Journal articles on the topic 'Learning – Econometric models'
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Silahtaroğlu, Yenilmez Oğuz. "Machine Learning Integration in Econometric Models." Next Generation Journal for The Young Researchers 8, no. 1 (2024): 77. http://dx.doi.org/10.62802/8c33p210.
Full textDokumacı, Melis. "AI-Driven Econometric Models for Legal Issues." Human Computer Interaction 8, no. 1 (2024): 137. https://doi.org/10.62802/btfvze98.
Full textKim, Dong-sup, and Seungwoo Shin. "THE ECONOMIC EXPLAINABILITY OF MACHINE LEARNING AND STANDARD ECONOMETRIC MODELS-AN APPLICATION TO THE U.S. MORTGAGE DEFAULT RISK." International Journal of Strategic Property Management 25, no. 5 (2021): 396–412. http://dx.doi.org/10.3846/ijspm.2021.15129.
Full textLiao, Ruofan, Paravee Maneejuk, and Songsak Sriboonchitta. "Beyond Deep Learning: An Econometric Example." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 28, Supp01 (2020): 31–38. http://dx.doi.org/10.1142/s0218488520400036.
Full textSalmon, Timothy C. "An Evaluation of Econometric Models of Adaptive Learning." Econometrica 69, no. 6 (2001): 1597–628. http://dx.doi.org/10.1111/1468-0262.00258.
Full textPérez-Pons, María E., Javier Parra-Dominguez, Sigeru Omatu, Enrique Herrera-Viedma, and Juan Manuel Corchado. "Machine Learning and Traditional Econometric Models: A Systematic Mapping Study." Journal of Artificial Intelligence and Soft Computing Research 12, no. 2 (2021): 79–100. http://dx.doi.org/10.2478/jaiscr-2022-0006.
Full textZapata, Hector O., and Supratik Mukhopadhyay. "A Bibliometric Analysis of Machine Learning Econometrics in Asset Pricing." Journal of Risk and Financial Management 15, no. 11 (2022): 535. http://dx.doi.org/10.3390/jrfm15110535.
Full textAnand, Kumar Dohare, and Abuzaid Mohammad. "Forecasting Stock Prices through Time Series, Econometric, Machine Learning, and Deep Learning Models." International Journal of Engineering and Management Research 14, no. 1 (2024): 77–85. https://doi.org/10.5281/zenodo.10688767.
Full textAthey, Susan, and Guido W. Imbens. "Machine Learning Methods That Economists Should Know About." Annual Review of Economics 11, no. 1 (2019): 685–725. http://dx.doi.org/10.1146/annurev-economics-080217-053433.
Full textBukina, T., and D. Kashin. "Regional Inflation Forecasting: Econometric Models Versus Machine Learning Methods?" Higher School of Economics Economic Journal 28, no. 1 (2024): 81–107. http://dx.doi.org/10.17323/1813-8691-2024-28-1-81-107.
Full textShen, Ze, Qing Wan, and David J. Leatham. "Bitcoin Return Volatility Forecasting: A Comparative Study between GARCH and RNN." Journal of Risk and Financial Management 14, no. 7 (2021): 337. http://dx.doi.org/10.3390/jrfm14070337.
Full textGOUD, KEKKERENI GANESH, and BANDI SHIVARAMA DEEKSHITH. "Forecasting Stock Prices Using Time-Series Analysis, Regression Learning, and Deep Learning Models." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem28956.
Full textFan, Jianqing, Kunpeng Li, and Yuan Liao. "Recent Developments in Factor Models and Applications in Econometric Learning." Annual Review of Financial Economics 13, no. 1 (2021): 401–30. http://dx.doi.org/10.1146/annurev-financial-091420-011735.
Full textЯРОМЕНКО, Н. Н., Р. В. ТКАЧ, Р. Р. ХАБОХОВ, З. Н. СОРОКА, and М. М. РАШИДОВ. "MACHINE LEARNING AS INNOVATION IN ECONOMETRICS." Экономика и предпринимательство, no. 7(168) (August 6, 2024): 1116–19. http://dx.doi.org/10.34925/eip.2024.168.7.222.
Full textIfft, Jennifer, Ryan Kuhns, and Kevin Patrick. "Can machine learning improve prediction – an application with farm survey data." International Food and Agribusiness Management Review 21, no. 8 (2018): 1083–98. http://dx.doi.org/10.22434/ifamr2017.0098.
Full textJia, Fang, and Boli Yang. "Forecasting Volatility of Stock Index: Deep Learning Model with Likelihood-Based Loss Function." Complexity 2021 (February 25, 2021): 1–13. http://dx.doi.org/10.1155/2021/5511802.
Full textDr. Osama Ali, Dr. Surayya Jamal, Fakhra Aslam, Salman Malik, Muhammad Abdul Rehman, and Muhammad Ali. "Empirical Dynamics in Econometrics: Analyzing Behavioral Patterns, Predictive Modeling, and Policy Implications in Economic Data." Critical Review of Social Sciences Studies 3, no. 2 (2025): 753–73. https://doi.org/10.59075/wcde7a13.
Full textDr. Osama Ali, Dr. Surayya Jamal, Fakhra Aslam, Salman Malik, Muhammad Abdul Rehman, and Muhammad Ali. "Empirical Dynamics in Econometrics: Analyzing Behavioral Patterns, Predictive Modeling, and Policy Implications in Economic Data." Critical Review of Social Sciences Studies 3, no. 2 (2025): 753–73. https://doi.org/10.59075/dqyche92.
Full textKONTSEVAYA, NATALIA V., NATALIA V. GRINEVA, SVETLANA S. MIKHAILOVA, and RAMZAN M. BASNUKAEV. "DEMOGRAPHIC PROCESSES IN RUSSIA: A COMPARATIVE ANALYSIS OF PREDICTIVE MODELS." Economic Problems and Legal Practice 21, no. 1 (2025): 195–211. https://doi.org/10.33693/2541-8025-2025-21-1-195-211.
Full textStorm, Hugo, Kathy Baylis, and Thomas Heckelei. "Machine learning in agricultural and applied economics." European Review of Agricultural Economics 47, no. 3 (2019): 849–92. http://dx.doi.org/10.1093/erae/jbz033.
Full textTripathy, Nrusingha, Debahuti Mishra, Sarbeswara Hota, et al. "Bitcoin volatility forecasting: a comparative analysis of conventional econometric models with deep learning models." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 1 (2025): 614. http://dx.doi.org/10.11591/ijece.v15i1.pp614-623.
Full textTripathy, Nrusingha, Debahuti Mishra, Sarbeswara Hota, et al. "Bitcoin volatility forecasting: a comparative analysis of conventional econometric models with deep learning models." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 1 (2025): 614–23. https://doi.org/10.11591/ijece.v15i1.pp614-623.
Full textRondina, Francesca. "An Econometric Learning Approach to Approximate Expectations in Empirical Macro Models." International Advances in Economic Research 23, no. 4 (2017): 437–38. http://dx.doi.org/10.1007/s11294-017-9662-8.
Full textErtuğrul, Hasan Murat, Mustafa Tevfik Kartal, Serpil Kılıç Depren, and Uğur Soytaş. "Determinants of Electricity Prices in Turkey: An Application of Machine Learning and Time Series Models." Energies 15, no. 20 (2022): 7512. http://dx.doi.org/10.3390/en15207512.
Full textMartjanov, Dmytro, Yaroslav Vyklyuk, and Mariya Fleychuk. "Modeling cryptocurrency market dynamics using machine learning tools." System research and information technologies, no. 4 (December 26, 2023): 54–68. http://dx.doi.org/10.20535/srit.2308-8893.2023.4.04.
Full textSoliev, Oybek, and Matekub Bakoev. "ECONOMETRIC ANALYSIS AND FORECASTING OF FDI INFLOWS USING NEURAL NETWORKS (AI)." ACUMEN: INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH 2, no. 5 (2025): 11–17. https://doi.org/10.5281/zenodo.15375134.
Full textChlebus, Marcin, Michał Dyczko, and Michał Woźniak. "Nvidia's Stock Returns Prediction Using Machine Learning Techniques for Time Series Forecasting Problem." Central European Economic Journal 8, no. 55 (2021): 44–62. http://dx.doi.org/10.2478/ceej-2021-0004.
Full textKomal Batool, Mirza Faizan Ahmed, and Muhammad Ali Ismail. "A Hybrid Model of Machine Learning Model and Econometrics’ Model to Predict Volatility of KSE-100 Index." Reviews of Management Sciences 4, no. 1 (2022): 225–39. http://dx.doi.org/10.53909/rms.04.01.0125.
Full textUlussever, Talat, Hasan Murat Ertuğrul, Serpil Kılıç Depren, Mustafa Tevfik Kartal, and Özer Depren. "Estimation of Impacts of Global Factors on World Food Prices: A Comparison of Machine Learning Algorithms and Time Series Econometric Models." Foods 12, no. 4 (2023): 873. http://dx.doi.org/10.3390/foods12040873.
Full textShin, Sun-Youn, and Han-Gyun Woo. "Energy Consumption Forecasting in Korea Using Machine Learning Algorithms." Energies 15, no. 13 (2022): 4880. http://dx.doi.org/10.3390/en15134880.
Full textNi, Zhehan, and Weilun Chen. "A Comparative Analysis of the Application of Machine Learning Algorithms and Econometric Models in Stock Market Prediction." BCP Business & Management 34 (December 14, 2022): 879–90. http://dx.doi.org/10.54691/bcpbm.v34i.3108.
Full textXia, Shaoliang, Zhen Wu, and Qingqing Song. "Scenarios Driving Economic Forecasts: Choosing Econometrics or Machine Learning." Journal of Economic Theory and Business Management 1, no. 2 (2024): 7–26. https://doi.org/10.5281/zenodo.10927145.
Full textDROBYSHEVSKAYA, Larisa N., and Nikita A. DANKOV. "Short-term forecasting of inflation, output of goods and services using machine learning." Finance and Credit 31, no. 1 (2025): 91–112. https://doi.org/10.24891/fc.31.1.91.
Full textZholudeva, Vera V. "Econometric modeling of the higher education system in Yaroslavl region." Open Education 22, no. 4 (2018): 12–20. http://dx.doi.org/10.21686/1818-4243-2018-4-12-20.
Full textMasala, Giovanni, and Amelie Schischke. "Forecasting Wind–Photovoltaic Energy Production and Income with Traditional and ML Techniques." Econometrics 12, no. 4 (2024): 34. http://dx.doi.org/10.3390/econometrics12040034.
Full textAbhijit Biswas, Chandrim Banerjee, Meghdoot Ghosh, Moumita Saha, Saurabh Bakshi, and Anirban Ghosh. "A Comparative Lens on Econometric Standards and Fusion-Based Models." Metallurgical and Materials Engineering 31, no. 3 (2025): 310–25. https://doi.org/10.63278/1372.
Full textJang, H., and J. Lee. "Machine learning versus econometric jump models in predictability and domain adaptability of index options." Physica A: Statistical Mechanics and its Applications 513 (January 2019): 74–86. http://dx.doi.org/10.1016/j.physa.2018.08.091.
Full textAhrens, Achim, Christian B. Hansen, Mark E. Schaffer, and Thomas Wiemann. "ddml: Double/debiased machine learning in Stata." Stata Journal: Promoting communications on statistics and Stata 24, no. 1 (2024): 3–45. http://dx.doi.org/10.1177/1536867x241233641.
Full textGanicheva, Antonina Valerianovna, and Alexey Valerianovich Ganichev. "Modeling of Trajectories of Obtaining and Assimilation of Knowledge." Journal of Pedagogical Innovations, no. 3 (October 16, 2022): 16–24. http://dx.doi.org/10.15293/1812-9463.2203.02.
Full textÖztürk, Cemal. "INTEGRATING ECONOMETRIC AND DEEP LEARNING MODELS FOR ENERGY PRICE PREDICTION: A HYBRID APPROACH USING WEATHER AND MARKET DATA." İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 24, no. 47 (2025): 135–75. https://doi.org/10.55071/ticaretfbd.1578209.
Full textMa, Xiaoya, Mengxiu Li, Jin Tong, and Xiaying Feng. "Deep Learning Combinatorial Models for Intelligent Supply Chain Demand Forecasting." Biomimetics 8, no. 3 (2023): 312. http://dx.doi.org/10.3390/biomimetics8030312.
Full textHlushak, Oksana M., Svetlana O. Semenyaka, Volodymyr V. Proshkin, Stanislav V. Sapozhnykov, and Oksana S. Lytvyn. "The usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects)." CTE Workshop Proceedings 7 (March 20, 2020): 210–24. http://dx.doi.org/10.55056/cte.354.
Full textShaker, Atheel Sabih, Guma Ali, Wamusi Robert, and Habib Hassan. "Deep Learning-Based Neural Network Modeling for Economic Performance Prediction: An Empirical Study on Iraq." EDRAAK 2025 (February 20, 2025): 47–56. https://doi.org/10.70470/edraak/2025/007.
Full textValier, Agostino. "Who performs better? AVMs vs hedonic models." Journal of Property Investment & Finance 38, no. 3 (2020): 213–25. http://dx.doi.org/10.1108/jpif-12-2019-0157.
Full textChenfan Duan, Bin Li,. "Construction and Optimization of Macroeconomic Data Forecasting Model Based on Machine Learning." Journal of Electrical Systems 20, no. 3s (2024): 436–47. http://dx.doi.org/10.52783/jes.1310.
Full textGadhi, Adel Hassan A., Shelton Peiris, and David E. Allen. "Improving Volatility Forecasting: A Study through Hybrid Deep Learning Methods with WGAN." Journal of Risk and Financial Management 17, no. 9 (2024): 380. http://dx.doi.org/10.3390/jrfm17090380.
Full textKufile, Omolola Temitope, Bisayo Oluwatosin Otokiti, Abiodun Yusuf Onifade, Bisi Ogunwale, and Chinelo Harriet Okolo. "Designing Retargeting Optimization Models Based on Predictive Behavioral Triggers." International Journal of Multidisciplinary Research and Growth Evaluation 3, no. 2 (2022): 767–77. https://doi.org/10.54660/.ijmrge.2022.3.2.767-777.
Full textZhang, Gongrun. "Using Machine Learning for Stock Return Prediction." Advances in Economics, Management and Political Sciences 185, no. 1 (2025): 119–26. https://doi.org/10.54254/2754-1169/2025.lh23915.
Full textWang, Shuo. "Machine Learning Approaches to Stock Index Prediction." Advances in Economics, Management and Political Sciences 176, no. 1 (2025): 135–40. https://doi.org/10.54254/2754-1169/2025.22100.
Full textXin, Lee Yong, Chin Wen Cheong, Gloria Teng Ai Hui, and Lim Min. "Gold market risk evaluations using GARCH incorporate with machine learning." Journal of Statistics and Management Systems 27, no. 7 (2024): 1381–91. https://doi.org/10.47974/jsms-1214.
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