Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models
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- Badri Toppur & T. C. Thomas, 2023. "Forecasting Commercial Vehicle Production Using Quantitative Techniques," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 17(1), March.
- Apostolos Ampountolas, 2023. "The Effect of COVID-19 on Cryptocurrencies and the Stock Market Volatility -- A Two-Stage DCC-EGARCH Model Analysis," Papers 2307.09137, arXiv.org.
- Vyom Shah & Nishil Patel & Dhruvin Shah & Debabrata Swain & Manorama Mohanty & Biswaranjan Acharya & Vassilis C. Gerogiannis & Andreas Kanavos, 2024. "Forecasting Maximum Temperature Trends with SARIMAX: A Case Study from Ahmedabad, India," Sustainability, MDPI, vol. 16(16), pages 1-21, August.
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Keywords
daily roomnights demand prediction; GARCH models; GJR-GARCH; SARIMAX; deep learning; ANN-MLP; time series analysis; neural networks forecasting; volatility forecast; hospitality; tourism;All these keywords.
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