Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting

2019

• Denis Shibitov & Mariam Mamedli, 2019, "The finer points of model comparison in machine learning: forecasting based on russian banks’ data," Bank of Russia Working Paper Series, Bank of Russia, number wps43, Aug.
• Sergei Seleznev, 2019, "Truncated priors for tempered hierarchical Dirichlet process vector autoregression," Bank of Russia Working Paper Series, Bank of Russia, number wps47, Oct.
• Ramis Khabibullin, 2019, "What measures of real economic activity slack are helpful for forecasting Russian inflation?," Bank of Russia Working Paper Series, Bank of Russia, number wps50, Oct.
• Katja Heinisch & Rolf Scheufele, 2019, "Should Forecasters Use Real‐Time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence," German Economic Review, Verein für Socialpolitik, volume 20, issue 4, pages 170-200, November, DOI: 10.1111/geer.12163.
• Dario Sansone, 2019, "Beyond Early Warning Indicators: High School Dropout and Machine Learning," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 81, issue 2, pages 456-485, April, DOI: 10.1111/obes.12277.
• André K. Anundsen, 2019, "Detecting Imbalances in House Prices: What Goes Up Must Come Down?," Scandinavian Journal of Economics, Wiley Blackwell, volume 121, issue 4, pages 1587-1619, October, DOI: 10.1111/sjoe.12349.
• Stavros Degiannakis & George Filis, 2019, "Forecasting European economic policy uncertainty," Scottish Journal of Political Economy, Scottish Economic Society, volume 66, issue 1, pages 94-114, February, DOI: 10.1111/sjpe.12174.
• Laurent Ferrara & Clément Marsilli, 2019, "Nowcasting global economic growth: A factor‐augmented mixed‐frequency approach," The World Economy, Wiley Blackwell, volume 42, issue 3, pages 846-875, March, DOI: 10.1111/twec.12708.
• Juan Carlos Carlo Santos, 2019, "Pronósticos del PIB mediante modelos de factores dinámicos," Revista de Análisis del BCB, Banco Central de Bolivia, volume 30, issue 1, pages 125-174, January -.
• Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019, "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper, Norges Bank, number 2019/2, Jan.
• Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019, "News-driven inflation expectations and information rigidities," Working Paper, Norges Bank, number 2019/5, Feb.
• Agnieszka Borowska & Lennart Hoogerheide & Siem Jan Koopman & Herman K. van Dijk, 2019, "Partially Censored Posterior for robust and efficient risk evaluation," Working Paper, Norges Bank, number 2019/12, Aug.
• Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019, "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 01/2019, Jan.
• Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019, "News-driven inflation expectations and information rigidities," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 03/2019, Apr.
• Joel Suss & Henry Treitel, 2019, "Predicting bank distress in the UK with machine learning," Bank of England working papers, Bank of England, number 831, Oct.
• Jonathan Benchimol & Lahcen Bounader, 2019, "Optimal Monetary Policy under Bounded Rationality," Bank of Israel Working Papers, Bank of Israel, number 2019.07, Jul.
• Jonathan Benchimol & Makram El-Shagi, 2019, "Forecast Performance in Times of Terrorism," Bank of Israel Working Papers, Bank of Israel, number 2019.08, Jul.
• Bruno Deschamps & Christos Ioannidis & Kook Ka, 2019, "High-Frequency Credit Spread Information and Macroeconomic Forecast Revision," Working Papers, Economic Research Institute, Bank of Korea, number 2019-17, May.
• Rahul Roy & Santhakumar Shijin, 2019, "The nexus of anomalies-stock returns-asset pricing models: The international evidence," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, volume 19, issue 1, pages 1-14, March.
• Samuel Bazzi & Robert A. Blair & Christopher Blattman & Oeindrila Dube & Matthew Gudgeon & Richard Peck, 2019, "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series, Boston University - Department of Economics, number dp-328, Feb.
• Fugazza Carolina, 2019, "Anatomy of Non-Employment Risk," The B.E. Journal of Economic Analysis & Policy, De Gruyter, volume 19, issue 3, pages 1-19, July, DOI: 10.1515/bejeap-2018-0070.
• Heinisch Katja & Scheufele Rolf, 2019, "Should Forecasters Use Real-Time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence," German Economic Review, De Gruyter, volume 20, issue 4, pages 170-200, December, DOI: 10.1111/geer.12163.
• Bruttel Oliver & Baumann Arne & Dütsch Matthias, 2019, "Beschäftigungseffekte des gesetzlichen Mindestlohns: Prognosen und empirische Befunde," Perspektiven der Wirtschaftspolitik, De Gruyter, volume 20, issue 3, pages 237-253, September, DOI: 10.1515/pwp-2018-0035.
• Olimpia NEAGU, 2019, "Digital Divide Gap Convergence Across European Union: The Role Of Urbanisation," Contemporary Economy Journal, Constantin Brancoveanu University, volume 4, issue 1, pages 43-48.
• Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019, "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series, Faculty of Economics and Management at the Free University of Bozen, number BEMPS59, Feb.
• Ahmed, M. F. & Satchell, S, 2019, "Some Dynamic and Steady-State Properties of Threshold Autoregressions with Applications to Stationarity and Local Explosivity," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 1923, Mar.
• Han, Y. & Li, V. & Lam, J. & Pollitt, M., 2019, "How BLUE is the Sky? Estimating the Air Quality Data in Beijing During the Blue Sky Day Period (2008-2012) by the Bayesian LSTM Approach," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 1929, Mar.
• Miroslav Klucik, 2019, "Tracking the Course of the Economy (Nowcasting of basic macroeconomic indicators of Slovakia)," Working Papers, Council for Budget Responsibility, number Working Paper No. 1/2019, Jan.
• de Bondt, Gabe & Gieseck, Arne & Herrero, Pablo & Zekaite, Zivile, 2019, "Disaggregate income and wealth effects in the largest euro area countries," Research Technical Papers, Central Bank of Ireland, number 15/RT/19, Dec.
• Congressional Budget Office, 2019, "An Evaluation of CBO’s Past Deficit and Debt Projections," Reports, Congressional Budget Office, number 55234, Sep.
• Congressional Budget Office, 2019, "CBO’s Economic Forecasting Record: 2019 Update," Reports, Congressional Budget Office, number 55505, Oct.
• Congressional Budget Office, 2019, "The Accuracy of CBO’s Baseline Estimates for Fiscal Year 2019," Reports, Congressional Budget Office, number 55927, Dec.
• Hylke Vandenbussche & William Connell & Wouter Simons, 2019, "Global Value Chains, Trade Shocks and Jobs: An Application to Brexit," CESifo Working Paper Series, CESifo, number 7473.
• Domenico Delli Gatti & Jakob Grazzini, 2019, "Rising to the Challenge: Bayesian Estimation and Forecasting Techniques for Macroeconomic Agent-Based Models," CESifo Working Paper Series, CESifo, number 7894.
• Paul Schneider, 2019, "A Theory of Scenario Generation," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-17, Mar.
• Marc S. Paolella & Pawel Polak & Patrick S. Walker, 2019, "A Flexible Regime Switching Model for Asset Returns," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-27, May, revised May 2019.
• Rebecca Westphal & Didier Sornette, 2019, "Market Impact and Performance of Arbitrageurs of Financial Bubbles in An Agent-Based Model," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-29, Jun.
• Marc S. Paolella & Pawel Polak & Patrick S. Walker, 2019, "A Non-Elliptical Orthogonal GARCH Model for Portfolio Selection under Transaction Costs," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-51, Sep.
• Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019, "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers, CIRANO, number 2019s-22, Oct.
• Mateo Dulce Rubio, 2019, "Predicting criminal behavior with L√©vy flights using real data from Bogot√°," Documentos CEDE, Universidad de los Andes, Facultad de Economía, CEDE, number 17198, Feb.
• Alfredo Trespalacios & Lina M. Cort�s & Javier Perote, 2019, "Uncertainty in Electricity Markets from a seminonparametric Approach," Documentos de Trabajo de Valor Público, Universidad EAFIT, number 17304, Jun.
• Luis Sánchez & Karina Caballero, 2019, "La curva de Kuznets ambiental y su relación con el cambio climático en América Latina y el Caribe: un análisis de cointegración con panel, 1980-2015," Revista de Economía del Rosario, Universidad del Rosario, volume 22, issue 1, pages 101-142.
• Juan Pablo Alfonso Zorro, 2019, "Efectos de las variaciones del IPC en las decisiones financieras," Econógrafos, Escuela de Economía, Universidad Nacional de Colombia, FCE, CID, number 17329, Jul.
• Jorge Iván Pérez García & Mauricio Lopera Casta�o & Fredy Alonso V�squez Bedoya, 2019, "Una breve aplicación a la predicción de la fragilidad de empresas colombianas, mediante el uso de modelos estadísticos," Borradores Departamento de Economía, Universidad de Antioquia, CIE, number 17525, Sep.
• José Manuel Leguizamón Tiusabá, 2019, "Estímulos tributarios y hotelería en Colombia," Revista Economía y Región, Universidad Tecnológica de Bolívar, volume 13, issue 1, pages 177-198.
• Mateo Dulce Rubio, 2019, "Predicting criminal behavior with Levy flights using real data from Bogota," Documentos de Trabajo, Quantil, number 17347, Apr.
• Bekaert, Geert & Panayotov, George, 2019, "Good Carry, Bad Carry," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13463, Jan.
• Bekaert, Geert & Aloosh, Arash, 2019, "Currency Factors," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13464, Jan.
• Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019, "The Global Component of Inflation Volatility," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13470, Jan.
• Mueller, Hannes & Rauh, Christopher, 2019, "The Hard Problem of Prediction for Conflict Prevention," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13748, May.
• Blattman, Christopher & Dube, Oeindrila & Bazzi, Samuel & Gudgeon, Matthew & Peck, Richard & Blair, Robert, 2019, "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13829, Jun.
• Gambacorta, Leonardo & Brei, Michael & Borio, Claudio, 2019, "Bank intermediation activity in a low interest rate environment," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13980, Sep.
• Petrella, Ivan & Delle Monache, Davide & Venditti, Fabrizio, 2019, "Price Dividend Ratio and Long-Run Stock Returns: a Score Driven State Space Model," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14107, Nov.
• Mawuli Segnon & Stelios Bekiros, 2019, "Forecasting Volatility in Cryptocurrency Markets," CQE Working Papers, Center for Quantitative Economics (CQE), University of Muenster, number 7919, Mar.
• Laurent Ferrara & Anna Simoni, 2019, "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working Papers, Center for Research in Economics and Statistics, number 2019-04, Feb.
• González-Rivera, Gloria & Luo, Yun & Ruiz Ortega, Esther, 2019, "Prediction regions for interval-valued time series," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number 29054, Oct.
• Moura, Guilherme V. & Santos, André A. P. & Ruiz Ortega, Esther, 2019, "Comparing Forecasts of Extremely Large Conditional Covariance Matrices," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number 29291, Nov.
• Guillaume MAROIS & Patrick SABOURIN & Alain BÉLANGER, 2019, "Forecasting Human Capital of EU Member Countries Accounting for Sociocultural Determinants," JODE - Journal of Demographic Economics, Cambridge University Press, volume 85, issue 3, pages 231-269, September, DOI: 10.1017/dem.2019.4.
• Damià Rey Miró & Pedro V. Piffaut, 2019, "Índice de Calidad Financiera (iCF)," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, volume 42, issue 119, pages 189-206, Mayo.
• Fuwei Jiang & Joshua Lee & Xiumin Martin & Guofu Zhou, 2019, "Manager sentiment and stock returns," CEMA Working Papers, China Economics and Management Academy, Central University of Finance and Economics, number 677.
• Ibrahim D. Raheem & Kazeem Isah, 2019, "The Jolly Ride of International Reserves and Commodity Prices: Evidence from Predictive Models," Working Papers, Centre for Econometric and Allied Research, University of Ibadan, number 063, Mar.
• Elias A. Udeaja & Kazeem Isah, 2019, "Revisiting the accuracy of inflation forecasts in Nigeria: the oil price –exchange rate perspectives," Working Papers, Centre for Econometric and Allied Research, University of Ibadan, number 065, Apr.
• Fries, Sébastien & Zakoian, Jean-Michel, 2019, "Mixed Causal-Noncausal Ar Processes And The Modelling Of Explosive Bubbles," Econometric Theory, Cambridge University Press, volume 35, issue 6, pages 1234-1270, December.
• Voon, Derby & Fogarty, James, 2019, "A Note on Forecasting Alcohol Demand," Journal of Wine Economics, Cambridge University Press, volume 14, issue 2, pages 208-213, May.
• Barnett, William A. & Su, Liting, 2019, "Risk Adjustment Of The Credit-Card Augmented Divisia Monetary Aggregates," Macroeconomic Dynamics, Cambridge University Press, volume 23, issue S1, pages 90-114, September.
• Adelajda MATUKA, 2019, "Bank credit to the private sector: VECM approach for Albania," Journal of Economics and Political Economy, EconSciences Journals, volume 6, issue 2, pages 159-171, June.
• Julius N. ANYU & William G. DZEKASHU, 2019, "China’s enterprises in Africa: Market entry strategies, implications for capacity building, and corporate social responsibility," Journal of Economics and Political Economy, EconSciences Journals, volume 6, issue 2, pages 172-180, June.
• Brian MICALLEF, 2019, "Measuring the effects of structural reforms in Malta," Journal of Economics and Political Economy, EconSciences Journals, volume 6, issue 4, pages 344-367, December.
• Liaqat Ali CHANDIO & Amir Ahmed KHUHRO, 2019, "The US-Pakistan relationship in South Asia, 2001-2012: A case study of Afghanistan," Journal of Economics and Political Economy, EconSciences Journals, volume 6, issue 4, pages 383-391, December.
• Emilio Colombo & Matteo Pelagatti, 2019, "Statistical Learning and Exchange Rate Forecasting," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS), number dis1901.
• Konstantin A. Kholodilin & Claus Michelsen, 2019, "High Risk of a Housing Bubble in Germany and Most OECD Countries," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, volume 9, issue 32, pages 265-273.
• Konstantin A. Kholodilin & Claus Michelsen, 2019, "Das Risiko einer Immobilienpreisblase ist in Deutschland sowie in den meisten OECD-Ländern hoch," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, volume 86, issue 32, pages 547-555.
• Page, Adrian & Lambrias, Kyriacos, 2019, "The performance of the Eurosystem/ECB staff macroeconomic projections since the financial crisis," Economic Bulletin Articles, European Central Bank, volume 8.
• Angelini, Elena & Lalik, Magdalena & Lenza, Michele & Paredes, Joan, 2019, "Mind the gap: a multi-country BVAR benchmark for the Eurosystem projections," Working Paper Series, European Central Bank, number 2227, Jan.
• Foroni, Claudia & Ravazzolo, Francesco & Rossini, Luca, 2019, "Forecasting daily electricity prices with monthly macroeconomic variables," Working Paper Series, European Central Bank, number 2250, Mar.
• Kontogeorgos, Georgios & Lambrias, Kyriacos, 2019, "An analysis of the Eurosystem/ECB projections," Working Paper Series, European Central Bank, number 2291, Jun.
• Chavleishvili, Sulkhan & Manganelli, Simone, 2019, "Forecasting and stress testing with quantile vector autoregression," Working Paper Series, European Central Bank, number 2330, Nov.
• de Bondt, Gabe & Gieseck, Arne & Zekaite, Zivile & Herrero, Pablo, 2019, "Disaggregate income and wealth effects in the largest euro area countries," Working Paper Series, European Central Bank, number 2343, Dec.
• Yao Thibaut Kpegli & Bator Anne, 2019, "Poisson-model Analysis of Power Alternation in Africa," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 1, pages 116-120.
• Chin-Sheng Huang & Yi-Sheng Liu, 2019, "Machine Learning on Stock Price Movement Forecast: The Sample of the Taiwan Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 2, pages 189-201.
• Mariem Talbi & Amel Ben Halima, 2019, "Global Contagion of Investor Sentiment during the US Subprime Crisis: The Case of the USA and the Region of Latin America," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 3, pages 163-174.
• Arindam Banerjee, 2019, "Forecasting of India VIX as a Measure of Sentiment," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 3, pages 268-276.
• Chia-Cheng Chen & Yisheng Liu & Ting-Hsin Hsu, 2019, "An Analysis on Investment Performance of Machine Learning: An Empirical Examination on Taiwan Stock Market," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 4, pages 1-10.
• Ademola Abdulkareem & E. J. Okoroafor & Ayokunle Awelewa & Aderibigbe Adekitan, 2019, "Pseudo-Inverse Matrix Model for Estimating Long-Term Annual Peak Electricity Demand: The Covenant University s Experience," International Journal of Energy Economics and Policy, Econjournals, volume 9, issue 4, pages 103-109.
• Warsono Warsono & Edwin Russel & Wamiliana Wamiliana & Widiarti Widiarti & Mustofa Usman, 2019, "Modeling and Forecasting by the Vector Autoregressive Moving Average Model for Export of Coal and Oil Data (Case Study from Indonesia over the Years 2002-2017)," International Journal of Energy Economics and Policy, Econjournals, volume 9, issue 4, pages 240-247.
• Lucheroni, Carlo & Boland, John & Ragno, Costantino, 2019, "Scenario generation and probabilistic forecasting analysis of spatio-temporal wind speed series with multivariate autoregressive volatility models," Applied Energy, Elsevier, volume 239, issue C, pages 1226-1241, DOI: 10.1016/j.apenergy.2019.02.015.
• Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2019, "Does a financial accelerator improve forecasts during financial crises? Evidence from Japan with prediction-pooling methods," Journal of Asian Economics, Elsevier, volume 60, issue C, pages 45-68, DOI: 10.1016/j.asieco.2018.10.005.
• Guo, Jing & Zhang, Zhengyu, 2019, "Does renaming promote economic development? New evidence from a city-renaming reform experiment in China," China Economic Review, Elsevier, volume 57, issue C, DOI: 10.1016/j.chieco.2019.101344.
• McKenzie, David & Sansone, Dario, 2019, "Predicting entrepreneurial success is hard: Evidence from a business plan competition in Nigeria," Journal of Development Economics, Elsevier, volume 141, issue C, DOI: 10.1016/j.jdeveco.2019.07.002.
• Bolt, Wilko & Demertzis, Maria & Diks, Cees & Hommes, Cars & Leij, Marco van der, 2019, "Identifying booms and busts in house prices under heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, volume 103, issue C, pages 234-259, DOI: 10.1016/j.jedc.2019.04.003.
• Kapetanios, George & Masolo, Riccardo M. & Petrova, Katerina & Waldron, Matthew, 2019, "A time-varying parameter structural model of the UK economy," Journal of Economic Dynamics and Control, Elsevier, volume 106, issue C, pages 1-1, DOI: 10.1016/j.jedc.2019.05.012.
• Fiszeder, Piotr & Fałdziński, Marcin, 2019, "Improving forecasts with the co-range dynamic conditional correlation model," Journal of Economic Dynamics and Control, Elsevier, volume 108, issue C, DOI: 10.1016/j.jedc.2019.103736.
• Zhang, Han & Fan, Xiaoyun & Guo, Bin & Zhang, Wei, 2019, "Reexamining time-varying bond risk premia in the post-financial crisis era," Journal of Economic Dynamics and Control, Elsevier, volume 109, issue C, DOI: 10.1016/j.jedc.2019.103777.
• Plachel, Lukas, 2019, "A unified model for regularized and robust portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, volume 109, issue C, DOI: 10.1016/j.jedc.2019.103779.
• Kolidakis, Stylianos & Botzoris, George & Profillidis, Vassilios & Lemonakis, Panagiotis, 2019, "Road traffic forecasting — A hybrid approach combining Artificial Neural Network with Singular Spectrum Analysis," Economic Analysis and Policy, Elsevier, volume 64, issue C, pages 159-171, DOI: 10.1016/j.eap.2019.08.002.
• Zhang, Yaojie & Ma, Feng & Zhu, Bo, 2019, "Intraday momentum and stock return predictability: Evidence from China," Economic Modelling, Elsevier, volume 76, issue C, pages 319-329, DOI: 10.1016/j.econmod.2018.08.009.
• Zhang, Yaojie & Zeng, Qing & Ma, Feng & Shi, Benshan, 2019, "Forecasting stock returns: Do less powerful predictors help?," Economic Modelling, Elsevier, volume 78, issue C, pages 32-39, DOI: 10.1016/j.econmod.2018.09.014.
• El-Shagi, Makram, 2019, "Rationality tests in the presence of instabilities in finite samples," Economic Modelling, Elsevier, volume 79, issue C, pages 242-246, DOI: 10.1016/j.econmod.2018.11.011.
• González-Astudillo, Manuel & Baquero, Daniel, 2019, "A nowcasting model for Ecuador: Implementing a time-varying mean output growth," Economic Modelling, Elsevier, volume 82, issue C, pages 250-263, DOI: 10.1016/j.econmod.2019.01.010.
• Tissaoui, Kais & Azibi, Jamel, 2019, "International implied volatility risk indexes and Saudi stock return-volatility predictabilities," The North American Journal of Economics and Finance, Elsevier, volume 47, issue C, pages 65-84, DOI: 10.1016/j.najef.2018.11.016.
• Salisu, Afees A. & Isah, Kazeem & Akanni, Lateef O., 2019, "Improving the predictability of stock returns with Bitcoin prices," The North American Journal of Economics and Finance, Elsevier, volume 48, issue C, pages 857-867, DOI: 10.1016/j.najef.2018.08.010.
• Nonejad, Nima, 2019, "Forecasting aggregate equity return volatility using crude oil price volatility: The role of nonlinearities and asymmetries," The North American Journal of Economics and Finance, Elsevier, volume 50, issue C, DOI: 10.1016/j.najef.2019.101022.
• Paccagnini, Alessia, 2019, "Did financial factors matter during the Great Recession?," Economics Letters, Elsevier, volume 174, issue C, pages 26-30, DOI: 10.1016/j.econlet.2018.10.005.
• Delle Monache, Davide & Petrella, Ivan, 2019, "Efficient matrix approach for classical inference in state space models," Economics Letters, Elsevier, volume 181, issue C, pages 22-27, DOI: 10.1016/j.econlet.2019.04.012.
• Uddin, Gazi Salah & Gençay, Ramazan & Bekiros, Stelios & Sahamkhadam, Maziar, 2019, "Enhancing the predictability of crude oil markets with hybrid wavelet approaches," Economics Letters, Elsevier, volume 182, issue C, pages 50-54, DOI: 10.1016/j.econlet.2019.05.041.
• Cuesta, Jose & Chagalj, Cristian, 2019, "Measuring poverty with administrative data in data deprived contexts: The case of Nicaragua," Economics Letters, Elsevier, volume 183, issue C, pages 1-1, DOI: 10.1016/j.econlet.2019.108573.
• Gozgor, Giray & Lau, Chi Keung Marco & Sheng, Xin & Yarovaya, Larisa, 2019, "The role of uncertainty measures on the returns of gold," Economics Letters, Elsevier, volume 185, issue C, DOI: 10.1016/j.econlet.2019.108680.
• Kim, Donggyu & Fan, Jianqing, 2019, "Factor GARCH-Itô models for high-frequency data with application to large volatility matrix prediction," Journal of Econometrics, Elsevier, volume 208, issue 2, pages 395-417, DOI: 10.1016/j.jeconom.2018.10.003.
• Rossi, Barbara & Sekhposyan, Tatevik, 2019, "Alternative tests for correct specification of conditional predictive densities," Journal of Econometrics, Elsevier, volume 208, issue 2, pages 638-657, DOI: 10.1016/j.jeconom.2018.07.008.
• Liao, Jun & Zong, Xianpeng & Zhang, Xinyu & Zou, Guohua, 2019, "Model averaging based on leave-subject-out cross-validation for vector autoregressions," Journal of Econometrics, Elsevier, volume 209, issue 1, pages 35-60, DOI: 10.1016/j.jeconom.2018.10.007.
• Boot, Tom & Nibbering, Didier, 2019, "Forecasting using random subspace methods," Journal of Econometrics, Elsevier, volume 209, issue 2, pages 391-406, DOI: 10.1016/j.jeconom.2019.01.009.
• Koop, Gary & Korobilis, Dimitris & Pettenuzzo, Davide, 2019, "Bayesian compressed vector autoregressions," Journal of Econometrics, Elsevier, volume 210, issue 1, pages 135-154, DOI: 10.1016/j.jeconom.2018.11.009.
• McAlinn, Kenichiro & West, Mike, 2019, "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, volume 210, issue 1, pages 155-169, DOI: 10.1016/j.jeconom.2018.11.010.
• Kastner, Gregor, 2019, "Sparse Bayesian time-varying covariance estimation in many dimensions," Journal of Econometrics, Elsevier, volume 210, issue 1, pages 98-115, DOI: 10.1016/j.jeconom.2018.11.007.
• Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2019, "Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors," Journal of Econometrics, Elsevier, volume 212, issue 1, pages 137-154, DOI: 10.1016/j.jeconom.2019.04.024.
• Korobilis, Dimitris & Pettenuzzo, Davide, 2019, "Adaptive hierarchical priors for high-dimensional vector autoregressions," Journal of Econometrics, Elsevier, volume 212, issue 1, pages 241-271, DOI: 10.1016/j.jeconom.2019.04.029.
• Giessing, Alexander & He, Xuming, 2019, "On the predictive risk in misspecified quantile regression," Journal of Econometrics, Elsevier, volume 213, issue 1, pages 235-260, DOI: 10.1016/j.jeconom.2019.04.013.
• Paolella, Marc S. & Polak, Paweł & Walker, Patrick S., 2019, "Regime switching dynamic correlations for asymmetric and fat-tailed conditional returns," Journal of Econometrics, Elsevier, volume 213, issue 2, pages 493-515, DOI: 10.1016/j.jeconom.2019.07.002.
• Sutton, Maxwell & Vasnev, Andrey L. & Gerlach, Richard, 2019, "Mixed interval realized variance: A robust estimator of stock price volatility," Econometrics and Statistics, Elsevier, volume 11, issue C, pages 43-62, DOI: 10.1016/j.ecosta.2018.06.001.
• Leippold, Markus & Yang, Hanlin, 2019, "Particle filtering, learning, and smoothing for mixed-frequency state-space models," Econometrics and Statistics, Elsevier, volume 12, issue C, pages 25-41, DOI: 10.1016/j.ecosta.2019.07.001.
• Ghysels, Eric & Qian, Hang, 2019, "Estimating MIDAS regressions via OLS with polynomial parameter profiling," Econometrics and Statistics, Elsevier, volume 9, issue C, pages 1-16, DOI: 10.1016/j.ecosta.2018.02.001.
• Al-Sadoon, Majid M., 2019, "Testing subspace Granger causality," Econometrics and Statistics, Elsevier, volume 9, issue C, pages 42-61, DOI: 10.1016/j.ecosta.2017.08.003.

2018

• Philip Hans Franses, 2018, "Prediction Intervals For Expert-Adjusted Forecasts," Advances in Decision Sciences, Asia University, Taiwan, volume 22, issue 1, pages 308-320, December.
• Emilio Zanetti Chini, 2018, "Forecaster’s utility and forecasts coherence," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-01, Jan.
• Torben G. Andersen & Rasmus T. Varneskov, 2018, "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-09, Feb.
• Isabel Casas & Xiuping Mao & Helena Veiga, 2018, "Reexamining financial and economic predictability with new estimators of realized variance and variance risk premium," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-10, Mar.
• Emilio Zanetti Chini, 2018, "Forecasters’ utility and forecast coherence," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-23, Aug.
• Erik Christian Montes Schütte, 2018, "In Search of a Job: Forecasting Employment Growth in the US using Google Trends," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-25, Aug.
• Sebastian Ankargren & Måns Unosson & Yukai Yang, 2018, "A mixed-frequency Bayesian vector autoregression with a steady-state prior," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-32, Dec.
• James Barth & Sunghoon Joo & Hyeongwoo Kim & Kang Bok Lee & Stevan Maglic & Xuan Shen, 2018, "Forecasting Net Charge-Off Rates of Banks: A PLS Approach," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2018-03, Apr.
• Emerson Abraham Jackson & Edmond Tamuke & Abdulai Sillah, 2018, "Modelling Monthly Headline Consumer Price Index (HCPI) through Seasonal Box-Jenkins Methodology," International Journal of Sciences, Office ijSciences, volume 7, issue 01, pages 51-56, January, DOI: 10.18483/ijSci.1507.
• Rahul Deb & Mallesh M. Pai & Maher Said, 2018, "Evaluating Strategic Forecasters," American Economic Review, American Economic Association, volume 108, issue 10, pages 3057-3103, October.
• Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2018, "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change," AEA Papers and Proceedings, American Economic Association, volume 108, pages 77-82, May.
• Sriyana, Jaka, 2018, "Inflationary effects of fiscal and monetary policies in Indonesia," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), volume 14, issue 3, June, DOI: 10.22004/ag.econ.287222.
• Emrah Gulay, 2018, "Comparing Simple Forecasting Methods and Complex Methods: A Frame of Forecasting Competition," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, volume 65, issue 2, pages 159-169, June.
• Marco Ginanneschi & Pietro Piu, 2018, "The Role of e-Commerce in the Success of Low-cost Carriers," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, volume 65, issue 4, pages 407-425, December.
• Hanna Tarasova, 2018, "Scientific and methodical approach to adaptive diversification of industrial enterprise development under crisis conditions," Virtual Economics, The London Academy of Science and Business, volume 1, issue 1, pages 42-52, October, DOI: 10.34021/ve.2018.01.01(3).
• Serge Darolles & Christian Francq & Sébastien Laurent, 2018, "Asymptotics of Cholesky GARCH Models and Time-Varying Conditional Betas," AMSE Working Papers, Aix-Marseille School of Economics, France, number 1845, Dec.
• Wang, Cindy Shin-Huei & Hafner, Christian, 2018, "A simple solution of the spurious regression problem," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2018044, Jan.
• Mioara POPESCU, 2018, "Data Mining For Analysing Trends And Customer Behaviour Via Internet Searches," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, volume 1, issue 20, pages 1-7.
• Milind Tiwari, 2018, "Shell Companies – Identification of an Instrument Used for Illicit Purposes: A Pitch," Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, volume 17, issue 4, pages 685-692, December.
• Allan Timmermann, 2018, "Forecasting Methods in Finance," Annual Review of Financial Economics, Annual Reviews, volume 10, issue 1, pages 449-479, November, DOI: 10.1146/annurev-financial-110217-02.
• Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018, "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, volume 10, issue 1, pages 615-643, August, DOI: 10.1146/annurev-economics-080217-05.
• Oscar Claveria & Enric Monte & Salvador Torra, 2018, "“A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 201802, Apr, revised Apr 2018.
• Oscar Claveria, 2018, "“A new metric of consensus for Likert scales”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 201810, Oct, revised Oct 2018.
• Ricardo Crisostomo & Lorena Couso, 2018, "Financial density forecasts: A comprehensive comparison of risk-neutral and historical schemes," Papers, arXiv.org, number 1801.08007, Jan, revised May 2018.
• David Lee, 2018, "Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," Papers, arXiv.org, number 1804.02289, Apr.
• Michael Stanley Smith & Thomas S. Shively, 2018, "Econometric Modeling of Regional Electricity Spot Prices in the Australian Market," Papers, arXiv.org, number 1804.08218, Apr.
• Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2018, "Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers," Papers, arXiv.org, number 1804.08315, Apr.
• Laura Liu, 2018, "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," Papers, arXiv.org, number 1805.04178, May, revised Oct 2021.
• Florian Ziel & Rafal Weron, 2018, "Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks," Papers, arXiv.org, number 1805.06649, May.
• Victor Chernozhukov & Wolfgang K. Hardle & Chen Huang & Weining Wang, 2018, "LASSO-Driven Inference in Time and Space," Papers, arXiv.org, number 1806.05081, Jun, revised May 2020.
• Ray Fair, 2018, "Information Content of DSGE Forecasts," Papers, arXiv.org, number 1808.02910, Aug.
• Carol Alexander & Emese Lazar & Silvia Stanescu, 2018, "Analytic Moments for GARCH Processes," Papers, arXiv.org, number 1808.09666, Aug, revised Sep 2018.
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• Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018, "On LASSO for Predictive Regression," Papers, arXiv.org, number 1810.03140, Oct, revised Feb 2021.
• Tobias Hartl & Roland Weigand, 2018, "Multivariate Fractional Components Analysis," Papers, arXiv.org, number 1812.09149, Dec, revised Jan 2019.
• Renáta Myšková & Petr Hájek & Vladimír Olej, 2018, "Predicting Abnormal Stock Return Volatility Using Textual Analysis of News ? A Meta-Learning Approach," The Audit Financiar journal, Chamber of Financial Auditors of Romania, volume 20, issue 47, pages 185-185, February.
• Ivan Kozic, 2018, "Medium-Term Forecast Of Tourism Activity In Croatia," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, volume 27, issue 2, pages 419-437, december.
• Dario Buono & George Kapetanios & Massimiliano Marcellino & Gianluigi Mazzi & Fotis Papailias, 2018, "Big Data Econometrics: Now Casting and Early Estimates," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 1882.
• Massimo Guidolin & Alexei G. Orlov, 2018, "Can Investors Benefit from Hedge Fund Strategies? Utility-Based, Out-of-Sample Evidence," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 1887.
• Massimo Guidolin & Andrea Ricci, 2018, "Arbitrage Risk and Investor Sentiment as Causes of Persistent Mispricing: the European Evidence," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 1888.
• Massimo Guidolin & Andrea Ricci, 2018, "Arbitrage Risk and Investor Sentiment as Causes of Persistent Mispricing: the European Evidence," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 1889.
• Massimo Guidolin & Alexei Orlov, 2018, "Can Investors Benefit from Hedge Fund Strategies? Utility-Based, Out-of-Sample Evidence," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 1890.
• Nataliya Bondarchuk & Lesya Vasiljeva, 2018, "Impact Of Operating Costs On Economic Phenomena And The Possibility Of Their Optimization At Processors," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", volume 4, issue 2, DOI: 10.30525/2256-0742/2018-4-2-40-46.
• Olha Kaut & Dmytro Kozenkov & Valentyna Lebedieva, 2018, "Organizational And Methodological Aspects Of Management Of Economic Consequences Of Technical Risks," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", volume 4, issue 3, DOI: 10.30525/2256-0742/2018-4-3-104-114.
• Stavros Degiannakis & George Filis, 2018, "Forecasting European Economic Policy Uncertainty," BAFES Working Papers, Department of Accounting, Finance & Economic, Bournemouth University, number BAFES15, Mar.
• Antonio Stasi & Francesco Diotallevi & Andrea Marchini & Gianluca Nardone, 2018, "Italian Extra-Virgin Olive Oil: Impact on Demand on Being Market Leaders, Private Labels or Small Producers," Review of Economics & Finance, Better Advances Press, Canada, volume 13, pages 39-54, August.
• Stephen Wright & James Mitchell & Donald Robertson, 2018, "R2 bounds for predictive models: what univariate properties tell us about multivariate predictability," Birkbeck Working Papers in Economics and Finance, Birkbeck, Department of Economics, Mathematics & Statistics, number 1804, Apr.
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• Lise Pichette & Marie-Noëlle Robitaille & Mohanad Salameh & Pierre St-Amant, 2018, "Dismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation," Staff Working Papers, Bank of Canada, number 18-10, DOI: 10.34989/swp-2018-10.
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• Mar Delgado-Téllez & Javier J. Pérez, 2018, "Institutional and economic determinants of regional public debt in Spain," Occasional Papers, Banco de España, number 1807, Jul.
• Pablo Aguilar & Jesús Vázquez, 2018, "Term structure and real-time learning," Working Papers, Banco de España, number 1803, Jan.
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• María Gil & Javier J. Pérez & A. Jesús Sánchez & Alberto Urtasun, 2018, "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," Working Papers, Banco de España, number 1842, Dec.
• Simone Emiliozzi & Elisa Guglielminetti & Michele Loberto, 2018, "Forecasting house prices in Italy," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 463, Oct.
• Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2018, "The global component of inflation volatility," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1170, Apr.
• Libero Monteforte & Valentina Raponi, 2018, "Short term forecasts of economic activity: are fortnightly factors useful?," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1177, Jun.
• Gálvez-Soriano Oscar de Jesús, 2018, "Nowcasting Mexican GDP using Factor Models and Bridge Equations," Working Papers, Banco de México, number 2018-06, Jun.
• Carlos León & Fabio Ortega, 2018, "Nowcasting economic activity with electronic payments data: A predictive modeling approach," Borradores de Economia, Banco de la Republica de Colombia, number 1037, Feb, DOI: 10.32468/be.1037.
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• Timothée Stumpf-Fétizon & Omiros Papaspiliopoulos & José García-Montalvo, 2018, "Bayesian Forecasting of Electoral Outcomes with new Parties' Competition," Working Papers, Barcelona School of Economics, number 1065, Dec.
• Gergely Ganics & Atsushi Inoue & Barbara Rossi, 2019, "Confidence Intervals for Bias and Size Distortion in IV and Local Projections–IV Models," Working Papers, Barcelona School of Economics, number 1077, Mar.
• Atsushi Inoue & Barbara Rossi, 2019, "The Effects of Conventional and Unconventional Monetary Policy on Exchange Rates," Working Papers, Barcelona School of Economics, number 1078, Mar.
• Benjamin K Johannsen & Elmar Mertens, 2018, "A time series model of interest rates with the effective lower bound," BIS Working Papers, Bank for International Settlements, number 715, Apr.
• Michael Brei & Ramon Moreno, 2018, "Reserve requirements and capital flows in Latin America," BIS Working Papers, Bank for International Settlements, number 741, Aug.
• Erzsebet Eva Nagy & Veronika Tengely, 2018, "External and Domestic Drivers of Inflation: The Case Study of Hungary," Russian Journal of Money and Finance, Bank of Russia, volume 77, issue 3, pages 49-64, September, DOI: 10.31477/rjmf.201803.49.