HYATT HOTELS Stock Forecast - Naive Prediction

1HTA Stock   150.45  5.00  3.22%   
The Naive Prediction forecasted value of HYATT HOTELS A on the next trading day is expected to be 150.83 with a mean absolute deviation of 2.52 and the sum of the absolute errors of 153.71. HYATT Stock Forecast is based on your current time horizon.
  
A naive forecasting model for HYATT HOTELS is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of HYATT HOTELS A value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

HYATT HOTELS Naive Prediction Price Forecast For the 12th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of HYATT HOTELS A on the next trading day is expected to be 150.83 with a mean absolute deviation of 2.52, mean absolute percentage error of 14.16, and the sum of the absolute errors of 153.71.
Please note that although there have been many attempts to predict HYATT 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 HYATT HOTELS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

HYATT HOTELS Stock Forecast Pattern

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HYATT HOTELS Forecasted Value

In the context of forecasting HYATT HOTELS'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. HYATT HOTELS's downside and upside margins for the forecasting period are 148.86 and 152.80, respectively. We have considered HYATT HOTELS'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
150.45
148.86
Downside
150.83
Expected Value
152.80
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of HYATT HOTELS stock data series using in forecasting. Note that when a statistical model is used to represent HYATT HOTELS 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 Criteria120.7611
BiasArithmetic mean of the errors None
MADMean absolute deviation2.5199
MAPEMean absolute percentage error0.018
SAESum of the absolute errors153.7116
This model is not at all useful as a medium-long range forecasting tool of HYATT HOTELS A. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict HYATT HOTELS. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for HYATT HOTELS

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as HYATT HOTELS A. 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
148.50150.45152.40
Details
Intrinsic
Valuation
LowRealHigh
144.74146.69165.50
Details
Bollinger
Band Projection (param)
LowMiddleHigh
141.79148.58155.38
Details

Other Forecasting Options for HYATT HOTELS

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

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

HYATT HOTELS A 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 HYATT HOTELS'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 HYATT HOTELS's current price.

HYATT HOTELS Market Strength Events

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

HYATT HOTELS Risk Indicators

The analysis of HYATT HOTELS'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 HYATT HOTELS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hyatt 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.

Thematic Opportunities

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Additional Tools for HYATT Stock Analysis

When running HYATT HOTELS's price analysis, check to measure HYATT HOTELS'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 HYATT HOTELS is operating at the current time. Most of HYATT HOTELS's value examination focuses on studying past and present price action to predict the probability of HYATT HOTELS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move HYATT HOTELS's price. Additionally, you may evaluate how the addition of HYATT HOTELS to your portfolios can decrease your overall portfolio volatility.