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Apostolos Ampountolas

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First Name:Apostolos
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Last Name:Ampountolas
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RePEc Short-ID:pam312
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https://www.bu.edu/hospitality/profile/apostolos-ampountolas/
Terminal Degree: Business School; University of Exeter (from RePEc Genealogy)

Affiliation

Boston University School of Hospitality Administration

https://www.bu.edu/hospitality/
USA, Boston
928 Commonwealth Avenue Boston, MA, 02215 USA

Research output

as
Jump to: Working papers Articles

Working papers

  1. Apostolos Ampountolas, 2023. "Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models Evidence from European Financial Markets and Bitcoins," Papers 2307.08853, arXiv.org.
  2. 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.

Articles

  1. Ampountolas, Apostolos & Saglam, Yagmur, 2026. "Green finance transmission mechanisms and renewable energy deployment: Threshold effects in EU carbon markets," Research in International Business and Finance, Elsevier, vol. 89(C).
  2. Apostolos Ampountolas & Mark Legg, 2026. "A comprehensive approach to enhancing short-term hotel cancellation forecasts through dynamic machine learning models," Tourism Economics, , vol. 32(2), pages 321-341, March.
  3. Apostolos Ampountolas, 2026. "Resilience and risk: Financial performance of lodging REITs and major financial indices to market crises," Tourism Economics, , vol. 32(3), pages 653-674, May.
  4. Lo Mascolo, Giuseppina & Ampountolas, Apostolos & Chiodi, Marcello & Mocciaro Li Destri, Arabella & Levanti, Gabriella, 2026. "Climate-induced tourism breaks: Segmented-GAM analysis," Annals of Tourism Research, Elsevier, vol. 118(C).
  5. Mark Legg & Apostolos Ampountolas & Asit Bandyopadhayay, 2026. "How personality traits influence perceptions of casino loyalty incentives," Journal of Marketing Analytics, Palgrave Macmillan, vol. 14(2), pages 517-534, June.
  6. Ampountolas, Apostolos & Saglam, Yagmur, 2026. "The market impact of greenwashing crackdowns: Evidence from ESG exchange-traded funds," Journal of Behavioral and Experimental Finance, Elsevier, vol. 51(C).
  7. Apostolos Ampountolas & Jinyi Li, 2026. "Blockchain and the metaverse in tourism: A conceptual framework for decentralized OTAs," Tourism Economics, , vol. 32(6), pages 1311-1334, September.
  8. Ampountolas, Apostolos, 2025. "Election-induced volatility and cross-asset spillovers: The impact of political uncertainty on cryptocurrencies, stocks, and oil," Research in International Business and Finance, Elsevier, vol. 80(C).
  9. Ampountolas, Apostolos, 2025. "Political uncertainty and market regimes: Clustering evidence from the 2024 U.S. election cycle," Finance Research Letters, Elsevier, vol. 86(PB).
  10. Apostolos Ampountolas, 2025. "Predicting hotel booking cancellations: a comprehensive machine learning approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(6), pages 539-550, December.
  11. Apostolos Ampountolas, 2025. "Addressing complex seasonal patterns in hotel forecasting: a comparative study," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(2), pages 143-152, April.
  12. Apostolos Ampountolas & Mark Legg, 2024. "Predicting daily hotel occupancy: a practical application for independent hotels," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(3), pages 197-205, June.
  13. Mark Legg & Apostolos Ampountolas, 2024. "How music listening preferences play a role in casino showroom offers," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(3), pages 611-623, September.
  14. Apostolos Ampountolas & Mark Legg & Gareth Shaw, 2024. "Real estate investment trusts during market shocks: Impact and resilience," Tourism Economics, , vol. 30(6), pages 1557-1579, September.
  15. Apostolos Ampountolas, 2024. "Enhancing Forecasting Accuracy in Commodity and Financial Markets: Insights from GARCH and SVR Models," IJFS, MDPI, vol. 12(3), pages 1-20, June.
  16. Apostolos Ampountolas & Giuseppina Menconi & Gareth Shaw, 2024. "Metaverse research propositions: Online intermediaries," Tourism Economics, , vol. 30(1), pages 255-261, February.
  17. Apostolos Ampountolas, 2024. "Forecasting Orange Juice Futures: LSTM, ConvLSTM, and Traditional Models Across Trading Horizons," JRFM, MDPI, vol. 17(11), pages 1-18, October.
  18. Apostolos Ampountolas, 2023. "Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins," Forecasting, MDPI, vol. 5(2), pages 1-15, June.
  19. Apostolos Ampountolas, 2023. "The Effect of COVID-19 on Cryptocurrencies and the Stock Market Volatility: A Two-Stage DCC-EGARCH Model Analysis," JRFM, MDPI, vol. 16(1), pages 1-17, January.
  20. Apostolos Ampountolas, 2023. "A review of: Revenue Management in the Lodging Industry Origins to the Last Frontier, by Ben Vinod, Springer Management for Professionals, p. 412, ISBN 978-3-031-14301-4 ISBN 978-3-031-14302-1 (eBook)," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(5), pages 427-428, October.
  21. Apostolos Ampountolas & Elizabeth Chiffer, 2022. "Will blockchain shift Online Travel Agencies toward growth or to an end?," Tourism Economics, , vol. 28(5), pages 1342-1347, August.
  22. Mark Legg & Timothy Webb & Apostolos Ampountolas, 2022. "Marketing to the next generation of casino patrons," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 89-101, March.
  23. Apostolos Ampountolas, 2022. "Cryptocurrencies Intraday High-Frequency Volatility Spillover Effects Using Univariate and Multivariate GARCH Models," IJFS, MDPI, vol. 10(3), pages 1-22, July.
  24. Mark Legg & Apostolos Ampountolas & Murat Hancer, 2022. "Senior leadership succession and market share: An econometric case study on Native American casinos," Tourism Economics, , vol. 28(8), pages 2176-2196, December.
  25. Apostolos Ampountolas, 2022. "Postcrisis REIT performance using financial ratios: A DEA approach," Tourism Economics, , vol. 28(2), pages 371-393, March.
  26. Yagmur Saglam & Apostolos Ampountolas, 2021. "The effects of shocks on Turkish tourism demand: Evidence using panel unit root test," Tourism Economics, , vol. 27(4), pages 859-866, June.
  27. Apostolos Ampountolas & Titus Nyarko Nde & Paresh Date & Corina Constantinescu, 2021. "A Machine Learning Approach for Micro-Credit Scoring," Risks, MDPI, vol. 9(3), pages 1-20, March.
  28. Apostolos Ampountolas, 2021. "Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models," Forecasting, MDPI, vol. 3(3), pages 1-16, August.
  29. Apostolos Ampountolas & Gareth Shaw & Simon James, 2021. "Examining the relationships between market indicators and hotel pricing approaches," Tourism Economics, , vol. 27(8), pages 1591-1614, December.
  30. Apostolos Ampountolas, 2019. "Forecasting hotel demand uncertainty using time series Bayesian VAR models," Tourism Economics, , vol. 25(5), pages 734-756, August.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Apostolos Ampountolas, 2023. "Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models Evidence from European Financial Markets and Bitcoins," Papers 2307.08853, arXiv.org.

    Cited by:

    1. Geng, Ru & Zhang, Hong-Kun & Gao, Yixian & Yuan, Gangnan, 2025. "Decoding global economic dynamic: A graph-based examination of contemporary ETF markets," Chaos, Solitons & Fractals, Elsevier, vol. 201(P3).
    2. Yaquelin Verenice Pantoja-Pacheco & Javier Yáñez-Mendiola, 2024. "Method for the Statistical Analysis of the Signals Generated by an Acquisition Card for Pulse Measurement," Mathematics, MDPI, vol. 12(6), pages 1-24, March.
    3. Moiz Qureshi & Hasnain Iftikhar & Paulo Canas Rodrigues & Mohd Ziaur Rehman & S. A. Atif Salar, 2024. "Statistical Modeling to Improve Time Series Forecasting Using Machine Learning, Time Series, and Hybrid Models: A Case Study of Bitcoin Price Forecasting," Mathematics, MDPI, vol. 12(23), pages 1-15, November.

  2. 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.

    Cited by:

    1. Mukul Bhatnagar & Sanjay Taneja & Ramona Rupeika-Apoga, 2023. "Demystifying the Effect of the News (Shocks) on Crypto Market Volatility," JRFM, MDPI, vol. 16(2), pages 1-16, February.
    2. Otabek Sattarov & Fazliddin Makhmudov, 2025. "Risk-Aware Crypto Price Prediction Using DQN with Volatility-Adjusted Rewards Across Multi-Period State Representations," Mathematics, MDPI, vol. 13(18), pages 1-29, September.
    3. Apostolos Ampountolas, 2026. "Resilience and risk: Financial performance of lodging REITs and major financial indices to market crises," Tourism Economics, , vol. 32(3), pages 653-674, May.
    4. Alberto Manelli & Roberta Pace & Maria Leone, 2023. "The Financial Derivatives Market and the Pandemic: BioNTech and Moderna Volatility," JRFM, MDPI, vol. 16(10), pages 1-13, September.
    5. Apostolos Ampountolas, 2023. "Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins," Forecasting, MDPI, vol. 5(2), pages 1-15, June.
    6. Anas Eisa Abdelkreem Mohammed & Henry Mwambi & Bernard Omolo, 2024. "Time-Varying Correlations between JSE.JO Stock Market and Its Partners Using Symmetric and Asymmetric Dynamic Conditional Correlation Models," Stats, MDPI, vol. 7(3), pages 1-16, July.
    7. Mohamed M. Sraieb & Shahnawaz Muhammed & Vladimir Dženopoljac & Samet Gunay, 2025. "Determinants of Russia’s probability of default: evidence from domestic and global indicators," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 49(3), pages 854-882, September.

Articles

  1. Lo Mascolo, Giuseppina & Ampountolas, Apostolos & Chiodi, Marcello & Mocciaro Li Destri, Arabella & Levanti, Gabriella, 2026. "Climate-induced tourism breaks: Segmented-GAM analysis," Annals of Tourism Research, Elsevier, vol. 118(C).

    Cited by:

    1. Wongpit, Piya & Syphoxay, Pakaiphone, 2026. "Microinsurance for Climate Resilience in Lao PDR: A Diagnostic Assessment of Supply, Demand, and Policy Gaps," 2026 Conference, April 20-21, 2026, Chicago, Illinois 409072, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

  2. Ampountolas, Apostolos, 2025. "Election-induced volatility and cross-asset spillovers: The impact of political uncertainty on cryptocurrencies, stocks, and oil," Research in International Business and Finance, Elsevier, vol. 80(C).

    Cited by:

    1. Ampountolas, Apostolos, 2025. "Political uncertainty and market regimes: Clustering evidence from the 2024 U.S. election cycle," Finance Research Letters, Elsevier, vol. 86(PB).
    2. de Almeida, Israel Nunes & Palazzi, Rafael Baptista & Klotzle, Marcelo Cabus, 2026. "Breaking from the herd: Evidence from the 2024 U.S. election," Economics Letters, Elsevier, vol. 259(C).

  3. Apostolos Ampountolas, 2025. "Predicting hotel booking cancellations: a comprehensive machine learning approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(6), pages 539-550, December.

    Cited by:

    1. Harrison E. Katz & Jess Needleman & Liz Medina, 2026. "Distributional Fitting and Tail Analysis of Lead-Time Compositions: Nights vs. Revenue on Airbnb," Papers 2601.12175, arXiv.org, revised Feb 2026.
    2. Ian Yeoman, 2025. "Expanding the frontiers of revenue and pricing management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(6), pages 503-505, December.

  4. Apostolos Ampountolas & Mark Legg, 2024. "Predicting daily hotel occupancy: a practical application for independent hotels," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(3), pages 197-205, June.

    Cited by:

    1. Anastasia Arabadzhyan & Paolo Figini & Laura Vici, 2026. "Have you ever priced the rain? Unravelling how the weather forecasts affect prices in the hospitality industry," Tourism Economics, , vol. 32(2), pages 367-386, March.
    2. Mohamad Yusak Anshori & Puspandam Katias & Teguh Herlambang & Nur Shabrina Meutia & Zuraini Binti Othman & Mohd Sanusi Azmi, 2026. "Predicting hotel revenue using gradient boosting regression and support vector regression: a comparative analysis," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 25(3), pages 274-283, June.

  5. Apostolos Ampountolas, 2024. "Enhancing Forecasting Accuracy in Commodity and Financial Markets: Insights from GARCH and SVR Models," IJFS, MDPI, vol. 12(3), pages 1-20, June.

    Cited by:

    1. Ampountolas, Apostolos, 2025. "Election-induced volatility and cross-asset spillovers: The impact of political uncertainty on cryptocurrencies, stocks, and oil," Research in International Business and Finance, Elsevier, vol. 80(C).
    2. Li, Shuyue & Yarovaya, Larisa & Mishra, Tapas, 2025. "Machine learning, memory and efficiency in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 105(C).

  6. Apostolos Ampountolas & Giuseppina Menconi & Gareth Shaw, 2024. "Metaverse research propositions: Online intermediaries," Tourism Economics, , vol. 30(1), pages 255-261, February.

    Cited by:

    1. Liping Fu & Jie Yang & Yongqing Dong & Tong Pei, 2025. "How does information and communication technology promote tourism development? Evidence from the e-commerce pilot city policy in China," Tourism Economics, , vol. 31(2), pages 332-358, March.
    2. Aiolfi, Simone & Luceri, Beatrice, 2024. "See you on the Metaverse: A bibliometric expedition through the Metaverse landscape," Technological Forecasting and Social Change, Elsevier, vol. 207(C).

  7. Apostolos Ampountolas, 2024. "Forecasting Orange Juice Futures: LSTM, ConvLSTM, and Traditional Models Across Trading Horizons," JRFM, MDPI, vol. 17(11), pages 1-18, October.

    Cited by:

    1. Jeffrey Vitale & John Robinson, 2025. "In-Season Price Forecasting in Cotton Futures Markets Using ARIMA, Neural Network, and LSTM Machine Learning Models," JRFM, MDPI, vol. 18(2), pages 1-19, February.

  8. Apostolos Ampountolas, 2023. "Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins," Forecasting, MDPI, vol. 5(2), pages 1-15, June.
    See citations under working paper version above.
  9. Apostolos Ampountolas, 2023. "The Effect of COVID-19 on Cryptocurrencies and the Stock Market Volatility: A Two-Stage DCC-EGARCH Model Analysis," JRFM, MDPI, vol. 16(1), pages 1-17, January.
    See citations under working paper version above.
  10. Apostolos Ampountolas & Elizabeth Chiffer, 2022. "Will blockchain shift Online Travel Agencies toward growth or to an end?," Tourism Economics, , vol. 28(5), pages 1342-1347, August.

    Cited by:

    1. Yassine Mountije & Dora Agapito & Celia Ramos, 2025. "Reshaping the future of tourism & hospitality industry through blockchain technology: a systematic literature review," Information Technology & Tourism, Springer, vol. 27(2), pages 317-343, June.
    2. Liping Fu & Jie Yang & Yongqing Dong & Tong Pei, 2025. "How does information and communication technology promote tourism development? Evidence from the e-commerce pilot city policy in China," Tourism Economics, , vol. 31(2), pages 332-358, March.
    3. Apostolos Ampountolas & Giuseppina Menconi & Gareth Shaw, 2024. "Metaverse research propositions: Online intermediaries," Tourism Economics, , vol. 30(1), pages 255-261, February.

  11. Mark Legg & Timothy Webb & Apostolos Ampountolas, 2022. "Marketing to the next generation of casino patrons," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 89-101, March.

    Cited by:

    1. Maria Petrescu & Anjala S. Krishen, 2023. "Mapping 2022 in Journal of Marketing Analytics: what lies ahead?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(1), pages 1-4, March.
    2. Mark Legg & Apostolos Ampountolas, 2024. "How music listening preferences play a role in casino showroom offers," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(3), pages 611-623, September.
    3. Mark Legg & Apostolos Ampountolas & Asit Bandyopadhayay, 2026. "How personality traits influence perceptions of casino loyalty incentives," Journal of Marketing Analytics, Palgrave Macmillan, vol. 14(2), pages 517-534, June.

  12. Apostolos Ampountolas, 2022. "Cryptocurrencies Intraday High-Frequency Volatility Spillover Effects Using Univariate and Multivariate GARCH Models," IJFS, MDPI, vol. 10(3), pages 1-22, July.

    Cited by:

    1. Kudbeddin Şeker & Ethem Kiliç, 2026. "Bitcoin, U.S. stock markets, and volatility: the interaction of digital assets with traditional markets," Digital Finance, Springer, vol. 8(1), pages 1-25, March.
    2. 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.
    3. Franco, João Pedro M. & Laurini, Márcio P., 2025. "Quantifying systemic risk in cryptocurrency markets: A high-frequency approach," International Review of Economics & Finance, Elsevier, vol. 102(C).
    4. Galati, Luca & Webb, Alexander & Webb, Robert I., 2024. "Financial contagion in cryptocurrency exchanges: Evidence from the FTT collapse," Finance Research Letters, Elsevier, vol. 67(PA).
    5. Parthajit Kayal & Sumanjay Dutta, 2024. "Regime switching and causal network analysis of cryptocurrency volatility: evidence from pre-COVID and post-COVID analysis," Digital Finance, Springer, vol. 6(2), pages 319-340, June.
    6. Queiroz, R.G.S. & Kristoufek, L. & David, S.A., 2024. "A combined framework to explore cryptocurrency volatility and dependence using multivariate GARCH and Copula modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 652(C).
    7. Riccardo Blasis & Luca Galati & Alexander Webb & Robert I. Webb, 2023. "Intelligent design: stablecoins (in)stability and collateral during market turbulence," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    8. Palomba, Giulio & Tedeschi, Marco, 2024. "Contagion among European financial indices, evidence from a quantile VAR approach," Economic Systems, Elsevier, vol. 48(2).
    9. Apostolos Ampountolas, 2023. "Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins," Forecasting, MDPI, vol. 5(2), pages 1-15, June.
    10. Galati, Luca & Capalbo, Francesco, 2024. "Silicon Valley Bank bankruptcy and Stablecoins stability," International Review of Financial Analysis, Elsevier, vol. 91(C).
    11. Na, Yosep & Byun, Jun Young & Song, Jungyoon & Song, Jae Wook, 2026. "Probabilistic forecasting of high-frequency realized cryptocurrency volatility via CEEMDAN-integrated autoregressive recurrent neural network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 686(C).
    12. Alessio Brini & Jimmie Lenz, 2024. "A comparison of cryptocurrency volatility-benchmarking new and mature asset classes," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-38, December.
    13. Alessio Brini & Jimmie Lenz, 2024. "A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes," Papers 2404.04962, arXiv.org.
    14. Suleiman Dahir Mohamed & Mohd Tahir Ismail & Majid Khan Bin Majahar Ali, 2025. "Improving and evaluating GARCH-type models for Bitcoin volatility prediction," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 1219-1260, December.

  13. Mark Legg & Apostolos Ampountolas & Murat Hancer, 2022. "Senior leadership succession and market share: An econometric case study on Native American casinos," Tourism Economics, , vol. 28(8), pages 2176-2196, December.

    Cited by:

    1. Bora Kim & Seoki Lee, 2025. "Restaurant celebrity chief executive officer and risk-taking: The moderating role of chief executive officer origin and franchising," Tourism Economics, , vol. 31(5), pages 827-842, August.

  14. Apostolos Ampountolas, 2022. "Postcrisis REIT performance using financial ratios: A DEA approach," Tourism Economics, , vol. 28(2), pages 371-393, March.

    Cited by:

    1. Apostolos Ampountolas, 2026. "Resilience and risk: Financial performance of lodging REITs and major financial indices to market crises," Tourism Economics, , vol. 32(3), pages 653-674, May.
    2. Songul Cinaroglu & Burak Pirgaip, 2026. "ESG and Firm Performance in Global Healthcare Real Estate Investment Trusts: Evidence From Efficiency and Financial Outcomes," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 33(1), pages 769-785, January.
    3. Apostolos Ampountolas & Mark Legg & Gareth Shaw, 2024. "Real estate investment trusts during market shocks: Impact and resilience," Tourism Economics, , vol. 30(6), pages 1557-1579, September.

  15. Yagmur Saglam & Apostolos Ampountolas, 2021. "The effects of shocks on Turkish tourism demand: Evidence using panel unit root test," Tourism Economics, , vol. 27(4), pages 859-866, June.

    Cited by:

    1. Jakubelskas Ugnius & Skvarciany Viktorija, 2022. "An Evaluation of Circular Economy Development in the Baltic States," Folia Oeconomica Stetinensia, Paradigm, vol. 22(2), pages 193-208, December.
    2. Muhammad Imran & Xiangyang Liu & Rongyu Wang & Shah Saud & Yun Zhao & Muhammad Jalal Khan, 2022. "The Influence of Digital Economy and Society Index on Sustainable Development Indicators: The Case of European Union," Sustainability, MDPI, vol. 14(18), pages 1-16, September.

  16. Apostolos Ampountolas & Titus Nyarko Nde & Paresh Date & Corina Constantinescu, 2021. "A Machine Learning Approach for Micro-Credit Scoring," Risks, MDPI, vol. 9(3), pages 1-20, March.

    Cited by:

    1. Anil Kumar & Suneel Sharma & Mehregan Mahdavi, 2021. "Machine Learning (ML) Technologies for Digital Credit Scoring in Rural Finance: A Literature Review," Risks, MDPI, vol. 9(11), pages 1-15, October.
    2. Corina Constantinescu & Julia Eisenberg, 2021. "Special Issue “Interplay between Financial and Actuarial Mathematics”," Risks, MDPI, vol. 9(8), pages 1-3, July.
    3. Sunaina Kanojia & Anubhav Arora, 2025. "Machine learning for credit risk management through cross-economy evidence in default prediction," SN Business & Economics, Springer, vol. 5(12), pages 1-19, December.
    4. Paritosh Navinchandra Jha & Marco Cucculelli, 2021. "A New Model Averaging Approach in Predicting Credit Risk Default," Risks, MDPI, vol. 9(6), pages 1-15, June.
    5. Christian Kurniawan & Xiyu Deng & Adhiraj Chakraborty & Assane Gueye & Niangjun Chen & Yorie Nakahira, 2022. "A Learning and Control Perspective for Microfinance," Papers 2207.12631, arXiv.org, revised Dec 2022.
    6. Marco Antonio Reyes Morales & Magnolia Miriam Sosa Castro, 2022. "Modelo de puntuación crediticia para tarjeta de crédito en México: una aproximación logística," Ensayos Revista de Economía, Universidad Autónoma de Nuevo León, vol. 41(1), pages 17-52, May.
    7. Guner Altan & Server Demirci, 2022. "Credit Scoring on Cash Flow Table with Machine Learning: XGBoost Approach," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 9(2), pages 397-424, July.

  17. Apostolos Ampountolas, 2021. "Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models," Forecasting, MDPI, vol. 3(3), pages 1-16, August.

    Cited by:

    1. Jorge V Pérez-Rodríguez & Juan M Hernández & Julián Andrada-Félix, 2024. "Modelling prices and volatilities in the sharing economy," Tourism Economics, , vol. 30(5), pages 1189-1215, August.
    2. Badri Toppur & T. C. Thomas, 2023. "Forecasting Commercial Vehicle Production Using Quantitative Techniques," Contemporary Economics, Vizja University, vol. 17(1), March.
    3. 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.
    4. 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.
    5. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
    6. Apostolos Ampountolas & Mark Legg, 2024. "Predicting daily hotel occupancy: a practical application for independent hotels," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(3), pages 197-205, June.
    7. Dong Zhang & Chong Wu, 2023. "What online review features really matter? An explainable deep learning approach for hotel demand forecasting," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(9), pages 1100-1117, September.
    8. Jordi Grau-Escolano & Salvador Anton Clavé & Joan Borràs, 2026. "Daily tourism demand forecasting via card transactions: a multi-source, interpretable, framework for diverse destinations and markets," Information Technology & Tourism, Springer, vol. 28(1), pages 1-29, June.
    9. Ivanka Vasenska, 2025. "Comparative Analysis of Machine Learning and Deep Learning Models for Tourism Demand Forecasting with Economic Indicators," FinTech, MDPI, vol. 4(3), pages 1-22, September.
    10. Juan Gabriel Brida & Martín Olivera & Manuela Pulina, 2026. "Determinants of visitors’ flow in Uruguay: A SARIMAX approach," Tourism Economics, , vol. 32(1), pages 105-128, February.
    11. Apostolos Ampountolas & Mark Legg, 2026. "A comprehensive approach to enhancing short-term hotel cancellation forecasts through dynamic machine learning models," Tourism Economics, , vol. 32(2), pages 321-341, March.
    12. Apostolos Ampountolas, 2025. "Addressing complex seasonal patterns in hotel forecasting: a comparative study," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(2), pages 143-152, April.
    13. Günal Bilek, 2025. "Modeling Tourism Demand in Turkey (2008–2024): Time-Series Approaches for Sustainable Growth," Sustainability, MDPI, vol. 17(4), pages 1-19, February.
    14. Apostolos Ampountolas, 2025. "Predicting hotel booking cancellations: a comprehensive machine learning approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(6), pages 539-550, December.
    15. Keerti Manisha & Inderpal Singh, 2024. "Forecasting of Indian and foreign tourist arrivals to Himachal Pradesh using Decomposition, Box–Jenkins, and Holt–Winters exponential smoothing methods," Asia-Pacific Journal of Regional Science, Springer, vol. 8(3), pages 879-909, September.
    16. Mokhtar Jlidi & Oscar Barambones & Faiçal Hamidi & Mohamed Aoun, 2024. "ANN for Temperature and Irradiation Prediction and Maximum Power Point Tracking Using MRP-SMC," Energies, MDPI, vol. 17(12), pages 1-21, June.

  18. Apostolos Ampountolas, 2019. "Forecasting hotel demand uncertainty using time series Bayesian VAR models," Tourism Economics, , vol. 25(5), pages 734-756, August.

    Cited by:

    1. Timothy Webb, 2022. "Forecasting at capacity: the bias of unconstrained forecasts in model evaluation," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 645-656, December.
    2. Tianxiang Zheng & Shaopeng Liu & Zini Chen & Yuhan Qiao & Rob Law, 2020. "Forecasting Daily Room Rates on the Basis of an LSTM Model in Difficult Times of Hong Kong: Evidence from Online Distribution Channels on the Hotel Industry," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    3. Fatemeh Binesh & Amanda Belarmino & Carola Raab, 2021. "A meta-analysis of hotel revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(5), pages 546-558, October.
    4. Apostolos Ampountolas & Mark Legg, 2026. "A comprehensive approach to enhancing short-term hotel cancellation forecasts through dynamic machine learning models," Tourism Economics, , vol. 32(2), pages 321-341, March.
    5. Apostolos Ampountolas, 2025. "Addressing complex seasonal patterns in hotel forecasting: a comparative study," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(2), pages 143-152, April.
    6. Jin Zhao & Emine Kaya & Kishwar Ali & Cosimo Magazzino & Abdulkadir Barut, 2025. "The Asymmetric Effect of Foreign Ownership and Concentration on Financial Dollarization: The Case of the Turkish Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(3), pages 12504-12540, September.
    7. Mingming Hu & Xin Zhao & Jingfei Ren & Doris Chenguang Wu, 2025. "A novel big data-based multicollinearity-eliminating feature extraction method for tourism demand forecasting," Tourism Economics, , vol. 31(7), pages 1371-1401, November.
    8. Juan Antonio Duro & António Osório & Alejandro Perez-Laborda, 2026. "Can uncertainty increase investments in the hospitality industry? Understanding Overbuilding and Overcapacity," Tourism Economics, , vol. 32(3), pages 675-688, May.
    9. Jie Deng & Li Yao & Mengyi Chen & Qingsong He, 2024. "Effects of partial demand uncertainty reduction on private equity financing in small and medium-sized enterprises: A supply chain perspective," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-20, March.
    10. Gang Xie & Xin Li & Yatong Qian & Shouyang Wang, 2021. "Forecasting tourism demand with KPCA-based web search indexes," Tourism Economics, , vol. 27(4), pages 721-743, June.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (1) 2023-08-21. Author is listed
  2. NEP-CMP: Computational Economics (1) 2023-08-21. Author is listed
  3. NEP-FMK: Financial Markets (1) 2023-08-21. Author is listed
  4. NEP-FOR: Forecasting (1) 2023-08-21. Author is listed
  5. NEP-RMG: Risk Management (1) 2023-08-21. Author is listed

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