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Year of publication
Subject
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Neural networks 5,116 Neuronale Netze 4,806 Theorie 2,556 Theory 2,545 Prognoseverfahren 1,957 Forecasting model 1,950 Artificial intelligence 1,145 Künstliche Intelligenz 1,139 neural networks 606 Zeitreihenanalyse 443 Time series analysis 436 Prognose 332 Forecast 312 Neuronales Netz 305 Lernprozess 288 Learning process 287 Algorithmus 286 Algorithm 284 Regressionsanalyse 264 Regression analysis 263 Estimation 245 Schätzung 244 Börsenkurs 214 machine learning 214 Share price 213 Machine learning 208 Schätztheorie 206 Estimation theory 202 Mathematical programming 192 Mathematische Optimierung 192 Portfolio selection 192 Portfolio-Management 192 Fuzzy sets 190 Fuzzy-Set-Theorie 190 Volatility 190 Volatilität 190 Data Mining 173 Neural Networks 168 Data mining 167 Wechselkurs 162
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Online availability
All
Undetermined 1,943 Free 1,885 CC license 312
Type of publication
All
Article 3,898 Book / Working Paper 1,856 Other 12 Journal 1
Type of publication (narrower categories)
All
Article in journal 2,913 Aufsatz in Zeitschrift 2,913 Working Paper 482 Graue Literatur 477 Non-commercial literature 477 Arbeitspapier 437 Aufsatz im Buch 389 Book section 389 Hochschulschrift 190 Thesis 156 Dissertation u.a. Prüfungsschriften 66 Article 60 Bibliografie enthalten 51 Bibliography included 51 research-article 43 Collection of articles of several authors 40 Sammelwerk 40 Aufsatzsammlung 33 Conference paper 28 Konferenzbeitrag 28 Konferenzschrift 23 technical-paper 14 Lehrbuch 13 Conference proceedings 12 Case study 11 Fallstudie 11 Textbook 10 Forschungsbericht 7 Systematic review 6 Übersichtsarbeit 6 Collection of articles written by one author 5 Sammlung 5 Congress Report 4 Glossar enthalten 4 Glossary included 4 review-article 4 conceptual-paper 3 non-article 3 review 3 Amtliche Publikation 2
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Language
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English 4,723 Undetermined 546 German 442 Spanish 25 French 12 Italian 7 Portuguese 4 Russian 4 Czech 3 Polish 2 Slovak 2 Slovenian 2 Hungarian 1 Dutch 1 Norwegian 1 Swedish 1
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Author
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Nijkamp, Peter 39 Reggiani, Aura 34 Medeiros, Marcelo C. 32 Kapetanios, George 29 White, Halbert 27 Fischer, Manfred M. 20 Dijk, Herman K. van 19 Gottschling, Andreas 19 Patuelli, Roberto 18 Wüthrich, Mario V. 18 Anders, Ulrich 17 Binner, Jane M. 17 Blake, Andrew P. 17 Claveria, Oscar 17 May, Constantin 17 Teräsvirta, Timo 17 Torra, Salvador 17 Hruschka, Harald 16 Lopez de Prado, Marcos 16 McAleer, Michael 16 Kaashoek, Johan F. 15 Baetge, Jörg 14 Dunis, Christian 14 Fernández-Villaverde, Jesús 14 Tsionas, Efthymios G. 14 Wiedmann, Klaus-Peter 14 Ślepaczuk, Robert 14 Corsten, Hans 13 Nuño, Galo 13 Wang, Shouyang 13 Wanke, Peter 13 Giovanis, Eleftherios 12 Haefke, Christian 12 McNelis, Paul D. 12 Mettenheim, Hans-Jörg von 12 Monte, Enric 12 Moutinho, Luiz 12 Franses, Philip Hans 11 Richman, Ronald 11 Sermpinis, Georgios 11
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 19 Society for Computational Economics - SCE 18 IGI Global 14 Erasmus University Rotterdam, Econometric Institute 11 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 11 National Bureau of Economic Research 8 EconWPA 7 School of Economics and Finance, Queen Mary 7 Dipartimento di Scienze Economiche, Matematiche e Statistiche, Dipartimento di Economia 6 Econometrisch Instituut <Rotterdam> 4 Ekonomiska forskningsinstitutet <Stockholm> 4 Queen Mary College / Department of Economics 4 Universität Kaiserslautern / Lehrstuhl für Produktionswirtschaft 4 Bank of Greece 3 Centre of Financial Studies 3 Department of Econometrics and Business Statistics, Monash Business School 3 Department of Economics and Finance Research and Teaching, Institut für Höhere Studien (IHS) 3 Deutsche Bank Research 3 Economics Institute for Research (SIR), Handelshögskolan i Stockholm 3 Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. 3 Erasmus Research Institute of Management (ERIM), Erasmus Universiteit Rotterdam 3 National Institute of Economic and Social Research 3 Pontifícia Universidade Católica do Rio de Janeiro / Departamento de Economia 3 Université Paris-Dauphine (Paris IX) 3 Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 2 Departamento de Economia, Pontifícia Universidade Católica do Rio de Janeiro 2 Departamento de Economía Aplicada, Facultade de Ciencias Económicas e Empresariais 2 Departamento de Estadistica, Universidad Carlos III de Madrid 2 Department of Economics and Business, Universitat Pompeu Fabra 2 Department of Economics, Management School 2 Department of Economics, Oxford University 2 Department of Economics, University of California-San Diego (UCSD) 2 Dipartimento di Informatica e Studi Aziendali, Università degli Studi di Trento 2 Facultat d'Economia i Empresa, Universitat de Barcelona 2 Faculteit Economie en Bedrijfskunde, Universiteit Gent 2 Faculteit Toegepaste Economische Wetenschappen, Universiteit Antwerpen 2 Faculty of Economics, University of Cambridge 2 Gottfried Wilhelm Leibniz Universität Hannover 2 Institut für Höhere Studien 2 International Conference on Computational Intelligence in Communications and Business Analytics <6., 2024, Patna> 2
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Published in...
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International journal of production research 82 International journal of forecasting 78 Computational economics 72 Journal of forecasting 70 Risks : open access journal 48 European journal of operational research : EJOR 47 Physica A: Statistical Mechanics and its Applications 47 Decision analytics journal 44 Journal of risk and financial management : JRFM 39 Quantitative finance 38 Mathematics and Computers in Simulation (MATCOM) 35 Europäische Hochschulschriften / 5 34 Technological forecasting & social change : an international journal 32 Computer Science Preprint Archive 29 Journal of information & knowledge management : JIKM 28 Energy economics 27 Renewable Energy 24 International journal of networking and virtual organisations : IJNVO 23 International journal of business information systems : IJBIS 22 International journal of production economics 22 International Journal of Energy Economics and Policy : IJEEP 20 Computers & operations research : and their applications to problems of world concern ; an international journal 19 Finance research letters 19 MPRA Paper 19 Technology audit and production reserves 19 Working papers 19 Financial innovation : FIN 18 Journal of retailing and consumer services 18 Research in international business and finance 18 Applications of artificial intelligence in finance and economics 16 International journal of productivity and quality management : IJPQM 16 Journal of economic dynamics & control 16 Risks 16 Working paper 16 Discussion paper 15 Discussion paper / Tinbergen Institute 15 Intelligent systems in accounting finance and management : international journal 15 Journal of business research : JBR 15 Journal of econometrics 15 Journal of modelling in management 15
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Source
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ECONIS (ZBW) 4,852 RePEc 545 USB Cologne (EcoSocSci) 143 EconStor 108 Other ZBW resources 89 BASE 30
Showing 1 - 50 of 5,767
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Estimating parameters of structural models using neural networks
Wei, Yanhao; Jiang, Zhenling - In: Marketing science 44 (2025) 1, pp. 102-128
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015197209
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Heterogeneity, climate change, and crop yield distributions : solvency implications for publicly subsidized crop insurance programs
Schuurman, Daniel; Ker, Alan P. - In: American journal of agricultural economics 107 (2025) 1, pp. 248-268
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015166748
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Predicting bank distress in Europe : using machine learning and a novel definition of distress
Malikkidou, Despo; Strohbach, Wolfgang - 2025
This paper develops an early warning system for predicting distress for large European banks. Using a novel definition of distress derived from banks' headroom above regulatory requirements, we investigate the performance of three machine learning techniques against the traditional logistic...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015185208
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Solving economic models with neural networks without backpropagation
Pascal, Julien - 2025
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015357920
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Vice versa : the decoupling of content and topic heterogeneity in collusion research
Schmal, Wolfgang Benedikt - In: Journal of economic surveys 38 (2024) 5, pp. 1686-1730
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015156674
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Statistical properties of deep neural networks with dependent data
Brown, Chad - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015135185
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Predicting mutual fund stress levels utilizing SEBI's stress test parameters in MidCap and SmallCap funds using deep learning models
Maheshwari, Suneel; Naik, Deepak Raghava - In: Risks : open access journal 12 (2024) 11, pp. 1-17
The Association of Mutual Funds of India (AMFI), under the direction of the Securities and Exchange Board of India (SEBI), provided open access to various risk parameters with respect to MidCap and SmallCap funds for the first time from February 2024. Our study utilizes AMFI datasets from...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015135934
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The effectiveness of central bank purchases of long-term treasury securities : a neural network approach
Tänzer, Alina - 2024
Central bank intervention in the form of quantitative easing (QE) during times of low interest rates is a controversial topic. This paper introduces a novel approach to study the effectiveness of such unconventional measures. Using U.S. data on six key financial and macroeconomic variables...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014532350
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Multivariate macroeconomic forecasting : from DSGE and BVAR to artificial neural networks
Tänzer, Alina - 2024
This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools. Specifically, a fully connected feed forward nonlinear autoregressive neural network (ANN) is contrasted to a well established dynamic stochastic general equilibrium (DSGE)...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014532351
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An overview of current issues in automatic text summarization of natural language using artificial intelligence methods
Kuznietsov, Oleksii; Kyselov, Gennadiy - In: Technology audit and production reserves 4 (2024) 2/78, pp. 12-19
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015078637
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Navigating inflation challenges : AI-based portfolio management insights
Bareith, Tibor; Tatay, Tibor; Vancsura, László - In: Risks : open access journal 12 (2024) 3, pp. 1-16
After 2010, the consumer price index fell to a low level in the EU. In the euro area, it remained low between 2010 and 2020. The European Central Bank has even had to take action against the emergence of deflation. The situation changed significantly in 2021. Inflation jumped to levels not seen...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014497442
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Stock picking with machine learning
Wolff, Dominik; Echterling, Fabian - In: Journal of forecasting 43 (2024) 1, pp. 81-102
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014443186
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Inequality and the zero lower bound
Fernández-Villaverde, Jesús; Marbet, Joël; Nuño, Galo; … - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014463793
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NNPF : Neural Network Particle Filter for time series data
Peerlings, Dewi; Brakel, Jan A. van den; Baştürk, Nalan - 2024
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Volatility forecasting with machine learning and intraday commonality
Zhang, Chao; Zhang, Yihuang; Cucuringu, Mihai; Qian, … - In: Journal of financial econometrics 22 (2024) 2, pp. 492-530
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Enhancing literature review with NLP methods algorithmic investment strategies case
Łaniewski, Stanisław; Ślepaczuk, Robert - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015080964
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Deep learning option price movement
Wang, Weiguan; Xu, Jia - In: Risks : open access journal 12 (2024) 6, pp. 1-17
Understanding how price-volume information determines future price movement is important for market makers who frequently place orders on both buy and sell sides, and for traders to split meta-orders to reduce price impact. Given the complex non-linear nature of the problem, we consider the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014636721
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Deep learning for time series forecasting and nowcasting
Ouwehand, Pim; Krieg, Sabine; Willems, Rob - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015071392
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Asset pricing with neural networks : significance tests$f2024n Fallahgoul, Vincentius Franstianto, Xin Lin
Fallahgoul, Hasan; Franstianto, Vincentius; Lin, Xin - In: Journal of econometrics 238 (2024) 1, pp. 1-24
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Managing extreme cryptocurrency volatility in algorithmic trading : EGARCH via genetic algorithms and neural networks
Alaminos, David; Salas, M. Belén; Callejón-Gil, Ángela M. - In: Quantitative finance and economics 8 (2024) 1, pp. 153-209
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015126885
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Neural network learning for nonlinear economies
Ashwin, Julian; Beaudry, Paul; Ellison, Martin - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014855636
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Forecasting value-at-risk using deep neural network quantile regression
Chronopoulos, Ilias; Raftapostolos, Aristeidis; … - In: Journal of financial econometrics 22 (2024) 3, pp. 636-669
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015045167
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Utilisation of deep learning (DL) and neural networks (NN) Algorithms for energy power generation : a social network and bibliometric analysis (2004-2022)
Zaidi, Abdelhamid - In: International Journal of Energy Economics and Policy : IJEEP 14 (2024) 1, pp. 172-183
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014484263
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Solving dynamic portfolio and consumption problems by going forward in time
Ma, Yixuan; Rodrigues, Paulo Jorge Maurício; Schotman, … - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015190396
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Data analysis in demand forecasting : a case study of poetry book sales in the European area
Kolková, Andrea - In: Central European business review : CEBR 13 (2024) 5, pp. 51-69
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A comparison of neural networks and Bayesian MCMC for the Heston model estimation (forget statistics – machine learning is sufficient!)
Witzany, Jiří; Fičura, Milan - 2023
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014338462
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Deep neural network estimation in panel data models
Chronopoulos, Ilias; Chrysikou, Katerina; Kapetanios, George - 2023
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014340051
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Arbitrage-free neural-SDE market models
Cohen, Samuel N.; Reisinger, Christoph; Wang, Sheng - In: Applied mathematical finance 30 (2023) 1, pp. 1-46
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Do artificial neural networks provide improved volatility forecasts : evidence from Asian markets
Sahiner, Mehmet; McMillan, David G.; Kambouroudis, Dimos - In: Journal of economics and finance : JEF 47 (2023) 3, pp. 723-762
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An adversarial approach to structural estimation
Kaji, Tetsuya; Manresa, Elena; Pouliot, Guillaume - In: Econometrica : journal of the Econometric Society, an … 91 (2023) 6, pp. 2041-2063
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014438258
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Forecasting Indian Goods and Services Tax revenue using TBATS, ETS, Neural Networks, and hybrid time series models
Thayyib, P. V.; Thorakkattle, Muhammed Navas; Usmani, Faisal - In: Cogent economics & finance 11 (2023) 2, pp. 1-23
This study focuses on the crucial task of forecasting tax revenue for India, specifically the Goods and Services Tax (GST), which plays a pivotal role in fiscal spending and taxation policymaking. Practically, the GST time series datasets exhibit linear and non-linear fluctuations due to the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014500976
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Whose inflation rates matter most? : a DSGE model and machine learning approach to monetary policy in the Euro area
Stempel, Daniel; Zahner, Johannes - 2023 - This version: May 31, 2023
In the euro area, monetary policy is conducted by a single central bank for 20 member countries. However, countries are heterogeneous in their economic development, including their inflation rates. This paper combines a New Keynesian model and a neural network to assess whether the European...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014299409
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Global inflation: implications for forecasting and monetary policy
Medeiros, Marcelo C.; Montes Schütte, Erik Christian; … - 2023
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014441020
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Historical calibration of SVJD models with deep learning
Fičura, Milan; Witzany, Jiří - 2023
We propose how deep neural networks can be used to calibrate the parameters of Stochastic-Volatility Jump-Diffusion (SVJD) models to historical asset return time series. 1-Dimensional Convolutional Neural Networks (1D-CNN) are used for that purpose. The accuracy of the deep learning approach is...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014444774
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A review of practice of using evolutionary algorithms for neural network synthesis and training
Hirianskyi, Bohdan; Bulakh, Bogdan - In: Technology audit and production reserves 4 (2023) 2/72, pp. 22-26
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The ways of introducing AI/ML-based prediction methods for the improvement of the system of government socio-economic administration in Ukraine
Ivashchenko, Tetiana; Ivashchenko, Andrii; Vasylets, Nelia - In: Verslas : teorija ir praktika : Vilniaus Gedimino … 24 (2023) 2, pp. 522-532
The objective of the article is to develop and test in practice a mechanism for constructing AI/ML-based predictions, adapted for use in the system of government socio-economic administration in Ukraine. Research design is represented by several methods like qualitative analysis in order to...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014502776
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Relaxation and self-supervised machine learning for the hybrid flow shop assignment problem
Tonnius, Annika; Martin, Robert J. - In: Logistics research 16 (2023) 1, pp. 1-16
We present an approximation method for the hybrid flow shop scheduling problem based on relaxation and machine learning techniques. Our model combines a suitable relaxation of the objective function to a continuous solution space with a self-supervised learning method for neural networks, which...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014514881
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Neural networks for estimating macro asset pricing model in football clubs
Alaminos, David; Esteban, Ignacio; Salas, M. Belén - In: Intelligent systems in accounting, finance & management 30 (2023) 2, pp. 57-75
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014325334
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Machine learning applications for the valuation of options on non-liquid option markets
Witzany, Jiří; Fičura, Milan - 2023
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014249520
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Intelligent stock prediction : a neural network approach
Shahrour, Mohamad Hassan; Dekmak, Mostafa - In: International journal of financial engineering 10 (2023) 1, pp. 1-14
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014251199
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Nonlinear inflation forecasting with recurrent neural networks
Almosova, Anna; Andresen, Niek - In: Journal of forecasting 42 (2023) 2, pp. 240-259
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014292150
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Measuring job loss during the pandemic recession in real time with Twitter data
Aizenman, Anbar; Brennan, Connor M.; Cajner, Tomaz; … - 2023
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014284333
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Inequality and the zero lower bound
Fernández-Villaverde, Jesús; Marbet, Joël; Nuño, Galo; … - 2023
This paper studies how household inequality shapes the effects of the zero lower bound (ZLB) on nominal interest rates on aggregate dynamics. To do so, we consider a heterogeneous agent New Keynesian (HANK) model with an occasionally binding ZLB and solve for its fully nonlinear stochastic...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014288300
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Nowcasting unemployment using neural networks and multi-dimensional Google Trends data
Grybauskas, Andrius; Pilinkienė, Vaida; Lukauskas, Mantas - In: Economies : open access journal 11 (2023) 5, pp. 1-23
This article forms an attempt to expand the ability of online search queries to predict initial jobless claims in the United States and further explore the intricacies of Google Trends. In contrast to researchers who used only a small number of search queries or limited themselves to job agency...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014319223
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What does it take to win or lose a soccer game? : A machine learning approach to understand the impact of game and team statistics
Bai, Lu; Gedik, Ridvan; Egilmez, Gokhan - In: Journal of the Operational Research Society 74 (2023) 7, pp. 1690-1711
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014336284
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Predicting bank distress in Europe: Using machine learning and a novel definition of distress
Malikkidou, Despo; Strohbach, Wolfgang - 2025
This paper develops an early warning system for predicting distress for large European banks. Using a novel definition of distress derived from banks' headroom above regulatory requirements, we investigate the performance of three machine learning techniques against the traditional logistic...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015199522
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Thinking with many minds : using large language models for multi-perspective problem-solving
Park, Sanghyun; Maciejovsky, Boris; Puranam, Phanish - 2025
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015191524
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Convolutional neural networks: key components and architectures
Fischer, Manfred M. - 2025
Convolutional Neural Networks (CNNs) are a specialized class of deep neural networks tailored for processing high-dimensional data, excelling in tasks like image classification, object detection, and facial recognition. Their architecture is built on convolutional layers interspersed with...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015193130
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Does money matter for predicting overall prices in Albania? : an analysis with recurrent neural network
Vika, Blerina; Vika, Ilir; Xhaja, Denada - 2025
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015193360
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Enhancing stock price prediction using GANs and transformer-based attention mechanisms
Li, Siyi; Xu, Sijie - In: Empirical economics : a quarterly journal of the … 68 (2025) 1, pp. 373-403
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015193781
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