Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting with DSGE Models
2. Forecasting

2023

• Ådne Cappelen & Pierre Mohnen & Arvid Raknerud & Marina Rybalka, 2023, "A new approach to estimating private returns to R&D," Discussion Papers, Statistics Norway, Research Department, number 1005, Aug.
• Ikefuji, Masako & Magnus, Jan R. & Vasnev, Andrey L., 2023, "The role of data and priors in estimating climate sensitivity," Working Papers, University of Sydney Business School, Discipline of Business Analytics, number BAWP-2023-02, Nov.
• Hoang Nguyen & Trong-Nghia Nguyen & Minh-Ngoc Tran, 2023, "A dynamic leverage stochastic volatility model," Applied Economics Letters, Taylor & Francis Journals, volume 30, issue 1, pages 97-102, January, DOI: 10.1080/13504851.2021.1983127.
• Chaonan Jiang & Davide La Vecchia & Elvezio Ronchetti & Olivier Scaillet, 2023, "Saddlepoint Approximations for Spatial Panel Data Models," Journal of the American Statistical Association, Taylor & Francis Journals, volume 118, issue 542, pages 1164-1175, April, DOI: 10.1080/01621459.2021.1981913.
• Joshua C. C. Chan, 2023, "Large Hybrid Time-Varying Parameter VARs," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 41, issue 3, pages 890-905, July, DOI: 10.1080/07350015.2022.2080683.
• Frédéric Vrins & Linqi Wang, 2023, "Asymmetric short-rate model without lower bound," Quantitative Finance, Taylor & Francis Journals, volume 23, issue 2, pages 279-295, February, DOI: 10.1080/14697688.2022.2156384.
• Anna Gloria Billé & Alessio Tomelleri & Francesco Ravazzolo, 2023, "Forecasting regional GDPs: a comparison with spatial dynamic panel data models," Spatial Economic Analysis, Taylor & Francis Journals, volume 18, issue 4, pages 530-551, October, DOI: 10.1080/17421772.2023.2199034.
• Mirko Armillotta & Paolo Gorgi, 2023, "Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 23-054/III, Oct.
• Thomas H. Jørgensen, 2023, "Sensitivity to Calibrated Parameters," The Review of Economics and Statistics, MIT Press, volume 105, issue 2, pages 474-481, March, DOI: 10.1162/rest_a_01054.
• Stanca Lorenzo, 2023, "Robust Bayesian Choice," Working papers, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino, number 079, Jan.
• Luca Benati & Thomas A. Lubik, 2023, "Impulse Response Analysis at the Zero Lower Bound," Diskussionsschriften, Universitaet Bern, Departement Volkswirtschaft, number dp2306, Jun.
• Tae-Hwy Lee & Aman Ullah & He Wang, 2023, "The Second-order Bias and Mean Squared Error of Quantile Regression Estimators," Working Papers, University of California at Riverside, Department of Economics, number 202313, Aug.
• Joseph Cummins & Brock Smith & Douglas L. Miller & David Eliot Simon, 2023, "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Working papers, University of Connecticut, Department of Economics, number 2023-07, Oct.
• Vladimir M. Markovic & Nikola Radivojevic & Tatjana Ivanovic & Slobodan Radisic & Nenad Novakovic, 2023, "The quantum harmonic oscillator expected shortfall model," Estudios de Economia, University of Chile, Department of Economics, volume 50, issue 2 Year 20, pages 233-261, December.
• Alejo Estavillo & Gabriela Mordecki, 2023, "Nowcasting del PIB para Uruguay en base a un modelo de ecuaciones puente," Documentos de Trabajo (working papers), Instituto de Economía - IECON, number 23-26, Dec.
• Gaël Le Mens & Balász Kovács & Michael T. Hannan & Guillem Pros, 2023, "Uncovering the semantics of concepts using GPT-4 and Other recent large language models," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1864, Jun.
• Berezka Kateryna & Kovalchuk Olha, 2023, "The Application of Association Rules to Detect the Effects of Vaccinations against Covid-19 in the EU-27. Preliminary Estimates," Econometrics. Advances in Applied Data Analysis, Sciendo, volume 27, issue 1, pages 1-16, March, DOI: 10.15611/eada.2023.1.01.
• Węcel Krzysztof & Sawiński Marcin & Stróżyna Milena & Lewoniewski Włodzimierz & Księżniak Ewelina & Stolarski Piotr & Abramowicz Witold, 2023, "Artificial intelligence—friend or foe in fake news campaigns," Economics and Business Review, Sciendo, volume 9, issue 2, pages 41-70, April, DOI: 10.18559/ebr.2023.2.736.
• Volvach Olena, 2023, "Assessment of the efficiency of use of EPS by business," Economics, Sciendo, volume 11, issue 1, pages 233-249, June, DOI: 10.2478/eoik-2023-0003.
• Berezka Kateryna M. & Kovalchuk Olha Ya., 2023, "Associative Rules for Modeling International Security Decisions in the Context of the Ukrainian-Russian War. Preliminary Evaluations," Folia Oeconomica Stetinensia, Sciendo, volume 23, issue 2, pages 67-85, December, DOI: 10.2478/foli-2023-0019.
• Moretti Melita, 2023, "Validating a Scale for Innovation in Sustainable Water Management in the Manufacturing Sector: A Slovenian Study," Naše gospodarstvo/Our economy, Sciendo, volume 69, issue 4, pages 12-25, December, DOI: 10.2478/ngoe-2023-0020.
• Ciocîrlan Cecilia & Zwak-Cantoriu Maria-Cristina & Stancea Andreea & Plăcintă Dimitrie-Daniel, 2023, "European Macroeconomic Dynamics on Financial Markets and Economic Policy: A Cross Country Study for Spillover Effects," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, volume 68, issue 3, pages 40-63, December, DOI: 10.2478/subboec-2023-0014.
• Marcin Chlebus & Artur Nowak, 2023, "From Alchemy to Analytics: Unleashing the Potential of Technical Analysis in Predicting Noble Metal Price Movement," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2023-13.
• Jesus Crespo Cuaresma & Oscar Fernandez, 2023, "Explaining Long-Term Bond Yields Synchronization Dynamics in Europe," Department of Economics Working Papers, Vienna University of Economics and Business, Department of Economics, number wuwp344, Jul.
• Crespo Cuaresma, Jesus & Fernandez, Oscar, 2023, "Explaining Long-Term Bond Yields Synchronization Dynamics in Europe," Department of Economics Working Paper Series, WU Vienna University of Economics and Business, number 344, Jul.
• Gilles Duranton & Diego Puga, 2023, "Urban Growth and Its Aggregate Implications," Econometrica, Econometric Society, volume 91, issue 6, pages 2219-2259, November, DOI: 10.3982/ECTA17936.
• Gary Koop & Dimitris Korobilis, 2023, "Bayesian Dynamic Variable Selection In High Dimensions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, volume 64, issue 3, pages 1047-1074, August, DOI: 10.1111/iere.12623.
• Pär Österholm & Aubrey Poon, 2023, "Trend Inflation in Sweden," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 28, issue 4, pages 4707-4716, October, DOI: 10.1002/ijfe.2672.
• Aaron J. Amburgey & Michael W. McCracken, 2023, "On the real‐time predictive content of financial condition indices for growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 38, issue 2, pages 137-163, March, DOI: 10.1002/jae.2943.
• Tsutomu Watanabe & Tomoyoshi Yabu, 2023, "The demand for money at the zero interest rate bound," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 38, issue 6, pages 968-976, September, DOI: 10.1002/jae.2983.
• Josefine Quast & Maik H. Wolters, 2023, "The Federal Reserve's output gap: The unreliability of real‐time reliability tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 38, issue 7, pages 1101-1111, November, DOI: 10.1002/jae.3003.
• Tamás Kiss & Stepan Mazur & Hoang Nguyen & Pär Österholm, 2023, "Modeling the relation between the US real economy and the corporate bond‐yield spread in Bayesian VARs with non‐Gaussian innovations," Journal of Forecasting, John Wiley & Sons, Ltd., volume 42, issue 2, pages 347-368, March, DOI: 10.1002/for.2911.
• Stephen G. Hall & George S. Tavlas & Yongli Wang, 2023, "Forecasting inflation: The use of dynamic factor analysis and nonlinear combinations," Journal of Forecasting, John Wiley & Sons, Ltd., volume 42, issue 3, pages 514-529, April, DOI: 10.1002/for.2948.
• Carlos Cañizares Martínez & Gabe J. de Bondt & Arne Gieseck, 2023, "Forecasting housing investment," Journal of Forecasting, John Wiley & Sons, Ltd., volume 42, issue 3, pages 543-565, April, DOI: 10.1002/for.2946.
• Timothy G. Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2023, "Bootstrap inference under cross‐sectional dependence," Quantitative Economics, Econometric Society, volume 14, issue 2, pages 511-569, May, DOI: 10.3982/QE1626.
• Quast, Josefine & Wolters, Maik H., 2023, "The Federal Reserve's output gap: The unreliability of real-time realiability tests," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 179.
• Ankel-Peters, Jörg & Bensch, Gunther & Vance, Colin, 2023, "Spotlight on researcher decisions: Infrastructure evaluation, instrumental variables, and specification screening," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 991, DOI: 10.4419/96973157.
• Bensch, Gunther & Ankel-Peters, Jörg & Vance, Colin, 2023, "Spotlight on Researcher Decisions – Infrastructure Evaluation, Instrumental Variables, and Specification Screening," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage", Verein für Socialpolitik / German Economic Association, number 277703.
• Changli He & Jian Kang & Annastiina Silvennoinen & Timo Teräsvirta, 2023, "Long Monthly European Temperature Series and the North Atlantic Oscillation," Economics Working Papers, Department of Economics and Business Economics, Aarhus University, number 2023-03, Apr.
• Petra E. Todd & Kenneth I. Wolpin, 2023, "The Best of Both Worlds: Combining Randomized Controlled Trials with Structural Modeling," Journal of Economic Literature, American Economic Association, volume 61, issue 1, pages 41-85, March, DOI: 10.1257/jel.20211652.
• Dorel Mihai Paraschiv & Narciz Balasoiu & Souhir Ben-Amor & Raul Cristian Bag, 2023, "Hybridising Neurofuzzy Model the Seasonal Autoregressive Models for Electricity Price Forecasting on Germany’s Spot Market," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 25, issue 63, pages 463-463, April.
• Awa Traoré & Cheikh T. Ndour & Simplice A. Asongu, 2023, "Promoting Environmental Sustainability in Africa: Evidence from Governance Synergy," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 23/002, Jan.
• Awa Traoré & Simplice A. Asongu, 2023, "Diffusion of Green technology, Governance and CO2 emissions in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 23/054, Jan.
• Lucian MIRESCU & Ana-Maria Camelia POPESCU, 2023, "A Statistical Study On Key Performance Indicators In Health System," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, volume 0, issue 1, pages 25-35, May.
• Algieri, Bernardina & Iania, Leonardo & Leccadito, Arturo & Meloni, Giulia, 2023, "Message in a Bottle: Forecasting wine prices," LIDAM Discussion Papers LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2023004, Jun.
• Алимбаева Лаура // Alimbayeva Laura, 2023, "Оценка опережающих свойств краткосрочных экономических индикаторов Казахстана. // Assessment of leading properties of short-term economic indicators of Kazakhstan," Working Papers, National Bank of Kazakhstan, number #2023-11.
• Damian Clarke & Daniel Paila~nir & Susan Athey & Guido Imbens, 2023, "Synthetic Difference In Differences Estimation," Papers, arXiv.org, number 2301.11859, Jan, revised Feb 2023.
• Jesus Gonzalo & Jean-Yves Pitarakis, 2023, "Out of Sample Predictability in Predictive Regressions with Many Predictor Candidates," Papers, arXiv.org, number 2302.02866, Feb, revised Oct 2023.
• Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023, "Band-Pass Filtering with High-Dimensional Time Series," Papers, arXiv.org, number 2305.06618, May.
• Alexander Chudik & M. Hashem Pesaran & Mahrad Sharifvaghefi, 2023, "Variable Selection in High Dimensional Linear Regressions with Parameter Instability," Papers, arXiv.org, number 2312.15494, Dec, revised Jul 2024.
• Oren Danieli & Daniel Nevo & Itai Walk & Bar Weinstein & Dan Zeltzer, 2023, "Negative Control Falsification Tests for Instrumental Variable Designs," Papers, arXiv.org, number 2312.15624, Dec, revised Apr 2025.
• Jalali Naeini, Seyyed Ahmad Reza & Seighalani, Shahbod, 2023, "External Shocks, Cost Push and Stagflation in Iran (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی Ùˆ بودجه), Institute for Management and Planning studies, volume 28, issue 2, pages 45-89, September.
• Naghibzadeh, Fatemeh & Hojabr kiani, Kambiz & Rajaei, Yadollah & Rahimzadeh, Ashkan, 2023, "Asymmetric Effects of Exchange Rate on the Value Added of Industrial Sector in Iran: Evidence of Non-linear Co-accumulation of NARDL (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی Ùˆ بودجه), Institute for Management and Planning studies, volume 28, issue 3, pages 133-160, December.
• Donald Coletti, 2023, "A Blueprint for the Fourth Generation of Bank of Canada Projection and Policy Analysis Models," Discussion Papers, Bank of Canada, number 2023-23, Oct, DOI: 10.34989/sdp-2023-23.
• Tony Chernis, 2023, "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Staff Working Papers, Bank of Canada, number 23-45, Aug, DOI: 10.34989/swp-2023-45.
• Federica Ciocchetta & Elisa Guglielminetti & Alessandro Mistretta, 2023, "What drives house prices in Europe?," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 764, Apr.
• Raffaele De Marchi & Alessandro Moro, 2023, "Forecasting fiscal crises in emerging markets and low-income countries with machine learning models," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1405, Mar.
• Julián Alonso Cárdenas-Cárdenas & Deicy J. Cristiano-Botia & Nicolás Martínez-Cortés, 2023, "Colombian inflation forecast using Long Short-Term Memory approach," Borradores de Economia, Banco de la Republica de Colombia, number 1241, Jun, DOI: 10.32468/be.1241.
• Wilmer Martínez-Rivera & Eliana R. González-Molano & Edgar Caicedo-García, 2023, "Forecasting Inflation from Disaggregated Data: The Colombian case," Borradores de Economia, Banco de la Republica de Colombia, number 1251, Oct, DOI: 10.32468/be.1251.
• Joseph Chukwudi Odionye & Jude Okechukwu Chukwu, 2023, "Asymmetric Reactions Of Stock Prices And Industrial Output To Exchange Rate Shocks: Multiple Threshold Nonlinear Autoregressive Distributed Lag Framework," Economic Annals, Faculty of Economics and Business, University of Belgrade, volume 68, issue 237, pages 165-191, April – J.
• Guillem Pros & Balász Kovács & Michael T. Hannan & Gaël Le Mens, 2023, "Uncovering the Semantics of Concepts Using GPT-4 and Other Recent Large Language Models," Working Papers, Barcelona School of Economics, number 1394, Jun.
• Andrey Bedin & Alexander Kulikov & Andrey Polbin, 2023, "Copula-Based Modelling of Relationship Between Dollar/Rouble Exchange Rate and Oil Prices," Russian Journal of Money and Finance, Bank of Russia, volume 82, issue 3, pages 87-109, September.
• Viacheslav Kramkov, 2023, "Does CPI disaggregation improve inflation forecast accuracy?," Bank of Russia Working Paper Series, Bank of Russia, number wps112, Mar.
• Svetlana Bryzgalova & Jiantao Huang & Christian Julliard, 2023, "Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models," Journal of Finance, American Finance Association, volume 78, issue 1, pages 487-557, February, DOI: 10.1111/jofi.13197.
• Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2023, "Are Fiscal Multipliers Estimated with Proxy‐SVARs Robust?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 85, issue 1, pages 95-122, February, DOI: 10.1111/obes.12521.
• Sune Karlsson & Pär Österholm, 2023, "Is the US Phillips curve stable? Evidence from Bayesian vector autoregressions," Scandinavian Journal of Economics, Wiley Blackwell, volume 125, issue 1, pages 287-314, January, DOI: 10.1111/sjoe.12508.
• Rishabh Kumar & Adriano Koshiyama & Kleyton da Costa & Nigel Kingsman & Marvin Tewarrie & Emre Kazim & Arunita Roy & Philip Treleaven & Zac Lovell, 2023, "Deep learning model fragility and implications for financial stability and regulation," Bank of England working papers, Bank of England, number 1038, Sep.
• Stephen G. Hall & George S. Tavlas & Yongli Wang, 2023, "Forecasting inflation: the use of dynamic factor analysis and nonlinear combinations," Working Papers, Bank of Greece, number 314, Feb, DOI: 10.52903/wp2023314.
• Zacharias Bragoudakis & Ioannis Krompas, 2023, "Greek GDP forecasting using Bayesian multivariate models," Working Papers, Bank of Greece, number 321, Jun, DOI: 10.52903/wp2023321.
• Yoshibumi Makabe & Yosuke Matsumoto & Wataru Hirata, 2023, "Estimating Pipeline Pressures in New Keynesian Phillips Curves: A Bayesian VAR-GMM Approach," Bank of Japan Working Paper Series, Bank of Japan, number 23-E-13, Aug.
• Yin Shou-Yung & Lin Chang-Ching & Chang Ming-Jen, 2023, "Interest Rate Persistence and Monetary Policy Rule in Light of Model Uncertainty," German Economic Review, De Gruyter, volume 24, issue 2, pages 145-190, May, DOI: 10.1515/ger-2022-0076.
• Blazsek Szabolcs & Blazsek Virag & Kobor Adam, 2023, "Conservatorship, quantitative easing, and mortgage spreads: a new multi-equation score-driven model of policy actions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 27, issue 2, pages 237-264, April, DOI: 10.1515/snde-2021-0066.
• Ayala Astrid & Blazsek Szabolcs & Escribano Alvaro, 2023, "Anticipating extreme losses using score-driven shape filters," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 27, issue 4, pages 449-484, September, DOI: 10.1515/snde-2021-0102.
• Blazsek Szabolcs & Haddad Michel Ferreira Cardia, 2023, "Score-driven multi-regime Markov-switching EGARCH: empirical evidence using the Meixner distribution," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 27, issue 4, pages 589-634, September, DOI: 10.1515/snde-2021-0101.
• Ayala Astrid & Blazsek Szabolcs & Licht Adrian, 2023, "Comparison of Score-Driven Equity-Gold Portfolios During the COVID-19 Pandemic Using Model Confidence Sets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 27, issue 5, pages 705-731, December, DOI: 10.1515/snde-2022-0107.
• Dimitri Tchakounté & Loïc Molambo Sambi, 2023, "Impact des conflits armés sur la santé des enfants en République centrafricaine," Revue d’économie du développement, De Boeck Université, volume 33, issue 2, pages 41-96.
• Meenagh, David & Minford, Patrick & Xu, Yongdeng, 2023, "Indirect Inference and Small Sample Bias - Some Recent Results," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2023/15, May.
• Alena Skolkova, 2023, "Model Averaging with Ridge Regularization," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp758, Jul.
• Alexander Chudik & M. Hashem Pesaran & Mahrad Sharifvaghefi, 2023, "Variable Selection in High Dimensional Linear Regressions with Parameter Instability," CESifo Working Paper Series, CESifo, number 10223.
• Christina Anderl & Guglielmo Maria Caporale, 2023, "Time-Varying Parameters in Monetary Policy Rules: A GMM Approach," CESifo Working Paper Series, CESifo, number 10451.
• Rodrigo Adão & Arnaud Costinot & Dave Donaldson, 2023, "Putting Quantitative Models to the Test: An Application to Trump’s Trade War," CESifo Working Paper Series, CESifo, number 10484.
• Sören Blomquist, 2023, "Evaluating the Discrete Choice and BN Methods to Estimate Labor Supply Functions," CESifo Working Paper Series, CESifo, number 10827.
• Alberto Quaini & Fabio Trojani & Ming Yuan, 2023, "Tradable Factor Risk Premia and Oracle Tests of Asset Pricing Models," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-81, Sep.
• Dante Amengual & Xinyue Bei & Enrique Sentana, 2023, "Highly Irregular Serial Correlation Tests," Working Papers, CEMFI, number wp2023_2302, May.
• Michal Andrle & Jan Bruha, 2023, "A Sparse Kalman Filter: A Non-Recursive Approach," Working Papers, Czech National Bank, Research and Statistics Department, number 2023/13, Nov.
• Santiago Torres, 2023, "The Oracle Local Polynomial Estimator," Documentos CEDE, Universidad de los Andes, Facultad de Economía, CEDE, number 20937, Nov.
• Diana Marcela Jiménez & Lina Alejandra Zarama Valdes & Juan Camilo Urbano & Daniel Giron & Estefano Castillo & Aura Mar�a Barber�n & �lvaro Jos� Pretel & Esneyder Cortes Salina, 2023, "Entre la reinvención y la reactivación: el caso del Plan Reactívate Fundación WWB Colombia como estrategia de recuperación económica enfocada en emprendimientos por necesidad," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, volume 93, issue 4, pages 139-176.
• Liliana Narváez & Yadira Diaz, 2023, "Más y mejores transferencias monetarias en tiempos de COVID-19," Documentos de trabajo, Escuela de Gobierno - Universidad de los Andes, number 20987, Dec.
• Peter B. Dixon & Maureen T. Rimmer, 2023, "What do GTAP databases tell us about technologies for industries and regions?," Centre of Policy Studies/IMPACT Centre Working Papers, Victoria University, Centre of Policy Studies/IMPACT Centre, number g-340, Jun.
• Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023, "Density forecasts of inflation: a quantile regression forest approach," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18298, Jul.
• Bjoern Schulte-Tillmann & Mawuli Segnon & Timo Wiedemann, 2023, "A comparison of high-frequency realized variance measures: Duration- vs. return-based approaches," CQE Working Papers, Center for Quantitative Economics (CQE), University of Muenster, number 10523, Jun.
• Verena Monschang & Mark Trede & Bernd Wilfling, 2023, "Multi-horizon uniform superior predictive ability revisited: A size-exploiting and consistent test," CQE Working Papers, Center for Quantitative Economics (CQE), University of Muenster, number 10623, Nov.
• Paolo Andreini & Cosimo Izzo & Giovanni Ricco, 2023, "Deep Dynamic Factor Models," Working Papers, Center for Research in Economics and Statistics, number 2023-08, May.
• Alban Moura & Olivier Pierrard, 2023, "How well do DSGE models with real estate and collateral constraints fit the data?," LIDAM Discussion Papers IRES, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES), number 2023007, Feb.
• Lee, Ji Hyung & Shin, Youngki, 2023, "Complete Subset Averaging For Quantile Regressions," Econometric Theory, Cambridge University Press, volume 39, issue 1, pages 146-188, February.
• Таня Горчева & Здравко Любенов & Ивайло Петров, 2023, "Европейската Зелена Сделка – Предпоставка За Генериране На Устойчив И Приобщаващ Растеж В Българската Икономика," Scientific Research Almanac, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, volume 31, issue 1 Year 20, pages 103-132.
• Awa Traoré & Simplice A. Asongu, 2023, "Diffusion of Green technology, Governance and CO2 emissions in Sub-Saharan Africa," Journal of Africa SEER Centre(ASC), Africa SEER Centre(ASC), number 23/014, Jan.
• Awa Traoré & Cheikh T. Ndour & Simplice A. Asongu, 2023, "Promoting Environmental Sustainability in Africa: Evidence from Governance Synergy," Journal of Africa SEER Centre(ASC), Africa SEER Centre(ASC), number 23/018, Jan.
• Masako Ikefuji & Jan Magnus & Andrey Vasnev, 2023, "The role of data and priors in estimating climate sensitivity," ISER Discussion Paper, Institute of Social and Economic Research, The University of Osaka, number 1217, Nov.
• László KÓNYA, 2023, "Per Capita Income Convergence and Divergence of Selected OECD Countries to and from the US: A Reappraisal for the period 1900-2018," Applied Econometrics and International Development, Euro-American Association of Economic Development, volume 23, issue 1, pages 33-56.
• Maria-Carmen GUISAN, 2023, "International Comparisons Of World Development: 2 Ebooks On Education, Production, Poverty And Quality Of Life For The Periods 1960-2000 And 2021-2023," Applied Econometrics and International Development, Euro-American Association of Economic Development, volume 23, issue 2, pages 153-176.
• Bańbura, Marta & Bobeica, Elena & Bodnár, Katalin & Fagandini, Bruno & Healy, Peter & Paredes, Joan, 2023, "Underlying inflation measures: an analytical guide for the euro area," Economic Bulletin Boxes, European Central Bank, volume 5.
• Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023, "Forecasting euro area inflation with machine-learning models," Research Bulletin, European Central Bank, volume 112.
• Warne, Anders, 2023, "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series, European Central Bank, number 2768, Jan.
• Martínez, Carlos Cañizares & de Bondt, Gabe & Gieseck, Arne, 2023, "Forecasting housing investment," Working Paper Series, European Central Bank, number 2807, Apr.
• Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023, "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series, European Central Bank, number 2830, Jul.
• Nicholas Adoboe-Mensah & Hussein Salia & Emmanuel Budu Addo, 2023, "Using the Beneish M-score Model to Detect Financial Statement Fraud in the Microfinance Industry in Ghana," International Journal of Economics and Financial Issues, Econjournals, volume 13, issue 4, pages 47-57, July.
• Ra l De Jes s Guti rrez & Lidia E. Carvajal Guti rrez & Oswaldo Garcia Salgado, 2023, "Value at Risk and Expected Shortfall Estimation for Mexico s Isthmus Crude Oil Using Long-Memory GARCH-EVT Combined Approaches," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 4, pages 467-480, July.
• Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023, "Vector autoregression models with skewness and heavy tails," Journal of Economic Dynamics and Control, Elsevier, volume 146, issue C, DOI: 10.1016/j.jedc.2022.104580.
• Cakici, Nusret & Fieberg, Christian & Metko, Daniel & Zaremba, Adam, 2023, "Machine learning goes global: Cross-sectional return predictability in international stock markets," Journal of Economic Dynamics and Control, Elsevier, volume 155, issue C, DOI: 10.1016/j.jedc.2023.104725.
• Zhang, Ming & Du, Panpan & Tu, Xianjin, 2023, "The role of intangible assets in promoting the sustainability of agri-food enterprises: Evidence from China," Economic Analysis and Policy, Elsevier, volume 77, issue C, pages 928-939, DOI: 10.1016/j.eap.2022.12.028.
• Amin, Sakib Bin & Taghizadeh-Hesary, Farhad, 2023, "Tourism, sustainability, and the economy in Bangladesh: The innovation connection amidst Covid-19," Economic Analysis and Policy, Elsevier, volume 79, issue C, pages 153-167, DOI: 10.1016/j.eap.2023.06.018.
• Chou, Jenyu & Easaw, Joshy & Minford, Patrick, 2023, "Does inattentiveness matter for DSGE modeling? An empirical investigation," Economic Modelling, Elsevier, volume 118, issue C, DOI: 10.1016/j.econmod.2022.106076.
• García, Jaume & Suárez, María José, 2023, "The relevance of specification assumptions when analyzing the drivers of physical activity practice," Economic Modelling, Elsevier, volume 119, issue C, DOI: 10.1016/j.econmod.2022.106127.
• Zhao, Shangwei & Xie, Tian & Ai, Xin & Yang, Guangren & Zhang, Xinyu, 2023, "Correcting sample selection bias with model averaging for consumer demand forecasting," Economic Modelling, Elsevier, volume 123, issue C, DOI: 10.1016/j.econmod.2023.106275.
• Qiu, Yue & Zheng, Yuchen, 2023, "Improving box office projections through sentiment analysis: Insights from regularization-based forecast combinations," Economic Modelling, Elsevier, volume 125, issue C, DOI: 10.1016/j.econmod.2023.106349.
• Li, Boyan & Diao, Xundi, 2023, "Structural break in different stock index markets in China," The North American Journal of Economics and Finance, Elsevier, volume 65, issue C, DOI: 10.1016/j.najef.2023.101882.
• Li, Houjian & Zhou, Deheng & Hu, Jiayu & Li, Junwen & Su, Mengying & Guo, Lili, 2023, "Forecasting the realized volatility of Energy Stock Market: A multimodel comparison," The North American Journal of Economics and Finance, Elsevier, volume 66, issue C, DOI: 10.1016/j.najef.2023.101895.
• Rodríguez, Gabriel & Castillo B., Paul & Hasegawa, Harumi, 2023, "Does the Central Bank of Peru respond to exchange rate movements? A Bayesian estimation of a New Keynesian DSGE model with FX interventions," The North American Journal of Economics and Finance, Elsevier, volume 68, issue C, DOI: 10.1016/j.najef.2023.101965.
• Wang, Yide & Chen, Zan & Ji, Xiaodong, 2023, "Cross-market information transmission and stock market volatility prediction," The North American Journal of Economics and Finance, Elsevier, volume 68, issue C, DOI: 10.1016/j.najef.2023.101977.
• Agarwal, Shivam & Muckley, Cal B. & Neelakantan, Parvati, 2023, "Countering racial discrimination in algorithmic lending: A case for model-agnostic interpretation methods," Economics Letters, Elsevier, volume 226, issue C, DOI: 10.1016/j.econlet.2023.111117.
• Cavicchioli, Maddalena, 2023, "Impulse response function analysis for Markov switching var models," Economics Letters, Elsevier, volume 232, issue C, DOI: 10.1016/j.econlet.2023.111357.
• Choi, In & Lin, Rui & Shin, Yongcheol, 2023, "Canonical correlation-based model selection for the multilevel factors," Journal of Econometrics, Elsevier, volume 233, issue 1, pages 22-44, DOI: 10.1016/j.jeconom.2021.09.008.
• Guo, Xiao & Chen, Yu & Tang, Cheng Yong, 2023, "Information criteria for latent factor models: A study on factor pervasiveness and adaptivity," Journal of Econometrics, Elsevier, volume 233, issue 1, pages 237-250, DOI: 10.1016/j.jeconom.2022.03.005.
• Cai, Zongwu & Chen, Haiqiang & Liao, Xiaosai, 2023, "A new robust inference for predictive quantile regression," Journal of Econometrics, Elsevier, volume 234, issue 1, pages 227-250, DOI: 10.1016/j.jeconom.2021.10.012.
• Todorov, Viktor & Zhang, Yang, 2023, "Bias reduction in spot volatility estimation from options," Journal of Econometrics, Elsevier, volume 234, issue 1, pages 53-81, DOI: 10.1016/j.jeconom.2021.12.001.
• Brück, Florian & Fermanian, Jean-David & Min, Aleksey, 2023, "A corrected Clarke test for model selection and beyond," Journal of Econometrics, Elsevier, volume 235, issue 1, pages 105-132, DOI: 10.1016/j.jeconom.2021.12.013.
• Zhang, Xinyu & Liu, Chu-An, 2023, "Model averaging prediction by K-fold cross-validation," Journal of Econometrics, Elsevier, volume 235, issue 1, pages 280-301, DOI: 10.1016/j.jeconom.2022.04.007.
• La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2023, "A higher-order correct fast moving-average bootstrap for dependent data," Journal of Econometrics, Elsevier, volume 235, issue 1, pages 65-81, DOI: 10.1016/j.jeconom.2022.01.008.
• Sun, Yuying & Hong, Yongmiao & Wang, Shouyang & Zhang, Xinyu, 2023, "Penalized time-varying model averaging," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1355-1377, DOI: 10.1016/j.jeconom.2022.09.007.
• Andersen, Torben G. & Riva, Raul & Thyrsgaard, Martin & Todorov, Viktor, 2023, "Intraday cross-sectional distributions of systematic risk," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1394-1418, DOI: 10.1016/j.jeconom.2022.11.001.
• Boot, Tom, 2023, "Joint inference based on Stein-type averaging estimators in the linear regression model," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1542-1563, DOI: 10.1016/j.jeconom.2023.01.006.
• Chen, Le-Yu & Lee, Sokbae, 2023, "Sparse quantile regression," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 2195-2217, DOI: 10.1016/j.jeconom.2023.02.014.
• Linton, Oliver & Seo, Myung Hwan & Whang, Yoon-Jae, 2023, "Testing stochastic dominance with many conditioning variables," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 507-527, DOI: 10.1016/j.jeconom.2022.05.002.
• Perera, Indeewara & Silvapulle, Mervyn J., 2023, "Bootstrap specification tests for dynamic conditional distribution models," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 949-971, DOI: 10.1016/j.jeconom.2022.08.006.
• Bennedsen, Mikkel & Lunde, Asger & Shephard, Neil & Veraart, Almut E.D., 2023, "Inference and forecasting for continuous-time integer-valued trawl processes," Journal of Econometrics, Elsevier, volume 236, issue 2, DOI: 10.1016/j.jeconom.2023.105476.
• Diebold, Francis X. & Rudebusch, Glenn D. & Göbel, Maximilian & Goulet Coulombe, Philippe & Zhang, Boyuan, 2023, "When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume," Journal of Econometrics, Elsevier, volume 236, issue 2, DOI: 10.1016/j.jeconom.2023.105479.
• Tu, Yundong & Xie, Xinling, 2023, "Penetrating sporadic return predictability," Journal of Econometrics, Elsevier, volume 237, issue 1, DOI: 10.1016/j.jeconom.2023.105509.
• Gorgi, P. & Koopman, S.J., 2023, "Beta observation-driven models with exogenous regressors: A joint analysis of realized correlation and leverage effects," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2021.06.010.
• Odendahl, Florens & Rossi, Barbara & Sekhposyan, Tatevik, 2023, "Evaluating forecast performance with state dependence," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2021.07.015.
• Bakalli, Gaetan & Guerrier, Stéphane & Scaillet, Olivier, 2023, "A penalized two-pass regression to predict stock returns with time-varying risk premia," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2022.12.004.
• Proietti, Tommaso & Pedregal, Diego J., 2023, "Seasonality in High Frequency Time Series," Econometrics and Statistics, Elsevier, volume 27, issue C, pages 62-82, DOI: 10.1016/j.ecosta.2022.02.001.
• Cepni, Oguzhan & Emirmahmutoglu, Furkan & Guney, Ibrahim Ethem & Yilmaz, Muhammed Hasan, 2023, "Do the carry trades respond to geopolitical risks? Evidence from BRICS countries," Economic Systems, Elsevier, volume 47, issue 2, DOI: 10.1016/j.ecosys.2022.101000.
• Healy, Paul J. & Park, Hyoeun, 2023, "Model selection accuracy in behavioral game theory: A simulation," European Economic Review, Elsevier, volume 152, issue C, DOI: 10.1016/j.euroecorev.2022.104362.
• Hanauer, Matthias X. & Kalsbach, Tobias, 2023, "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, volume 55, issue C, DOI: 10.1016/j.ememar.2023.101022.
• Nguyen, Hoang & Javed, Farrukh, 2023, "Dynamic relationship between Stock and Bond returns: A GAS MIDAS copula approach," Journal of Empirical Finance, Elsevier, volume 73, issue C, pages 272-292, DOI: 10.1016/j.jempfin.2023.07.004.
• Souropanis, Ioannis & Vivian, Andrew, 2023, "Forecasting realized volatility with wavelet decomposition," Journal of Empirical Finance, Elsevier, volume 74, issue C, DOI: 10.1016/j.jempfin.2023.101432.
• Rad, Hossein & Low, Rand Kwong Yew & Miffre, Joëlle & Faff, Robert, 2023, "The commodity risk premium and neural networks," Journal of Empirical Finance, Elsevier, volume 74, issue C, DOI: 10.1016/j.jempfin.2023.101433.
• Wang, Xiong & Li, Jingyao & Ren, Xiaohang & Bu, Ruijun & Jawadi, Fredj, 2023, "Economic policy uncertainty and dynamic correlations in energy markets: Assessment and solutions," Energy Economics, Elsevier, volume 117, issue C, DOI: 10.1016/j.eneco.2022.106475.
• Blazsek, Szabolcs & Escribano, Alvaro, 2023, "Score-driven threshold ice-age models: Benchmark models for long-run climate forecasts," Energy Economics, Elsevier, volume 118, issue C, DOI: 10.1016/j.eneco.2023.106522.
• Grothe, Oliver & Kächele, Fabian & Krüger, Fabian, 2023, "From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting," Energy Economics, Elsevier, volume 120, issue C, DOI: 10.1016/j.eneco.2023.106602.
• Liu, Tao & Guan, Xinyue & Wei, Yigang & Xue, Shan & Xu, Liang, 2023, "Impact of economic policy uncertainty on the volatility of China's emission trading scheme pilots," Energy Economics, Elsevier, volume 121, issue C, DOI: 10.1016/j.eneco.2023.106626.
• Nguyen, Hoang & Virbickaitė, Audronė, 2023, "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Energy Economics, Elsevier, volume 124, issue C, DOI: 10.1016/j.eneco.2023.106738.
• Diebold, Francis X. & Göbel, Maximilian & Goulet Coulombe, Philippe, 2023, "Assessing and comparing fixed-target forecasts of Arctic sea ice: Glide charts for feature-engineered linear regression and machine learning models," Energy Economics, Elsevier, volume 124, issue C, DOI: 10.1016/j.eneco.2023.106833.
• Tian, Guangning & Peng, Yuchao & Meng, Yuhao, 2023, "Forecasting crude oil prices in the COVID-19 era: Can machine learn better?," Energy Economics, Elsevier, volume 125, issue C, DOI: 10.1016/j.eneco.2023.106788.
• Bennedsen, Mikkel & Hillebrand, Eric & Jensen, Sebastian, 2023, "A neural network approach to the environmental Kuznets curve," Energy Economics, Elsevier, volume 126, issue C, DOI: 10.1016/j.eneco.2023.106985.
• He, Changli & Kang, Jian & Silvennoinen, Annastiina & Teräsvirta, Timo, 2023, "Long monthly European temperature series and the North Atlantic Oscillation," Energy Economics, Elsevier, volume 126, issue C, DOI: 10.1016/j.eneco.2023.107003.
• Li, Yan & Huynh, Luu Duc Toan & Xu, Yongan & Liang, Hao, 2023, "The forecast ability of a belief-based momentum indicator in full-day, daytime, and nighttime volatilities of Chinese oil futures," Energy Economics, Elsevier, volume 127, issue PB, DOI: 10.1016/j.eneco.2023.107064.
• Gritli, Mohamed Ilyes & Charfi, Fatma Marrakchi, 2023, "The determinants of oil consumption in Tunisia: Fresh evidence from NARDL approach and asymmetric causality test," Energy, Elsevier, volume 284, issue C, DOI: 10.1016/j.energy.2023.128632.
• Li, Zhao-Chen & Xie, Chi & Zeng, Zhi-Jian & Wang, Gang-Jin & Zhang, Ting, 2023, "Forecasting global stock market volatilities in an uncertain world," International Review of Financial Analysis, Elsevier, volume 85, issue C, DOI: 10.1016/j.irfa.2022.102463.
• Achakzai, Muhammad Atif Khan & Peng, Juan, 2023, "Detecting financial statement fraud using dynamic ensemble machine learning," International Review of Financial Analysis, Elsevier, volume 89, issue C, DOI: 10.1016/j.irfa.2023.102827.
• Kim, Jae H. & Shamsuddin, Abul, 2023, "Stock market anomalies: An extreme bounds analysis," International Review of Financial Analysis, Elsevier, volume 90, issue C, DOI: 10.1016/j.irfa.2023.102841.
• Peña, Juan Ignacio, 2023, "The hedging effectiveness of electricity futures in the Spanish market," Finance Research Letters, Elsevier, volume 53, issue C, DOI: 10.1016/j.frl.2022.103507.
• Chen, Yongfei & Wei, Yu & Bai, Lan & Zhang, Jiahao, 2023, "Can Green Economy stocks hedge natural gas market risk? Evidence during Russia-Ukraine conflict and other crisis periods," Finance Research Letters, Elsevier, volume 53, issue C, DOI: 10.1016/j.frl.2023.103632.
• Lai, Yu-Sheng, 2023, "Economic evaluation of dynamic hedging strategies using high-frequency data," Finance Research Letters, Elsevier, volume 57, issue C, DOI: 10.1016/j.frl.2023.104230.
• Chen, Yongfei & Wei, Yu & Bai, Lan & Zhang, Jiahao & Wang, Zhuo, 2023, "Connectedness and hedging effects among China's nonferrous metal, crude oil and green bond markets: An extreme perspective," Finance Research Letters, Elsevier, volume 58, issue PA, DOI: 10.1016/j.frl.2023.104041.
• Kovvuri, Veera Raghava Reddy & Fu, Hsuan & Fan, Xiuyi & Seisenberger, Monika, 2023, "Fund performance evaluation with explainable artificial intelligence," Finance Research Letters, Elsevier, volume 58, issue PB, DOI: 10.1016/j.frl.2023.104419.
• Zhao, Chencheng & Yuan, Xianghui & Long, Jun & Jin, Liwei & Guan, Bowen, 2023, "Financial indicators analysis using machine learning: Evidence from Chinese stock market," Finance Research Letters, Elsevier, volume 58, issue PD, DOI: 10.1016/j.frl.2023.104590.
• Boos, Dominik & Grob, Linus, 2023, "Tracking speculative trading," Journal of Financial Markets, Elsevier, volume 64, issue C, DOI: 10.1016/j.finmar.2022.100774.
• Uddin, Ajim & Tao, Xinyuan & Yu, Dantong, 2023, "Attention based dynamic graph neural network for asset pricing," Global Finance Journal, Elsevier, volume 58, issue C, DOI: 10.1016/j.gfj.2023.100900.
• Huber, Martin & Imhof, David, 2023, "Flagging cartel participants with deep learning based on convolutional neural networks," International Journal of Industrial Organization, Elsevier, volume 89, issue C, DOI: 10.1016/j.ijindorg.2023.102946.
• Fissler, Tobias & Merz, Michael & Wüthrich, Mario V., 2023, "Deep quantile and deep composite triplet regression," Insurance: Mathematics and Economics, Elsevier, volume 109, issue C, pages 94-112, DOI: 10.1016/j.insmatheco.2023.01.001.
• Wei, Yunran & Zitikis, Ričardas, 2023, "Assessing the difference between integrated quantiles and integrated cumulative distribution functions," Insurance: Mathematics and Economics, Elsevier, volume 111, issue C, pages 163-172, DOI: 10.1016/j.insmatheco.2023.04.002.
• Liang, Chao & Huynh, Luu Duc Toan & Li, Yan, 2023, "Market momentum amplifies market volatility risk: Evidence from China’s equity market," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 88, issue C, DOI: 10.1016/j.intfin.2023.101856.
• Esparcia, Carlos & Escribano, Ana & Jareño, Francisco, 2023, "Did cryptomarket chaos unleash Silvergate's bankruptcy? investigating the high-frequency volatility and connectedness behind the collapse," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 89, issue C, DOI: 10.1016/j.intfin.2023.101851.
• Fortin, Alain-Philippe & Simonato, Jean-Guy & Dionne, Georges, 2023, "Forecasting expected shortfall: Should we use a multivariate model for stock market factors?," International Journal of Forecasting, Elsevier, volume 39, issue 1, pages 314-331, DOI: 10.1016/j.ijforecast.2021.11.010.
• Aprigliano, Valentina & Emiliozzi, Simone & Guaitoli, Gabriele & Luciani, Andrea & Marcucci, Juri & Monteforte, Libero, 2023, "The power of text-based indicators in forecasting Italian economic activity," International Journal of Forecasting, Elsevier, volume 39, issue 2, pages 791-808, DOI: 10.1016/j.ijforecast.2022.02.006.
• Magnus, Jan R. & Vasnev, Andrey L., 2023, "On the uncertainty of a combined forecast: The critical role of correlation," International Journal of Forecasting, Elsevier, volume 39, issue 4, pages 1895-1908, DOI: 10.1016/j.ijforecast.2022.10.002.
• Cong, Lin William & George, Nathan Darden & Wang, Guojun, 2023, "RIM-based value premium and factor pricing using value-price divergence," Journal of Banking & Finance, Elsevier, volume 149, issue C, DOI: 10.1016/j.jbankfin.2023.106812.
• Manresa, Elena & Peñaranda, Francisco & Sentana, Enrique, 2023, "Empirical evaluation of overspecified asset pricing models," Journal of Financial Economics, Elsevier, volume 147, issue 2, pages 338-351, DOI: 10.1016/j.jfineco.2022.10.002.
• Bollerslev, Tim & Todorov, Viktor, 2023, "The jump leverage risk premium," Journal of Financial Economics, Elsevier, volume 150, issue 3, DOI: 10.1016/j.jfineco.2023.103723.
• Hall, Stephen G. & Tavlas, George S. & Wang, Yongli, 2023, "Drivers and spillover effects of inflation: The United States, the euro area, and the United Kingdom☆," Journal of International Money and Finance, Elsevier, volume 131, issue C, DOI: 10.1016/j.jimonfin.2022.102776.
• Ahmed, Shamim & Bu, Ziwen & Symeonidis, Lazaros & Tsvetanov, Daniel, 2023, "Which factor model? A systematic return covariation perspective," Journal of International Money and Finance, Elsevier, volume 136, issue C, DOI: 10.1016/j.jimonfin.2023.102865.
• Shida, Jakob, 2023, "Primary market demand for German government bonds," Journal of International Money and Finance, Elsevier, volume 137, issue C, DOI: 10.1016/j.jimonfin.2023.102909.
• Wei, Yu & Wang, Yizhi & Lucey, Brian M. & Vigne, Samuel A., 2023, "Cryptocurrency uncertainty and volatility forecasting of precious metal futures markets," Journal of Commodity Markets, Elsevier, volume 29, issue C, DOI: 10.1016/j.jcomm.2022.100305.
• Ponomarenko, Alexey & Tatarintsev, Stas, 2023, "Incorporating financial development indicators into early warning systems," The Journal of Economic Asymmetries, Elsevier, volume 27, issue C, DOI: 10.1016/j.jeca.2022.e00284.
• Kim, Duk Gyoo, 2023, "“One Bite at the apple”: Legislative bargaining without replacement," Journal of Economic Psychology, Elsevier, volume 95, issue C, DOI: 10.1016/j.joep.2022.102589.
• Vieira, Duarte Saldanha & Carvalho, Paulo Viegas de & Curto, José Dias & Laureano, Luís, 2023, "Gold's hedging and safe haven properties for European stock and bond markets," Resources Policy, Elsevier, volume 85, issue PA, DOI: 10.1016/j.resourpol.2023.103817.
• Liu, Zhenya & Teka, Hanen & You, Rongyu, 2023, "Conditional autoencoder pricing model for energy commodities," Resources Policy, Elsevier, volume 86, issue PA, DOI: 10.1016/j.resourpol.2023.104060.
• Virbickaitė, Audronė & Nguyen, Hoang & Tran, Minh-Ngoc, 2023, "Bayesian predictive distributions of oil returns using mixed data sampling volatility models," Resources Policy, Elsevier, volume 86, issue PA, DOI: 10.1016/j.resourpol.2023.104167.
• Hardy, Nicolás & Ferreira, Tiago & Quinteros, Maria J. & Magner, Nicolás S., 2023, "“Watch your tone!”: Forecasting mining industry commodity prices with financial report tone," Resources Policy, Elsevier, volume 86, issue PA, DOI: 10.1016/j.resourpol.2023.104251.
• Alfaro, Rodrigo & Inzunza, Alejandra, 2023, "Modeling S&P500 returns with GARCH models," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 4, issue 3, DOI: 10.1016/j.latcb.2023.100096.
• Olagunju, Kehinde Oluseyi & Olagunju, Kehinde Ademola & Ogunniyi, Adebayo Isaiah & Omotayo, Abiodun Olusola & Oyetunde-Usman, Zainab, 2023, "To own or not to own? Land tenure security and production risk in small-scale farming," Land Use Policy, Elsevier, volume 127, issue C, DOI: 10.1016/j.landusepol.2023.106584.
• Hu, Debao & Li, Xin & Xiang, George & Zhou, Qiyao, 2023, "Asset pricing models in the presence of higher moments: Theory and evidence from the U.S. and China stock market," Pacific-Basin Finance Journal, Elsevier, volume 79, issue C, DOI: 10.1016/j.pacfin.2023.102053.
• Mishra, Ankita & Moosa, Imad A. & Tawadros, George B. & Mishra, Vinod, 2023, "The effect of political and bureaucratic regime changes on Australia's real interest rate," International Review of Economics & Finance, Elsevier, volume 85, issue C, pages 124-136, DOI: 10.1016/j.iref.2023.01.016.
• Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023, "COVID-19 and stock returns: Evidence from the Markov switching dependence approach," Research in International Business and Finance, Elsevier, volume 64, issue C, DOI: 10.1016/j.ribaf.2023.101882.
• Wang, Yizhi & Wei, Yu & Lucey, Brian M. & Su, Yang, 2023, "Return spillover analysis across central bank digital currency attention and cryptocurrency markets," Research in International Business and Finance, Elsevier, volume 64, issue C, DOI: 10.1016/j.ribaf.2023.101896.
• Shi, Huai-Long & Chen, Huayi, 2023, "Revisiting asset co-movement: Does network topology really matter?," Research in International Business and Finance, Elsevier, volume 66, issue C, DOI: 10.1016/j.ribaf.2023.102064.
• Li, Zhao-Chen & Xie, Chi & Wang, Gang-Jin & Zhu, You & Long, Jian-You & Zhou, Yang, 2023, "Forecasting stock market volatility under parameter and model uncertainty," Research in International Business and Finance, Elsevier, volume 66, issue C, DOI: 10.1016/j.ribaf.2023.102084.
• Moutinho, Victor & Santos de Oliveira, Helena M. & Viana Espinosa de Oliveira, Henrique & Puime Guillén, Félix, 2023, "The augmented and integrative model of economic growth: Theoretical and empirical evidence from USA," Socio-Economic Planning Sciences, Elsevier, volume 89, issue C, DOI: 10.1016/j.seps.2023.101673.