Apostolos Ampountolas

[New Publication] Apostolos Ampountolas Examines How Markets React to ESG Greenwashing Crackdowns

Apostolos Ampountolas, Associate Professor of Hospitality Finance at Boston University's School of Hospitality Administration, has published a new paper, "The Market Impact of Greenwashing Crackdowns: Evidence from Environmental, Social, and Governance (ESG) Exchange-Traded Funds (ETFs)," in the Journal of Behavioral and Experimental Finance. The study, co-authored with Yagmur Saglam of... More

BU SHA Research Spotlight: New Study Identifies Carbon Price Threshold for Renewable Energy Growth

Apostolos Ampountolas, Associate Professor at Boston University School of Hospitality Administration, and Yagmur Saglam have published new research in Research in International Business and Finance examining how carbon pricing and green finance work together to accelerate renewable energy adoption across the European Union. Analyzing 24 years of EU-27 data (2000–2023), the... More

[New Publication] Understanding Lodging REIT Vulnerability Through Event Study Analysis

Apostolos Ampountolas, Ph.D., has published "Market Volatility and Lodging REIT Performance: An Event Study Analysis” in Tourism Analysis. The study examines how the COVID-19 pandemic affected 18 publicly traded lodging REITs using an event study approach and the Fama–French five-factor model. Results show significant negative cumulative abnormal returns following the World... More

[New Publication] Airbnb’s IPO Impact on Hospitality Stocks

Apostolos Ampountolas, Ph.D., has published a new article in the International Journal of Hospitality Management titled “Disruption in hospitality: Spillover effects of Airbnb’s IPO on hotel and casino stocks.” The study investigates how Airbnb’s initial public offering influenced the stock performance of traditional hospitality firms. Using a Structural Vector Auto-Regression... More

Real estate investment trusts during market shocks: Impact and resilience

Dr. Apostolos Ampountolas, SHA Assistant Professor of Hospitality Finance, recently published an article in the Tourism Economics Journal that examined five real estate investment trusts (REITs) market indices’ responses to market shock from the initial COVID-19 pandemic announcement using an event study design. This study advances our understanding of pandemic-related market... More

A Segmented Machine Learning Modeling Approach of Social Media for Predicting Occupancy Demand. International Journal of Contemporary Hospitality Management. Photo by Rhema Kallianpur on Unsplash

A Segmented Machine Learning Modeling Approach of Social Media for Predicting Occupancy Demand. International Journal of Contemporary Hospitality Management

By: APOSTOLOS AMPOUNTOLAS, Ph.D. Abstract Purpose This study aims to predict hotel demand through text analysis by investigating keyword series to increase demand predictions’ precision. To do so, this paper presents a framework for modeling hotel demand that incorporates machine learning techniques. Design/methodology/approach The empirical forecasting is conducted by introducing a segmented machine learning approach... More

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Will Blockchain shift Online Travel Agencies toward growth or to an end? Tourism Economics. Photo by NASA on Unsplash

Will Blockchain shift Online Travel Agencies toward growth or to an end? Tourism Economics

By: APOSTOLOS AMPOUNTOLAS, Ph.D. Abstract The hospitality industry is one of the fastest-growing sectors globally. With the emergence of different distribution platforms, customers can obtain real-time price changes, availability, and promotions. Looking to the future, traditional online travel agencies will have to undergo a utility shift in order to adapt to new... More

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Postcrisis REIT performance using financial ratios: A Data Envelopment Analysis Approach Tourism Economics. Photo by Jason Dent on Unsplash

Postcrisis REIT performance using financial ratios: A Data Envelopment Analysis Approach Tourism Economics

By: APOSTOLOS AMPOUNTOLAS, Ph.D. Abstract This study examines the performance of public lodging real estate investment trusts (REITs) following the financial crisis period from 2013 to 2017. We employed data envelopment analysis, a nonparametric technique based on linear programming, to measure performance. Determinants of efficiency were assessed by a set of financial... More

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Active Learning to Improve Self-Confidence and Decision-Making Skills Through the Use of Hotel Simulation Photo by Canva

Active Learning to Improve Self-Confidence and Decision-Making Skills Through the Use of Hotel Simulation

By: APOSTOLOS AMPOUNTOLAS, Ph.D. ABSTRACT This study evaluated the use of hotel simulation learning and how it promotes users’ confidence as a decision-making tool. Given the challenges of preparing students for the service industry, it enables them to make hypothetical decisions based on real-life scenarios. The perceived learning experience can enhance students’... More

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Examining the relationships between market indicators and hotel pricing approaches Photo by Canva

Examining the relationships between market indicators and hotel pricing approaches

By: APOSTOLOS AMPOUNTOLAS, Ph.D. Abstract Hotels are employing revenue management (RM) to improve profitability by efficiently managing the effects of capacity, as well as the effects of performance factors to model consumer behavior. This empirical paper discusses the extent and use of different pricing approaches and their success in this multichannel environment. More

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