Hyatt Hotels Stock Forecast - Polynomial Regression

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H -- USA Stock  

Fiscal Quarter End: 30th of June 2020  

Hyatt Hotels Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Hyatt Hotels historical stock prices and determine the direction of Hyatt Hotels future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Hyatt Hotels historical fundamentals such as revenue growth or operating cash flow patterns. Although Hyatt Hotels naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Hyatt Hotels systematic risk associated with finding meaningful patterns of Hyatt Hotels fundamentals over time. Please check Historical Fundamental Analysis of Hyatt Hotels to cross-verify your projections.

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Hyatt Hotels Asset Turnover is most likely to slightly increase in the upcoming years. The last year's value of Asset Turnover was reported at 0.61. The current Weighted Average Shares Diluted is estimated to increase to about 139.8 M, while Weighted Average Shares is estimated to decrease to roughly 36.6 M.
Hyatt Hotels polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Hyatt Hotels as well as the accuracy indicators are determined from the period prices.

Hyatt Hotels Polynomial Regression Price Forecast For the 6th of June

Given 30 days horizon, the forecasted value of Hyatt Hotels on the next trading day is expected to be  58.94  with a mean absolute deviation of  3.43 , mean absolute percentage error of  20.92 , and the sum of the absolute errors of  209.12 
 58.94 

Hyatt Hotels Stock Forecast Pattern

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Hyatt Hotels Forecasted Value

Market Value
63.49
5th of June 2020
58.94
Expected Value
65.31
Upside

Model Predictive Factors

AICAkaike Information Criteria121.1514
BiasArithmetic mean of the errors None
MADMean absolute deviation3.4282
MAPEMean absolute percentage error0.0698
SAESum of the absolute errors209.1205
A single variable polynomial regression model attempts to put a curve through the Hyatt Hotels historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

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. 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.
Earnings
Estimates (8)
LowProjected EPSHigh
-3.77-3-2.39
Details
Hype
Prediction
LowEstimated ValueHigh
56.3762.8169.25
Details
Intrinsic
Valuation
LowReal ValueHigh
44.5951.0369.91
Details
Analysts
Consensus (13)
LowTarget PriceHigh
46.0054.5072.00
Details

Other Forecasting Options for Hyatt Hotels

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Hyatt Hotels Risk Indicators

Current Sentiment - H

Hyatt Hotels Investor Sentiment

More than half of Macroaxis users are currently bullish on Hyatt Hotels. What is your judgment towards investing in Hyatt Hotels? Are you bullish or bearish?
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98% Bullish
2% Bearish
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Please check Historical Fundamental Analysis of Hyatt Hotels to cross-verify your projections. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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