Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ C: Mathematical and Quantitative Methods
/ / C4: Econometric and Statistical Methods: Special Topics
/ / / C45: Neural Networks and Related Topics

2000

• Bernard Chartier & Thomas Spillane, 2000, "Money Laundering Detection with a Neural-Network," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 10, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".
• Bill Edisbury & Roger England & Stewart Hanson, 2000, "Utilising Fuzzy Logic and Neurofuzzy for Business Advantage," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 11, "Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications".

1999

• Greg Tkacz & Sarah Hu, 1999, "Forecasting GDP Growth Using Artificial Neural Networks," Staff Working Papers, Bank of Canada, number 99-3, DOI: 10.34989/swp-1999-3.
• Benoit Perron, 2002, "Semi-Parametric Weak Instrument Regressions with an Application to the Risk-Return Trade-off," CIRANO Working Papers, CIRANO, number 2002s-88, Nov.
• Bolgot, S. & Terraza, M., 1999, "Prevision des prix a terme du cacao et modeles ARMA non-lineaires," G.R.E.Q.A.M., Universite Aix-Marseille III, number 99b02.
• Ghattas, B., 1999, "Previsions par arbres de classification," G.R.E.Q.A.M., Universite Aix-Marseille III, number 99b03.
• Ghattas, B., 1999, "Previsions des pics d'ozone par arbres de regression, simples et agreges par bootstrap," G.R.E.Q.A.M., Universite Aix-Marseille III, number 99b04.
• Ghattas, B., 1999, "Agregation d'arbres de classification," G.R.E.Q.A.M., Universite Aix-Marseille III, number 99b05.
• Lakhal, S. & Martel, A. & Poulin, D., 1999, "Vers un cadre theorique de l'entreprise reseau," Papers, Laval - Faculte des sciences de administration, number 1999-4.
• Oral, M. & Poulin, D. & Kettani, O., 1999, "Mondialisation, Competition, Reseautage et Decision Collective," Papers, Laval - Faculte des sciences de administration, number 1999-6.
• Cottrell, M. & Turova, T.S., 1999, "Use of an Hourglass Model in Neuronal Coding," Papiers d'Economie Mathématique et Applications, Université Panthéon-Sorbonne (Paris 1), number 1999-24.
• Robert Pereira, 1999, "Forecasting Ability but No Profitability: an Empirical Evaluation of Genetic Algorithm-Optimized Technical Trading Rules," Working Papers, School of Economics, La Trobe University, number 1999.06.
• PERRON, Benoît, 1999, "Semi-Parametric Weak Instrument Regressions with an Application to the Risk-Return Trade-off," Cahiers de recherche, Universite de Montreal, Departement de sciences economiques, number 9901.
• Pereira, Robert, 1999, "Forecasting Ability But No Profitability: An Empirical Evaluation of Genetic Algorithm-optimised Technical Trading Rules," MPRA Paper, University Library of Munich, Germany, number 9055.
• André Monteiro D'Almeida Monteiro & Dionísio Dias Carneiro & Carlos Eduardo Pedreira, 1999, "The application of clustering analysis to international private indebtedness," Textos para discussão, Department of Economics PUC-Rio (Brazil), number 412, Dec.
• Manfred M. Fischer & Katerina Hlavácková-Schindler & Martin Reismann, 1999, "articles: A global search procedure for parameter estimation in neural spatial interaction modelling," Papers in Regional Science, Springer;Regional Science Association International, volume 78, issue 2, pages 119-134.
• Robert Pereira, 1999, "Forecasting Ability but No Profitability: an Empirical Evaluation of Genetic Algorithm-Optimized Technical Trading Rules," Working Papers, School of Economics, La Trobe University, number 1999.06.
• Gottschling, Andreas & Haefke, Christian & White, Halbert, 1999, "Closed form integration of artificial neural networks with some applications," Research Notes, Deutsche Bank Research, number 99-9.

1998

• Täppinen, Jan, 1998, "Interest Rate Forecasting with Neural Networks," Discussion Papers, VATT Institute for Economic Research, number 170.
• Bolgot, S. & Meyfredi, J.-C., 1998, "Reseaux de neurones, lissage de la fonction d'actualisation et prevision des OAT demembrees: une etude empirique," G.R.E.Q.A.M., Universite Aix-Marseille III, number 98b04.
• Ma, C.-t.A. & McGuirem T.G., 1998, "Network Incentives in Managed Health Care," Papers, Boston University - Department of Economics, number 94.
• Ching-to Albert Ma & Thomas G. McGuire, 1998, "Network Incentives in Managed Health Care," Papers, Boston University - Industry Studies Programme, number 0094, Oct.
• Andreou, Andreas S. & Zombanakis, George A. & Georgopoulos, E. F. & Likothanassis, S. D., 1998, "Forecasting Exchange-Rates via Local Approximation Methods and Neural Networks," MPRA Paper, University Library of Munich, Germany, number 17764, Dec.
• Fischer, Manfred M. & Staufer, Petra, 1998, "Optimization in an Error Backpropagation Neural Network Environment with a Performance Test on a Pattern Classification Problem," MPRA Paper, University Library of Munich, Germany, number 77810.
• Thomas de Graaff & Raymond J.G.M. Florax & Peter Nijkamp & Aura Reggiani, 1998, "Diagnostic Tools for Nonlinearity in Spatial Models," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 98-072/3, Jul.

1997

• Barnett, William A. & Gallant, A. Ronald & Hinich, Melvin J. & Jungeilges, Jochen A. & Kaplan, Daniel T. & Jensen, Mark J., 1997, "A single-blind controlled competition among tests for nonlinearity and chaos," Journal of Econometrics, Elsevier, volume 82, issue 1, pages 157-192.
• Fourneau, J.-M. & Pekergin, N. & Verchere, D., 1997, "Reseaux generalises multiclasses avec synchronisations cycliques," Papiers d'Economie Mathématique et Applications, Université Panthéon-Sorbonne (Paris 1), number 97.77.
• Heinemann, Maik & Lange, Carsten, 1997, "Modellierung von Preiserwartungen durch neuronale Netze," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-203, Apr.
• Heinemann, Maik, 1997, "Convergence of Adaptive Learning and the Concept of Expectational Stability in Linear Rational Expectations Models with Multiple Equilibria," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-207, Sep.
• Jackwerth, Jens Carsten, 1997, "Artificial Stupidity: A Reply," MPRA Paper, University Library of Munich, Germany, number 11636.
• P. Korhonen & G.Y. Yu, 1997, "Quadratic Pareto Race," Working Papers, International Institute for Applied Systems Analysis, number ir97058, Sep.

1996

• Hill, R.J., 1996, "Measuring Inflation Using Spanning Trees," Papers, New South Wales - School of Economics, number 96/26.

1995

• Haefke, Christian & Helmenstein, Christian, 1995, "Forecasting Austrian IPOs: An Application of Linear and Neural Network Error-Correction Models," Economics Series, Institute for Advanced Studies, number 18, Dec.
• Haefke, Christian & Helmenstein, Christian, 1995, "Prediction Risk and the Forecasting of Stock Market Indexes," Economics Series, Institute for Advanced Studies, number 20, Dec.
• Haefke, Christian & Helmenstein, Christian, 1995, "Forecasting Stock Market Averages to Enhance Profitable Trading Strategies," Economics Series, Institute for Advanced Studies, number 21, Dec.
• Fischer, Manfred M. & Gopal, Sucharita & Staufer, Petra & Steinnocher, Klaus, 1995, "Evaluation of Neural Pattern Classifiers for a Remote Sensing Application," MPRA Paper, University Library of Munich, Germany, number 77811.
• Wojtek Kowalczyk & Rafal Weron, 1995, "Analysis of ROBECO data by neural networks," HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number HSC/95/02.

1994

• Fischer, Manfred M. & Gopal, Sucharita, 1994, "Artificial Neural Networks. A New Approach to Modelling Interregional Telecommunication Flows," MPRA Paper, University Library of Munich, Germany, number 77822.

1993

• Douglas Holtz-Eakin & David Joulfaian & Harvey S. Rosen, 1993, "The Carnegie Conjecture: Some Empirical Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, volume 108, issue 2, pages 413-435.

1992

• Douglas Holtz-Eakin & David Joulfaian & Harvey S. Rosen, 1992, "The Carnegie Conjecture: Some Empirical Evidence," NBER Working Papers, National Bureau of Economic Research, Inc, number 4118, Jul.
• Fischer, Manfred M., 1992, "Expert Systems and Artificial Neural Networks for Spatial Analysis and Modelling. Essential Components for Knowledge-Based Geographical Information Systems," MPRA Paper, University Library of Munich, Germany, number 77818.
• Douglas Holtz-Eakin & David Joulfaian & Harvey S. Rosen, 1992, "The Carnegie Conjecture: Some Empirical Evidence," Working Papers, Princeton University, Department of Economics, Industrial Relations Section., number 682, Mar.

0

• Gautier M. Krings & Jean-Franc{c}ois Carpantier & Jean-Charles Delvenne, 2013, "Trade integration and trade imbalances in the European Union: a network perspective," Papers, arXiv.org, number 1309.4156, Sep.
• Martha López P., 2003, "Efficient Policy Rule for Inflation Targeting in Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 240, May, DOI: 10.32468/be.240.
• José Mauricio Salazar Sáenz, 2009, "Evaluación de pronóstico de una red neuronal sobre el PIB en Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 575, Oct, DOI: 10.32468/be.575.
• Camilo Serrano & Martin Hoesli, 2007, "Forecasting EREIT Returns," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 07-35, Oct.
• J.B. Satinover & D. Sornette, 2008, "Anomalous Returns in a Neural Network Equity-Ranking Predictor," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 08-15, Jul.
• Wanfeng YAN & Ryan WOODARD & Didier SORNETTE, 2010, "Diagnosis and Prediction of Market Rebounds in Financial Markets," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 10-15, Mar.
• PREMINGER, Arie & FRANCK, Raphael, 2007, "Forecasting exchange rates: a robust regression approach," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 1917, Jan, DOI: 10.1016/j.ijforecast.2006.04.009.
• HOOGERHEIDE, Lennart F. & KAASHOEK, Johan F. & van DIJK, Herman K., 2007, "On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 1922, Jan, DOI: 10.1016/j.jeconom.2006.06.009.
• Weidong Lin & Abderrahim Taamouti, 2023, "Enhancing Portfolio Resilience to Systemic Risk: A Neural Network Approach," Working Papers, University of Liverpool, Department of Economics, number 202311.
• Fahmida E. Moula & Chi Guotai & Mohammad Zoynul Abedin, 2017, "Credit default prediction modeling: an application of support vector machine," Risk Management, Palgrave Macmillan, volume 19, issue 2, pages 158-187, May, DOI: 10.1057/s41283-017-0016-x.
• Franz Fuerst & Gianluca Marcato, undated, "Re-thinking Commercial Real Estate Market Segmentation," Real Estate & Planning Working Papers, Henley Business School, University of Reading, number rep-wp2010-12.
• Guido Fioretti, undated, "Recognizing Investment Opportunities at the Onset of Recoveries," Modeling, Computing, and Mastering Complexity 2003, Society for Computational Economics, number 07.
• Christian Haefke & Christian Helmenstein, undated, "Forecasting Stock Market Averages to Enhance Profitable Trading Strategies," Computing in Economics and Finance 1996, Society for Computational Economics, number _023.
• Suela Vasil & Armela Maxhelaku, 0, "Artificial Intelligence and Application Domains in FinTech," Proceedings of Economics and Finance Conferences, International Institute of Social and Economic Sciences, number 15817211.
• Yunus Emre Gür & Abdunnur Yıldız & Emre Ünal, 0, "Advanced AI Models for Future Forecasting of Budget Expenditures via Machine Learning and Deep Learning," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, volume 0, issue 0, pages 1-36.
• Patrick Leoni & Pietro Senesi, undated, "Existence and Global Attractivity of Stable Solutions in Neural Networks," IEW - Working Papers, Institute for Empirical Research in Economics - University of Zurich, number 198.

None

• Penalva Jose & Ryall Michael D, 2008, "Empirical Implications of Information Structure in Finite Extensive Form Games," The B.E. Journal of Theoretical Economics, De Gruyter, volume 8, issue 1, pages 1-49, January, DOI: 10.2202/1935-1704.1362.
• Copic Jernej & Jackson Matthew O. & Kirman Alan, 2009, "Identifying Community Structures from Network Data via Maximum Likelihood Methods," The B.E. Journal of Theoretical Economics, De Gruyter, volume 9, issue 1, pages 1-40, September, DOI: 10.2202/1935-1704.1523.
• Granger Clive W.J., 2008, "Non-Linear Models: Where Do We Go Next - Time Varying Parameter Models?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 12, issue 3, pages 1-11, September, DOI: 10.2202/1558-3708.1639.
• Kapetanios George, 2003, "Bootstrap Neural Network Cointegration Tests Against Nonlinear Alternative Hypotheses," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 7, issue 2, pages 1-16, July, DOI: 10.2202/1558-3708.1099.
• Jagric Timotej, 2003, "A Nonlinear Approach to Forecasting with Leading Economic Indicators," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 7, issue 2, pages 1-20, July, DOI: 10.2202/1558-3708.1135.
• Small Michael & Tse Chi K., 2003, "Determinism in Financial Time Series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 7, issue 3, pages 1-31, October, DOI: 10.2202/1558-3708.1134.
• de Peretti Christian & Siani Carole, 2004, "Neural Tests for Conditional Heteroskedasticity in ARCH-M Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 8, issue 3, pages 1-24, September, DOI: 10.2202/1558-3708.1239.
• Paola L. Montero Ledezma & Joaquín Morales Belpiare, 2020, "Estado del arte de las prioridades para la juventud boliviana con mira a las metas de los ODS para el 2030," SDSN Bolivia, Universidad Privada Boliviana, number 08-20, Aug.