Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting

2016

• Mikhail Khromov & Yuri Bobylev & Sergey Tsukhlo & E. Avraamova & D. Loginov & O. Rasenko & Ekaterina Ponomareva & Sergey Sudakov, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 23, pages 1-27, April.
• Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Averkiev Vladimir & Shishkina Ekaterina & Florinskaya Yulia & Mkrtchian N. & S, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
• Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
• Drobyshevsky Sergey & Kazakova Maria & Tsukhlo Sergey & Lyashok Viktor, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 27, pages 1-24, May.
• Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Nat, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
• Bozhechkova Alexandra & Trunin Pavel & Grishina Elena & Khromov Mikhail & Tsukhlo Sergey & Deryugin Alexander & Burdyak Alexandra, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 31, pages 1-27, July.
• Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 32, pages 1-27, September.
• Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Averkiev Vladimir & Vedev Alexey & Gurevich Vladimir, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 33, pages 1-19, September.
• Idrisov Georgy & Avraamova Elena & Khromov Mikhail & Tsukhlo Sergey & Shagaida Natalia & Kaukin Andrey & Gurevich Vladimir & Loginov Dmitry & Pavlov Pavel, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 35, pages 1-23, November.
• Khromov Mikhail & Tsukhlo Sergey & Florinskaya Yulia & Mkrtchian N. & Mamedov Arseny & Fomina Elena & Gurevich Vladimir, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 37, pages 1-20, December.
• Knobel Alexander & Firanchuk Alexander & Kaukin Andrey & Zubarevich Natalia & Gurevich Vladimir & Miller Evgenia, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 38, pages 1-23, December.
• Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
• Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
• Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
• Alexandra Bozhechkova & Alexander Knobel & Sergey Tsukhlo & Elena Grishina & Pavel Trunin & Alexander Firanchuk & Olga Berezinskaya, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 22, pages 1-27, March.
• Mikhail Khromov & Yuri Bobylev & Sergey Tsukhlo & E. Avraamova & D. Loginov & O. Rasenko & Ekaterina Ponomareva & Sergey Sudakov, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 23, pages 1-27, March.
• Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shishkina Ekaterina & Uzun Vasily & Flor, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
• Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
• Drobyshevsky Sergey & Kazakova Maria & Idrisov Georgy & Tsukhlo Sergey & Lyashok Viktor, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 27, pages 1-24, May.
• Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Natalia & Kiyutsevskaya Ann, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
• Bozhechkova Alexandra & Trunin Pavel & Grishina Elena & Khromov Mikhail & Tsukhlo Sergey & Deryugin Alexander & Burdyak Alexandra, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 31, pages 1-27, July.
• Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 32, pages 1-27, September.
• Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Averkiev Vladimir & Vedev Alexey & Gurevich Vladimir, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 33, pages 1-19, September.
• Idrisov Georgy & Avraamova Elena & Tsukhlo Sergey & Shagaida Natalia & Kaukin Andrey & Gurevich Vladimir & Loginov Dmitry & Pavlov Pavel, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 35, pages 1-23, November.
• Khromov Mikhail & Tsukhlo Sergey & Florinskaya Yulia & Mkrtchyan Nikita & Mamedov Arseny & Fomina Elena & Gurevich Vladimir, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 37, pages 1-20, December.
• Knobel Alexander & Firanchuk Alexander & Kaukin Andrey & Zubarevich Natalia & Gurevich Vladimir & Miller Evgenia, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 38, pages 1-23, December.
• Idrisov Georgy & Kaukin Andrey & Ponomarev Yuri, 2016, "Industrial production dynamics in particular sectors of Russian industry," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2016-253, revised 2016.
• Tsukhlo Sergey, 2016, "Russian industrial enterprises in 2015 (on the basis of business surveys)," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2016-254, revised 2016.
• Francesco Audrino & Yujia Hu, 2016, "Volatility Forecasting: Downside Risk, Jumps and Leverage Effect," Econometrics, MDPI, volume 4, issue 1, pages 1-24, February.
• Bartosz Uniejewski & Jakub Nowotarski & Rafał Weron, 2016, "Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting," Energies, MDPI, volume 9, issue 8, pages 1-22, August.
• David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2016, "Nonlinear Time Series and Neural-Network Models of Exchange Rates between the US Dollar and Major Currencies," Risks, MDPI, volume 4, issue 1, pages 1-14, March.
• Bruno Lanz & Simon Dietz & Tim Swanson, 2016, "Global Population Growth, Technology and Malthusian Constraints: A Quantitative Growth Theoretic Perspective," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 04-2016, May, revised 18 May 2016.
• Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016, "Bayesian Compressed Vector Autoregressions," Working Papers, Business School - Economics, University of Glasgow, number 2016_09, Mar.
• Yuxuan Huang, 2016, "Forecasting the USD/CNY Exchange Rate under Different Policy Regimes," Working Papers, The George Washington University, The Center for Economic Research, number 2016-001, Jan.
• Ulrich Heilemann & Susanne Schnorr-Bäcker, 2016, "Could The Start Of The German Recession 2008-2009 Have Been Foreseen? Evidence From Real-Time Data," Working Papers, The George Washington University, The Center for Economic Research, number 2016-003, Feb.
• Herman O. Stekler & Yongchen Zhao, 2016, "Predicting U.S. Business Cycle Turning Points Using Real-Time Diffusion Indexes Based on a Large Data Set," Working Papers, The George Washington University, The Center for Economic Research, number 2016-006, Sep.
• Neil R. Ericsson, 2016, "Economic Forecasting in Theory and Practice: An Interview with David F. Hendry," Working Papers, The George Washington University, The Center for Economic Research, number 2016-012, Nov.
• Constantin Burgi, 2016, "What Do We Lose When We Average Expectations?," Working Papers, The George Washington University, The Center for Economic Research, number 2016-013.
• Zeineb Affes & Rania Hentati-Kaffel, 2016, "Predicting US banks bankruptcy: logit versus Canonical Discriminant analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number halshs-01281948, Feb.
• Denisa Banulescu-Radu & Christophe Hurlin & Bertrand Candelon & Sébastien Laurent, 2016, "Do We Need High Frequency Data to Forecast Variances?," Post-Print, HAL, number hal-01448237, Dec, DOI: 10.15609/annaeconstat2009.123-124.0.
• Serge Darolles & Christian Francq & Sébastien Laurent, 2016, "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print, HAL, number hal-04590533, Dec.
• Jorge Cabrera Delgado & Patrick Bonnel, 2016, "Level of aggregation of zoning and temporal transferability of the gravity distribution model: The case of Lyon," Post-Print, HAL, number halshs-01328761, Feb, DOI: 10.1016/j.jtrangeo.2015.10.016.
• Rosnan Chotard & Michel Dacorogna & Marie Kratz, 2016, "Risk Measure Estimates in Quiet and Turbulent Times:An Empirical Study," Working Papers, HAL, number hal-01424285, Nov.
• Rachidi Kotchoni & Dalibor Stevanovic, 2016, "Forecasting U.S. Recessions and Economic Activity," Working Papers, HAL, number hal-04141569.
• Kruse, Robinson & Leschinski, Christian & Will, Michael, 2016, "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-571, Feb.
• Vanella, Patrizio, 2016, "The Total Fertility Rate in Germany until 2040 - A Stochastic Principal Components Projection based on Age-specific Fertility Rates," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-579, Aug.
• Tine Hufkens & Gerlinde Verbist, 2016, "The distributive effects of work-family life policies in European welfare states," ImPRovE Working Papers, Herman Deleeck Centre for Social Policy, University of Antwerp, number 16/09, Mar.
• Mossfeldt, Marcus & Stockhammar, Pär, 2016, "Forecasting Goods and Services Inflation in Sweden," Working Papers, National Institute of Economic Research, number 146, Oct.
• Andersson, Michael K. & Aranki, Ted & Reslow, André, 2016, "Adjusting for Information Content when Comparing Forecast Performance," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 328, Aug.
• Alexander Yu. Apokin & Irina B. Ipatova, 2016, "Structural Breaks in Potential GDP Of Three Major Economies: Just Impaired Credit or the “New Normal”?," HSE Working papers, National Research University Higher School of Economics, number WP BRP 142/EC/2016.
• Sergey Egiev, 2016, "On Persistence of Uncertainty Shocks," HSE Working papers, National Research University Higher School of Economics, number WP BRP 144/EC/2016.
• Fahima Charef & Fethi Ayachi, 2016, "A Comparison between Neural Networks and GARCH Models in Exchange Rate Forecasting," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, volume 6, issue 1, pages 94-99, January.
• Fahima Charef & Fethi Ayachi, 2016, "A Comparison between Neural Networks and GARCH Models in Exchange Rate Forecasting," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, volume 6, issue 1, pages 244-253, January.
• John Dairo Ramirez Aristizabal & Eduardo Alexander Duque Grisales, 2016, "Design Of A Investment Portfolio Using Non-Linear Programming: Case Of Colombia 2013-2014, Diseno De Un Portafolio De Inversion A Partir De Un Modelo De Programacion No Lineal: Caso Colombia 2013-2014," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, volume 9, issue 2, pages 31-47.
• Maciej Lis & Agata Miazga & Michal Ramsza, 2016, "Dynamiczne wlasnosci miar ubostwa energetycznego," IBS Research Reports, Instytut Badan Strukturalnych, number 01/2016, Jan.
• Pierre L. Siklos, 2016, "Forecast Disagreement and the Inflation Outlook: New International Evidence," IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan, number 16-E-03, Mar.
• Mr. Francesco Grigoli & Mr. Mario Mansilla & Martín Saldías, 2016, "Macro-Financial Linkages and Heterogeneous Non-Performing Loans Projections: An Application to Ecuador," IMF Working Papers, International Monetary Fund, number 2016/236, Dec.
• Jörg Breitung & Sven Schreiber, 2016, "Assessing Causality and Delay within a Frequency Band," IMK Working Paper, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute, number 165-2016.
• Guillermo Benavides Perales, 2016, "Exchange Rate Risk Premium: An Analysis of its Determinants for the Mexican Peso-USD," 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 11, issue 1, pages 55-77, Enero-Jun.
• Shovan Ray & A. Ganesh Kumar & Sumana Chaudhuri, 2016, "Integrated model of computable general equilibrium and social cost benefit analysis of an Indian oil refinery: Future projections and macroeconomic effects," Indira Gandhi Institute of Development Research, Mumbai Working Papers, Indira Gandhi Institute of Development Research, Mumbai, India, number 2016-024, Jul.
• Reto Stauffer & Jakob W. Messner & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2016, "Spatio-Temporal Precipitation Climatology over Complex Terrain Using a Censored Additive Regression Model," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-07, Apr.
• Markus Dabernig & Georg J. Mayr & Jakob W. Messner & Achim Zeileis, 2016, "Spatial Ensemble Post-Processing with Standardized Anomalies," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-08, Apr.
• Achim Zeileis & Christoph Leitner & Kurt Hornik, 2016, "Predictive Bookmaker Consensus Model for the UEFA Euro 2016," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-15, May.
• Reto Stauffer & Jakob W. Messner & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2016, "Ensemble Post-Processing of Daily Precipitation Sums over Complex Terrain Using Censored High-Resolution Standardized Anomalies," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-21, Jul.
• Manuel Gebetsberger & Jakob W. Messner & Georg J. Mayr & Achim Zeileis, 2016, "Tricks for improving non-homogeneous regression for probabilistic precipitation forecasts: Perfect predictions, heavy tails, and link functions," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-28, Oct.
• Markus Dabernig & Georg J. Mayr & Jakob W. Messner & Achim Zeileis, 2016, "Simultaneous Ensemble Post-Processing for Multiple Lead Times with Standardized Anomalies," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-31, Oct.
• Rangan Gupta & Shawkat Hammoudeh & Mampho P. Modise & Duc Khuong Nguyen, 2013, "Can Economic Uncertainty, Financial Stress and Consumer Sentiments Predict U.S. Equity Premium?," Working Papers, Department of Research, Ipag Business School, number 2013-20, Jan.
• Bangzhu Zhu & Xuetao Shi & Julien Chevallier & Ping Wang & Yi-Ming Wei, 2016, "An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting," Working Papers, Department of Research, Ipag Business School, number 2016-004, Jan.
• Bruno Lanz & Simon Dietz & Tim Swanson, 2016, "Global population growth, technology and Malthusian constraints: A quantitative growth theoretic perspective," IRENE Working Papers, IRENE Institute of Economic Research, number 16-05, Oct.
• Antonio Cappiello, 2016, "Decision Making And Saint Petersburg Paradox: Focusing On Heuristic Parameters, Considering The Non-Ergodic Context And The Gambling Risks," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, volume 70, issue 4, pages 147-158, October-D.
• Raul Ramos, 2016, "Gravity models: A tool for migration analysis," IZA World of Labor, LISER, pages 239-239, February.
• IKM Mokhtarul Wadud & Huson Joher Ali Ahmed, 2016, "Oil price volatility, investment and sectoral responses: The Thai experience," Journal of Developing Areas, Tennessee State University, College of Business, volume 50, issue 3, pages 357-379, July-Sept.
• Isaac Nwaogwugwu & Olaniyi Evans, 2016, "A Sectoral Analysis Of Fiscal And Monetary Actions In Nigeria," Journal of Developing Areas, Tennessee State University, College of Business, volume 50, issue 4, pages 211-229, October-D.
• Chi Ming Wong & Lei Lam Olivia Ting, 2016, "A Quantile Regression Approach to the Multiple Period Value at Risk Estimation," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, volume 12, issue 1, pages 1-35, February.
• Tanaka, Kiyoyasu, 2016, "Forecasting inbound tourists in Cambodia," IDE Discussion Papers, Institute of Developing Economies, Japan External Trade Organization(JETRO), number 601, Jun.
• Rossen Anja, 2016, "On the Predictive Content of Nonlinear Transformations of Lagged Autoregression Residuals and Time Series Observations," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 236, issue 3, pages 389-409, May, DOI: 10.1515/jbnst-2015-1019.
• Rossen Anja, 2016, "On the Predictive Content of Nonlinear Transformations of Lagged Autoregression Residuals and Time Series Observations," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 236, issue 3, pages 389-409, May, DOI: 10.1515/jbnst-2015-1019.
• Rossen Anja, 2016, "On the Predictive Content of Nonlinear Transformations of Lagged Autoregression Residuals and Time Series Observations," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 236, issue 3, pages 389-409, May, DOI: 10.1515/jbnst-2015-1019.
• William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon & Liting Su, 2016, "The Credit-Card-Services Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 201604, Aug, revised Aug 2016.
• William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon & Liting Su, 2016, "Nowcasting Nominal GDP with the Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 201605, Aug, revised Aug 2016.
• William A. Barnett & Liting Su, 2016, "Risk Adjustment of the Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 201606, Aug, revised Aug 2016.
• Khurshid M. Kiani, 2016, "On Modelling and Forecasting Predictable Components in European Stock Markets," Computational Economics, Springer;Society for Computational Economics, volume 48, issue 3, pages 487-502, October, DOI: 10.1007/s10614-015-9510-y.
• Jing Zeng, 2016, "Combining country-specific forecasts when forecasting Euro area macroeconomic aggregates," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, volume 43, issue 2, pages 415-444, May, DOI: 10.1007/s10663-016-9330-x.
• Feng Dai & Songtao Wu & Ling Liang & Zifu Qin, 2016, "Bilateral Trade under Environmental Pressure: Balanced Growth," Journal of Industry, Competition and Trade, Springer, volume 16, issue 2, pages 209-231, June, DOI: 10.1007/s10842-015-0205-9.
• Mehmet Balcilar & Rangan Gupta & Clement Kyei & Mark E. Wohar, 2016, "Does Economic Policy Uncertainty Predict Exchange Rate Returns and Volatility? Evidence from a Nonparametric Causality-in-Quantiles Test," Open Economies Review, Springer, volume 27, issue 2, pages 229-250, April, DOI: 10.1007/s11079-016-9388-x.
• Yun-Yeong Kim, 2016, "Dynamic Analyses Using VAR Model with Mixed Frequency Data through Observable Representation," Korean Economic Review, Korean Economic Association, volume 32, pages 41-75.
• Ayse Kabukcuoglu & Enrique Martínez-García, 2016, "What Helps Forecast U.S. Inflation?—Mind the Gap!," Koç University-TUSIAD Economic Research Forum Working Papers, Koc University-TUSIAD Economic Research Forum, number 1615, Dec.
• Burak Erkut, 2016, "Entrepreneurship and Economic Freedom: Do Objective and Subjective Data Reflect the Same Tendencies?," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., volume 4, issue 3, pages 11-26.
• Merza, Ádám & London, András & Kiss, István Márton & Pelle, Anita & Dombi, József & Németh, Tamás, 2016, "A világkereskedelem hálózatelméleti vizsgálatának lehetőségeiről
  [The scope for analysis of world trade through network theory]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), volume 0, issue 1, pages 79-98, DOI: 10.18414/KSZ.2016.1.79.
• Mellár, Tamás, 2016, "Szolgálólányból királycsináló - avagy az ökonometria makroökonómiai térhódítása?
  [From maidservant to king-maker - or the macroeconomic advance of econometrics?]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), volume 0, issue 3, pages 285-306, DOI: 10.18414/KSZ.2016.3.285.
• Anton Antonov GERUNOV, 2016, "Automating Analytics: Forecasting Time Series in Economics and Business," Journal of Economics and Political Economy, KSP Journals, volume 3, issue 2, pages 340-349, June.
• Latifa AITOUTOUHEN & Faris HAMZA, 2016, "Financial and Econometric Study of the Sustainability and Evaluation of Scenarios of Reforms for the Civil Regime of Moroccan," Turkish Economic Review, KSP Journals, volume 3, issue 4, pages 652-667, December.
• Pantelis Promponas & David Alan Peel, 2016, "Forecasting the nominal exchange rate movements in a changing world. The case of the U.S. and the U.K," Working Papers, Lancaster University Management School, Economics Department, number 144439514.
• Jorge Barrientos Marín & Mónica Toro Martínez, 2016, "Sobre Los Fundamentales Del Precio De La Energía Eléctrica: Evidencia Empírica Para Colombia," Grupo Microeconomía Aplicada, Universidad de Antioquia, Departamento de Economía, number 74.
• Carlos Diaz Vela, 2016, "Extracting the Information Shocks from the Bank of England Inflation Density Forecasts," Discussion Papers in Economics, Division of Economics, School of Business, University of Leicester, number 16/13.
• Jos Jansen, W. & Jin, Xiaowen & Winter, Jasper M. de, 2016, "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," Munich Reprints in Economics, University of Munich, Department of Economics, number 43488.
• Bührig, Pascal & Wohlrabe, Klaus, 2016, "Forecasting revisions of German industrial production," Munich Reprints in Economics, University of Munich, Department of Economics, number 43524.
• Lehmann, R. & Wohlrabe, K., 2016, "Looking into the black box of boosting: the case of Germany," Munich Reprints in Economics, University of Munich, Department of Economics, number 43525.
• JEdgar Alfredo Nande Vazque & Juan Carlos Martínez, 2016, "Political Budget Cycle: Mexican Town Halls Case," International Journal of Business and Social Research, LAR Center Press, volume 6, issue 8, pages 31-42, August.
• Christian Gayer & Alessandro Girardi & Andreas Reuter, 2016, "Replacing Judgment by Statistics: Constructing Consumer Confidence Indicators on the basis of Data-driven Techniques. The Case of the Euro Area," Working Papers LuissLab, Dipartimento di Economia e Finanza, LUISS Guido Carli, number 16125.
• David Boisclair & Yann Décarie & François Laliberté-Auger & Pierre-Carl Michaud, 2016, "Réduction des maladies cardiovasculaires et dépenses de santé au Québec à l’horizon 2050," Cahiers de recherche, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques, number 1601.
• Tibor Hledik & Sultanija Bojceva-Terzijan & Biljana Jovanovic & Rilind Kabashi, 2016, "Overview of the Macedonian Policy Analysis Model (MAKPAM)," Working Papers, National Bank of the Republic of North Macedonia, number 2016-04, Sep.
• Heibati, Reza & Shajari, Hoshang & Samadi, Saeid, 2016, "Measuring Uncertainty in Macroeconomics," Journal of Monetary and Banking Research (فصلنامه پژوهش‌های پولی-بانکی), Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, volume 9, issue 28, pages 223-250, July.
• Aleksandra Hałka & Karol Szafranek, 2016, "Whose Inflation Is It Anyway? Inflation Spillovers Between the Euro Area and Small Open Economies," Eastern European Economics, Taylor & Francis Journals, volume 54, issue 2, pages 109-132, March, DOI: 10.1080/00128775.2015.1126788.
• Rangan Gupta & Mampho P. Modise & Josine Uwilingiye, 2016, "Out-of-Sample Equity Premium Predictability in South Africa: Evidence from a Large Number of Predictors," Emerging Markets Finance and Trade, Taylor & Francis Journals, volume 52, issue 8, pages 1935-1955, August, DOI: 10.1080/1540496X.2015.1058075.
• Kelly Burns, 2016, "A Reconsideration of the Meese-Rogoff Puzzle: An Alternative Approach to Model Estimation and Forecast Evaluation," Multinational Finance Journal, Multinational Finance Journal, volume 20, issue 1, pages 41-83, March.
• JEdgar Alfredo Nande Vazque & Juan Carlos Martínez, 2016, "Political Budget Cycle: Mexican Town Halls Case," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, volume 6, issue 8, pages 31-42, August.
• Tomasz Wozniak, 2016, "Rare Events and Risk Perception: Evidence from Fukushima Accident," Department of Economics - Working Papers Series, The University of Melbourne, number 2021, Apr.
• György Inzelt & Gábor Szappanos & Zsolt Armai, 2016, "Supervision by robust risk monitoring – a cycle-independent Hungarian corporate credit rating system," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), volume 15, issue 3, pages 51-78.
• Gergely Patrik Balla & Tamás Ilyés, 2016, "Liquidity Needs And Liquidity Costs Of An Instant Payment System," MNB Occasional Papers, Magyar Nemzeti Bank (Central Bank of Hungary), number 2016/124.
• Francesco Giuseppe Caloia & Andrea Cipollini & Silvia Muzzioli, 2016, "A note on normalization schemes:The case of generalized forecast error variance decompositions," Department of Economics, University of Modena and Reggio E., Faculty of Economics "Marco Biagi", number 0092, Aug.
• Zeineb Affes & Rania Hentati-Kaffel, 2016, "Predicting US banks bankruptcy: logit versus Canonical Discriminant analysis," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 16016, Feb.
• Zeineb Affes & Rania Hentati-Kaffel, 2016, "Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 16026, Mar.
• Yanfei Kang & Rob J. Hyndman & Kate Smith-Miles, 2016, "Visualising forecasting Algorithm Performance using Time Series Instance Spaces," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 10/16.
• Patrick Leung & Catherine S. Forbes & Gael M. Martin & Brendan McCabe, 2016, "Data-driven particle Filters for particle Markov Chain Monte Carlo," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 17/16.
• Bin Jiang & Anastasios Panagiotelis & George Athanasopoulos & Rob Hyndman & Farshid Vahid, 2016, "Bayesian Rank Selection in Multivariate Regression," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 6/16.
• Diana Gabrielyan, 2016, "Forecasting Inflation Using The Phillips Curve: Evidence From Swedish Data," University of Tartu - Faculty of Economics and Business Administration Working Paper Series, Faculty of Economics and Business Administration, University of Tartu (Estonia), number 100.
• Marina Emiris, 2016, "A dynamic factor model for forecasting house prices in Belgium," Working Paper Research, National Bank of Belgium, number 313, Nov.
• Łukasz Lenart & Agnieszka Leszczyńska-Paczesna, 2016, "Do market prices improve the accuracy of inflation forecasting in Poland? A disaggregated approach," Bank i Kredyt, Narodowy Bank Polski, volume 47, issue 5, pages 365-394.
• Xi Chen & Michael Funke, 2016, "Renewed Momentum in the German Housing Market: Real-Time Monitoring of Boom vs. Bubble," Chapters from NBP Conference Publications, Narodowy Bank Polski, chapter 16, in: Hanna Augustyniak & Jacek Łaszek & Krzysztof Olszewski & Joanna Waszczuk, "Papers presented during the Narodowy Bank Polski Workshop: Recent trends in the real estate market and its analysis - 2015 edition".
• Aleksandra Hałka & Jacek Kotłowski, 2016, "Global or domestic? Which shocks drive inflation in European small open economies?," NBP Working Papers, Narodowy Bank Polski, number 232.
• Jorge Guzman & Scott Stern, 2016, "The State of American Entrepreneurship: New Estimates of the Quality and Quantity of Entrepreneurship for 32 US States, 1988-2014," NBER Working Papers, National Bureau of Economic Research, Inc, number 22095, Mar.
• Edward L. Glaeser & Andrew Hillis & Scott Duke Kominers & Michael Luca, 2016, "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy," NBER Working Papers, National Bureau of Economic Research, Inc, number 22124, Mar.
• Patrick Higgins & Tao Zha & Karen Zhong, 2016, "Forecasting China's Economic Growth and Inflation," NBER Working Papers, National Bureau of Economic Research, Inc, number 22402, Jul.
• Francis X. Diebold & Minchul Shin, 2016, "Assessing Point Forecast Accuracy by Stochastic Error Distance," NBER Working Papers, National Bureau of Economic Research, Inc, number 22516, Aug.
• Steven Lehrer & Tian Xie, 2016, "Box Office Buzz: Does Social Media Data Steal the Show from Model Uncertainty When Forecasting for Hollywood?," NBER Working Papers, National Bureau of Economic Research, Inc, number 22959, Dec.
• Porshakov, A. & Ponomarenko, A. & Sinyakov, A., 2016, "Nowcasting and Short-Term Forecasting of Russian GDP with a Dynamic Factor Model," Journal of the New Economic Association, New Economic Association, volume 30, issue 2, pages 60-76.
• Eder L. V. & Nemov V. Yu. & Filimonova I. V., 2016, "Prospects for Transport Energy Consumption: Methodological Approaches and Results of Forecasting," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, volume 16, issue 1, pages 25-38.
• Sokolova G.E., 2016, "A simulation model of the gas complex," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, volume 16, issue 2, pages 57-69.
• Patrice Ollivaud & Pierre-Alain Pionnier & Elena Rusticelli & Cyrille Schwellnus & Seung-Hee Koh, 2016, "Forecasting GDP during and after the Great Recession: A contest between small-scale bridge and large-scale dynamic factor models," OECD Economics Department Working Papers, OECD Publishing, number 1313, Jul, DOI: 10.1787/5jlv2jj4mw40-en.
• David Havrlant & Peter Tóth & Julia Wörz, 2016, "On the optimal number of indicators – nowcasting GDP growth in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 54-72.
• Niematallah Elamin & Mototsugu Fukushige, 2016, "A Quantile Regression Model for Electricity Peak Demand Forecasting: An Approach to Avoiding Power Blackouts," Discussion Papers in Economics and Business, Osaka University, Graduate School of Economics, number 16-22, Sep.
• Karen Poghosyan & Evžen Kočenda, 2016, "Determinants of export sophistication: Evidence from Monte Carlo simulations," Working Papers, Leibniz Institut für Ost- und Südosteuropaforschung (Leibniz Institute for East and Southeast European Studies), number 360, Oct.
• Holger Bonin & Karsten Reuss & Holger Stichnoth, 2016, "The Monetary Value of Family Policy Measures in Germany over the Life Cycle: Evidence from a Dynamic Microsimulation Model," CESifo Economic Studies, CESifo Group, volume 62, issue 4, pages 650-671.
• Ulrich K. Müller & Mark W. Watson, 2016, "Measuring Uncertainty about Long-Run Predictions," The Review of Economic Studies, Review of Economic Studies Ltd, volume 83, issue 4, pages 1711-1740.
• David Hendry & Andrew B. Martinez, 2016, "Evaluating Multi-Step System Forecasts with Relatively Few Forecast-Error Observations," Economics Series Working Papers, University of Oxford, Department of Economics, number 784, Mar.
• Janine Aron & John Muellbauer, 2016, "Modelling and Forecasting Mortgage Delinquency and Foreclosure in the UK," Economics Series Working Papers, University of Oxford, Department of Economics, number 793, Apr.
• Arango A., Mónica Andrea & Arroyave O., Santiago, 2016, "Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: un contraste entre modelos de volatilidad || Analysis of Fossil Fuels in the Market for Electricity Generation in Colombia: A Contrast between Models of Vo," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 22, issue 1, pages 190-215, December.
• Vipul Kumar Singh, 2016, "Pricing and hedging competitiveness of the tree option pricing models: Evidence from India," Journal of Asset Management, Palgrave Macmillan, volume 17, issue 6, pages 453-475, October, DOI: 10.1057/s41260-016-0024-5.
• Gabriel Rodriguez & Willy Alanya, 2016, "Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2016-413.
• Laura Liu & Hyungsik Moon & Frank Schorfheide, 2016, "Forecasting with Dynamic Panel Data Models," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 16-022, Dec, revised 21 Dec 2016.
• Przemyslaw Cieslak, 2016, "Prospects for Africa's economic growth," Working Papers, Institute of Economic Research, number 17/2016, May, revised May 2016.
• Lenarčič, Črt & Zorko, Robert & Herman, Uroš & Savšek, Simon, 2016, "A Primer on Slovene House Prices Forecast," MPRA Paper, University Library of Munich, Germany, number 103552, May.
• Djemaci, Brahim, 2016, "Forecast future production of municipal waste on the basis of a panel data model in Algeria," MPRA Paper, University Library of Munich, Germany, number 68879, Jan, revised 16 Jan 2016.
• Piersanti, Fabio Massimo & Rizzati, Massimiliano & Nakmai, Siwat, 2016, "Foreign exchange rates with the Taylor rule and VECMs," MPRA Paper, University Library of Munich, Germany, number 68888, Mar, revised 30 Mar 2016.
• Degiannakis, Stavros & Filis, George, 2016, "Forecasting oil price realized volatility: A new approach," MPRA Paper, University Library of Munich, Germany, number 69105, Jan.
• Lehmann, Robert & Wohlrabe, Klaus, 2016, "Experts, firms, consumers or even hard data? Forecasting employment in Germany," MPRA Paper, University Library of Munich, Germany, number 69611, Feb.
• García, Jaume & Pérez, Levi & Rodríguez, Plácido, 2016, "Forecasting football match results: Are the many smarter than the few?," MPRA Paper, University Library of Munich, Germany, number 69687, Jan.
• Hännikäinen, Jari, 2016, "When does the yield curve contain predictive power? Evidence from a data-rich environment," MPRA Paper, University Library of Munich, Germany, number 70489, Apr.
• Gerunov, Anton, 2016, "Automating Analytics: Forecasting Time Series in Economics and Business," MPRA Paper, University Library of Munich, Germany, number 71010, Apr.
• O'Hare, Colin & Li, Youwei, 2016, "Modelling mortality: Are we heading in the right direction?," MPRA Paper, University Library of Munich, Germany, number 71392, May.
• O'Hare, Colin & Li, Youwei, 2016, "Models of Mortality rates - analysing the residuals," MPRA Paper, University Library of Munich, Germany, number 71394, May.
• Hännikäinen, Jari, 2016, "The shadow rate as a predictor of real activity and inflation: Evidence from a data-rich environment," MPRA Paper, University Library of Munich, Germany, number 71432, May.
• Thomadakis, Apostolos, 2016, "Do Combination Forecasts Outperform the Historical Average? Economic and Statistical Evidence," MPRA Paper, University Library of Munich, Germany, number 71589, May.
• Fantazzini, Dean & Nigmatullin, Erik & Sukhanovskaya, Vera & Ivliev, Sergey, 2016, "Everything you always wanted to know about bitcoin modelling but were afraid to ask," MPRA Paper, University Library of Munich, Germany, number 71946, revised 2016.
• Fantazzini, Dean, 2016, "The Oil Price Crash in 2014/15: Was There a (Negative) Financial Bubble?," MPRA Paper, University Library of Munich, Germany, number 72094, Jun.
• Tamayo, Adrian, 2016, "Determining Statistical Pattern on the Drug-Related Killing in Philippines Using ARIMA and Poisson Techniques," MPRA Paper, University Library of Munich, Germany, number 72518, Jul.
• Davis, Brent, 2016, "“Attitudes to Leadership and Voting: Finding the Efficient Frontier”," MPRA Paper, University Library of Munich, Germany, number 72792, Aug.
• Stacey, Brian, 2016, "A Standardized Treatment of Binary Similarity Measures with an Introduction to k-Vector Percentage Normalized Similarity," MPRA Paper, University Library of Munich, Germany, number 72815, Aug.
• Barnett, William & Chauvet, Marcelle & Leiva-Leon, Danilo & Su, Liting, 2016, "The credit-card-services augmented Divisia monetary aggregates," MPRA Paper, University Library of Munich, Germany, number 73245, Aug.
• Barnett, William & Chauvet, Marcelle & Leiva-Leon, Danilo & Su, Liting, 2016, "Nowcasting nominal gdp with the credit-card augmented Divisia monetary aggregates," MPRA Paper, University Library of Munich, Germany, number 73246, Aug.
• Barnett, William & Su, Liting, 2016, "Risk adjustment of the credit-card augmented Divisia monetary aggregates," MPRA Paper, University Library of Munich, Germany, number 73248, Aug.
• R. Ferreira, Alexandre & A. P. Santos, Andre, 2016, "On the choice of covariance specifications for portfolio selection problems," MPRA Paper, University Library of Munich, Germany, number 73259, Aug.
• Asongu, Simplice & Nwachukwu, Jacinta, 2016, "Is the Threat of Foreign Aid Withdrawal an Effective Deterrent to Political Oppression? Evidence from 53 African Countries," MPRA Paper, University Library of Munich, Germany, number 74649, Jan.
• Degiannakis, Stavros & Potamia, Artemis, 2016, "Multiple-days-ahead value-at-risk and expected shortfall forecasting for stock indices, commodities and exchange rates: inter-day versus intra-day data," MPRA Paper, University Library of Munich, Germany, number 74670, Jan.
• Delle Monache, Davide & Petrella, Ivan, 2016, "Adaptive models and heavy tails with an application to inflation forecasting," MPRA Paper, University Library of Munich, Germany, number 75424, Sep.
• Urbina, Jilber, 2016, "Crecimiento del crédito en Nicaragua, ¿Crecimiento natural o boom crediticio?
  [Credit growth in Nicaragua: Natural growth or credit boom?]," MPRA Paper, University Library of Munich, Germany, number 75577, Oct, revised Nov 2016.
• Skrypnik, Dmitriy, 2016, "Budget Policy And Economic Growth In Russia. Optimal Budget Rule," MPRA Paper, University Library of Munich, Germany, number 75853, Jan.
• Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2016, "Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers," MPRA Paper, University Library of Munich, Germany, number 76308, Dec.
• Feng, Bo & Partridge, Mark & Rembert, Mark, 2016, "The Perils of Modelling How Migration Responds to Climate Change," MPRA Paper, University Library of Munich, Germany, number 77059, Nov.
• Danao, Rolando & Ducanes, Geoffrey, 2016, "An Error Correction Model for Forecasting Philippine Aggregate Electricity Consumption," MPRA Paper, University Library of Munich, Germany, number 87722, revised Mar 2017.
• Skrypnik, Dmitriy, 2016, "A Macroeconomic Model of the Russian Economy," MPRA Paper, University Library of Munich, Germany, number 93506, Sep.
• Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch & Mark Wohar, 2016, "Terror Attacks and Stock-Market Fluctuations: Evidence Based on a Nonparametric Causality-in-Quantiles Test for the G7 Countries," Working Papers, University of Pretoria, Department of Economics, number 201608, Feb.
• Rangan Gupta & Anandamayee Majumdar & Mark Wohar, 2016, "The Role of Current Account Balance in Forecasting the US Equity Premium: Evidence from a Quantile Predictive Regression Approach," Working Papers, University of Pretoria, Department of Economics, number 201612, Feb.
• Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Rangan Gupta, 2016, "The Term Premium as a Leading Macroeconomic Indicator," Working Papers, University of Pretoria, Department of Economics, number 201613, Feb.
• Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch & Mark Wohar, 2016, "Do Terror Attacks Affect the Dollar-Pound Exchange Rate? A Nonparametric Causality-in-Quantiles Analysis," Working Papers, University of Pretoria, Department of Economics, number 201615, Mar.
• Nikolaos Antonakakis & Tsangyao Chang & Juncal Cunado & Rangan Gupta, 2016, "The Relationship between Commodity Markets and Commodity Mutual Funds: A Wavelet-Based Analysis," Working Papers, University of Pretoria, Department of Economics, number 201619, Mar.
• Christina Christou & Rangan Gupta, 2016, "Forecasting Equity Premium in a Panel of OECD Countries: The Role of Economic Policy Uncertainty," Working Papers, University of Pretoria, Department of Economics, number 201622, Mar.
• Rangan Gupta & Anandamayee Majumdar & Christian Pierdzioch & Mark Wohar, 2016, "Do Terror Attacks Predict Gold Returns? Evidence from a Quantile-Predictive-Regression Approach," Working Papers, University of Pretoria, Department of Economics, number 201626, Mar.
• Mehmet Balcilar & Esin Cakan & Rangan Gupta, 2016, "Does U.S. News Impact Asian Emerging Markets? Evidence from Nonparametric Causality-in-Quantiles Test," Working Papers, University of Pretoria, Department of Economics, number 201631, Apr.
• Christina Christou & Rangan Gupta & Christis Hassapis, 2016, "Does Economic Policy Uncertainty Forecast Real Housing Returns in a Panel of OECD Countries? A Bayesian Approach," Working Papers, University of Pretoria, Department of Economics, number 201637, Apr.
• Matteo Bonato & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2016, "Gold Futures Returns and Realized Moments: A Forecasting Experiment Using a Quantile-Boosting Approach," Working Papers, University of Pretoria, Department of Economics, number 201645, Jun.
• Vasilios Plakandaras & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2016, "Do Leading Indicators Forecast U.S. Recessions? A Nonlinear Re-Evaluation Using Historical Data," Working Papers, University of Pretoria, Department of Economics, number 201685, Nov.
• Rangan Gupta & John W. Muteba Mwamba & Mark E. Wohar, 2016, "The Role of Partisan Conflict in Forecasting the U.S. Equity Premium: A Nonparametric Approach," Working Papers, University of Pretoria, Department of Economics, number 201686, Dec.
• Daniela Spiesova, 2016, "Prediction of Emission Allowances Spot Prices Volatility with the Use of GARCH Models," ACTA VSFS, University of Finance and Administration, volume 10, issue 1, pages 66-79.
• Tomáš Bunčák, 2016, "Exchange Rates Forecasting: Can Jump Models Combined with Macroeconomic Fundamentals Help?," Prague Economic Papers, Prague University of Economics and Business, volume 2016, issue 5, pages 527-546, DOI: 10.18267/j.pep.581.