Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting

2025

• Marie-Catherine Bieri, 2025, "Assessing economic sentiment with newspaper text indices: evidence from Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, volume 161, issue 1, pages 1-60, December, DOI: 10.1186/s41937-025-00139-4.
• Lukman A. Lasisi & Franklin N. Ngwu & Mohammed K. Taliat & Abeeb O. Olaniran & Kelechi C. Nnamdi, 2025, "Modelling commodity market volatility with climate policy uncertainty: a GARCH-MIDAS approach," SN Business & Economics, Springer, volume 5, issue 3, pages 1-21, March, DOI: 10.1007/s43546-025-00792-0.
• Saqib Muneer & Cristiana Cerqueira Leal & Benilde Oliveira, 2025, "Analyzing Volatility Patterns of Bitcoin Using the GARCH Family Models," SN Operations Research Forum, Springer, volume 6, issue 2, pages 1-13, June, DOI: 10.1007/s43069-025-00482-5.
• Tomáš Cejpek & Petra Mrázová & Ekaterina Chytilová & Michal Ruschak, 2025, "Value creation in business: current trends and future perspectives of economic research," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, volume 13, issue 1, pages 358-372, September, DOI: 10.9770/d8582284867.
• Alexandra Kechrinioti & Dimitrios Karamanis, 2025, "The Greek-Turkish Rivalry: A Bayesian VAR Approach," Defence and Peace Economics, Taylor & Francis Journals, volume 36, issue 3, pages 395-410, April, DOI: 10.1080/10242694.2024.2371760.
• Kubra Bolukbas & Ertan Tok, 2025, "Machine Learning Applications in Credit Risk Prediction," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2508.
• Altug Aydemir & Cem Cebi, 2025, "Forecasting Budgetary Items in Türkiye Using Deep Learning," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2509.
• Marina Friedrich & Karim Moussa & Yuliya Shapovalova & David van der Straten, 2025, "Forecasting Atmospheric Ethane: Application to the Jungfraujoch Measurement Station," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 25-025/III, Apr.
• Jan Magnus & Andrey L. Vasnev, 2025, "More information, less precision: meta-analysis through random effects," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 25-048/III, Aug.
• Gordon Anderson, 2025, "On Transiting to a Sustainable World Population: Lessons from an Overlapping Generations Model on the associated Problems, Prospects and Time Horizons," Working Papers, University of Toronto, Department of Economics, number tecipa-797, Mar.
• Abbas, Yasser & Daouia, Abdelaati & Nemouchi, Boutheina & Stupfler, Gilles, 2025, "Tail expectile-VaR estimation in the semiparametric Generalized Pareto model," TSE Working Papers, Toulouse School of Economics (TSE), number 25-1607, Jan.
• Tae-Hwy Lee & Daanish Padha, 2025, "Forecasting Using Supervised Factors and Idiosyncratic Elements," Working Papers, University of California at Riverside, Department of Economics, number 202502, Jan.
• Tae-Hwy Lee & Tao Wang, 2025, "Estimation and Testing of Forecast Rationality with Many Moments," Working Papers, University of California at Riverside, Department of Economics, number 202508, Jul.
• Emmanouil SOFIANOS & Thierry BETTI & Emmanouil Theophilos PAPADIMITRIOU & Amélie BARBIER-GAUCHARD & Periklis GOGAS, 2025, "Using DSGE and Machine Learning to Forecast Public Debt for France," Working Papers of BETA, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg, number 2025-18.
• William A. Brock & J. Isaac Miller, 2025, "Polar Amplification Helps Forecast Northern Temperature Anomalies," Working Papers, Department of Economics, University of Missouri, number 2502, Feb.
• Vladimir Asriyan & Alexandre Kohlhas, 2025, "The macroeconomics of data: Scale, product choice, and pricing in the information age," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1904, Mar.
• Diana Barro & Marco Corazza & Gianni Filograsso, 2025, "Tracking-Based Green Portfolio Optimization: Bridging Sustainability and Market Performance," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2025: 21.
• Diana Barro & Antonella Basso & Marco Corazza & Guglielmo Alessandro Visentin, 2025, "A Neural Network-VAR for Long-Term Forecasting: An Application to Monetary Policy Effects in the Euro Area," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2025: 24.
• Ardelia L. Amardana & Diana Barro & Marco Corazza, 2025, "Sustainability in LSTM Price Prediction for Portfolio Optimization in the European Market," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2025: 25.
• ANGHEL, Bogdan Ionut, 2025, "Forecasting Stock Market Liquidity With Machine Learning: An Empirical Evaluation In The German Market," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", volume 29, issue 2, pages 34-47, June.
• CHANNOUFI, Sabrine, 2025, "Assessment Of The Exchange Rate Risk Exposure In Tunisia'S External Public Debt Portfolio: A Delta-Normal Var Approach In The Context Of Sustainable Finance Development," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", volume 29, issue 3, pages 6-29, September.
• Ergenç Cansu & Aktaş Rafet, 2025, "Sector-specific financial forecasting with machine learning algorithm and SHAP interaction values," Financial Internet Quarterly (formerly e-Finanse), Sciendo, volume 21, issue 1, pages 42-66, DOI: 10.2478/fiqf-2025-0004.
• Kowerski Mieczysław & Sioma Tomasz, 2025, "Uncertainty as a determinant of dividend decisions of public companies during the COVID-19 pandemic. The case of companies listed on the Warsaw Stock Exchange," Financial Internet Quarterly (formerly e-Finanse), Sciendo, volume 21, issue 4, pages 1-15, DOI: 10.2478/fiqf-2025-0023.
• Kulyk Mariia & Boiko Margaryta & Shpykyliak Oleksandr & Shelenko Diana & Horbatiuk Oleksandr, 2025, "Forecasting Scenario of the Investment Attractiveness of the Hotel Business in Rural Areas: Cases for Ukraine," Management Theory and Studies for Rural Business and Infrastructure Development, Sciendo, volume 47, issue 3, pages 444-458, DOI: 10.15544/mts.2025.36.
• Cellmer Radosław & Kobylińska Katarzyna, 2025, "Housing Price Prediction - Machine Learning and Geostatistical Methods," Real Estate Management and Valuation, Sciendo, volume 33, issue 1, pages 1-10, DOI: 10.2478/remav-2025-0001.
• Ergenç Cansu & Aktaş Rafet, 2025, "A Supervised Machine Learning in Financial Forecasting: Identifying Effective Models for the BIST100 Index," Review of Economic Perspectives, Sciendo, volume 25, issue 1, pages 66-90, DOI: 10.2478/revecp-2025-0005.
• Simionescu Mihaela & Strielkowski Wadim, 2025, "The Impact of Brexit on Unemployment In The United Kingdom Using Synthetic Control Method," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, volume 35, issue 2, pages 38-64, DOI: 10.2478/sues-2025-0007.
• Popescu Liviu & Găman Mirela, 2025, "Forecasts on the Imports of Goods and Services in Emerging Economies of the European Union," Timisoara Journal of Economics and Business, Sciendo, volume 18, issue 1, pages 39-72, DOI: 10.2478/tjeb-2025-0003.
• Jędrzej Maskiewicz & Paweł Sakowski, 2025, "Can Artificial Intelligence Trade the Stock Market?," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2025-14.
• Zofia Bracha & Jakub Michańków & Paweł Sakowski, 2025, "Application of Deep Reinforcement Learning to At-the-Money S&P 500 Options Hedging," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2025-25.
• Jakub Bandurski & Eliza Hałatek & Adam Łaziński & Michał Künstler, 2025, "Is smooth Energiewende possible? Improving the performance of climate policies in Germany by optimizing the risk of electricity delivery," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2025-30.
• Robert Stehrer & Stella Sophie Zilian, 2025, "Beschäftigungswirkungen der österreichischen Exportwirtschaft und demografische Szenarien," wiiw Research Reports in German language, The Vienna Institute for International Economic Studies, wiiw, number 30, Jan.
• Tarek Jouini, 2025, "Consistent boundaries for the one-step-ahead forecast error criterion and the AIC in vector autoregressions," Working Papers, University of Windsor, Department of Economics, number 2506, Dec.
• Simon Tranberg Bodilsen & Asger Lunde, 2025, "Exploiting News Analytics for Volatility Forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 40, issue 1, pages 18-36, January, DOI: 10.1002/jae.3095.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2025, "Specification Choices in Quantile Regression for Empirical Macroeconomics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 40, issue 1, pages 57-73, January, DOI: 10.1002/jae.3099.
• Florian Eckert & Philipp Kronenberg & Heiner Mikosch & Stefan Neuwirth, 2025, "Tracking Economic Activity With Alternative High‐Frequency Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 40, issue 3, pages 270-290, April, DOI: 10.1002/jae.3104.
• Malte Knüppel & Andreea L. Vladu, 2025, "Approximating Fixed‐Horizon Forecasts Using Fixed‐Event Forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 40, issue 4, pages 359-379, June, DOI: 10.1002/jae.3114.
• Christian Conrad & Robert F. Engle, 2025, "Modelling Volatility Cycles: The MF2‐GARCH Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 40, issue 4, pages 438-454, June, DOI: 10.1002/jae.3118.
• Daan Opschoor & Dick van Dijk, 2025, "Slow Expectation–Maximization Convergence in Low‐Noise Dynamic Factor Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 40, issue 7, pages 829-845, November, DOI: 10.1002/jae.70007.
• Emile du Plessis & Ulrich Fritsche, 2025, "New forecasting methods for an old problem: Predicting 147 years of systemic financial crises," Journal of Forecasting, John Wiley & Sons, Ltd., volume 44, issue 1, pages 3-40, January, DOI: 10.1002/for.3184.
• Afees A. S alisu & Wenting Liao & Rangan Gupta & Oguzhan Cepni, 2025, "Economic Conditions and Predictability of US Stock Returns Volatility: Local Factor Versus National Factor in a GARCH‐MIDAS Model," Journal of Forecasting, John Wiley & Sons, Ltd., volume 44, issue 4, pages 1441-1466, July, DOI: 10.1002/for.3251.
• Xin Jing & Jin Seo Cho, 2025, "Forecasting the Confirmed COVID‐19 Cases Using Modal Regression," Journal of Forecasting, John Wiley & Sons, Ltd., volume 44, issue 4, pages 1578-1601, July, DOI: 10.1002/for.3261.
• Stavros Degiannakis & Panagiotis Delis & George Filis & George Giannopoulos, 2025, "Trading VIX on Volatility Forecasts: Another Volatility Puzzle?," Journal of Forecasting, John Wiley & Sons, Ltd., volume 44, issue 4, pages 1602-1618, July, DOI: 10.1002/for.3257.
• Amy Y. Guisinger & Michael W. Mccracken & Michael T. Owyang, 2025, "Reconsidering the Fed's Inflation Forecasting Advantage," Journal of Money, Credit and Banking, Blackwell Publishing, volume 57, issue 1, pages 5-30, February, DOI: 10.1111/jmcb.13155.
• Vitaly Meursault & Daniel Moulton & Larry Santucci & Nathan Schor, 2025, "One threshold doesn't fit all: Tailoring machine learning predictions of consumer default for lower‐income areas," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., volume 44, issue 3, pages 792-815, June, DOI: 10.1002/pam.22662.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2025, "Forecasting with shadow rate VARs," Quantitative Economics, Econometric Society, volume 16, issue 3, pages 795-822, July, DOI: 10.3982/QE2547.
• Zongxin Li & Yongchang Hui & Wing-Keung Wong & Ruiyue Lin, 2025, "Portfolio Selection Based on Mean-Generalized Variance Analysis: Evidence from the G20 Stock Markets," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., volume 42, issue 03, pages 1-24, June, DOI: 10.1142/S0217595924500167.
• Bingzi Jin & Xiaojie Xu, 2025, "Bayesian Gaussian Process Predictions of Chongqing Carbon Market Prices," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., volume 27, issue 04, pages 1-43, September, DOI: 10.1142/S1464333225500139.
• Tam Phan Huy & Tuyet Pham Hong & An Bui Nguyen Quoc, 2025, "Leveraging Tree-based Machine Learning for Predicting Earnings Management," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., volume 16, issue 02, pages 1-20, June, DOI: 10.1142/S1793993325500085.
• Saira Yamin & Saqib Gulzar, 2025, "Multiples And Stock Price, New Approach For Relative Valuation Through Neural Network," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., volume 70, issue 04, pages 953-971, June, DOI: 10.1142/S0217590820480045.
• Pierre Perron, 2025, "Econometrics Volume 2:Topics for Time Series and Large Panel Data," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 14247, ISBN: ARRAY(0x85f85470).
• Kian Guan Lim, 2025, "Machine Learning in Business Finance using Python," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 14271, ISBN: ARRAY(0x86a70fd8).
• Robert Stehrer & Stella Zilian, 2025, "Beschäftigungswirkungen der österreichischen Exportwirtschaft und demografische Szenarien," FIW Research Reports series, FIW, number RR-01-25-, Jan.
• Fontana, S.; & Guccio, C.; & Pignataro, G.; & Vidoli, F.;, 2025, "Better Politicians, Fewer Deaths? Municipal Resilience in Overcoming the Pandemic Crisis in Italy," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York, number 25/06, Jul.
• Verona, Fabio, 2025, "From waves to rates: Enhancing inflation forecasts through combinations of frequency-domain models," Bank of Finland Research Discussion Papers, Bank of Finland, number 1/2025.
• Juvonen, Petteri & Lindblad, Annika, 2025, "Nowcasting in real time: Large Bayesian vector autoregression in a test," Bank of Finland Research Discussion Papers, Bank of Finland, number 6/2025.
• Juvonen, Petteri & Sariola, Mikko, 2025, "DSGE model meets data gently: The importance of trend modelling," Bank of Finland Research Discussion Papers, Bank of Finland, number 9/2025.
• Mokinski, Frieder & Roth, Markus, 2025, "Forecasting with log-linear (S)VAR models: Incorporating annual growth rate conditions," Discussion Papers, Deutsche Bundesbank, number 35/2025, DOI: 10.71734/DP-2025-35.
• Plaasch, Jannick & Röthig, Andreas, 2025, "A growth-at-risk model for the German economy," Technical Papers, Deutsche Bundesbank, number 05/2025.
• Käfer, Niclas & Mörke, Mathis & Weigert, Florian & Wiest, Tobias, 2025, "A Bayesian stochastic discount factor for the cross-section of individual equity options," CFR Working Papers, University of Cologne, Centre for Financial Research (CFR), number 25-01.
• Li, Mengheng & Mendieta-Munoz, Ivan, 2025, "Unpacking trend inflation: Evidence from a factor correlated unobserved components model of sticky and flexible prices," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 320299.
• Heinisch, Katja & Scaramella, Fabio & Schult, Christoph, 2025, "Assumption errors and forecast accuracy: A partial linear instrumental variable and double machine learning approach," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 6/2025, DOI: 10.18717/dprpy3-ff77.
• Garnier, Félix, 2025, "Satisfying human needs at low material footprints: An investigation on the role of provisioning systems," Working Paper Series, Post-Growth Economics Network (PEN), number 05/2025.
• Centorrino, Samuele & Diakantoni, Antonia & Keck, Alexander & Ruta, Michele & Sztajerowska, Monika & Wei, Yuting, 2025, "Measuring global trade policy activity," WTO Staff Working Papers, World Trade Organization (WTO), Economic Research and Statistics Division, number ERSD-2025-07.
• Hassan Zada & Naveed Khan & Kai-Yin Woo & Sana Gaied Chortane, 2025, "Asset Pricing: A Comparative Analysis of Fama-French Five-Factor with Human Capital-Based Six-Factor Model," Advances in Decision Sciences, Asia University, Taiwan, volume 29, issue 4, pages 1-37.
• Adedeji Gbadebo, 2025, "Stock Price Forecasting Using a Time-Series Long Short-Term Memory Model," Finance, Accounting and Business Analysis, University of National and World Economy, Institute for Economics and Politics, volume 7, issue 2, pages 304-322, December.
• Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2025, "Asymmetric Roles of Macroeconomic Variables in the Real Exchange Rate: Insights from U.S.-Korea Data," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2025-01, Jan.
• Ahmet Akusta, 2025, "Predicting Market Sensitivity: The Role of Board Structure in the Beta Coefficient of Software Companies on the Nasdaq Global Select Market," Journal of Finance Letters (Maliye ve Finans Yazıları), Maliye ve Finans Yazıları Yayıncılık Ltd. Şti., volume 40, issue 123, pages 14-34, April, DOI: https://doi.org/10.33203/mfy.159699.
• İlknur Yeşim Dinçel Kıratoğlu, 2025, "Forecasting of Türkiye's 2030 CO₂ Emission Target Using The Holt–Winters Exponential Smoothing Model," Journal of Finance Letters (Maliye ve Finans Yazıları), Maliye ve Finans Yazıları Yayıncılık Ltd. Şti., volume 40, issue Special3, pages 109-127, December, DOI: https://doi.org/10.33203/mfy.183421.
• Gary Cornwall & Marina Gindelsky, 2025, "Nowcasting Distributional National Accounts for the United States: A Machine Learning Approach," AEA Papers and Proceedings, American Economic Association, volume 115, pages 79-84, May, DOI: 10.1257/pandp.20251105.
• Jian Zhang & Jianzhou Wen & Zhen Lu & Jiang Qian & Ning Wei, 2025, "Investment Allocation Method for Distribution Networks Based on a Panel Data Model and an Incentive–Penalty Mechanism," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 27, issue 69, pages 656-656, April.
• Mihail Busu & Mihai Gheorghe & Gabriel Staicu & Enrico Prinz & Luis Miguel Fonseca, 2025, "Determinants of Uneven Progress in Sustainable Development in the EU: Predictive Approaches Based on Machine Learning," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 27, issue S19, pages 1272-1272, November.
• Bastianin, Andrea & Li, Xiao & Shamsudin, Luqman, 2025, "Forecasting the Volatility of Energy Transition Metals," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 349169, Jan, DOI: 10.22004/ag.econ.349169.
• Yash Chawla & Katarzyna Chojnacka & Michal Paca & Anna Pudelko & Rafal Weron & Przemyslaw Zaleski, 2025, "Cost-benefit analysis of a municipal waste management project: Using a survey of professional forecasters to provide reliable projections until 2035," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/25/01.
• Arkadiusz Lipiecki & Rafal Weron, 2025, "PostForecasts.jl: A Julia package for probabilistic forecasting by postprocessing point predictions," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/25/02.
• Jieyu Chen & Sebastian Lerch & Melanie Schienle & Tomasz Serafin & Rafal Weron, 2025, "Probabilistic intraday electricity price forecasting using generative machine learning," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/25/05.
• Arkadiusz Lipiecki & Kaja Bilinska & Nikolaos Kourentzes & Rafal Weron, 2025, "Stealing accuracy: Predicting day-ahead electricity prices with Temporal Hierarchy Forecasting (THieF)," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/25/06.
• Hasan ŞENGÜLER & Berat KARA, 2025, "Forecasting the Inflation for Budget Forecasters: An Analysis of ANN Model Performance in Türkiye," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue 1, pages 58-91, DOI: https://doi.org/10.30784/epfad.1588.
• Merve Mert Sarıtaş & Mert Ural, 2025, "Bir Makine Öğrenimi Uygulaması: G7 Ülkelerinde Finansal Kriz Tahminleme," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue 2, pages 781-804, DOI: 10.30784/epfad.1643262.
• Yunus Emre Akdoğan, 2025, "The Role of Financial Indicators in the Prediction of Voluntary Carbon Disclosure: A Comparative Analysis with Machine Learning Methods," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue 3, pages 949-970, DOI: 10.30784/epfad.1651693.
• Çiğdem Yerli, 2025, "Evaluating the Impact of ESG and Decarbonization Metrics on Stock Price Prediction," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue SI, pages 252-274, DOI: 10.30784/epfad.1669184.
• Zeynep Çolak, 2025, "The Role of Financial Markets in Predicting BIST Sustainability Index Performance: New Evidence from Hybrid Machine Learning Models," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue SI, pages 383-402, DOI: 10.30784/epfad.1813752.
• Yunus Emre Gür & Ahmet İhsan Şimşek & Emre Bulut, 2025, "Artificial Intelligence-Assisted Machine Learning Methods For Forecasting Green Bond Index: A Comparative Analysis," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 9, issue 4, pages 628-655, DOI: https://doi.org/10.30784/epfad.1495.
• Savaş Gayaker, 2025, "Türkiye'de Ekonomik Şoklar ve Krizler Bağlamında Enflasyon Öngörüsü: XGBOOST ve ARMA Yöntemlerinin Karşılaştırması," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 9, issue 4, pages 877-895, DOI: https://doi.org/10.30784/epfad.1560.
• Lizzie Marcel & Natacha Liseras, 2025, "The informatization of Partido de Gral. Pueyrredon’s industry: Firm-level evidence for the 2018-2023 period," Revista de Economía Política de Buenos Aires, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET), volume 19, issue 30, pages 9-39, June, DOI: https://doi.org/10.56503/repba.Nro..
• Alexey Litvinenko & Anna Litvinenko & Samuli Saarinen, 2025, "Applying Forecasting Methods to Accrual-Based and Cash-Based Ratio Analysis," Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, volume 24, issue 2, pages 328-360, June.
• Жузбаев А. // Zhuzbayev А. & Сейдахметова Б. // Seidakhmetova B. & Шамар Б. // Shamar B. & Толегенова Ж. // Tolegenova Zh., 2025, "Инфляция – всегда и везде монетарный феномен: миф или реальность Казахстана? // Inflation – a Monetary Phenomenon Always and Everywhere: a Myth or Reality for Kazakhstan?," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 1-7.
• Жузбаев Адам // Zhuzbayev Adam & Сейдахметова Баян // Seidakhmetova Bayan & Шамар Бауыржан // Shamar Bauyrzhan & Толегенова Жибек // Tolegenova Zhibek, 2025, "Инфляция - Всегда И Везде Монетарный Феномен: Миф Или Реальность Казахстана?," Working Papers, National Bank of Kazakhstan, number #2025-1.
• Rodrigo García Arancibia & Ignacio Girela & Daniela Agostina Gonzalez, 2025, "Global Multidimensional Poverty Prediction using World Development Indicators," Working Papers, Red Nacional de Investigadores en Economía (RedNIE), number 350, Jan.
• Jonathan Garita-Garita & César Ulate-Sancho, 2025, "Forecasting Nominal Exchange Rate using Deep Neural Networks," Documentos de Trabajo, Banco Central de Costa Rica, number 2505, Jul.
• Nwabisa Florence Ndzama, 2025, "Assessing the ability of output gap estimates to forecast inflation in emerging countries," Russian Journal of Economics, ARPHA Platform, volume 11, issue 2, pages 144-167, June, DOI: 10.32609/j.ruje.11.126000.
• Andrea Bastianin & Xiao Li & Luqman Shamsudin, 2025, "Forecasting the Volatility of Energy Transition Metals," Papers, arXiv.org, number 2501.16069, Jan, revised Jan 2025.
• Oriol Gonz'alez-Casas'us & Frank Schorfheide, 2025, "Misspecification-Robust Shrinkage and Selection for VAR Forecasts and IRFs," Papers, arXiv.org, number 2502.03693, Feb.
• Arkadiusz Lipiecki & Kaja Bilinska & Nicolaos Kourentzes & Rafal Weron, 2025, "Stealing Accuracy: Predicting Day-ahead Electricity Prices with Temporal Hierarchy Forecasting (THieF)," Papers, arXiv.org, number 2508.11372, Aug, revised Mar 2026.
• Nicolas Hardy & Dimitris Korobilis, 2025, "Learning from crises: A new class of time-varying parameter VARs with observable adaptation," Papers, arXiv.org, number 2512.03763, Dec.
• Ming Gu & David Hirshleifer & Siew Hong Teoh & Shijia Wu, 2025, "GIFfluence: A Visual Approach to Investor Sentiment and the Stock Market," Papers, arXiv.org, number 2512.20027, Dec.
• Hamzat Salami & Cletus Usman Idoko & Idris Ahmed Sani, 2025, "Predicting Students’ Academic Outcome in Econometrics: A Comparative Analysis between Traditional and Machine Learning Methods," Journal of Economic Sciences, Federal Urdu University Islamabad, Department of Economics, volume 4, issue 2, pages 98-109, December, DOI: 10.55603/jes.v4i2.a6.
• Daniela Bobeva-Filipova & Emil Panusheff & Nedialko Nestorov & Atanas Pavlov, 2025, "US Tariff Changes and Bulgaria's Presence in Global Value Chains," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 411-426.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2025, "Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 25-04, May, revised May 2025.
• BBVA Research & Alvaro Ortiz & Tomasa Rodrigo, 2025, "Global | Geopolítica, geoeconomía y riesgo: un enfoque basado en aprendizaje automático
  [Global | Geopolitics, geoeconomics and risk: a machine learning approach]," Working Papers, BBVA Bank, Economic Research Department, number 25/14, Oct.
• Omar Abdelrahman & David Chen & Cameron MacDonald & Adi Mordel & Guillaume Ouellet Leblanc, 2025, "Simulating the Resilience of the Canadian Banking Sector Under Stress: An Update of the Bank of Canada’s Top-Down Solvency Assessment Tool," Technical Reports, Bank of Canada, number 128, DOI: 10.34989/tr-128.
• Francois-Michel Boire & Thibaut Duprey & Alexander Ueberfeldt, 2025, "Financial Shocks and the Output Growth Distribution," Staff Working Papers, Bank of Canada, number 25-25, Sep, DOI: 10.34989/swp-2025-25.
• Stéphane Surprenant, 2025, "Quantile VARs and Macroeconomic Risk Forecasting," Staff Working Papers, Bank of Canada, number 25-4, Jan, DOI: 10.34989/swp-2025-4.
• Bob Kaempff & David Kremer, 2025, "Using machine learning to aggregate apartment prices: Comparing the performance of different Luxembourg indices," BCL working papers, Central Bank of Luxembourg, number 194, Feb.
• Toth Nagy Csaba & Tamas Koller, 2025, "Application of neural networks in vehicle simulation as a substitute for driver models," Cognitive Sustainability, Cognitive Sustainability Ltd., volume 4, issue 2, pages 4-9, June, DOI: 10.55343/CogSust.142.
• Fatih KAZANCI, 2025, "The Possible Impact of the Islamic Window Model on the Market Share of Participation Banking: An ARIMA–Monte Carlo Simulation Analysis," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, volume 19, issue 2, pages 222-241.
• Lucía Cuadro-Sáez & Corinna Ghirelli & Maximiliano Moreno-López & Javier J. Pérez, 2025, "Monitoring and forecasting food prices in the euro area," Occasional Papers, Banco de España, number 2521, Oct, DOI: https://doi.org/10.53479/41245.
• Matteo Mogliani & Florens Odendahl, 2025, "Density forecast transformations," Working Papers, Banco de España, number 2511, Feb, DOI: https://doi.org/10.53479/38959.
• Corinna Ghirelli & Javier J. Pérez & Daniel Santabárbara, 2025, "Inflation and growth forecast errors and the sacrifice ratio of monetary policy in the euro area," Working Papers, Banco de España, number 2516, Mar, DOI: https://doi.org/10.53479/39441.
• Pablo Garcia & Pascal Jacquinot & Crt Lenarcic & Kostas Mavromatis & Niki Papadopoulou & Edgar Silgado-Gómez, 2025, "Green transition in the Euro area: domestic and global factors," Working Papers, Banco de España, number 2537, Oct, DOI: https://doi.org/10.53479/40866.
• Giuseppe Cascarino & Federica Ciocchetta & Stefano Pietrosanti & Ivan Quaglia, 2025, "Forecasting corporate default probabilities: a local logit approach for scenario analysis," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 909, Feb.
• Valentina Aprigliano & Francesco Corsello, 2025, "Underlying Composite Inflation (UCI): a novel indicator to track inflation developments," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 928, Apr.
• Felipe Roldán-Ferrín & Julián A. Parra-Polania, 2025, "Enhancing inflation nowcasting with online search data: a random forest application for Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 1318, Jul, DOI: 10.32468/be.1318.
• César Anzola Bravo & Paola Poveda, 2025, "Forecasting Disaggregated Food Inflation Baskets in Colombia with an XGBoost Model," Borradores de Economia, Banco de la Republica de Colombia, number 1335, Dec, DOI: 10.32468/be.1335.
• Stéphane Lhuissier, 2025, "Assessing Asymmetric Macroeconomic Risk," Working papers, Banque de France, number 1004.
• Matteo Mogliani & Florens Odendahl, 2025, "Density Forecast Transformations," Working papers, Banque de France, number 1027.
• Alexander Kohlhas & Vladimir Asriyan, 2025, "The Macroeconomics of Data: Scale, Product Choice, and Pricing in the Information Age," Working Papers, Barcelona School of Economics, number 1486, Apr.
• Inaki Aldasoro & Peter Hördahl & Andreas Schrimpf & Sonya Zhu, 2025, "Predicting financial market stress with machine learning," BIS Working Papers, Bank for International Settlements, number 1250, Mar.
• Alberto Americo & Douglas Kiarelly Godoy de Araujo & Johannes Damp & Sjur Nilsen & Daniel Rees & Rafael Schmidt & Christian Schmieder, 2025, "Inflation cycles: evidence from international data," BIS Working Papers, Bank for International Settlements, number 1264, Apr.
• Anton Ilichov, 2025, "Problems of the efficiency of the functioning of the market of passenger transportation services in the conditions of the stateof war: identification and ways of overcoming," Economic Synergy, Higher Educational Institution Academician Yuriy Bugay International Scientific & Technical University, issue 1, pages 212-225, DOI: 10.53920/ES-2025-1-16.
• Elizaveta Volgina, 2025, "Forecasting Inflation Using News Indices," Russian Journal of Money and Finance, Bank of Russia, volume 84, issue 1, pages 26-59, March.
• Oleg Kryzhanovskiy & Anastasia Mogilat & Zhanna Shuvalova & Dmitry Gvozdev, 2025, "Using LSTM Neural Networks for Nowcasting and Forecasting GVA of Industrial Sectors," Russian Journal of Money and Finance, Bank of Russia, volume 84, issue 1, pages 93-104, March.
• Alexander Eliseev, 2025, "Nowcasting Russian GDP in a Mixed-Frequency DSGE Model with a Panel of Non-Modelled Variables," Russian Journal of Money and Finance, Bank of Russia, volume 84, issue 3, pages 63-93, September.
• Anastasia Pankratova, 2025, "Application of MF-PVAR Model for Nowcasting Gross Regional Products in Russia," Russian Journal of Money and Finance, Bank of Russia, volume 84, issue 4, pages 47-62, December.
• Urmat Dzhunkeev, 2025, "MOSES: Macroeconomic Forecasting with Models and Sentiment Synthesis," Russian Journal of Money and Finance, Bank of Russia, volume 84, issue 4, pages 63-84, December.
• Alexander Eliseev, 2025, "Nowcasting Russian GDP in a mixed-frequency DSGE model with a panel of non-modelled variables," Bank of Russia Working Paper Series, Bank of Russia, number wps145, Feb.
• Afees A. Salisu & Ahamuefula E. Ogbonna & Rangan Gupta & Sisa Shiba, 2025, "Energy Market Uncertainties and Gold Return Volatility: A GARCH–MIDAS Approach," Australian Economic Papers, Wiley Blackwell, volume 64, issue 3, pages 320-329, September, DOI: 10.1111/1467-8454.12396.
• Luke Hartigan & Tom Rosewall, 2025, "Nowcasting Quarterly GDP Growth During the COVID‐19 Crisis Using a Monthly Activity Indicator," The Economic Record, The Economic Society of Australia, volume 101, issue 335, pages 456-484, December, DOI: 10.1111/1475-4932.70000.
• Artur Silva Lopes, 2025, "Assessing Income Convergence with a Long‐run Forecasting Approach: Some New Results," Review of Income and Wealth, International Association for Research in Income and Wealth, volume 71, issue 1, February, DOI: 10.1111/roiw.12702.
• Yang, Zhang & Jianxiong Lin & Yihe Qian & Lianjie Shu, 2025, "Machine learning and financial inclusion: Evidence from credit risk assessment of small-business loans in China," Working Papers, University of Macau, Faculty of Business Administration, number 202532, Jun.
• Tom Doan, 2025, "MATHESON_STAVREV_EL2013: RATS programs to replicate Matheson-Stavrev(2013) non-linear state-space model," Statistical Software Components, Boston College Department of Economics, number RTZ00216, revised .
• Tom Doan, 2025, "SKALIN_TERASVIRTA_JAE1999: RATS program to replicate Skalin and Terasvirta(1999) STAR models and causality tests," Statistical Software Components, Boston College Department of Economics, number RTZ00230, revised .
• Tom Doan, 2025, "WEST_CHO_JOE1995: RATS program to replicate West and Cho(1995) analysis of GARCH models," Statistical Software Components, Boston College Department of Economics, number RTZ00233, revised .
• Stavros Degiannakis & Eleftheria Kafousaki, 2025, "Disaggregating VIX," Working Papers, Bank of Greece, number 335, Jan, DOI: 10.52903/wp2025335.
• Stavros Degiannakis & Panagiotis Delis & George Filis & George Giannopoulos, 2025, "Trading VIX on volatility forecasts: another volatility puzzle?," Working Papers, Bank of Greece, number 336, Feb, DOI: 10.52903/wp2025336.
• Dimitrios Papaoikonomou, 2025, "Stochastic debt sustainability analysis: a methodological note," Working Papers, Bank of Greece, number 338, Mar, DOI: 10.52903/wp2025338.
• Panagiotis Delis & Stavros Degiannakis & George Filis, 2025, "Navigating crude oil volatility forecasts: assessing the contribution of geopolitical risk," Working Papers, Bank of Greece, number 342, May, DOI: 10.52903/wp2025342.
• Georgios Angelopoulos & Zacharias Bragoudakis & Dimitrios Dimitriou & Alexandros Tsioutsios, 2025, "A new proposal for forecasting inflation in the eurozone. A global model," Working Papers, Bank of Greece, number 350, Oct, DOI: 10.52903/wp2025350.
• Shunsuke Haba & Kimihiko Izawa & Yui Kishaba & Yusuke Takahashi & Shunichi Yoneyama, 2025, "Measuring Policy Effects since the Introduction of Quantitative and Qualitative Monetary Easing (QQE): An Analysis Using the Macroeconomic Model Q-JEM," Bank of Japan Working Paper Series, Bank of Japan, number 25-E-2, Feb.
• Ichiro Fukunaga & Yui Kishaba & Nao Shibata & Shunichi Yoneyama, 2025, "Uncertainty in the Formation of Inflation Expectations in Japan: An Analysis Using the Macroeconomic Model Q-JEM," Bank of Japan Working Paper Series, Bank of Japan, number 25-E-3, Feb.
• Klaus Adam & Pei Kuang & Shihan Xie, 2025, "Overconfidence in Private Information Explains Biases in Professional Forecasts," CRC TR 224 Discussion Paper Series, University of Bonn and University of Mannheim, Germany, number crctr224_2025_617, Jan.
• Orujov Samir & Elvira Victor & Poterie Audrey & Rajabov Farid & Septier Francois, 2025, "VS-LTGARCHX: A Flexible Variable Selection in Log-TGARCHX Models," Journal of Time Series Econometrics, De Gruyter, volume 17, issue 1, pages 1-34, DOI: 10.1515/jtse-2023-0035.
• Mattera Raffaele, 2025, "Forecasting High-Dimensional Portfolios," Journal of Time Series Econometrics, De Gruyter, volume 17, issue 1, pages 35-67, DOI: 10.1515/jtse-2023-0011.
• Herculano Miguel C. & Jacob Punnoose, 2025, "Financial Condition Indices in an Incomplete Data Environment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 29, issue 1, pages 19-38, DOI: 10.1515/snde-2022-0115.
• Gupta Rangan & Sun Xiaojin, 2025, "Time-Varying Parameter Four-Equation DSGE Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 29, issue 2, pages 235-246, DOI: 10.1515/snde-2023-0010.
• Gkillas Konstantinos & Tantoula Maria & Tzagarakis Manolis, 2025, "Heterogeneity, Jumps and Co-Movements in Transmission of Volatility Spillovers Among Cryptocurrencies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 29, issue 5, pages 621-649, DOI: 10.1515/snde-2023-0088.
• Goulet Coulombe Philippe, 2025, "To Bag is to Prune," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 29, issue 6, pages 669-697, DOI: 10.1515/snde-2023-0030.
• Hafner, C. M. & Linton, O. B. & Wang, L., 2025, "Multivariate AutoRegressive Smooth Liquidity (MARSLiQ)," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2569, Oct.
• Bachmair, K. & Schmitz, N., 2025, "Forecasting Macro with Finance," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2574, Nov.
• Congressional Budget Office, 2025, "The Accuracy of CBO’s Budget Projections for Fiscal Year 2024," Reports, Congressional Budget Office, number 60885, Jan.
• Congressional Budget Office, 2025, "CBO's Economic Forecasting Record: 2025 Update," Reports, Congressional Budget Office, number 61334, Jul.
• Maximilian Langer & Joshua Hassib & Lars P. Feld & Daniel Nientiedt, 2025, "Evaluating the Effects of the German Debt Brake: A Synthetic Control Approach," CESifo Working Paper Series, CESifo, number 11933.
• Christian Conrad & Zeno Enders & Gernot Müller, 2025, "Inflation Forecast Targeting Revisited," CESifo Working Paper Series, CESifo, number 12006.
• Stefan Sauer & Klaus Wohlrabe, 2025, "Explaining Business Sentiment: Insights from the ifo Business Survey," CESifo Working Paper Series, CESifo, number 12007.
• Bryan T. Kelly & Semyon Malamud & Emil Siriwardane & Hongyu Wu, 2025, "Behavioral Impulse Responses," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-04, Jan.
• MD Nazmul Ahsan & Jean-Marie Dufour & Gabriel Rodriguez, 2025, "Modèles de volatilité stochastique à haute dimension: applications à l’incertitude macroéconomique au Québec et au Canada," CIRANO Project Reports, CIRANO, number 2025rp-19, Sep.
• Etienne Briand & Massimiliano Marcellino & Dalibor Stevanovic, 2025, "Inflation, Attention and Expectations," CIRANO Working Papers, CIRANO, number 2025s-01, Jan.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2025, "Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables," CIRANO Working Papers, CIRANO, number 2025s-15, May.
• Oxana Babecka Kucharcukova & Jan Bruha & Petr Sterba, 2025, "Web Reviews as a New Leading Indicator for Nowcasting Travel Expenditure in Balance of Payments Statistics," Working Papers, Czech National Bank, Research and Statistics Department, number 2025/13, Nov.
• Sona Benecka, 2025, "Forecasting Disaggregated Producer Prices: A Fusion of Machine Learning and Econometric Techniques," Working Papers, Czech National Bank, Research and Statistics Department, number 2025/2, Mar.
• Frantisek Brazdik & Karel Musil & Tomas Pokorny & Tomas Sestorad & Jaromir Tonner & Jan Zacek, 2025, "Upgrading the Czech National Bank's Core Forecasting Model g3+," Working Papers, Czech National Bank, Research and Statistics Department, number 2025/7, May.
• Juan Jos√© Rinc√≥n Brice√±o, 2025, "Colombian economic activity nowcasting: addressing nonlinearities and high dimensionality through machine-learning," Documentos CEDE, Universidad de los Andes, Facultad de Economía, CEDE, number 21388, Jun.
• Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2025, "Nowcasting with large Bayesian vector autoregressions," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 3331, Jan, DOI: https://doi.org/10.1016/j.jeconom.2.
• Hessel Oosterbeek & Tina Rozsos & Bas van der Klaauw, 2025, "School choice, school switching, and optimal assignment," RFBerlin Discussion Paper Series, ROCKWOOL Foundation Berlin (RFBerlin), number 25159, Dec.
• Marco Guerzoni & Luigi Riso & Maria Grazia Zoia, 2025, "Forecasting the Impact of Extreme Weather Events on Electricity Prices in Italy: A GARCH-MIDAS Approach with Enhanced Variable Selection," DISCE - Working Papers del Dipartimento di Politica Economica, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE), number dipe0043, Jan.
• Guo, Hongfei & Marín Díazaraque, Juan Miguel & Veiga, Helena, 2025, "Learning Volatility:A Bayesian Neural Stochastic Framework," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number 47944, Sep.
• Shirlee LICHTMAN-SADOT & Neta BNEHSHALOM-TIROSH & Eyal SHEINER, 2025, "Conflict, rockets, and birth outcomes: evidence from Israel's Operation Protective Edge," JODE - Journal of Demographic Economics, Cambridge University Press, volume 91, issue 1, pages 119-145, March, DOI: 10.1017/dem.2022.18.
• Tal BOGER, 2025, "Forecasting inflation in Iran by applying machine learning algorithms to PPP lag," Turkish Economic Review, EconSciences Journals, volume 12, issue 2, pages 68-82, June.
• Маргарита Шопова & Евгени Овчинников, 2025, "Автоматизирани Алгоритми За Идентификация На Arima Модели При Прогнозиране На Динамични Редове - Преглед На Литературата," Scientific Research Almanac, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 33 Year 2, pages 117-148.
• Jelena Franjkovic & Ivana Fosic & Ana Zivkovic, 2025, "Application Of Machine Learning Algorithms in Predicting Customer Loyalty Towards Grocery Retailers," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 2 Year 20, pages 86-102.
• Daniel Graeber & Lorenz Meister & Carsten Schröder & Sabine Zinn, 2025, "Random Forests for Labor Market Analysis: Balancing Precision and Interpretability," SOEPpapers on Multidisciplinary Panel Data Research, DIW Berlin, The German Socio-Economic Panel (SOEP), number 1230.
• Robert-Paul Berben & Rajni Rasiawan & Jasper de Winter, 2025, "Forecasting Dutch inflation using machine learning methods," Working Papers, DNB, number 828, Feb.
• Pérignon, Christophe & Saurin, Sébastien & Sentenac, Flore & Digalakis Jr, Vassilis, 2025, "The Challenger: When Do New Data Sources Justify Switching Machine Learning Models?," HEC Research Papers Series, HEC Paris, number 1601, Dec, DOI: 10.2139/ssrn.5946174.
• Foroni, Claudia & Schroeder, Christofer, 2025, "Using corporate earnings calls to forecast euro area labour demand," Economic Bulletin Boxes, European Central Bank, volume 2.
• Figueres, Juan Manuel & Prieto, Barbara Montero & Scalone, Valerio & Hooft, James ’t & Ter Steege, Lucas & Vallotto, Clarissa, 2025, "A framework to assess the severity of adverse scenarios in EU-wide stress tests," Macroprudential Bulletin, European Central Bank, volume 32.
• Angelini, Elena & Darracq Pariès, Matthieu & Haertel, Thomas & Lalik, Magdalena & Aldama, Pierre & Brázdik, František & Damjanović, Milan & Fantino, Davide & Sanchez, Pablo Garcia & Guarda, Paolo & Ke, 2025, "The ESCB forecasting models: what are they and what are they good for?," Occasional Paper Series, European Central Bank, number 381, Dec.
• Petrella, Ivan & De Polis, Andrea & Melosi, Leonardo, 2025, "The taming of the skew: asymmetric inflation risk and monetary policy," Working Paper Series, European Central Bank, number 3028, Feb.
• Bańbura, Marta & Bobeica, Elena & Giammaria, Alessandro & Porqueddu, Mario & van Spronsen, Josha, 2025, "A new model to forecast energy inflation in the euro area," Working Paper Series, European Central Bank, number 3062, Jun.
• Klieber, Karin & Coulombe, Philippe Goulet, 2025, "Opening the black box of local projections," Working Paper Series, European Central Bank, number 3105, Aug.
• Saiz, Lorena & Magro, Manuel Medina, 2025, "What can newspaper articles reveal about the euro area economy?," Working Paper Series, European Central Bank, number 3122, Sep.
• Trebbi, Giovanni, 2025, "Inflation narratives and expectations," Working Paper Series, European Central Bank, number 3158, Dec.
• Togan, Aslı & Togan, Sübidey, 2025, "Reforming external debt governance in Turkey to reach external debt sustainability," Journal of Asian Economics, Elsevier, volume 101, issue C, DOI: 10.1016/j.asieco.2025.102020.
• Adachi, Yusuke & Ogawa, Hikaru & Tsubuku, Masafumi, 2025, "Regional employment during recessions and recoveries in Japan: A data-driven approach," Journal of Asian Economics, Elsevier, volume 98, issue C, DOI: 10.1016/j.asieco.2025.101917.
• Bitetto, Alessandro & Filomeni, Stefano & Modina, Michele, 2025, "Machine Learning for the Unlisted: Enhancing MSME Default Prediction with Public Market Signals," Journal of Corporate Finance, Elsevier, volume 94, issue C, DOI: 10.1016/j.jcorpfin.2025.102830.
• Zanetti Chini, Emilio, 2025, "Judgment can spur long memory," Journal of Economic Dynamics and Control, Elsevier, volume 170, issue C, DOI: 10.1016/j.jedc.2024.105005.
• Bao, Te & Dai, Yun & Duffy, John, 2025, "Least squares learning? Evidence from the laboratory," Journal of Economic Dynamics and Control, Elsevier, volume 172, issue C, DOI: 10.1016/j.jedc.2024.104980.
• Clements, Michael P. & Rich, Robert W. & Tracy, Joseph, 2025, "An Investigation into the Uncertainty Revision Process of Professional Forecasters," Journal of Economic Dynamics and Control, Elsevier, volume 173, issue C, DOI: 10.1016/j.jedc.2025.105060.
• Falconio, Andrea & Manganelli, Simone, 2025, "Financial conditions, business cycle fluctuations and growth-at-risk," Journal of Economic Dynamics and Control, Elsevier, volume 176, issue C, DOI: 10.1016/j.jedc.2025.105109.
• Barci, Giovanni, 2025, "The effects of monetary policy on macroeconomic downside risk: state-dependence matters," Journal of Economic Dynamics and Control, Elsevier, volume 180, issue C, DOI: 10.1016/j.jedc.2025.105201.
• Lian, Zeng & Chen, Liang & Tan, Hongru, 2025, "How NAFTA affected U.S. vehicle emissions: Demand growth and usage patterns," Economic Modelling, Elsevier, volume 143, issue C, DOI: 10.1016/j.econmod.2024.106961.
• Wang, Nianling & Wang, Qianchao & Li, Yong, 2025, "Estimation and forecast of carbon emission market volatility based on model averaging method," Economic Modelling, Elsevier, volume 143, issue C, DOI: 10.1016/j.econmod.2024.106976.
• Qiu, Yue & Qu, Shaoguang & Shi, Zhentao & Xie, Tian, 2025, "Predicting cryptocurrency volatility: The power of model clustering," Economic Modelling, Elsevier, volume 144, issue C, DOI: 10.1016/j.econmod.2024.106986.
• Kaustubh, Kaustubh & Ranjan, Abhishek, 2025, "A multi-factor GDP nowcast model for India," Economic Modelling, Elsevier, volume 147, issue C, DOI: 10.1016/j.econmod.2025.107053.
• Gillmann, Niels & Okhrin, Ostap, 2025, "Adaptive local VAR for dynamic economic policy uncertainty spillover," Economic Modelling, Elsevier, volume 148, issue C, DOI: 10.1016/j.econmod.2025.107079.
• Lefort, Fernando & Díaz, Fernando, 2025, "Analyzing price efficiency using machine learning generated price indices: The case of the Chilean used car market," Economic Modelling, Elsevier, volume 152, issue C, DOI: 10.1016/j.econmod.2025.107257.
• Lin, Wensheng & Wang, Xuewu, 2025, "Regime-dependent volatility spillover asymmetry in Shanghai and Hong Kong stock markets with forecasting and portfolio inferences," Economic Modelling, Elsevier, volume 152, issue C, DOI: 10.1016/j.econmod.2025.107268.
• Deng, Shangkun & Li, Yongqi & Zhu, Yingke & Wang, Bingsen & Ning, Hong & Yi, Siyu & Shimada, Tatsuro, 2025, "Financial distress warning and risk path analysis for Chinese listed companies: An interpretable machine learning approach," Economic Modelling, Elsevier, volume 152, issue C, DOI: 10.1016/j.econmod.2025.107288.
• Ma, Yong & Li, Shuaibing & Liu, Xiaojun, 2025, "Forecasting energy commodity returns: Can weak factors and nonlinearity help?," Economic Modelling, Elsevier, volume 153, issue C, DOI: 10.1016/j.econmod.2025.107295.