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Significance, relevance and explainability in the machine learning age : an econometrics and financial data science perspective
Hoepner, Andreas G. F.; McMillan, David G.; Vivian, Andrew - In: The European journal of finance 27 (2021) 1/2, pp. 1-7
Persistent link: https://www.econbiz.de/10012424925
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Financial data science : the birth of a new financial research paradigm complementing econometrics?
Brooks, Chris; Hoepner, Andreas G. F.; McMillan, David G.; … - In: The European journal of finance 25 (2019) 17, pp. 1627-1636
Persistent link: https://www.econbiz.de/10012207132
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Workshop on recent developments in econometrics and financial data science : ICMA Centre, Henley Business School, University of Reading, UK, 2nd November 2017
Brooks, Chris (ed.); Hoepner, Andreas G. F. (ed.);  … - Workshop on Recent Developments in Econometrics and … - 2019
Persistent link: https://www.econbiz.de/10012207391
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Women on boards and corporate social irresponsibility : evidence from a Granger style reverse causality minimisation procedure
Godfrey, Christopher; Hoepner, Andreas G. F.; Lin, … - In: The European journal of finance 30 (2024) 1, pp. 1-27
Persistent link: https://www.econbiz.de/10014547296
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Islamic mutual funds' financial performance and international investment style : evidence from 20 countries
Hoepner, Andreas G. F.; Rammal, Hussain; Rezec, Michael - In: The European journal of finance 17 (2011) 9/10, pp. 829-850
Persistent link: https://www.econbiz.de/10009529138