Airbnb Inc Stock Price Prediction
| ABNB Stock | USD 137.34 4.08 3.06% |
Oversold Vs Overbought
53
Oversold | Overbought |
Quarterly Earnings Growth (0.68) | EPS Estimate Next Quarter 0.71 | EPS Estimate Current Year 3.9934 | EPS Estimate Next Year 4.4144 | Wall Street Target Price 137.3667 |
Using Airbnb hype-based prediction, you can estimate the value of Airbnb Inc from the perspective of Airbnb response to recently generated media hype and the effects of current headlines on its competitors.
Airbnb Inc Hype to Price Pattern
Investor biases related to Airbnb's public news can be used to forecast risks associated with an investment in Airbnb. The trend in average sentiment can be used to explain how an investor holding Airbnb can time the market purely based on public headlines and social activities around Airbnb Inc. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Airbnb's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Airbnb.
The fear of missing out, i.e., FOMO, can cause potential investors in Airbnb to buy its stock at a price that has no basis in reality. In that case, they are not buying Airbnb 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.
Airbnb after-hype prediction price | USD 137.24 |
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.
Airbnb |
Airbnb After-Hype Price Prediction Density Analysis
As far as predicting the price of Airbnb 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 Airbnb 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 Airbnb, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Airbnb Estimiated After-Hype Price Volatility
In the context of predicting Airbnb's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Airbnb's historical news coverage. Airbnb's after-hype downside and upside margins for the prediction period are 135.24 and 139.24, respectively. We have considered Airbnb'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
Airbnb is very steady at this time. Analysis and calculation of next after-hype price of Airbnb Inc is based on 3 months time horizon.
Airbnb Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Airbnb is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Airbnb 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 Airbnb, 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 |
0.27 | 2.02 | 0.10 | 0.25 | 7 Events / Month | 4 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
137.34 | 137.24 | 0.07 |
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Airbnb Hype Timeline
Airbnb Inc is presently traded for 137.34. The entity has historical hype elasticity of -0.1, and average elasticity to hype of competition of -0.25. Airbnb is estimated to decline in value after the next headline, with the price expected to drop to 137.24. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -0.07%, whereas the daily expected return is presently at 0.27%. The volatility of related hype on Airbnb is about 217.99%, with the expected price after the next announcement by competition of 137.09. About 80.0% of the company shares are held by institutions such as insurance companies. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next estimated press release will be in about 7 days. Check out Airbnb Basic Forecasting Models to cross-verify your projections.Airbnb Related Hype Analysis
Having access to credible news sources related to Airbnb's direct competition is more important than ever and may enhance your ability to predict Airbnb's future price movements. Getting to know how Airbnb'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 Airbnb may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| NCLH | Norwegian Cruise Line | 0.46 | 12 per month | 1.13 | 0.24 | 6.29 | (2.27) | 13.47 | |
| RCL | Royal Caribbean Cruises | 0.77 | 9 per month | 0.92 | 0.27 | 4.24 | (2.33) | 10.23 | |
| EXPE | Expedia Group | 0.23 | 7 per month | 0.91 | 0.23 | 3.76 | (1.76) | 7.76 | |
| BKNG | Booking Holdings | (6.09) | 10 per month | 0.46 | 0.28 | 2.47 | (1.48) | 6.36 | |
| TRIP | TripAdvisor | (0.67) | 6 per month | 3.18 | (0.05) | 3.12 | (4.39) | 16.78 | |
| CCL | Carnival | (0.26) | 10 per month | 0.95 | 0.26 | 6.63 | (2.41) | 11.19 |
Airbnb Additional Predictive Modules
Most predictive techniques to examine Airbnb price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Airbnb using various technical indicators. When you analyze Airbnb 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 Airbnb Predictive Indicators
The successful prediction of Airbnb 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 Airbnb Inc, 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 Airbnb based on analysis of Airbnb hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Airbnb's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Airbnb's related companies. | 2023 | 2024 (projected) | Payables Turnover | 12.08 | 8.52 | Days Of Inventory On Hand | 1.0K | 917.5 |
Story Coverage note for Airbnb
The number of cover stories for Airbnb depends on current market conditions and Airbnb's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Airbnb 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 Airbnb'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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Latest Perspective From Macroaxis
Airbnb Short Properties
Airbnb's future price predictability will typically decrease when Airbnb's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Airbnb Inc often depends not only on the future outlook of the potential Airbnb'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. Airbnb's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 662 M | |
| Cash And Short Term Investments | 10.1 B |
Complementary Tools for Airbnb Stock analysis
When running Airbnb's price analysis, check to measure Airbnb'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 Airbnb is operating at the current time. Most of Airbnb's value examination focuses on studying past and present price action to predict the probability of Airbnb's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Airbnb's price. Additionally, you may evaluate how the addition of Airbnb to your portfolios can decrease your overall portfolio volatility.
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