Adrian Gepp

Personal Details

First Name:	Adrian
Middle Name:
Last Name:	Gepp
Suffix:
RePEc Short-ID:	pge391
	[This author has chosen not to make the email address public]

Affiliation

(50%) School of Business
Bond University

Gold Coast, Australia
http://www.bond.edu.au/bus/
RePEc:edi:sbondau (more details at EDIRC)

(50%) Bangor Business School
Bangor University

Bangor, United Kingdom
http://www.bangor.ac.uk/business/
RePEc:edi:sabanuk (more details at EDIRC)

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.

Articles

1. Nikki Cornwell & Christopher Bilson & Adrian Gepp & Steven Stern & Bruce J Vanstone, 2023. "The role of data analytics within operational risk management: A systematic review from the financial services and energy sectors," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(1), pages 374-402, January.

   Cited by:

   1. Badiee, Aghdas & Moshtari, Mohammad & Berenguer, Gemma, 2024. "A systematic review of operations research and management science modeling techniques in the study of higher education institutions," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).

2. Cornwell, Nikki & Bilson, Christopher & Gepp, Adrian & Stern, Steven & Vanstone, Bruce J., 2023. "Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered report," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).

   Cited by:

   1. Hawkar Anwer Hamad & Kemal Cek, 2023. "The Moderating Effects of Corporate Social Responsibility on Corporate Financial Performance: Evidence from OECD Countries," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
   2. Adi GUNANTO, 2023. "Mitigating Financial Distress: Analysis of Financial Indicators for Startup Companies in Indonesia," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(10), pages 49-59, October.
   3. Cornwell, Nikki & Bilson, Christopher & Gepp, Adrian & Stern, Steven & Vanstone, Bruce J., 2023. "Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered study," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
   4. Duncan, Keith & Gepp, Adrian & Craig, Justin & O'Neill, Helen, 2023. "Research ideas matter: Guidance for research students and early career researchers," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).

3. Cornwell, Nikki & Bilson, Christopher & Gepp, Adrian & Stern, Steven & Vanstone, Bruce J., 2023. "Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered study," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).

   Cited by:

   1. Hawkar Anwer Hamad & Kemal Cek, 2023. "The Moderating Effects of Corporate Social Responsibility on Corporate Financial Performance: Evidence from OECD Countries," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
   2. Duncan, Keith & Gepp, Adrian & Craig, Justin & O'Neill, Helen, 2023. "Research ideas matter: Guidance for research students and early career researchers," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).

4. Thomas Aspinall & Adrian Gepp & Geoff Harris & Simone Kelly & Colette Southam & Bruce Vanstone, 2021. "Estimation of a term structure model of carbon prices through state space methods: The European Union emissions trading scheme," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3797-3819, June.

   Cited by:

   1. Qin Zhang & He Ni & Hao Xu, 2023. "Forecasting models for the Chinese macroeconomy in a data‐rich environment: Evidence from large dimensional approximate factor models with mixed‐frequency data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 719-767, March.
   2. Dahlen, Niklas & Fehrenkötter, Rieke & Schreiter, Maximilian, 2024. "The new bond on the block — Designing a carbon-linked bond for sustainable investment projects," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 316-325.

5. Adrian Gepp & Kuldeep Kumar & Sukanto Bhattacharya, 2021. "Lifting the numbers game: identifying key input variables and a best‐performing model to detect financial statement fraud," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4601-4638, September.

   Cited by:

   1. Xiaowei Chen & Cong Zhai, 2023. "Bagging or boosting? Empirical evidence from financial statement fraud detection," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(5), pages 5093-5142, December.
   2. Esraa Faisal Malik & Khai Wah Khaw & Bahari Belaton & Wai Peng Wong & XinYing Chew, 2022. "Credit Card Fraud Detection Using a New Hybrid Machine Learning Architecture," Mathematics, MDPI, vol. 10(9), pages 1-16, April.
   3. Duncan, Keith & Gepp, Adrian & Craig, Justin & O'Neill, Helen, 2023. "Research ideas matter: Guidance for research students and early career researchers," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).

6. Thomas William Aspinall & Adrian Gepp & Geoff Harris & Simone Kelly & Colette Southam & Bruce Vanstone, 2020. "Estimation of a term structure model of carbon prices through state spaces methods: a pitch," Accounting Research Journal, Emerald Group Publishing Limited, vol. 34(1), pages 106-112, December.

   Cited by:

   1. Han Jun S. & Kordzakhia Nino & Shevchenko Pavel V. & Trück Stefan, 2022. "On correlated measurement errors in the Schwartz–Smith two-factor model," Dependence Modeling, De Gruyter, vol. 10(1), pages 108-122, January.

7. Milind Tiwari & Adrian Gepp & Kuldeep Kumar, 2020. "A review of money laundering literature: the state of research in key areas," Pacific Accounting Review, Emerald Group Publishing Limited, vol. 32(2), pages 271-303, March.

   Cited by:

   1. Daniel Dupuis & Kimberly Gleason, 2020. "Money laundering with cryptocurrency: open doors and the regulatory dialectic," Journal of Financial Crime, Emerald Group Publishing Limited, vol. 28(1), pages 60-74, August.
   2. Christoph Wronka, 2024. "Crypto-asset regulatory landscape: a comparative analysis of the crypto-asset regulation in the UK and Germany," Journal of Asset Management, Palgrave Macmillan, vol. 25(4), pages 417-426, July.

8. Rui Xue & Adrian Gepp & Terry J. O'Neill & Steven Stern & Bruce J. Vanstone, 2020. "Financial well‐being amongst elderly Australians: the role of consumption patterns and financial literacy," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 4361-4386, December.

   Cited by:

   1. Xiaomeng Lu & Jiaojiao Guo & Hailing Zhou, 2021. "Digital financial inclusion development, investment diversification, and household extreme portfolio risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(5), pages 6225-6261, December.
   2. Ifra Bashir & Ishtiaq Hussain Qureshi, 2023. "A Systematic Literature Review on Personal Financial Well-Being: The Link to Key Sustainable Development Goals 2030," FIIB Business Review, , vol. 12(1), pages 31-48, March.
   3. Ye, Xiang & Yue, Pengpeng, 2023. "Financial literacy and household energy efficiency: An analysis of credit market and supply chain," Finance Research Letters, Elsevier, vol. 52(C).
   4. Sayed Ehsan Saeedi & T. Mohamed Nishad, 2024. "Financial well-being and financial behavior: a bibliometric analysis," SN Business & Economics, Springer, vol. 4(12), pages 1-24, December.
   5. Putra Hilmi Prayitno & Sheerad Sahid & Muhammad Hussin, 2022. "Social Capital and Household Economic Welfare: Do Entrepreneurship, Financial and Digital Literacy Matter?," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
   6. Amany A. El Anshasy & Mrittika Shamsuddin & Marina-Selini Katsaiti, 2023. "Financial Wellbeing and International Migration Intentions: Evidence from Global Surveys," Journal of Happiness Studies, Springer, vol. 24(7), pages 2261-2289, October.

9. Rui Xue & Adrian Gepp & Terry J. O'Neill & Steven Stern & Bruce J. Vanstone, 2019. "Financial literacy amongst elderly Australians," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(S1), pages 887-918, April.

   Cited by:

   1. Xiaomeng Lu & Jiaojiao Guo & Hailing Zhou, 2021. "Digital financial inclusion development, investment diversification, and household extreme portfolio risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(5), pages 6225-6261, December.
   2. Paul Gerrans & Anthony Asher & Joanne Kaa Earl, 2022. "Cognitive functioning, financial literacy, and judgment in older age," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1637-1674, April.
   3. Milena Dinkova & Adriaan Kalwij & Rob Alessie, 2021. "Know More, Spend More? The Impact of Financial Literacy on Household Consumption," De Economist, Springer, vol. 169(4), pages 469-498, November.
      • M. Dinkova & A.S. Kalwij & Rob Alessie, 2019. "Know more, spend more?: The impact of financial literacy on household consumption," Working Papers 1914, Utrecht School of Economics.
   4. Pan, Xuefeng & Wu, Weixing & Zhang, Xuyang, 2020. "Is financial advice a cure-all or the icing on the cake for financial literacy? Evidence from financial market participation in China," International Review of Financial Analysis, Elsevier, vol. 69(C).
   5. Lu Jiao & Graeme Harrison & Jinhua Chen & Kym Butcher, 2021. "Does emotional intelligence matter to academic work performance? Evidence from business faculties in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(1), pages 1181-1204, March.
   6. Noviarini, Jelita & Coleman, Andrew & Roberts, Helen & Whiting, Rosalind H., 2023. "Financial literacy and retirees' resource allocation decisions in New Zealand," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
   7. Rui Xue & Adrian Gepp & Terry J. O'Neill & Steven Stern & Bruce J. Vanstone, 2020. "Financial well‐being amongst elderly Australians: the role of consumption patterns and financial literacy," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 4361-4386, December.
   8. Noviarini, Jelita & Coleman, Andrew & Roberts, Helen & Whiting, Rosalind H., 2021. "Financial literacy, debt, risk tolerance and retirement preparedness: Evidence from New Zealand," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
   9. Robert Faff & Tim Kastelle & Micheal Axelsen & Mark Brosnan & Rebecca Michalak & Kathleen Walsh, 2021. "Pitching research for engagement and impact: a simple tool and illustrative examples," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3329-3383, June.
   10. Mahendru, Mandeep & Sharma, Gagan Deep & Pereira, Vijay & Gupta, Mansi & Mundi, Hardeep Singh, 2022. "Is it all about money honey? Analyzing and mapping financial well-being research and identifying future research agenda," Journal of Business Research, Elsevier, vol. 150(C), pages 417-436.
   11. Muhammad S. Tahir & Abdullahi D. Ahmed, 2021. "Australians’ Financial Wellbeing and Household Debt: A Panel Analysis," JRFM, MDPI, vol. 14(11), pages 1-14, October.
   12. Vieira, Kelmara Mendes & Matheis, Taiane Keila & Potrich, Ani Caroline Grigion & Puhle, Mayara de Carvalho & Bressan, Aureliano Angel & Klein, Leander Luiz, 2024. "Financial Freedom Perception Scale (FFPS): Construction and validation," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
   13. Francisco J. Oliver-Márquez & Almudena Guarnido-Rueda & Ignacio Amate-Fortes & Diego Martínez-Navarro, 2024. "Regional Comparative Analysis on the Determinants of the Spaniards’ Financial Knowledge," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 4203-4238, March.
   14. Robert Powell & Anh Do & Denise Gengatharen & Jaime Yong & Rasiah Gengatharen, 2023. "The relationship between responsible financial behaviours and financial wellbeing: The case of buy‐now‐pay‐later," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4431-4451, December.
   15. Steffen Westermann & Scott J. Niblock & Jennifer L. Harrison & Michael A. Kortt, 2020. "Financial Advice Seeking: A Review of the Barriers and Benefits," Economic Papers, The Economic Society of Australia, vol. 39(4), pages 367-388, December.
   16. Mahfuzur Rahman & Che Ruhana Isa & Muhammad Mehedi Masud & Moniruzzaman Sarker & Nazreen T. Chowdhury, 2021. "The role of financial behaviour, financial literacy, and financial stress in explaining the financial well-being of B40 group in Malaysia," Future Business Journal, Springer, vol. 7(1), pages 1-18, December.
   17. Aaron Bruhn & Anthony Asher, 2021. "The primacy of ethics in the provision of financial advice," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3305-3327, June.
   18. Zhijuan Chen & William T. Lin & Changfeng Ma & Kent Wang, 2020. "Are individual investors liquidity providers around earnings announcements? Evidence from an emerging market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3447-3475, December.
   19. Florian Gerth & Katia Lopez & Krishna Reddy & Vikash Ramiah & Damien Wallace & Glenn Muschert & Alex Frino & Leonie Jooste, 2021. "The Behavioural Aspects of Financial Literacy," JRFM, MDPI, vol. 14(9), pages 1-16, August.
   20. Sampath Sanjeewa Weedige & Hongbing Ouyang & Yao Gao & Yaqing Liu, 2019. "Decision Making in Personal Insurance: Impact of Insurance Literacy," Sustainability, MDPI, vol. 11(23), pages 1-24, November.

10. Khaled Halteh & Kuldeep Kumar & Adrian Gepp, 2018. "Using Cutting-Edge Tree-Based Stochastic Models to Predict Credit Risk," Risks, MDPI, vol. 6(2), pages 1-13, May.

    Cited by:

    1. Md. Rashidul Islam, 2024. "How to Achieve Financial Flexibility: the Role of Corporate Governance," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6541-6577, June.
    2. Yaseen Ghulam & Kamini Dhruva & Sana Naseem & Sophie Hill, 2018. "The Interaction of Borrower and Loan Characteristics in Predicting Risks of Subprime Automobile Loans," Risks, MDPI, vol. 6(3), pages 1-21, September.

11. Adrian Gepp & Martina K. Linnenluecke & Terrence J. O’Neill & Tom Smith, 2018. "Big data techniques in auditing research and practice: Current trends and future opportunities," Journal of Accounting Literature, Emerald Group Publishing Limited, vol. 40(1), pages 102-115, February.

    Cited by:

    1. Gabrielli, Gianluca & Magri, Carlotta & Medioli, Alice & Marchini, Pier Luigi, 2024. "The power of big data affordances to reshape anti-fraud strategies," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    2. Helmi Hentati & Neila Boulila Taktak, 2023. "Unlocking Technological Capabilities to Boost the Performance of Accounting Firms," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 22(4), pages 631-656, December.
    3. Salonee Patel & Manan Shah, 2023. "A Comprehensive Study on Implementing Big Data in the Auditing Industry," Annals of Data Science, Springer, vol. 10(3), pages 657-677, June.
    4. HUY Pham Quang & PHUC Vu Kien, 2024. "Optimization of Accounting information System in Public Sector for Sustainable Risk Management Under Big Data Analytics. Does forensic Accountants’ Skill Generate Differences?," Foundations of Management, Sciendo, vol. 16(1), pages 67-82.
    5. Thorsten Sellhorn, 2020. "Machine Learning und empirische Rechnungslegungsforschung: Einige Erkenntnisse und offene Fragen [Machine Learning and Empirical Accounting Research: Some Findings and Open Questions]," Schmalenbach Journal of Business Research, Springer, vol. 72(1), pages 49-69, March.
    6. Duncan, Keith & Gepp, Adrian & Craig, Justin & O'Neill, Helen, 2023. "Research ideas matter: Guidance for research students and early career researchers," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    7. Ha Nguyen, 2023. "Particle MCMC in forecasting frailty correlated default models with expert opinion," Papers 2304.11586, arXiv.org, revised Aug 2023.
    8. Jean Robert Kala Kamdjoug & Hyacinthe Djanan Sando & Jules Raymond Kala & Arielle Ornela Ndassi Teutio & Sunil Tiwari & Samuel Fosso Wamba, 2024. "Data analytics-based auditing: a case study of fraud detection in the banking context," Annals of Operations Research, Springer, vol. 340(2), pages 1161-1188, September.

12. Mark Johnman & Bruce James Vanstone & Adrian Gepp, 2018. "Predicting FTSE 100 returns and volatility using sentiment analysis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 253-274, November.

    Cited by:

    1. Yasheng Chen & Xian Huang & Zhuojun Wu, 2023. "From natural language to accounting entries using a natural language processing method," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 3781-3795, December.
    2. Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna & Robert Brooks, 2019. "Investor Attention and Stock Market Activities: New Evidence from Panel Data," IJFS, MDPI, vol. 7(2), pages 1-19, June.
    3. Eryka Probierz & Adam Galuszka & Katarzyna Klimczak & Karol Jedrasiak & Tomasz Wisniewski & Tomasz Dzida, 2021. "Financial Sentiment on Twitter's Community and it's Connection to Polish Stock Market Movements in Context of Behavior Modelling," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 56-65.
    4. Weiguo Zhang & Xue Gong & Chao Wang & Xin Ye, 2021. "Predicting stock market volatility based on textual sentiment: A nonlinear analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1479-1500, December.
    5. Basak, Gopal K. & Das, Pranab Kumar & Marjit, Sugata & Mukherjee, Debashis & Yang, Lei, 2023. "The British Stock Market, currencies, brexit, and media sentiments: A big data analysis," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    6. Yun Liu & Dengshi Huang & Jianan Zhou & Sirui Wang, 2024. "Does image sentiment of major public emergency affect the stock market performance? New insight from deep learning techniques," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(4), pages 4447-4472, December.
    7. Aktham Maghyereh & Hussein Abdoh, 2022. "Global financial crisis versus COVID‐19: Evidence from sentiment analysis," International Finance, Wiley Blackwell, vol. 25(2), pages 218-248, August.
    8. Gong, Xue & Zhang, Weiguo & Wang, Junbo & Wang, Chao, 2022. "Investor sentiment and stock volatility: New evidence," International Review of Financial Analysis, Elsevier, vol. 80(C).
    9. Andrew Todd & James Bowden & Yashar Moshfeghi, 2024. "Text‐based sentiment analysis in finance: Synthesising the existing literature and exploring future directions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(1), March.
    10. Marie Bessec & Julien Fouquau, 2024. "A Green Wave in Media: A Change of Tack in Stock Markets," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(5), pages 1026-1057, October.
        • Marie Bessec & Julien Fouquau, 2024. "A Green Wave in Media: A Change of Tack in Stock Markets," Post-Print hal-04706501, HAL.
    11. Tang, Zhenpeng & Lin, Qiaofeng & Cai, Yi & Chen, Kaijie & Liu, Dinggao, 2024. "Harnessing the power of real-time forum opinion: Unveiling its impact on stock market dynamics using intraday high-frequency data in China," International Review of Financial Analysis, Elsevier, vol. 93(C).
    12. Gopal K. Basak & Pranab Kumar Das & Sugata Marjit & Debashis Mukherjee & Lei Yang, 2019. "British Stock Market, BREXIT and Media Sentiments - A Big Data Analysis," CESifo Working Paper Series 7760, CESifo.
    13. Pedro Manuel Nogueira Reis & Carlos Pinho, 2021. "A Reappraisal of the Causal Relationship between Sentiment Proxies and Stock Returns," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 22(4), pages 420-442, October.
    14. Mariano González-Sánchez & M. Encina Morales de Vega, 2021. "Influence of Bloomberg’s Investor Sentiment Index: Evidence from European Union Financial Sector," Mathematics, MDPI, vol. 9(4), pages 1-21, February.
    15. Zhijuan Chen & William T. Lin & Changfeng Ma & Kent Wang, 2020. "Are individual investors liquidity providers around earnings announcements? Evidence from an emerging market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3447-3475, December.

13. Adrian Gepp & Kuldeep Kumar & Sukanto Bhattacharya, 2010. "Business failure prediction using decision trees," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(6), pages 536-555.

    Cited by:

    1. Ünal, Cemre & Ceasu, Ioana, 2019. "A Machine Learning Approach Towards Startup Success Prediction," IRTG 1792 Discussion Papers 2019-022, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Kim, Soo Y. & Upneja, Arun, 2014. "Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models," Economic Modelling, Elsevier, vol. 36(C), pages 354-362.
    3. Jiaming Liu & Chong Wu & Yongli Li, 2019. "Improving Financial Distress Prediction Using Financial Network-Based Information and GA-Based Gradient Boosting Method," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 851-872, February.
    4. Zeineb Affes & Rania Hentati-Kaffel, 2019. "Forecast bankruptcy using a blend of clustering and MARS model: case of US banks," Annals of Operations Research, Springer, vol. 281(1), pages 27-64, October.
    5. Wei Xu & Yuchen Pan & Wenting Chen & Hongyong Fu, 2019. "Forecasting Corporate Failure in the Chinese Energy Sector: A Novel Integrated Model of Deep Learning and Support Vector Machine," Energies, MDPI, vol. 12(12), pages 1-20, June.
    6. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01314553, HAL.
    7. Carlos Serrano-Cinca & Y. Fuertes-Callén & Begoña Gutiérrez-Nieto & B. Cuéllar-Fernández, 2011. "Path modeling to bankruptcy: causes and symptoms of the banking crisis," Working Papers CEB 11-007, ULB -- Universite Libre de Bruxelles.
       • Carlos Serrano-Cinca & Yolanda Fuertes-Call鮠 & Bego uti鲲ez-Nieto & Beatriz Cuellar-Fernᮤez, 2014. "Path modelling to bankruptcy: causes and symptoms of the banking crisis," Applied Economics, Taylor & Francis Journals, vol. 46(31), pages 3798-3811, November.
    8. Salman Bahoo & Marco Cucculelli & Xhoana Goga & Jasmine Mondolo, 2024. "Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis," SN Business & Economics, Springer, vol. 4(2), pages 1-46, February.
    9. Kaiser, Ulrich & Kuhn, Johan M., 2020. "The value of publicly available, textual and non-textual information for startup performance prediction," ZEW Discussion Papers 20-012, ZEW - Leibniz Centre for European Economic Research.
       • Kaiser, Ulrich & Kuhn, Johan M., 2020. "The value of publicly available, textual and non-textual information for startup performance prediction," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    10. Amélia Ferreira da Silva & José Henrique Brito & Mariline Lourenço & José Manuel Pereira, 2023. "Sustainability of Transport Sector Companies: Bankruptcy Prediction Based on Artificial Intelligence," Sustainability, MDPI, vol. 15(23), pages 1-13, December.
    11. Graham, Byron & Bonner, Karen, 2022. "One size fits all? Using machine learning to study heterogeneity and dominance in the determinants of early-stage entrepreneurship," Journal of Business Research, Elsevier, vol. 152(C), pages 42-59.
    12. Khaled Halteh & Kuldeep Kumar & Adrian Gepp, 2018. "Using Cutting-Edge Tree-Based Stochastic Models to Predict Credit Risk," Risks, MDPI, vol. 6(2), pages 1-13, May.
    13. Marco Taboga, 2022. "Cross-country differences in the size of venture capital financing rounds: a machine learning approach," Empirical Economics, Springer, vol. 62(3), pages 991-1012, March.
        • Marco Taboga, 2019. "Cross-country differences in the size of venture capital financing rounds: a machine learning approach," Temi di discussione (Economic working papers) 1243, Bank of Italy, Economic Research and International Relations Area.
    14. Jie Sun, 2012. "Integration Of Random Sample Selection, Support Vector Machines And Ensembles For Financial Risk Forecasting With An Empirical Analysis On The Necessity Of Feature Selection," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 229-246, October.
    15. Václav KLEPAC & David HAMPEL, 2017. "Predicting financial distress of agriculture companies in EU," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(8), pages 347-355.
    16. Li, Hui & Sun, Jie, 2012. "Forecasting business failure: The use of nearest-neighbour support vectors and correcting imbalanced samples – Evidence from the Chinese hotel industry," Tourism Management, Elsevier, vol. 33(3), pages 622-634.
    17. Sebastian Klaudiusz Tomczak & Anna Skowrońska-Szmer & Jan Jakub Szczygielski, 2020. "Is Investing in Companies Manufacturing Solar Components a Lucrative Business? A Decision Tree Based Analysis," Energies, MDPI, vol. 13(2), pages 1-27, January.
    18. Adrian Gepp & Kuldeep Kumar & Sukanto Bhattacharya, 2021. "Lifting the numbers game: identifying key input variables and a best‐performing model to detect financial statement fraud," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4601-4638, September.
    19. Misund, Bård, 2015. "Financial Ratios and Prediction on Corporate Bankruptcy in the Atlantic Salmon Industry," UiS Working Papers in Economics and Finance 2015/9, University of Stavanger.
    20. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks," Documents de travail du Centre d'Economie de la Sorbonne 16026, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    21. Francis Kipkogei & Ignace H. Kabano & Belle Fille Murorunkwere & Nzabanita Joseph, 2021. "Business success prediction in Rwanda: a comparison of tree-based models and logistic regression classifiers," SN Business & Economics, Springer, vol. 1(8), pages 1-19, August.
    22. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks," Post-Print halshs-01314553, HAL.
    23. Soo Young Kim, 2018. "Predicting hospitality financial distress with ensemble models: the case of US hotels, restaurants, and amusement and recreation," Service Business, Springer;Pan-Pacific Business Association, vol. 12(3), pages 483-503, September.
    24. Bräuning, Michael & Malikkidou, Despo & Scricco, Giorgio & Scalone, Stefano, 2019. "A new approach to Early Warning Systems for small European banks," Working Paper Series 2348, European Central Bank.
    25. Munirul H. Nabin & Sukanto Bhattacharya & Shuddhaswatta Rafiq, 2015. "Mortgage-Backed Securities (MBS): Is It a Curse or a Blessing for the Australian Home Loan Market? A Natural Experiment," Australian Economic Papers, Wiley Blackwell, vol. 54(2), pages 104-120, June.
    26. Li, Hui & Hong, Lu-Yao & He, Jia-Xun & Xu, Xuan-Guo & Sun, Jie, 2013. "Small sample-oriented case-based kernel predictive modeling and its economic forecasting applications under n-splits-k-times hold-out assessment," Economic Modelling, Elsevier, vol. 33(C), pages 747-761.
    27. Yazan F. Roumani, 2023. "Sports analytics in the NFL: classifying the winner of the superbowl," Annals of Operations Research, Springer, vol. 325(1), pages 715-730, June.
    28. Salima Smiti & Makram Soui, 2020. "Bankruptcy Prediction Using Deep Learning Approach Based on Borderline SMOTE," Information Systems Frontiers, Springer, vol. 22(5), pages 1067-1083, October.
    29. Deng, Shangkun & Luo, Qunfang & Zhu, Yingke & Ning, Hong & Shimada, Tatsuro, 2024. "Financial risk forewarning with an interpretable ensemble learning approach: An empirical analysis based on Chinese listed companies," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).

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To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

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