Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting with DSGE Models
2. Forecasting

2023

• 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.
• Bryan T. Kelly & Boris Kuznetsov & Semyon Malamud & Teng Andrea Xu, 2023, "Large (and Deep) Factor Models," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-121, Dec.
• 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, Centre for Economic Policy Research, 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.
• Bitetto, Alessandro & Cerchiello, Paola & Filomeni, Stefano & Tanda, Alessandra & Tarantino, Barbara, 2023, "Machine learning and credit risk: Empirical evidence from small- and mid-sized businesses," Socio-Economic Planning Sciences, Elsevier, volume 90, issue C, DOI: 10.1016/j.seps.2023.101746.
• Max Gillman & Adrian Pagan, 2023, "Investigating Cycle Anatomy," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-09, Feb.
• Miguel Herculano & Punnoose Jacob, 2023, "Financial Condition Indices in an Incomplete Data Environment," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-42, Aug.
• Zhang, Ning & Gong, Yujing & Xue, Xiaohan, 2023, "Less disagreement, better forecasts: adjusted risk measures in the energy futures market," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 118451, Oct.
• Bryzgalova, Svetlana & Huang, Jiantao & Julliard, Christian, 2023, "Bayesian solutions for the factor zoo: we just ran two quadrillion models," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 126151, Feb.
• Lutz Kilian & Xiaoqing Zhou, 2023, "The Econometrics of Oil Market VAR Models," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications", DOI: 10.1108/S0731-90532023000045B003.
• Yong Dirgiatmo, 2023, "Testing The Discriminant Validity and Heterotrait–Monotrait Ratio of Correlation (HTMT): A Case in Indonesian SMEs," International Symposia in Economic Theory and Econometrics, Emerald Group Publishing Limited, "Macroeconomic Risk and Growth in the Southeast Asian Countries: Insight from Indonesia", DOI: 10.1108/S1571-03862023000033A011.
• Oli Ahad Thakur & Matemilola Bolaji Tunde & Bany-Ariffin Amin Noordin & Md. Kausar Alam & Muhammad Agung Prabowo, 2023, "The relationship between goodwill and capital structure and the moderating effect of financial market development," Journal of Economics, Finance and Administrative Science, Emerald Group Publishing Limited, volume 29, issue 57, pages 121-145, December, DOI: 10.1108/JEFAS-04-2022-0107.
• Mehdi Mili & Ahmed Bouteska, 2023, "Forecasting nonlinear dependency between cryptocurrencies and foreign exchange markets using dynamic copula: evidence from GAS models," Journal of Risk Finance, Emerald Group Publishing Limited, volume 24, issue 4, pages 464-482, May, DOI: 10.1108/JRF-04-2022-0074.
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• James C. Cox & Vjollca Sadiraj & James M. Walker, 2023, "Power Asymmetry in Repeated Play of Provision and Appropriation Games," Experimental Economics Center Working Paper Series, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, number 2022-04, Apr.
• Awa Traoré & Cheikh T. Ndour & Simplice A. Asongu, 2023, "Promoting Environmental Sustainability in Africa: Evidence from Governance Synergy," Working Papers, European Xtramile Centre of African Studies (EXCAS), number 23/002, Jan.
• Awa Traoré & Simplice A. Asongu, 2023, "Diffusion of Green technology, Governance and CO2 emissions in Sub-Saharan Africa," Working Papers, European Xtramile Centre of African Studies (EXCAS), number 23/054, Jan.
• Pablo Pincheira-Brown & Nicolás Hardy & Cristobal Henrriquez & Ignacio Tapia & Andrea Bentancor, 2023, "Forecasting Base Metal Prices with an International Stock Index," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 73, issue 3, pages 277-302, October.
• Evzen Kocenda & Shivendra Rai, 2023, "Drivers of Private Equity Activity across Europe: An East-West Comparison," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2023/14, May, revised May 2023.
• Aaron Bodoh-Creed & Brent Hickman & John List & Ian Muir & Gregory Sun, 2023, "Stress Testing Structural Models of Unobserved Heterogeneity: Robust Inference on Optimal Nonlinear Pricing," Natural Field Experiments, The Field Experiments Website, number 00776.
• Jason Brown & Nida Çakır Melek & Johannes Matschke & Sai Sattiraju, 2023, "The Missing Tail Risk in Option Prices," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 23-02, Mar, DOI: 10.18651/RWP2023-02.
• Aaron Amburgey & Michael W. McCracken, 2023, "Growth-at-Risk is Investment-at-Risk," Working Papers, Federal Reserve Bank of St. Louis, number 2023-020, Aug, revised 14 Aug 2025, DOI: 10.20955/wp.2023.020.
• Sílvia Gonçalves & Michael W. McCracken & Yongxu Yao, 2023, "Bootstrapping out-of-sample predictability tests with real-time data," Working Papers, Federal Reserve Bank of St. Louis, number 2023-029, Nov, revised 03 Sep 2024, DOI: 10.20955/wp.2023.029.
• Paul Ho & Thomas A. Lubik & Christian Matthes, 2023, "Averaging Impulse Responses Using Prediction Pools," Working Paper, Federal Reserve Bank of Richmond, number 23-04, Feb, DOI: 10.21144/wp23-04.
• Kirill D. Shilov & Andrei V. Zubarev, 2023, "Factors of Ethereum Profitability as a Platform for Creating Decentrilized Applications," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 95-115, February, DOI: 10.31107/2075-1990-2023-1-95-115.
• John B. Guerard & Dimitrios D. Thomakos & Foteini Kyriazi & Konstantinos Mamais, 2023, "On the Predictability of the DJIA and S&P500 Indices," Working Papers, The George Washington University, The Center for Economic Research, number 2023-001, Jan.
• Dr. Marc Ingo Wolter & Florian Bernardt & Jannik Daßler & Saskia Reuschel & Dr. Britta Stöver, 2023, "Klimafolgen und Anpassung – 2023," GWS Research Report Series, GWS - Institute of Economic Structures Research, number 23-6.
• H. Rad & R. Low & J. Miffre & R. Faff, 2023, "The commodity risk premium and neural networks," Post-Print, HAL, number hal-04322519, Dec, DOI: 10.1016/j.jempfin.2023.101433.
• Gaetan Bakalli & Stéphane Guerrier & Olivier Scaillet, 2023, "A penalized two-pass regression to predict stock returns with time-varying risk premia," Post-Print, HAL, number hal-04325655, Dec, DOI: 10.1016/j.jeconom.2022.12.004.
• Xiong Wang & Jingyao Li & Xiaohang Ren & Ruijun Bu & Fredj Jawadi, 2023, "Economic policy uncertainty and dynamic correlations in energy markets: Assessment and solutions," Post-Print, HAL, number hal-04478736, Jan, DOI: 10.1016/j.eneco.2022.106475.
• Sarra Ghaddab & Manel Kacem & Christian de Peretti & Lotfi Belkacem, 2023, "Extreme severity modeling using a GLM-GPD combination: application to an excess of loss reinsurance treaty," Post-Print, HAL, number hal-04875467, Feb, DOI: 10.1007/s00181-023-02371-4.
• Abdelhakim Aknouche & Christian Francq, 2023, "Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models," Post-Print, HAL, number hal-05417229, Dec, DOI: 10.1016/j.jeconom.2021.09.002.
• Sihem Guidoum & Elkhansaa Saadi, 2023, "Mobile payment Application Quality and customer Loyalty: A Structural Equation Modeling Approach –BARIDI MOB case study-," Post-Print, HAL, number halshs-04521359, Dec.
• Karmen Vrhar & Vladimir Arčabić, 2023, "Prelijevanja Volatilnosti Između Tržišta Dobara I Financijskih Tržišta," Ekonomski pregled, Hrvatsko društvo ekonomista (Croatian Society of Economists), volume 74, issue 3, pages 433-463, DOI: 10.32910/ep.74.3.5.
• Ringstad, Ingrid Emilie Flessum & Tselika, Kyriaki, 2023, "Time and frequency dynamics of connectedness between green bonds, clean energy markets and carbon prices," Discussion Papers, Norwegian School of Economics, Department of Business and Management Science, number 2023/18, Nov.
• Virbickaite, Audrone & Nguyen, Hoang & Tran, Minh-Ngoc, 2023, "Bayesian Predictive Distributions of Oil Returns Using Mixed Data Sampling Volatility Models," Working Papers, Örebro University, School of Business, number 2023:7, Apr.
• KANO, Takashi, 2023, "Posterior Inferences on Incomplete Structural Models : The Minimal Econometric Interpretation," Discussion paper series, Hitotsubashi Institute for Advanced Study, Hitotsubashi University, number HIAS-E-128, Mar.
• Kouach Yassine & EL Attar Abderrahim & EL Hachloufi Mostafa, 2023, "Retakaful Contributions Model Using Machine Learning Techniques," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, volume 9, issue 3, pages 511-532, September, DOI: https://doi.org/10.21098/jimf.v9i3..
• Sushil Kumar Rai & Akhilesh Kumar Sharma, 2023, "Forecasting Exchange Rate Volatility in India Under Univariate and Multivariate Analysis," Bulletin of Monetary Economics and Banking, Bank Indonesia, volume 26, issue 1, pages 175-190, March, DOI: https://doi.org/10.59091/1410-8046..
• Saurabh Ghosh & Abhishek Ranjan, 2023, "A Machine Learning Approach to GDP Nowcasting: An Emerging Market Experience," Bulletin of Monetary Economics and Banking, Bank Indonesia, volume 26, issue Special I, pages 33-54, February, DOI: https://doi.org/10.59091/1410-8046..
• Bilver Adrian Astorquiza-Bustos & Kevin Bravo Bolaño & Enmanuel Aguirre Bernal, 2023, "Índice de precariedad laboral en Colombia: una construcción teórica y analítica partir de microdatos," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 18, issue 1, pages 1-26, Enero - M.
• Paul Christian Espinoza Ipanaque, 2023, "Pass-through del tipo de cambio en América Latina," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 18, issue 4, pages 1-15, Octubre -.
• Maria Teresa Medeiros Garcia & AndrĂ© Fernando Rodrigues Rocha da Silva, 2023, "Pension expenditure determinants: the case of Portugal," Public Sector Economics, Institute of Public Finance, volume 47, issue 2, pages 177-203, DOI: 10.3326/pse.47.2.2.
• Daniel dos Santos Baptista & Nuno M. Brites & Alfredo D. Egídio dos Reis, 2023, "Stochastic differential equations death rates models: the Portuguese case," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2023/0268, Apr.
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• Haowen Bao & Zongwu Cai & Yuying Sun & Shouyang Wang, 2023, "Penalized Model Averaging for High Dimensional Quantile Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202302, Jan.
• Shahnaz Parsaeian, 2023, "Structural Breaks in Seemingly Unrelated Regression Models," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202308, Aug.
• Haowen Bao & Zongwu Cai & Yuying Sun & Shouyang Wang, 2023, "Penalized Optimal Forecast Combination for Quantile Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202514, Jan, revised May 2025.
• Carlo Marinelli & Stefano d’Addona, 2023, "Nonparametric estimates of option prices via Hermite basis functions," Annals of Finance, Springer, volume 19, issue 4, pages 477-522, December, DOI: 10.1007/s10436-023-00431-4.
• Jan Matas & Jan Pospíšil, 2023, "Robustness and sensitivity analyses of rough Volterra stochastic volatility models," Annals of Finance, Springer, volume 19, issue 4, pages 523-543, December, DOI: 10.1007/s10436-023-00433-2.
• Giuseppe Luca & Jan R. Magnus & Franco Peracchi, 2023, "Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals," Computational Economics, Springer;Society for Computational Economics, volume 61, issue 4, pages 1637-1664, April, DOI: 10.1007/s10614-022-10255-5.
• Jan G. De Gooijer, 2023, "Penalized Averaging of Quantile Forecasts from GARCH Models with Many Exogenous Predictors," Computational Economics, Springer;Society for Computational Economics, volume 62, issue 1, pages 407-424, June, DOI: 10.1007/s10614-022-10289-9.
• Hannes Wallimann & David Imhof & Martin Huber, 2023, "A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels," Computational Economics, Springer;Society for Computational Economics, volume 62, issue 4, pages 1669-1720, December, DOI: 10.1007/s10614-022-10315-w.
• Dmitry Bazhutov & André Betzer & Richard Stehle, 2023, "Beta estimation in the European network regulation context: what matters, what doesn’t, and what is indispensable," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 37, issue 3, pages 239-275, September, DOI: 10.1007/s11408-023-00428-z.
• Michel Ferreira Cardia Haddad & Szabolcs Blazsek & Philip Arestis & Franz Fuerst & Hsia Hua Sheng, 2023, "The two-component Beta-t-QVAR-M-lev: a new forecasting model," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 37, issue 4, pages 379-401, December, DOI: 10.1007/s11408-023-00431-4.
• Kathryn E. Easterday & Pradyot K. Sen, 2023, "Another look at the dividend-price relationship in the accounting valuation framework," Review of Quantitative Finance and Accounting, Springer, volume 61, issue 3, pages 879-925, October, DOI: 10.1007/s11156-023-01167-y.
• Csató, László & Bodnár, Gergely, 2023, "Mérhetnénk jobban a csapatok erejét a Bajnokok Ligájában? Fontos megjegyzés az Európai Labdarúgó-szövetség számára
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• Anna Matuszyk, 2023, "Comparison of different approaches using Random Forest for imbalanced credit data," Bank i Kredyt, Narodowy Bank Polski, volume 54, issue 4, pages 419-436.
• Lin William Cong & Nathan Darden George & Guojun Wang, 2023, "RIM-Based Value Premium and Factor Pricing Using Value-Price Divergence," NBER Working Papers, National Bureau of Economic Research, Inc, number 30967, Feb.
• Rodrigo Adão & Arnaud Costinot & Dave Donaldson, 2023, "Putting Quantitative Models to the Test: An Application to Trump’s Trade War," NBER Working Papers, National Bureau of Economic Research, Inc, number 31321, Jun.
• Jinyong Hahn & John D. Singleton & Neşe Yildiz, 2023, "Identification of Non-Additive Fixed Effects Models: Is the Return to Teacher Quality Homogeneous?," NBER Working Papers, National Bureau of Economic Research, Inc, number 31384, Jun.
• Aaron L. Bodoh-Creed & Brent R. Hickman & John A. List & Ian Muir & Gregory K. Sun, 2023, "Stress Testing Structural Models of Unobserved Heterogeneity: Robust Inference on Optimal Nonlinear Pricing," NBER Working Papers, National Bureau of Economic Research, Inc, number 31647, Aug.
• Hom Nath Gaire, 2023, "Forecasting Loanable Funds in Nepal's Banking System: A VECM Approach," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, volume 35, issue 1-2, pages 1-21, December.
• Vasil Bozev, 2023, "A Study of Convergence in the Poverty of the Working Poor among European Union Countries," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 117-129, June.
• Sina Smid, 2023, "Understanding cultural differences and extreme attitudes in the 2021 OECD Trust Survey: Text analysis of open-ended responses," OECD Working Papers on Public Governance, OECD Publishing, number 57, Mar, DOI: 10.1787/ef25d883-en.
• Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023, "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 1, pages 1-72.
• Seok Young Hong & Ingmar Nolte & Stephen J Taylor & Xiaolu Zhao, 2023, "Volatility Estimation and Forecasts Based on Price Durations," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 1, pages 106-144.
• Timo Dimitriadis & iaochun Liu & Julie Schnaitmann, 2023, "Encompassing Tests for Value at Risk and Expected Shortfall Multistep Forecasts Based on Inference on the Boundary," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 2, pages 412-444.
• Alessio Sancetta, 2023, "Intraday Trades Profile Estimation: An Intensity Approach," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 3, pages 651-677.
• Shenyi Pan & Harry Joe & Guofu Li, 2023, "Conditional Inferences Based on Vine Copulas with Applications to Credit Spread Data of Corporate Bonds," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 3, pages 714-741.
• A E Clements & A S Hurn & K A Lindsay & V Volkov, 2023, "Estimating a Non-parametric Memory Kernel for Mutually Exciting Point Processes," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 5, pages 1759-1790.
• Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023, "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, volume 138, issue 1, pages 1-35.
• Thuy Duong Dang & Fabian Hollstein & Marcel Prokopczuk & Zhiguo He, 2023, "Which Factors for Corporate Bond Returns?," The Review of Asset Pricing Studies, Society for Financial Studies, volume 13, issue 4, pages 615-652.
• Simon Jäger & Benjamin Schoefer & Josef Zweimüller, 2023, "Marginal Jobs and Job Surplus: A Test of the Efficiency of Separations," The Review of Economic Studies, Review of Economic Studies Ltd, volume 90, issue 3, pages 1265-1303.
• Leland Bybee & Bryan Kelly & Yinan Su & Tarun Ramadorai, 2023, "Narrative Asset Pricing: Interpretable Systematic Risk Factors from News Text," The Review of Financial Studies, Society for Financial Studies, volume 36, issue 12, pages 4759-4787.
• Henry Penikas, 2023, "Unaccounted model risk for Basel IRB models deemed acceptable by conventional validation criteria," Risk Management, Palgrave Macmillan, volume 25, issue 4, pages 1-25, December, DOI: 10.1057/s41283-023-00129-x.
• Alexander Meléndez Holguín & Gabriel Rodríguez, 2023, "Evolution over time of the effects of fiscal shocks in the peruvian economy: empirical application using TVP-VAR-SV models," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2023-516, DOI: 10.18800/2079-8474.0516.
• Mohajan, Devajit & Mohajan, Haradhan, 2023, "Sensitivity Analysis for Profit Maximization with Respect to Per Unit Cost of Subsidiary Raw Materials," MPRA Paper, University Library of Munich, Germany, number 116538, Jan, revised 10 Jan 2023.