AIRBNB INC Stock Forecast - Triple Exponential Smoothing

6Z1 Stock  EUR 130.24  0.82  0.63%   
The Triple Exponential Smoothing forecasted value of AIRBNB INC DL 01 on the next trading day is expected to be 130.85 with a mean absolute deviation of 2.01 and the sum of the absolute errors of 118.32. AIRBNB Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of AIRBNB INC's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Triple exponential smoothing for AIRBNB INC - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When AIRBNB INC prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in AIRBNB INC price movement. However, neither of these exponential smoothing models address any seasonality of AIRBNB INC DL.

AIRBNB INC Triple Exponential Smoothing Price Forecast For the 5th of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of AIRBNB INC DL 01 on the next trading day is expected to be 130.85 with a mean absolute deviation of 2.01, mean absolute percentage error of 6.42, and the sum of the absolute errors of 118.32.
Please note that although there have been many attempts to predict AIRBNB Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that AIRBNB INC's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AIRBNB INC Stock Forecast Pattern

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AIRBNB INC Forecasted Value

In the context of forecasting AIRBNB INC'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. AIRBNB INC's downside and upside margins for the forecasting period are 128.79 and 132.91, respectively. We have considered AIRBNB INC'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.
Market Value
130.24
128.79
Downside
130.85
Expected Value
132.91
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of AIRBNB INC stock data series using in forecasting. Note that when a statistical model is used to represent AIRBNB INC 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.1872
MADMean absolute deviation2.0054
MAPEMean absolute percentage error0.0163
SAESum of the absolute errors118.3186
As with simple exponential smoothing, in triple exponential smoothing models past AIRBNB INC observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older AIRBNB INC DL 01 observations.

Predictive Modules for AIRBNB INC

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AIRBNB INC DL. 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.
Hype
Prediction
LowEstimatedHigh
127.36129.42131.48
Details
Intrinsic
Valuation
LowRealHigh
116.48146.80148.86
Details
Bollinger
Band Projection (param)
LowMiddleHigh
126.40129.29132.18
Details

Other Forecasting Options for AIRBNB INC

For every potential investor in AIRBNB, whether a beginner or expert, AIRBNB INC's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. AIRBNB Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in AIRBNB. Basic forecasting techniques help filter out the noise by identifying AIRBNB INC's price trends.

AIRBNB INC 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 AIRBNB INC stock to make a market-neutral strategy. Peer analysis of AIRBNB INC could also be used in its relative valuation, which is a method of valuing AIRBNB INC by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

AIRBNB INC DL Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of AIRBNB INC's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of AIRBNB INC's current price.

AIRBNB INC Market Strength Events

Market strength indicators help investors to evaluate how AIRBNB INC stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AIRBNB INC shares will generate the highest return on investment. By undertsting and applying AIRBNB INC stock market strength indicators, traders can identify AIRBNB INC DL 01 entry and exit signals to maximize returns.

AIRBNB INC Risk Indicators

The analysis of AIRBNB INC'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 AIRBNB INC's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting airbnb 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.
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.

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Other Information on Investing in AIRBNB Stock

AIRBNB INC financial ratios help investors to determine whether AIRBNB Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in AIRBNB with respect to the benefits of owning AIRBNB INC security.