend was issued on the 21st of April 2021. The firm had 5:1 split on the 19th of August 1998. Assuming the 90 days trading horizon the next estimated press release will be in a few days. Check out Gyldendal Basic Forecasting Models to cross-verify your projections.Gyldendal Related Hype Analysis
Having access to credible news sources related to Gyldendal's direct competition is more important than ever and may enhance your ability to predict Gyldendal's future price movements. Getting to know how Gyldendal'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 Gyldendal may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GYLD-B | Gyldendal AS | 0.00 | 0 per month | 0.00 | (0.17) | 3.01 | (2.86) | 7.13 | |
| DAB | Danske Andelskassers Bank | 0.00 | 0 per month | 0.69 | 0.07 | 2.24 | (1.37) | 4.12 | |
| LASP | Laan Spar Bank | 0.00 | 0 per month | 0.98 | 0 | 2.19 | (2.14) | 6.62 | |
| KRE | Kreditbanken AS | 0.00 | 0 per month | 1.19 | 0.08 | 2.11 | (2.41) | 6.42 | |
| FLUG-B | Flgger group AS | 0.00 | 0 per month | 0.00 | (0.11) | 2.29 | (2.34) | 7.63 |
Gyldendal Additional Predictive Modules
Most predictive techniques to examine Gyldendal price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Gyldendal using various technical indicators. When you analyze Gyldendal 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 |
About Gyldendal Predictive Indicators
The successful prediction of Gyldendal stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Gyldendal AS, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Gyldendal based on analysis of Gyldendal hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Gyldendal's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Gyldendal's related companies. Story Coverage note for Gyldendal
The number of cover stories for Gyldendal depends on current market conditions and Gyldendal's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Gyldendal 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 Gyldendal's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Gyldendal Short Properties
Gyldendal's future price predictability will typically decrease when Gyldendal's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Gyldendal AS often depends not only on the future outlook of the potential Gyldendal's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Gyldendal's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1 M |
Check out Gyldendal Basic Forecasting Models to cross-verify your projections. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Complementary Tools for Gyldendal Stock analysis
When running Gyldendal's price analysis, check to measure Gyldendal'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 Gyldendal is operating at the current time. Most of Gyldendal's value examination focuses on studying past and present price action to predict the probability of Gyldendal's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gyldendal's price. Additionally, you may evaluate how the addition of Gyldendal to your portfolios can decrease your overall portfolio volatility.
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