Host Hotels (Germany) Price Prediction
| HMT Stock | EUR 16.70 0.80 4.57% |
Oversold Vs Overbought
61
Oversold | Overbought |
Using Host Hotels hype-based prediction, you can estimate the value of Host Hotels Resorts from the perspective of Host Hotels response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Host Hotels to buy its stock at a price that has no basis in reality. In that case, they are not buying Host 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.
Host Hotels after-hype prediction price | EUR 16.7 |
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.
Host |
Host Hotels After-Hype Price Prediction Density Analysis
As far as predicting the price of Host Hotels 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 Host Hotels 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 Host Hotels, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Host Hotels Estimiated After-Hype Price Volatility
In the context of predicting Host Hotels' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Host Hotels' historical news coverage. Host Hotels' after-hype downside and upside margins for the prediction period are 14.96 and 18.44, respectively. We have considered Host Hotels' 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
Host Hotels is very steady at this time. Analysis and calculation of next after-hype price of Host Hotels Resorts is based on 3 months time horizon.
Host Hotels Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Host Hotels is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Host Hotels 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 Host Hotels, 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 |
0.04 | 1.74 | 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 | ||
16.70 | 16.70 | 0.00 |
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Host Hotels Hype Timeline
Host Hotels Resorts is currently traded for 16.70on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Host 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 0.04%. %. The volatility of related hype on Host Hotels is about 0.0%, with the expected price after the next announcement by competition of 16.70. About 99.0% of the company shares are owned by institutional investors. The company has price-to-book (P/B) ratio of 1.93. Some equities with similar Price to Book (P/B) outperform the market in the long run. Host Hotels Resorts has Price/Earnings To Growth (PEG) ratio of 0.56. The entity last dividend was issued on the 30th of March 2023. Assuming the 90 days horizon the next estimated press release will be in a few days. Check out Host Hotels Basic Forecasting Models to cross-verify your projections.Host Hotels Related Hype Analysis
Having access to credible news sources related to Host Hotels' direct competition is more important than ever and may enhance your ability to predict Host Hotels' future price movements. Getting to know how Host Hotels' 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 Host Hotels may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HMT | Host Hotels Resorts | 0.00 | 0 per month | 1.11 | 0.1 | 2.47 | (1.87) | 11.81 | |
| UF2 | Sunstone Hotel Investors | 0.00 | 0 per month | 1.01 | 0.17 | 3.82 | (2.54) | 10.78 | |
| 0XHR | Xenia Hotels Resorts | 0.00 | 0 per month | 1.25 | 0.14 | 4.93 | (2.22) | 9.49 | |
| SDP | Summit Hotel Properties | 0.00 | 0 per month | 1.44 | 0.07 | 4.74 | (2.62) | 12.05 | |
| AHD | ASHFORD HOSPITTRUST | 0.00 | 0 per month | 0.00 | (0.21) | 3.17 | (5.66) | 20.47 |
Host Hotels Additional Predictive Modules
Most predictive techniques to examine Host price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Host using various technical indicators. When you analyze Host 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 | ||
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| Math Transform | ||
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| Overlap Studies | ||
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| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Host Hotels Predictive Indicators
The successful prediction of Host Hotels 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 Host Hotels Resorts, 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 Host Hotels based on analysis of Host Hotels hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Host Hotels's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Host Hotels's related companies.
Story Coverage note for Host Hotels
The number of cover stories for Host Hotels depends on current market conditions and Host Hotels' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Host Hotels 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 Host Hotels' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Host Hotels Short Properties
Host Hotels' future price predictability will typically decrease when Host Hotels' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Host Hotels Resorts often depends not only on the future outlook of the potential Host Hotels' 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. Host Hotels' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 713.4 M |
Complementary Tools for Host Stock analysis
When running Host Hotels' price analysis, check to measure Host Hotels' 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 Host Hotels is operating at the current time. Most of Host Hotels' value examination focuses on studying past and present price action to predict the probability of Host Hotels' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Host Hotels' price. Additionally, you may evaluate how the addition of Host Hotels to your portfolios can decrease your overall portfolio volatility.
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