Airbnb (Brazil) Market Value
| AIRB34 Stock | BRL 40.89 0.08 0.20% |
| Symbol | Airbnb |
Airbnb 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Airbnb's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Airbnb.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Airbnb on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Airbnb Inc or generate 0.0% return on investment in Airbnb over 30 days. Airbnb is related to or competes with Agilent Technologies, Fidelity National, BIONTECH, Align Technology, T Mobile, Spotify Technology, and Monster Beverage. Airbnb, Inc., together with its subsidiaries, operates a platform for stays and experiences to guests worldwide More
Airbnb Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Airbnb's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Airbnb Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.82 | |||
| Information Ratio | 0.1015 | |||
| Maximum Drawdown | 20.18 | |||
| Value At Risk | (2.23) | |||
| Potential Upside | 4.17 |
Airbnb Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Airbnb's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Airbnb's standard deviation. In reality, there are many statistical measures that can use Airbnb historical prices to predict the future Airbnb's volatility.| Risk Adjusted Performance | 0.1213 | |||
| Jensen Alpha | 0.2658 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0983 | |||
| Treynor Ratio | 0.3635 |
Airbnb Inc Backtested Returns
Airbnb appears to be very steady, given 3 months investment horizon. Airbnb Inc secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the company had a 0.14% return per unit of risk over the last 3 months. We have found thirty technical indicators for Airbnb Inc, which you can use to evaluate the volatility of the firm. Please makes use of Airbnb's Risk Adjusted Performance of 0.1213, downside deviation of 2.82, and Mean Deviation of 1.77 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Airbnb holds a performance score of 10. The firm shows a Beta (market volatility) of 1.09, which signifies a somewhat significant risk relative to the market. Airbnb returns are very sensitive to returns on the market. As the market goes up or down, Airbnb is expected to follow. Please check Airbnb's jensen alpha, sortino ratio, maximum drawdown, as well as the relationship between the total risk alpha and treynor ratio , to make a quick decision on whether Airbnb's price patterns will revert.
Auto-correlation | 0.33 |
Below average predictability
Airbnb Inc has below average predictability. Overlapping area represents the amount of predictability between Airbnb time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Airbnb Inc price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current Airbnb price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 1.41 |
Airbnb Inc lagged returns against current returns
Autocorrelation, which is Airbnb stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Airbnb's stock expected returns. We can calculate the autocorrelation of Airbnb returns to help us make a trade decision. For example, suppose you find that Airbnb has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Airbnb regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Airbnb stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Airbnb stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Airbnb stock over time.
Current vs Lagged Prices |
| Timeline |
Airbnb Lagged Returns
When evaluating Airbnb's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Airbnb stock have on its future price. Airbnb autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Airbnb autocorrelation shows the relationship between Airbnb stock current value and its past values and can show if there is a momentum factor associated with investing in Airbnb Inc.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Information and Resources on Investing in Airbnb Stock
When determining whether Airbnb Inc offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Airbnb's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Airbnb Inc Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Airbnb Inc Stock:Check out Airbnb Correlation, Airbnb Volatility and Airbnb Alpha and Beta module to complement your research on Airbnb. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Airbnb technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.