Apostolos Ampountolas, Ph.D., CQF, FHEA, joined the Boston University School of Hospitality Administration faculty after many accomplished years of teaching, research, and working for international hotels and travel companies. He holds a Ph.D. in Management from the University of Exeter in the UK, a Certificate of Quantitative Finance from the CQF Institute, and a Diploma in Accounting.
Most recently, Apostolos was a visiting professor at the University of Zurich, Switzerland, in the Department of Business Administration, at the Mathematics for Business and Economics chair. Before joining Boston University, he was an Associate Professor at Cesar Ritz Colleges in Switzerland and an adjunct instructor at Washington State University, where he taught a variety of hospitality finance, accounting, analytics, asset management, and revenue management courses.
Throughout his career, Dr. Ampountolas has specialized in pricing optimization models and revenue performance, supporting European companies seeking to enhance their financial performance. Hence, he enjoyed a 20-year successful international career in the travel and hospitality industries, where he developed extensive expertise and provided consulting services to companies in the industry sector. Apostolos began his hospitality career as a tour operator for Atena Travel Ltd., a path that he followed to management roles at other tour operators, including Tui Hellas S.A., Plotin S.A. (Thomas Cook AG), Zeus S.A. (Thomas Cook AG), youtravel.com, and at the Kuoni Group as the Area Sourcing Manager Northern Europe for Kuoni Global Travel Services and the Head of Hotel & Destination Services Contracting Europe for Kuoni Destination Management.
Today, as an academic and researcher, he focuses on finance and data analytics, including pricing optimization and revenue management, risk management, forecasting model analyses, financial analysis of companies’ performance, volatility in investment markets, investment behavior, and high-dimensional big data analyses using machine learning techniques and consumer choice models. He frequently presents his research at international conferences like the International Symposium on Forecasting, the RevME-REMAPS conference, and the INFORMS Revenue Management and Pricing Section Conference.
Dr. Ampountolas is an active member of the International Institute of Forecasters (IIF), the Association of Accountants and Financial Professionals in Business (IMA), and the INFORMS Revenue Management and Pricing Section. He is also a founding member of the Higher Hospitality Academy of Switzerland and a consultant operator offering services to companies using hospitality-applied research for informational discernment that leads to real business growth.
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Recent Publications
- Ampountolas, A., Legg, M. (2025) A Comprehensive Approach to Enhancing Short-Term Hotel Cancellation Forecasts through Dynamic Machine Learning Models. Tourism Economics (TEU) https://doi.org/10.1177/13548166251318768
- Legg, M., Ampountolas, A., & Bandyopadhayay, A. (2025) Personality traits influence casino loyalty incentives. Journal of Marketing Analytics (JMRA) https://doi.org/10.1057/\\s41270-024-00369-0
- Ampountolas, A. (2024) Forecasting Orange Juice Futures: LSTM, ConvLSTM, and Traditional Models Across Trading Horizons. Journal of Risk and Financial Management (JRFM) 2024; 17(11), 475. https://doi.org/10.3390/jrfm17110475
- Ampountolas, A. (2024) Addressing complex seasonal patterns in hotel forecasting: A comparative study. Journal of Revenue Management and Pricing (JRMP) https://doi.org/10.1057/s41272-024-00494-6
- Ampountolas, A. (2024) Enhancing Forecasting Accuracy in Commodity and Financial Markets: Insights from GARCH and SVR Models. International Journal of Financial Studies. 2024; 12(3):59. https://doi.org/10.3390/ijfs12030059
- Ampountolas, A., Legg, M., Shaw, G. (2023) Real Estate Investment Trusts during market shocks: Impact and resilience. Tourism Economics Journal (TEU) https://doi.org/10.1177/13548166231219740
- Ampountolas, A. & Legg, M. (2023) Predicting daily hotel occupancy: A practical application for independent hotels. Journal of Revenue and Pricing Management (JRPM) https://doi.org/10.1057/s41272-023-00445-7
- Ampountolas, A. (2023) Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins. Forecasting 2023, 5(2), 472-486; https://doi.org/10.3390/\\forecast5020026 – Special issue: Forecasting Financial Time Series during Turbulent Times
- Ampountolas, A. (2023) The Effect of COVID-19 on Cryptocurrencies and the Stock Market Volatility: A Two-Stage DCC-EGARCH Model Analysis. Journal of Risk and Financial Management (JRFM) 2023; 16(1):25; https://doi.org/10.3390/\\jrfm16010025
- Legg, M. & Ampountolas, A. (2023) How music listening preferences play a role in casino showroom offers. Journal of Marketing Analytics (JRMA) https://doi.org/10.1057/s41270-023-00213-x
- Ampountolas, A., Menconi, G., & Shaw, G. (2023) Metaverse research propositions: Online intermediaries. Tourism Economics Journal (TEU) https://doi.org/10.1177/1354816623115}
- Ampountolas, A. (2022) Cryptocurrencies intraday high-frequency volatility spillover effects using Univariate and Multivariate GARCH Models. International Journal of Financial Studies (IJFM) 2022, 10(3), 51; https://doi.org/10.3390/ijfs10030051 – Special issue: Financial Econometrics and Machine Learning.
- Ampountolas, A., Nde, T., Date, P., & Constantinescu, C. (2021) Machine Learning approach for micro-credit scoring – Risks 2021, 9(3), 50; https://doi.org/10.3390/risks9030050 – Special issue: Interplay between Financial and Actuarial Mathematics.
- Ampountolas, A. (2021) Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models. Forecasting. 2021; 3(3):580-595; https://doi.org/10.3390/forecast3030037.
- Legg, M., Webb, T., & Ampountolas, A. (2021) Marketing to the next generation of casino patrons. Journal of Marketing Analytics https://doi.org/ 10.1057/s41270-021-00131-w.
- Legg, M., Ampountolas, A., & Hancer, M. (2021) Senior leadership succession and market share. An Econometric case study on Native American casinos. Tourism Economics (TEU) https://doi.org/10.1177/13548166211035579
- Ampountolas, A., & Legg, M. (2021). A Segmented Machine Learning Modeling Approach of Social Media for Predicting Occupancy Demand. International Journal of Contemporary Hospitality Management (IJCHM) https://doi.org/10.1108/IJCHM-06-2020-0611 – Special issue in Big Data.
- Ampountolas, A., & Chiffer, E. (2021). Will Blockchain shift Online Travel Agencies toward growth or to an end? Tourism Economics (TEU) https://doi.org/10.1177/1354816620985371
- Ampountolas, A. (2020) Postcrisis REIT performance using financial ratios: A Data Envelopment Analysis Approach Tourism Economics (TEU). https://journals.sagepub.com/doi/abs/10.1177/1354816620962664
- Ampountolas, A., Shaw, G., & James, S. (2020). Examining the relationships between market indicators and hotel pricing approaches. Tourism Economics (TEU). https://doi.org/10.1177/1354816620925225
- Dogru, T., Hanks, L., Ozdemir, O., Kizildag, M., Ampountolas, A. & Demirer, I. (2020). Does Airbnb have a homogenous impact? Examining Airbnb’s effect on hotels with different organizational structures. International Journal of Hospitality Management (IJHM) DOI: 10.1016/j.ijhm.2020.102451
- Saglam, Y. & Ampountolas, A. (2020). The effects of shocks on Turkish tourism demand: Evidence using panel unit root test. Tourism Economics (TEU) DOI: 10.1177/1354816619899831
- Ampountolas, A., & Legg, M. (2020) The King is Naked. Boston Hospitality Review (BHR) Spring 2020. Available at: https://www.bu.edu/bhr/2020/03/24/the-king-is-naked/
- Legg, M., & Ampountolas, A. (2020) The Coronavirus and the US Casino Market. Boston Hospitality Review (BHR) Spring 2020. Available at: https://www.bu.edu/bhr/2020/03/24/the-coronavirus-and-the-us-casino-market/
- Ampountolas, A., Shaw, G., & James, S. (2019). The role of social media as a distribution channel for promoting pricing strategies. Journal of Hospitality and Tourism Insights (JHTI). https://doi.org/10.1108/JHTI-07-2018-0040
- Ampountolas, A. (2018). Peer-to-Peer marketplaces: A study on consumer purchase behavior. Journal of Hospitality and Tourism Insights (JHTI). https://doi.org/10.1108/JHTI-05-2018-0028
- Ampountolas, A. (2018). Forecasting hotel demand uncertainty using time series Bayesian VAR models. Tourism Economics (TEU) 1-23. https://doi.org/10.1177/1354816618801741
- Ampountolas, A., Shaw, G., & James, S. (2018). Active learning to improve self-confidence and decision-making skills through the use of hotel simulation, Journal of Hospitality and Tourism Education (JHTE) 018, VOL. 00, 1-14. https://doi.org/10.1080/10963758.2018.1487786
- Ma, Z., Chen, M.H., & Ampountolas, A. (2017). The Effect of Students’ Perceptions and Learning Approaches on the Quality of Hospitality Financial Management Education, Journal of Hospitality and Tourism Education (JHTE) 28(4), 169-177. https://doi.org/10.1080/10963758.2016.1226848
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Courses
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SHA HF222 |
Revenue Management |
SHA HF491 |
Directed Student Hospitality |
SHA HF790 |
Independent Study Projects |
SHA HF792 |
Independent Study Projects |
SHA HF802 |
Faculty Directed Research |
SHA HF899 |
MSHM Thesis |