Prediction of Hilton’s Future Cashflows

Junze Dai () and Xiao Han
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Junze Dai: University of Electronic Science and Technology of China, Glasgow School
Xiao Han: University of Sydney, Business School

A chapter in Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), 2022, pp 601-607 from Springer

Abstract: Abstract As the world was hit by COVID-19 in the last few years, the global hotel industry has also been greatly affected. As one of the biggest hotel groups in the world, Hilton faced tremendous cash flow pressure in 2020 and 2021. To forecast Hilton's cash flow performance over the next few years, we apply the linear regression method to analyze and forecast the asset and liability situation of Hilton in this paper. Based on the linear regression model, we select several key factors, which could be the major factor in the movement of assets and liability. By analyzing the historical data of the key factors and assets and liability, we obtain the regression equations as well as the forecasted results. Furthermore, several extreme cases with a small probability of occurrence will affect the financial performance of Hilton enormously, and some suggestions for Hilton's development are discussed qualitatively.

Keywords: Hilton; hospitality; COVID-19; pandemic; linear regression (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-036-7_89

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DOI: 10.2991/978-94-6463-036-7_89

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