Research classified by Journal of Economic Literature (JEL) codes

---

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

2016

• Monika Hadas-Dyduch & Adam P. Balcerzak & Michal Bernard Pietrzak, 2016, "Wavelet Analisis of Unemployment Rate in Visegrad Countries," Chapters, Institute of Economic Research, in: Tomas Kliestik, "16th International Scientific Conference Globalization and Its Socio-Economic Consequences. University of Zilina, The Faculty of Operation and Economi".
• Monika Hadas-Dyduch & Michal Bernard Pietrzak & Adam P. Balcerzak, 2016, "Wavelet Analysis of Unemployment Rate in Visegrad Countries," Working Papers, Institute of Economic Research, number 37/2016, Sep, revised Sep 2016.
• Gawlik, Remigiusz, 2016, "Methodological Aspects of Qualitative-Quantitative Analysis of Decision-Making Processes," MPRA Paper, University Library of Munich, Germany, number 72362, Jun.
• Basihos, Seda, 2016, "Nightlights as a Development Indicator: The Estimation of Gross Provincial Product (GPP) in Turkey," MPRA Paper, University Library of Munich, Germany, number 75553, May, revised 09 Sep 2016.
• Aviral Kumar Tiwari & Rangan Gupta & Stelios Bekiros, 2016, "Chaos in G7 Stock Markets using Over One Century of Data: A Note," Working Papers, University of Pretoria, Department of Economics, number 201678, Oct.
• Peter F. Kaznacheev (Казначеев, Петр) & Regina V. Samoilova (Самойлова, Регина) & Nikola V. Kjurchiski (Курчиски, Никола), 2016, "Improving Efficiency of the Oil and Gas Sector and Other Extractive Industries by Applying Methods of Artificial Intelligence
  [Применение Методов Искусственного Интеллекта Для Повышения Эффективности В Нефтегазовой И Других Сырьевых Отраслях]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, volume 5, pages 188-197, October.
• Loretta Mastroeni & Pierluigi Vellucci, 2016, "“Butterfly Effect" vs Chaos in Energy Futures Markets," Departmental Working Papers of Economics - University 'Roma Tre', Department of Economics - University Roma Tre, number 0209, Oct.
• Chun Wei R. Lin & Yun-Jiuan Melody Parng & Hong-Yi Chen, 2016, "A Fuzzy-Neural Performance Evaluation Approach of Selecting Outsource International Logistic Company," Proceedings of Economics and Finance Conferences, International Institute of Social and Economic Sciences, number 3205849, Mar.
• Şerafettin SEVİM & Birol YILDIZ & Nilüfer DALKILIÇ, 2016, "Risk Assessment for Accounting Professional Liability Insurance," Sosyoekonomi Journal, Sosyoekonomi Society, issue 24(29).
• Ali Babikir & Henry Mwambi, 2016, "Evaluating the combined forecasts of the dynamic factor model and the artificial neural network model using linear and nonlinear combining methods," Empirical Economics, Springer, volume 51, issue 4, pages 1541-1556, December, DOI: 10.1007/s00181-015-1049-1.
• Oscar Claveria & Enric Monte & Salvador Torra, 2016, "Modelling cross-dependencies between Spain’s regional tourism markets with an extension of the Gaussian process regression model," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, volume 7, issue 3, pages 341-357, August, DOI: 10.1007/s13209-016-0144-7.
• Anders Bredahl Kock & Timo Teräsvirta, 2016, "Forecasting Macroeconomic Variables Using Neural Network Models and Three Automated Model Selection Techniques," Econometric Reviews, Taylor & Francis Journals, volume 35, issue 8-10, pages 1753-1779, December, DOI: 10.1080/07474938.2015.1035163.
• Vladyslav Rashkovan & Dmytro Pokidin, 2016, "Ukrainian Banks' Business Models Clustering: Application of Kohonen Neural Networks," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 238, pages 13-38, DOI: 10.26531/vnbu2016.238.013.
• Alberto José Hurtado Briceño, 2016, "Measuring the impact of Mision Alimentacion in Merida by means of fuzzy logic," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, volume 41, issue 42, pages 105-132, july-dece.
• Francis Bismans & Igor N. Litvine, 2016, "Forecasting with Neural Networks Models," Working Papers of BETA, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg, number 2016-28.
• EMAMVERDI, Ghodratollah & KARIMI, Mohammad Sharif & KHAKIE, Sima & KARIMI, Mojtaba, 2016, "Forecasting The Total Index Of Tehran Stock Exchange," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", volume 20, issue 1, pages 54-68.
• Muczyński Andrzej & Walacik Marek, 2016, "Neural Networks Modelling of Municipal Real Estate Market Rent Rates," Folia Oeconomica Stetinensia, Sciendo, volume 16, issue 2, pages 17-28, December, DOI: 10.1515/foli-2016-0022.
• Kaczmarczyk Paweł, 2016, "Integrated Model of Demand for Telephone Services in Terms of Microeconometrics," Folia Oeconomica Stetinensia, Sciendo, volume 16, issue 2, pages 72-83, December, DOI: 10.1515/foli-2016-0026.
• Ćorić, Ivica, 2016, "Comparison of Multivariate Statistical Analysis and Machine Learning Methods in Retailing: Research Framework Proposition," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2016), Rovinj, Croatia, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb, "Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 8-9 September 2016".
• Bilal Zorić, Alisa, 2016, "Determinants of Efficacy of Studying in the Republic Croatia - Comparing Neural Networks and Decision Trees: Research Framework Proposition," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2016), Rovinj, Croatia, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb, "Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 8-9 September 2016".
• Alisa Bilal Zoric, 2016, "Predicting customer churn in banking industry using neural networks," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, volume 14, issue 2, pages 116-124.

2015

• Anne Péguin-Feissolle & Bilel Sanhaji, 2015, "Testing the Constancy of Conditional Correlations in Multivariate GARCH-type Models (Extended Version with Appendix)," AMSE Working Papers, Aix-Marseille School of Economics, France, number 1516, Mar.
• Sihem Khemakhem & Younes Boujelbene, 2015, "Credit Risk Prediction: A Comparative Study between Discriminant Analysis and the Neural Network Approach," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, volume 14, issue 1, pages 60-78, March.
• Aida Krichene Abdelmoula, 2015, "Bank Credit Risk Analysis with K-Nearest-Neighbor Classifier: Case of Tunisian Banks," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, volume 14, issue 1, pages 79-106, March.
• Vesile Sinem Arıkan Kargı, 2015, "A Comparison of Artificial Neural Networks and Multiple Linear Regression Models As Predictors of Discard Rates In Plastic Injection Molding," Alphanumeric Journal, Bahadir Fatih Yildirim, volume 3, issue 2, pages 65-72, December, DOI: http://dx.doi.org/10.17093/aj.2015..
• Oscar Claveria & Enric Monte & Salvador Torra, 2015, "“Multiple-input multiple-output vs. single-input single-output neural network forecasting”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 201502, Jan, revised Jan 2015.
• Oscar Claveria & Enric Monte & Salvador Torra, 2015, "“Effects of removing the trend and the seasonal component on the forecasting performance of artificial neural network techniques”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 201503, Jan, revised Jan 2015.
• Oscar Claveria & Enric Monte & Salvador Torra, 2015, "“Regional Forecasting with Support Vector Regressions: The Case of Spain”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 201506, Jan, revised Jan 2015.
• Oscar Claveria & Enric Monte & Salvador Torra, 2015, "“Self-organizing map analysis of agents’ expectations. Different patterns of anticipation of the 2008 financial crisis”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 201508, Mar, revised Mar 2015.
• Jozef Barunik & Barbora Malinska, 2015, "Forecasting the term structure of crude oil futures prices with neural networks," Papers, arXiv.org, number 1504.04819, Apr.
• Ferdi SONMEZ & Metin ZONTUL & Sahamet BULBUL, 2015, "Estimating Deposit Banks Profitability with Artificial Neural Networks: A Software Model Design," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, volume 9, issue 1, pages 9-46.
• Jasna Soldić-Aleksić & Rade Stankić, 2015, "A Comparative Analysis Of Serbia And The Eu Member States In The Context Of The Networked Readiness Index Values," Economic Annals, Faculty of Economics and Business, University of Belgrade, volume 60, issue 206, pages 45-86, July - Se.
• S Battiston & G di Iasio & L Infante & F Pierobon, 2015, "Capital and contagion in financial networks," IFC Bulletins chapters, Bank for International Settlements, in: Bank for International Settlements, "Indicators to support monetary and financial stability analysis: data sources and statistical methodologies".
• Zekić-Sušac Marijana & Has Adela, 2015, "Data Mining as Support to Knowledge Management in Marketing," Business Systems Research, Sciendo, volume 6, issue 2, pages 18-30, September, DOI: 10.1515/bsrj-2015-0008.
• Margherita Comola & Mariapia Mendola, 2015, "Formation of Migrant Networks," Scandinavian Journal of Economics, Wiley Blackwell, volume 117, issue 2, pages 592-618, April.
• Jonnathan Cáceres Santos, 2015, "Identificación de instituciones financieras sistémicamente importantes en Bolivia a través de la construcción de mapas auto-organizados. Aproximaciones macro y microprudencial," Serie de Documentos de Trabajo, Banco Central de Bolivia, number 2015/01, Oct.
• David Bholat & Stephen Hans & Pedro Santos & Cheryl Schonhardt-Bailey, 2015, "Text mining for central banks," Handbooks, Centre for Central Banking Studies, Bank of England, number 33, April.
• Lorenzo Ductor & Danilo Leiva-Leon, 2015, "Dynamics of Global Business Cycles Interdependence," Working Papers Central Bank of Chile, Central Bank of Chile, number 763, Jul.
• Mihaela GHEORGHE, 2015, "A Support Vector Machine Approach For Developing Telemedicine Solutions: Medical Diagnosis," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 5, pages 43-48, June.
• Gustavo Peralta, 2015, "Network-based Measures as Leading Indicators of Market Instability: The case of the Spanish Stock," CNMV Working Papers, CNMV- Spanish Securities Markets Commission - Research and Statistics Department, number CNMV Working Papers no 59.
• Åžebnem KOLTAN YILMAZ & M. Mustafa YÃœCEL, 2015, "Concrete strength control charts pattern recognition based on Linear Vector Quantization neural networks," Eurasian Eononometrics, Statistics and Emprical Economics Journal, Eurasian Academy Of Sciences, volume 2, issue 2, pages 1-15, February, DOI: 10.17740/eas.stat.2015-V2-01.
• Astebro , Thomas & Akdemir , Canan & Elhedhli , Samir, 2015, "Classification Models Via Tabu Search: An Application to Early Stage Venture Classification," HEC Research Papers Series, HEC Paris, number 1097, Oct.
• Bekiros, Stelios D., 2015, "Heuristic learning in intraday trading under uncertainty," Journal of Empirical Finance, Elsevier, volume 30, issue C, pages 34-49, DOI: 10.1016/j.jempfin.2014.11.002.
• Castelli, Mauro & Vanneschi, Leonardo & De Felice, Matteo, 2015, "Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case," Energy Economics, Elsevier, volume 47, issue C, pages 37-41, DOI: 10.1016/j.eneco.2014.10.009.
• Sánchez Lasheras, Fernando & de Cos Juez, Francisco Javier & Suárez Sánchez, Ana & Krzemień, Alicja & Riesgo Fernández, Pedro, 2015, "Forecasting the COMEX copper spot price by means of neural networks and ARIMA models," Resources Policy, Elsevier, volume 45, issue C, pages 37-43, DOI: 10.1016/j.resourpol.2015.03.004.
• Arundina, Tika & Azmi Omar, Mohd. & Kartiwi, Mira, 2015, "The predictive accuracy of Sukuk ratings; Multinomial Logistic and Neural Network inferences," Pacific-Basin Finance Journal, Elsevier, volume 34, issue C, pages 273-292, DOI: 10.1016/j.pacfin.2015.03.002.
• Khediri, Karim Ben & Charfeddine, Lanouar & Youssef, Slah Ben, 2015, "Islamic versus conventional banks in the GCC countries: A comparative study using classification techniques," Research in International Business and Finance, Elsevier, volume 33, issue C, pages 75-98, DOI: 10.1016/j.ribaf.2014.07.002.
• Allen, D.E. & McAleer, M.J. & Peiris, S. & Singh, A.K., 2015, "Nonlinear time series and neural-network models of exchange rates between the US dollar and major currencies," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2015-33, Nov.
• Antonio Blanco-Oliver & Ana Irimia-Dieguez & María Oliver-Alfonso & Nicholas Wilson, 2015, "Systemic Sovereign Risk and Asset Prices: Evidence from the CDS Market, Stressed European Economies and Nonlinear Causality Tests," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 65, issue 2, pages 144-166, April.
• Jozef Barunik & Barbora Malinska, 2015, "Forecasting the Term Structure of Crude Oil Futures Prices with Neural Networks," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2015/25, Nov, revised Nov 2015.
• Càmara-Turull, X. & Fernández Izquierdo, M.A. & Sorrosal Forradellas, M.T., 2015, "How Do Different Time Spans Affect The Prediction Accuracy Of Business Failure?," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), volume 0, issue 1, pages 71-89, May.
• Margherita Comola & M. Mendola, 2015, "The Formation of Migrant Networks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number hal-00977544, Apr, DOI: 10.1111/sjoe.12093.
• Margherita Comola & M. Mendola, 2015, "The Formation of Migrant Networks," Post-Print, HAL, number hal-00977544, Apr, DOI: 10.1111/sjoe.12093.
• Margherita Comola & M. Mendola, 2015, "The Formation of Migrant Networks," PSE-Ecole d'économie de Paris (Postprint), HAL, number hal-00977544, Apr, DOI: 10.1111/sjoe.12093.
• Samir Elhedhli & Canan Akdemir & Thomas Astebro, 2015, "Classification Models Via Tabu Search: An Application to Early Stage Venture Classification," Working Papers, HAL, number hal-02002758, Jul.
• Anne Péguin-Feissolle & Bilel Sanhaji, 2015, "Testing the Constancy of Conditional Correlations in Multivariate GARCH-type Models (Extended Version with Appendix)," Working Papers, HAL, number halshs-01133751, Mar.
• Green, Rikard, 2015, "A Power Market Forward Curve with Hydrology Dependence An Approach based on Artificial Neural Networks," Knut Wicksell Working Paper Series, Lund University, Knut Wicksell Centre for Financial Studies, number 2015/1, Jan.
• Kasa, Richard, 2015, "Approximating Innovation Potential With Neurofuzzy Robust Model / Aproximación Al Potencial Innovador Con Un Modelo Robusto De Neuro-Fuzzy," Investigaciones Europeas de Dirección y Economía de la Empresa (IEDEE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), volume 21, issue 1, pages 35-46.
• Jitendra Aswani, 2015, "Analyzing the impact of global financial crisis on the interconnectedness of Asian stock markets using network science," Indira Gandhi Institute of Development Research, Mumbai Working Papers, Indira Gandhi Institute of Development Research, Mumbai, India, number 2015-020, Jul.
• Marjolein Fokkema & Niels Smits & Achim Zeileis & Torsten Hothorn & Henk Kelderman, 2015, "Detecting Treatment-Subgroup Interactions in Clustered Data with Generalized Linear Mixed-Effects Model Trees," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2015-10, Sep.
• Oscar Claveria & Enric Monte & Salvador Torra, 2015, "“Multiple-input multiple-output vs. single-input single-output neural network forecasting”," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 201502, Jan, revised Jan 2015.
• Oscar Claveria & Enric Monte & Salvador Torra, 2015, "“Effects of removing the trend and the seasonal component on the forecasting performance of artificial neural network techniques”," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 201503, Jan, revised Jan 2015.
• Oscar Claveria & Enric Monte & Salvador Torra, 2015, "“Regional Forecasting with Support Vector Regressions: The Case of Spain”," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 201507, Jan, revised Jan 2015.
• Oscar Claveria & Enric Monte & Salvador Torra, 2015, "“Self-organizing map analysis of agents' expectations. Different patterns of anticipation of the 2008 financial crisis”," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 201511, Mar, revised Mar 2015.
• Meysam Effati & Jean-Claude Thill & Shahin Shabani, 2015, "Geospatial and machine learning techniques for wicked social science problems: analysis of crash severity on a regional highway corridor," Journal of Geographical Systems, Springer, volume 17, issue 2, pages 107-135, April, DOI: 10.1007/s10109-015-0210-x.
• Ádám Banai & András Kollarik & András Szabó-Solticzky, 2015, "Topology of the foreign currency/forint swap market," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), volume 14, issue 2, pages 28-157.
• Wenyun Tang & Lin Cheng, 2015, "Analyzing Multiday Route Choice Behavior using GPS Data," Working Papers, University of Minnesota: Nexus Research Group, number 000135.
• Goldstone, Robert L., 2015, "Homo Economicus and Homo Sapiens," Review of Behavioral Economics, now publishers, volume 2, issue 1-2, pages 77-87, July, DOI: 10.1561/105.00000019.
• Tomasz Jasinski & Agnieszka Scianowska, 2015, "Security Assessment And Optimization Of Energy Supply (Neural Networks Approach)," Oeconomia Copernicana, Institute of Economic Research, volume 6, issue 2, pages 129-141, June, DOI: 10.12775/OeC.2015.016.
• Kulaksizoglu, Tamer, 2015, "Measuring the Core Inflation in Turkey with the SM-AR Model," MPRA Paper, University Library of Munich, Germany, number 62653, Mar.
• Matkovskyy, Roman & Bouraoui, Taoufik & Hammami, Helmi, 2015, "Estimation and prediction of an Index of Financial Safety of Tunisia," MPRA Paper, University Library of Munich, Germany, number 74573, revised 2016.
• Marcos Álvarez-Díaz & Rangan Gupta, 2015, "Forecasting the US CPI: Does Nonlinearity Matter?," Working Papers, University of Pretoria, Department of Economics, number 201512, Mar.
• Periklis Gogas & Theophilos Papadimitriou & Vasilios Plakandaras & Rangan Gupta, 2015, "The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach," Working Papers, University of Pretoria, Department of Economics, number 201548, Jun.
• Ramaprasad Bhar & A.G. Malliaris & Mary Malliaris, 2015, "Quantitative Easing and the U.S. Stock Market: A Decision Tree Analysis," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, volume 7, issue 2, pages 135-156, December.
• Corina SAMAN, 2015, "Out-Of-Sample Forecasting Performance Of A Robust Neural Exchange Rate Model Of Ron/Usd," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 1, pages 93-106, March.
• Muhamed Kudic & Wilfried Ehrenfeld & Toralf Pusch, 2015, "On the trail of core–periphery patterns in innovation networks: measurements and new empirical findings from the German laser industry," The Annals of Regional Science, Springer;Western Regional Science Association, volume 55, issue 1, pages 187-220, October, DOI: 10.1007/s00168-015-0679-8.
• Shiyi Chen & Kiho Jeong & Wolfgang Härdle, 2015, "Recurrent support vector regression for a non-linear ARMA model with applications to forecasting financial returns," Computational Statistics, Springer, volume 30, issue 3, pages 821-843, September, DOI: 10.1007/s00180-014-0543-9.
• Harun Özkan & M. Yazgan, 2015, "Is forecasting inflation easier under inflation targeting?," Empirical Economics, Springer, volume 48, issue 2, pages 609-626, March, DOI: 10.1007/s00181-013-0793-3.
• David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2015, "Nonlinear Time Series and Neural-Network Models of Exchange Rates between the US Dollar and Major Currencies," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 15-125/III, Nov.
• Kim Ristolainen, 2015, "Were the Scandinavian Banking Crises Predictable? A Neural Network Approach," Discussion Papers, Aboa Centre for Economics, number 99, Jan.
• Dmytro Pokidin, 2015, "National Bank of Ukraine Econometric Model for the Assessment of Banks' Credit Risk and Support Vector Machine Alternative," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 234, pages 52-72, DOI: 10.26531/vnbu2015.234.052.
• Bilal Zorić, Alisa, 2015, "Case Study in Banking Using Neural Networks," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2015), Kotor, Montengero, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb, "Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Kotor, Montengero, 10-11 September 2015".
• Kudic, Muhamed & Ehrenfeld, Wilfried & Pusch, Toralf, 2015, "Isolation and Innovation – Two Contradictory Concepts? Explorative Findings from the German Laser Industry," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 1/2015.
• Kreuchauff, Florian & Korzinov, Vladimir, 2015, "A patent search strategy based on machine learning for the emerging field of service robotics," Working Paper Series in Economics, Karlsruhe Institute of Technology (KIT), Department of Economics and Management, number 71, DOI: 10.5445/IR/1000049790.
• Kephart, Curtis & Friedman, Daniel & Baumer, Matt, 2015, "Emergence of networks and market institutions in a large virtual economy," Discussion Papers, Research Professorship Market Design: Theory and Pragmatics, WZB Berlin Social Science Center, number SP II 2015-502.

2014

• Mary Violeta Bar, 2014, "The Computational Intelligence Techniques For Predictions - Artificial Neural Networks," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, volume 2, issue 42, pages 184-190.
• Miklós Virág & Tamás Nyitrai, 2014, "Is there a trade-off between the predictive power and the interpretability of bankruptcy models? The case of the first Hungarian bankruptcy prediction model," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 64, issue 4, pages 419-440, December.
• Oscar Claveria & Enric Monte & Salvador Torra, 2014, "“A multivariate neural network approach to tourism demand forecasting”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 201410, May, revised May 2014.
• Danilo Leiva-Leon, 2014, "A New Approach to Infer Changes in the Synchronization of Business Cycle Phases," Staff Working Papers, Bank of Canada, number 14-38, DOI: 10.34989/swp-2014-38.
• Zekić-Sušac Marijana & Pfeifer Sanja & Šarlija Nataša, 2014, "A Comparison of Machine Learning Methods in a High-Dimensional Classification Problem," Business Systems Research, Sciendo, volume 5, issue 3, pages 82-96, September, DOI: 10.2478/bsrj-2014-0021.
• David Matesanz & Benno Torgler & Germán Dabat & Guillermo J. Ortega, 2014, "Co-movements in commodity prices: a note based on network analysis," Agricultural Economics, International Association of Agricultural Economists, volume 45, issue S1, pages 13-21, November.
• Julien Boelaert, 2014, "Une seule fonction de demande ?. Une enquête sur la stabilité des préférences par mélanges discrets de réseaux de neurones," Revue économique, Presses de Sciences-Po, volume 65, issue 4, pages 515-535.
• Charle Augusto Londono & Juan Carlos Correa & Mauricio Lopera, 2014, "Estimación bayesiana del valor en riesgo: una aplicación para el mercado de valores colombiano," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID.
• Mauricio Lopera & Ram�n Javier Mesa & Charle Londo�o, 2014, "Evaluando las intervenciones cambiarias en Colombia: 2004-2012," Estudios Gerenciales, Universidad Icesi.
• KRINGS, Gautier M & CARPANTIER, Jean-François & DELVENNE, Jean-Charles, 2014, "Trade integration and trade imbalances in the European Union: a network perspective," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2619, Jan.
• Claveria, Oscar & Torra, Salvador, 2014, "Forecasting tourism demand to Catalonia: Neural networks vs. time series models," Economic Modelling, Elsevier, volume 36, issue C, pages 220-228, DOI: 10.1016/j.econmod.2013.09.024.
• Papadimitriou, Theophilos & Gogas, Periklis & Stathakis, Efthimios, 2014, "Forecasting energy markets using support vector machines," Energy Economics, Elsevier, volume 44, issue C, pages 135-142, DOI: 10.1016/j.eneco.2014.03.017.
• Yu, Lean & Zhao, Yang & Tang, Ling, 2014, "A compressed sensing based AI learning paradigm for crude oil price forecasting," Energy Economics, Elsevier, volume 46, issue C, pages 236-245, DOI: 10.1016/j.eneco.2014.09.019.
• Sermpinis, Georgios & Stasinakis, Charalampos & Dunis, Christian, 2014, "Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 30, issue C, pages 21-54, DOI: 10.1016/j.intfin.2014.01.006.
• Kock, Anders Bredahl & Teräsvirta, Timo, 2014, "Forecasting performances of three automated modelling techniques during the economic crisis 2007–2009," International Journal of Forecasting, Elsevier, volume 30, issue 3, pages 616-631, DOI: 10.1016/j.ijforecast.2013.01.003.
• Abbruzzo, Antonino & Brida, Juan Gabriel & Scuderi, Raffaele, 2014, "Determinants of individual tourist expenditure as a network: Empirical findings from Uruguay," Tourism Management, Elsevier, volume 43, issue C, pages 36-45, DOI: 10.1016/j.tourman.2014.01.014.
• Mahmut ZORTUK & Berna BESER, 2014, "Disa Aciklik ve Demokratik Yapinin Kamu Kesimi Buyuklugu Uzerindeki Etkisi: Rodrik Hipotezine Gecis Ekonomilerinden Kanit," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, volume 14, issue 3, pages 345-359.
• Selahattin YAVUZ & Muhammet DEVECI, 2014, "Bulanik TOPSIS ve Bulanik VIKOR Yontemleriyle Alisveris Merkezi Kurulus Yeri Secimi ve Bir Uygulama," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, volume 14, issue 3, pages 463-479.
• Meltem KARAATLI & Serpil SENAL & Mahmut Sami OZTURK, 2014, "Suleyman Demirel Universitesi, Iktisadi ve Idari Bilimler Fakultesi, Isletme Bolumu," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, volume 14, issue 4, pages 637-648.
• Bozena Bobkova, 2014, "On Estimation of Gravity Equation: A Cluster Analysis," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2014/37, Dec, revised Dec 2014.
• Jasmina ARIFOVIC & Murat YILDIZOGLU, 2014, "Learning the Ramsey outcome in a Kydland & Prescott economy," Cahiers du GREThA (2007-2019), Groupe de Recherche en Economie Théorique et Appliquée (GREThA), number 2014-06.
• Samir Elhedhli & Canan Akdemir & Thomas Astebro, 2014, "Classification models via Tabu search: An application to early stage venture classification," Post-Print, HAL, number hal-01066492, Dec, DOI: 10.1016/j.eswa.2014.07.010.
• Selin Devrim ÖZDEMİR & Işıl AKGÜL, 2014, "Hisse Senedi Piyasalarının Kaotik Yapısı ve Yapay Sinir Ağları ile öngörüsü: IMKB-100 örneği," Iktisat Isletme ve Finans, Bilgesel Yayincilik, volume 29, issue 336, pages 31-58.
• Torsten Hothorn & Achim Zeileis, 2014, "partykit: A Modular Toolkit for Recursive Partytioning in R," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2014-10, Mar.
• Oscar Claveria & Enric Monte & Salvador Torra, 2014, "“A multivariate neural network approach to tourism demand forecasting”," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 201417, May, revised May 2014.
• Comola, Margherita & Mendola, Mariapia, 2014, "The Formation of Migrant Networks," IZA Discussion Papers, IZA Network @ LISER, number 7981, Feb.
• Grubinger, Thomas & Zeileis, Achim & Pfeiffer, Karl-Peter, 2014, "evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R," Journal of Statistical Software, Foundation for Open Access Statistics, volume 61, issue i01, DOI: http://hdl.handle.net/10.18637/jss..
• Elena Olmedo, 2014, "Forecasting Spanish Unemployment Using Near Neighbour and Neural Net Techniques," Computational Economics, Springer;Society for Computational Economics, volume 43, issue 2, pages 183-197, February, DOI: 10.1007/s10614-013-9371-1.
• Gheorghe H. Popescu & Elvira Nica, 2014, "Neuroeconomic Models of Decision-Making," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, volume 6, issue 1, pages 63-66, March.
• Ömer Akgöbek & Emre Yakut, 2014, "Efficiency measurement in Turkish manufacturing sector using Data Envelopment Analysis (DEA) and Artificial Neural Networks (ANN)," Journal of Economic and Financial Studies (JEFS), LAR Center Press, volume 2, issue 3, pages 35-45, June.
• Reinhold Decker, 2014, "Real-Time Analysis of Online Product Reviews by Means of Multi-Layer Feed-Forward Neural Networks," International Journal of Business and Social Research, LAR Center Press, volume 4, issue 11, pages 60-70, November.
• Reinhold Decker, 2014, "Real-Time Analysis of Online Product Reviews by Means of Multi-Layer Feed-Forward Neural Networks," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, volume 4, issue 11, pages 60-70, November.
• Ricardo Figueiredo Summa & Leonardo Macrini, 2014, "Os determinantes da inflação brasileira recente: estimações utilizando redes neurais [Determinants of recent Brazilian inflation: Estimates using neural networks]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), volume 24, issue 2, pages 279-296, May-Augus.
• Dan Farhat, 2014, "Artificial Neural Networks and Aggregate Consumption Patterns in New Zealand:," Working Papers, University of Otago, Department of Economics, number 1404, Mar, revised Mar 2014.
• Dan Farhat, 2014, "Information Processing, Pattern Transmission and Aggregate Consumption Patterns in New Zealand:," Working Papers, University of Otago, Department of Economics, number 1405, Mar, revised Mar 2014.
• Tomasz Jasinski & Agnieszka Scianowska, 2014, "Security Assessment and Optimization of Energy Supply," Working Papers, Institute of Economic Research, number 30/2014, Dec, revised Dec 2014.
• Gautier M Krings & Jean-François Carpantier & Jean-Charles Delvenne, 2014, "Trade Integration and Trade Imbalances in the European Union: A Network Perspective," PLOS ONE, Public Library of Science, volume 9, issue 1, pages 1-14, January, DOI: 10.1371/journal.pone.0083448.
• Mishra, Sudhanshu K, 2014, "What happens if in the principal component analysis the Pearsonian is replaced by the Brownian coefficient of correlation?," MPRA Paper, University Library of Munich, Germany, number 56861, Jun.
• Mishra, SK, 2014, "A note on Poincaré recurrence in Anosov diffeomorphic transformation of discretized outline of some plant leaves," MPRA Paper, University Library of Munich, Germany, number 57594, Jul.
• Gawlik, Remigiusz & Gołębiowski, Kamil, 2014, "Incorporating Qualitative Indicators of Well - Being into Quantitative Economic Research," MPRA Paper, University Library of Munich, Germany, number 58587.
• Gawlik, Remigiusz, 2014, "Application of Artificial Intelligence Methods for Analysis of Material and Non-material Determinants of Functioning of Young Europeans in Times of Crisis in the Eurozone," MPRA Paper, University Library of Munich, Germany, number 62444, revised 2014.
• Alpaslan YARAR & Mustafa ONÜÇYILDIZ & Nuri PEKÇET?N, 2014, "Forecasting The Runoff Data Using Adaptive Neuro Fuzzy Inference Systems (ANFIS)," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 0201599, Jun.
• Oswaldo García Salgado & Arturo Morales Castro, 2014, "Empresas exitosas y no exitosas que cotizan en la BMV del Sector Comercial: Una clasificación con Análisis Discriminante Múltiple, Modelos Logit y Redes Neuronales Artificiales," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, volume 4, issue 1, pages 33-62, enero-jun.
• Manuel Rodríguez & Carlos Piñeiro & Pablo De Llano, 2014, "Determinación del riesgo de fracaso financiero mediante la utilización de modelos paramétricos, de inteligencia artificial, y de información de auditoría," Estudios de Economia, University of Chile, Department of Economics, volume 41, issue 2 Year 20, pages 187-217, December.
• DIMITRIU, Mihail, 2014, "A Point Of View On The Logic Modelling Of The Financial Network," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", volume 18, issue 1, pages 8-19.
• DIMITRIU, Mihail, 2014, "Particularities Of Transfer Channel In The Financial Network Modeling," Journal of Financial and Monetary Economics, Centre of Financial and Monetary Research "Victor Slavescu", volume 1, issue 1, pages 239-243.

2013

• Cagdas Hakan ALADAG & Miruna MAZURENCU MARINESCU, 2013, "Tl/Euro And Leu/Euro Exchange Rates Forecasting With Artificial Neural Network," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, volume 2, issue 2, pages 1-6, DECEMBER.
• Romano, Severino & Cozzi, Mario & Giglio, Paolo & Catullo, Giovanna, 2013, "Post-2013 EU Common Agricultural Policy: predictive models of land use change," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), volume 2, issue 2, pages 1-22, August, DOI: 10.22004/ag.econ.156472.
• Hardle, Wolfgang Karl & Prastyo, Dedy Dwi & Hafner, Christian, 2013, "Support Vector Machines with Evolutionary Feature Selection for Default Prediction," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2013040, Jan.
• Miklós Virag & Tamás Nyitrai, 2013, "Application of support vector machines on the basis of the first Hungarian bankruptcy model," Society and Economy, Akadémiai Kiadó, Hungary, volume 35, issue 2, pages 227-248, August.
• Laura Maria BADEA (STROIE), 2013, "Supporting Management Decisions by Using Artificial Neural Networks for Exchange Rate Prediction," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, volume 12, issue 4, pages 578-594, December.
• Oscar Claveria & Enric Monte & Salvador Torra, 2013, "“Tourism demand forecasting with different neural networks models”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 201313, Nov, revised Nov 2013.
• Daniel Vela, 2013, "Forecasting Latin-American yield curves: An artificial neural network approach," Borradores de Economia, Banco de la Republica de Colombia, number 761, Mar, DOI: 10.32468/be.761.
• Franz Alonso Hamann Salcedo & Rafael Hernández & Luisa Fernanda Silva EScobar & Fernando Tenjo Galarza, 2013, "Credit Pro-cyclicality and Bank Balance Sheet in Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 762, Apr, DOI: 10.32468/be.762.
• Juan Sebastián Amador Torres & José EDuardo Gómez G. & Andrés Murcia Pabón, 2013, "Loans Growth and Banks’ Risk: New Evidence," Borradores de Economia, Banco de la Republica de Colombia, number 763, Apr, DOI: 10.32468/be.763.
• CIOBANU Dumitru & BAR Mary Violeta, 2013, "On The Prediction Of Exchange Rate Dollar/Euro With An Svm Model," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, volume 65, issue 2, pages 91-109.
• Hill Jonathan B., 2013, "Stochastically weighted average conditional moment tests of functional form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 17, issue 2, pages 121-139, April, DOI: 10.1515/snde-2012-0019.
• Antonio Abbruzzo & Juan Gabriel Brida & Raffaele Scuderi, 2013, "Determinants of Individual Tourist Expenditure as a Network: Empirical Findings from Uruguay," BEMPS - Bozen Economics & Management Paper Series, Faculty of Economics and Management at the Free University of Bozen, number BEMPS09, Jun.
• Komsan Suriya, 2013, "Airline market segments after low cost airlines in Thailand: Passengerclassification using Neural Networks and Logit model with selective learning," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, volume 2, issue 4, pages 21-32, December.
• Mauricio Lopera Castano & Ramón Javier Mesa Callejas & Sergio Iván Restrepo Ochoa & Charle Augusto Londono Henao, 2013, "Modelando el esquema de intervenciones del tipo de cambio para Colombia. una aplicación empírica de la técnica de regresión del cuantil bajo redes neu," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID.
• Daniel Vela, 2013, "Forecasting Latin-American yield curves: An artificial neural network approach," Borradores de Economia, Banco de la Republica, number 10502, Feb.
• Franz Alonso Hamann Salcedo & Rafael Hern�ndez & Luisa Fernanda Silva Escobar & Fernando Tenjo Galarza, 2013, "Credit Pro-cyclicality and Bank Balance Sheet in Colombia," Borradores de Economia, Banco de la Republica, number 10695, Apr.
• Juan Sebasti�n Amador Torres & Jos� Eduardo G�mez G. & Andr�s Murcia Pab�n, 2013, "Loans Growth and Banks� Risk: New Evidence," Borradores de Economia, Banco de la Republica, number 10710, Apr.
• Mauricio Lopera C. & Favi�n Gonz�lez & Charle Augusto Londo�o, 2013, "Efectos de la política monetaria sobre la valoración de activos en el mercado accionario colombiano (2004-2012)," Perfil de Coyuntura Económica, Universidad de Antioquia, CIE, issue 22, pages 179-196.
• KRINGS, Gautier M. & CARPANTIER, Jean-François & dELVENNE, Jean-Charles & ,, 2013, "Trade integration and trade imbalances in the European Union: a network perspective," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2013056, Nov.
• JACKSON, Matthew O. & LOPEZ-PINTADO, Dunia, 2013, "Diffusion and contagion in networks with heterogeneous agents and homophily," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2561, Jan.
• Margherita Comola & Mariapia Mendola, 2013, "The Formation of Migrant Networks," Development Working Papers, Centro Studi Luca d'Agliano, University of Milano, number 353, Jun.
• Jackson, Matthew O. & López-Pintado, Dunia, 2013, "Diffusion and contagion in networks with heterogeneous agents and homophily," Network Science, Cambridge University Press, volume 1, issue 1, pages 49-67, April.
• Malte Sundkötter & Daniel Ziegler, 2013, "Perfect Competition vs. Riskaverse Agents: Technology Portfolio Choice in Electricity Markets," EWL Working Papers, University of Duisburg-Essen, Chair for Management Science and Energy Economics, number 1303, Apr, revised Apr 2013.
• Majid Delavari & Nadiya Gandali Alikhani & Esmaeil Naderi, 2013, "Do Dynamic Neural Networks Stand a Better Chance in Fractionally Integrated Process Forecasting?," International Journal of Economics and Financial Issues, Econjournals, volume 3, issue 2, pages 466-475.
• Zhang, Mingzhu & He, Changzheng & Gu, Xin & Liatsis, Panos & Zhu, Bing, 2013, "D-GMDH: A novel inductive modelling approach in the forecasting of the industrial economy," Economic Modelling, Elsevier, volume 30, issue C, pages 514-520, DOI: 10.1016/j.econmod.2012.09.021.
• Dong, Chaohua & Gao, Jiti, 2013, "Solving replication problems in a complete market by orthogonal series expansion," The North American Journal of Economics and Finance, Elsevier, volume 25, issue C, pages 306-317, DOI: 10.1016/j.najef.2012.06.009.
• Pablo de Llano Monelos & Manuel Rodríguez López & Carlos Piñeiro Sánchez, 2013, "Bankruptcy Prediction Models in Galician companies. Application of Parametric Methodologies and Artificial Intelligence," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), volume 0, issue 1, pages 117-136.
• Akçay, Belgin, 2013, "Avro Bölgesi Borç Krizi: GIIPS," EY International Congress on Economics I (EYC2013), October 24-25, 2013, Ankara, Turkey, Ekonomik Yaklasim Association, number 203.
• Anders Bredahl Kock & Timo Teräsvirta, 2013, "Forecasting the Finnish Consumer Price Inflation Using Artificial Neural Network Models and Three Automated Model Selection Techniques," Finnish Economic Papers, Finnish Economic Association, volume 26, issue 1, pages 13-24, Spring.
• Gautier M. Krings & Jean-François Carpantier & Jean-Charles Delvenne, 2013, "Trade integration and trade imbalances in the European Union: a network pespective," Working Papers, HAL, number hal-01821136.
• Gautier M. Krings & Jean-François Carpantier & Jean-Charles Delvenne, 2013, "Trade integration and trade imbalances in the European Union: a network perspective," Working Papers, HAL, number hal-01821137, Nov.
• Gautier M. Krings & Jean-Franccois Carpantier & Jean-Charles Delvenne, 2013, "Trade integration and trade imbalances in the European Union: a network perspective," Working Papers, HAL, number hal-01821141, Sep.
• Linda Margarita Medina Herrera & Ernesto Armando Pacheco Velazquez, 2013, "Spectral Analysis And Networks In Financial Correlation Matrices, Analisis Espectral Y Redes En Matrices De Correlacion Financiera," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, volume 6, issue 6, pages 15-28.
• Patricia Cortez & Paúl Medina, 2013, "Factores determinantes de la migración de los ecuatorianos," Analítika, Analítika - Revista de Análisis Estadístico/Journal of Statistical Analysis, volume 5, issue 1, pages 25-35, Junio.
• Elsy Gómez-Ramos & Francisco Venegas-Martínez, 2013, "A Review of Artificial Neural Networks: How Well Do They Perform in Forecasting Time Series?," Analítika, Analítika - Revista de Análisis Estadístico/Journal of Statistical Analysis, volume 6, issue 2, pages 7-15, Diciembre.
• Oscar Claveria & Enric Monte & Salvador Torra, 2013, "“Tourism demand forecasting with different neural networks models”," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 201321, Nov, revised Nov 2013.
• Gautier M. Krings & Jean-François Carpantier, & Jean-Charles Delvenne, 2013, "Trade integration and trade imbalances in the European Union: a network pespective," DEM Discussion Paper Series, Department of Economics at the University of Luxembourg, number 13-22.
• Julien Boelaert, 2013, "A Neural Network Demand System," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 13081, Dec.
• Núñez Tabales, Julia M. & Caridad y Ocerin, José María & Rey Carmona, Francisco J., 2013, "Artificial Neural Networks for Predicting Real Estate Prices || Redes neuronales artificiales para la predicción de precios inmobiliarios," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 15, issue 1, pages 29-44, June.
• de Rigo, Daniele & Corti, Paolo & Caudullo, Giovanni & McInerney, Daniel & Di Leo, Margherita & San-Miguel-Ayanz, Jesús, 2013, "Toward open science at the European scale: geospatial semantic array programming for integrated environmental modelling," MPRA Paper, University Library of Munich, Germany, number 44194.
• de Rigo, Daniele, 2013, "Software uncertainty in integrated environmental modelling: the role of semantics and open science," MPRA Paper, University Library of Munich, Germany, number 44201.
• Abounoori, Abbas Ali & Naderi, Esmaeil & Gandali Alikhani, Nadiya & Amiri, Ashkan, 2013, "Financial Time Series Forecasting by Developing a Hybrid Intelligent System," MPRA Paper, University Library of Munich, Germany, number 45615, Jan.
• Abounoori, Abbas Ali & Naderi, Esmaeil & Gandali Alikhani, Nadiya & Amiri, Ashkan, 2013, "Financial Time Series Forecasting by Developing a Hybrid Intelligent System," MPRA Paper, University Library of Munich, Germany, number 45860, Jan.
• de Rigo, Daniele, 2013, "Software uncertainty in integrated environmental modelling: the role of semantics and open science," MPRA Paper, University Library of Munich, Germany, number 45960.
• Nazarian, Rafik & Gandali Alikhani, Nadiya & Naderi, Esmaeil & Amiri, Ashkan, 2013, "Forecasting Stock Market Volatility: A Forecast Combination Approach," MPRA Paper, University Library of Munich, Germany, number 46786, Mar.
• Gawlik, Remigiusz, 2013, "Material and Non-material Determinants of European Youth's Life Quality," MPRA Paper, University Library of Munich, Germany, number 48065, Jun.
• di Iasio, Giovanni & Battiston, Stefano & Infante, Luigi & Pierobon, Federico, 2013, "Capital and Contagion in Financial Networks," MPRA Paper, University Library of Munich, Germany, number 52141, Dec.
• Leiva-Leon, Danilo, 2013, "A New Approach to Infer Changes in the Synchronization of Business Cycle Phases," MPRA Paper, University Library of Munich, Germany, number 54452, Jun.
• Oancea, Bogdan & Dragoescu, Raluca & Ciucu, Stefan, 2013, "Predicting students’ results in higher education using a neural network," MPRA Paper, University Library of Munich, Germany, number 72041, Apr.
• Maninderpal Singh Saini & Gyewon Moon, 2013, "Social Networking Sites: A premise on enhancement," Journal of Internet Banking and Commerce, Nahum Goldmann, volume 18, issue 3, pages 01-15.
• Lin, Fengyi & Yeh, Ching Chiang & Lee, Meng Yuan, 2013, "A Hybrid Business Failure Prediction Model Using Locally Linear Embedding And Support Vector Machines," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 1, pages 82-97, March.
• Valentyn Panchenko & Sergiy Gerasymchuk & Oleg V. Pavlov, 2013, "Asset Price Dynamics with Heterogeneous Beliefs and Local Network Interactions," Discussion Papers, School of Economics, The University of New South Wales, number 2013-18, Jun.
• Tae-Hwy Lee & Zhou Xi & Ru Zhang, 2013, "Testing for Neglected Nonlinearity Using Regularized Artificial Neural Networks," Working Papers, University of California at Riverside, Department of Economics, number 201422, Sep, revised Apr 2012.
• Jakub Nowotarski & Jakub Tomczyk & Rafal Weron, 2013, "Modeling and forecasting of the long-term seasonal component of the EEX and Nord Pool spot prices," HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number HSC/13/02, Feb.
• Montagna, Mattia & Kok, Christoffer, 2013, "Multi-layered interbank model for assessing systemic risk," Kiel Working Papers, Kiel Institute for the World Economy, number 1873.