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Monthly Hotel Market Forecasts for Hotels in the United States and International






Monthly Hotel Forecast for United States markets are produced in real time by Hotel Insights to provide a consistent with the global economic climate view for the overall industry, its price-segments call 'scales', and the top destinations. Building on historical information, the hotel forecast focus predominantly on recent and future developments at the local, state, national and international levels. Designed to provide competitive advantage to hoteliers and executives in hotel-related business, each Monthly Hotel Forecast and accompanying analyses are conditional on a consistent set of continuously changing and/or expected to change policies and underlying economic and financial conditions around the world. Particularly, the forecast is significantly driven by fiscal and monetary policies in the destination's country, in other countries feeding the destination and/or in regional unions; additional global drivers include multi-country determined exchange rates, and oil and non-oil commodity prices.

Property Level Forecasts. Hotel Insights offer a unique, client-specific add-in to the Hotel Market Forecast, which features forecasts of performance analytics for client's individual property operating in the market. For first time, clients on a monthly basis could track not only the past and present but also the future of their property's performance relative to the market and take actions on possible policy changes to strengthen their competitive advantage

Many properly-used drivers minimize the risk of large forecast errors, common in conventional forecasting models, which use one driver like GDP to generate forecasts for hotel markets. Forecast errors from GDP-only-based models are sizable due to extensive and considerable GDP revisions and policy-driven GDP projections.

Hotel Insights' monthly multi-equation forecasting model integrates hundreds of mostly forward-looking influential monthly indicators comprised of key drivers such as energy prices and interest rates; industry-specific and geo-centric metrics such as travel intentions and foreign tourist demand by feeding country; domestic and international policies, and geopolitical events.
The methodology is based on the seminal works of Burns & Mitchell (1947), Sargent & Sims (1977), Stock & Watson (1989, 2004) in "Forecasting Using Many Predictors" and Bernanke & Boivin (2003) in "Monetary Policy in a Data Rich Environment."

The basis of Hotel Insights forecasting engine is to use any available relevant information which explains decision-making about the demand for and supply of hotel services. Each hotel market is rich in drivers data, related to geo areas (city, state, national, and international), behavior of economic agents seeking services (consumers, business, government), survey indicators (expectations, confidence, sentiment, intentions to spend on travel), and financial conditions.

The tree below provides navigation links of Monthly Hotel Forecast for the United States markets:
  • National (country-wide) Monthly Hotel Forecast
  • US Chain Scales Monthly Hotel Forecast
  • Top 25 Markets plus Las Vegas Monthly Hotel Forecast

 Asia & the Pacific Hotel Market ForecastsMiddle East & Africa Hotel Market ForecastsEurope Hotel Market ForecastsThe Americas Hotel Market ForecastsInternational Hotel Market ForecastsUS Top 25 Hotel Markets Forecasts Plus Las VegasUS Scales Hotel Market ForecastsUS National Hotel Market ForecastsUnited States Hotel Market ForecastsInternational Country wide Hotel Predictive Analytics Hip & HilInternational Hotel Predictive AnalyticsUS Top 25 Hotel Markets Hip & Hil Predictive AnalyticsHotel Predictive AnalyticsUS National Hip & Hil Predictive AnalyticsUnited States Hotel Predictive AnalyticsHotel Insights, Predictive Analytics,Hotel Market Forecasts for the United States and International Hotel Markets by e-forecasting





List of Top 25 US Hotel Markets & Las Vegas Predictive Analytics HIP & HIL List of Top 25 US Hotel Market & Las Vegas Forecasts
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