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Valuing Hotel Investments Through Effective Forecasting

Course ID: SHA563
Produce accurate forecasts of the real estate revenues and expenses needed to support hotel operations; perform market studies to quantify demand.

Description

Hotel investment opportunities cannot be properly evaluated without accurate forecasts of the revenues and expenses the property is expected to produce. This course builds expertise in producing accurate forecasts of occupancy, average rates, cash flows and real estate value needed to support hotel investment and lending decisions.

Participants will learn to accurately forecast hotel occupancies both for new properties and for existing properties facing significant new competition. They will forecast daily occupancy rates using a variety of contemporary techniques and tools, forecast hotel cash flows respecting the fixed and variable revenue and cost structure of a hotel. Participants will estimate the value of individual hotels, taking into account the impact of new properties on existing properties. Given that forecasts are only as accurate as the starting assumptions, participants learn how to develop and gather data to support all of these forecasts.

Who Should Take This Course?

This course is designed for:

• Managers and professionals in the hospitality industry with financial or operational responsibility for real estate, investments, or management contracts
• General managers, asset manager and others with asset management responsibilities
• Business development professionals with branded operators who have professional interaction with owners
• Lenders, investors, real estate professionals, and developers who seek entrance into the hospitality real estate market

Certificate Information

This course can be applied toward the following certificate:
 

• Hotel Real Estate Investments and Asset Management

Course Format

All eCornell courses are delivered online and are self-paced. An eCornell instructor leads the online discussions, grades any course projects, and is available to answer specific questions about the course content.

This course contains the following modules:

• Forecasting Hotel Occupancy
• Quantifying Existing Demand in the Primary Market Area
• Quantifying Latent Demand and Evaluating the Competitive Market
• Finishing the Market Analysis
• Forecasting Revenues and Expenses
• Forecasting Average Daily Rates (ADR)
• The Underlying Theory of Forecasting
• Implementation of the Fixed and Variable Component Approach
• Valuation
• Income Capitalization Approach
• Case Study: Valuation of a New Property

Benefits to the Learner

Participants who complete this course will be able to:

• Perform a market study for a particular property
• Forecast occupancy and average daily rates
• Produce accurate forecasts of income and expenses
• Use the income approach to produce an estimate of market value
• Produce defensible and supportable estimates using the tools developed in this course

Authoring Faculty

Jan A. deRoos, Ph.D., Associate Professor

Sponsoring School

Cornell University's School of Hotel Administration

Total Learning Time

Approximately six hours over a period of two weeks.

Enrollment

Price: $599.00
To register, click 'Add to Cart' at right, or contact an Enrollment Counselor at info@ecornell.com or 1-866-eCornell (+1-607-330-3200 from outside the United States).

Certificate programs are eligible for eCornell Payment Plans. Discounts are available for military personnel, veterans, and Cornell University Alumni. eCornell programs are not eligible for financial aid or federal Pell Grants. Contact an enrollment counselor for more information. November 25, 2009
January 20, 2010
March 3, 2010

Click 'Add to Cart' to see available dates beyond March 3, 2010.

You May Be Interested In...

Students who purchased this course also purchased:
 

• Valuing Hotel Intellectual Property and Structuring the Capital Stack
• Achieving Hotel Asset Management Objectives
• Developing an Asset Management Strategy

Technical Requirements

With all eCornell courses, access is easy. Participants only need a computer and an Internet connection. To view specific technology requirements, visit our Technology Requirements page.

 
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