Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting

2015

• Stelios Bekiros & Rangan Gupta & Clement Kyei, 2015, "A Nonlinear Approach for Predicting Stock Returns and Volatility with the Use of Investor Sentiment Indices," Working Papers, University of Pretoria, Department of Economics, number 201536, Jun.
• Stelios Bekiros & Rangan Gupta & Anandamayee Majumdar, 2015, "Incorporating Economic Policy Uncertainty in US Equity Premium Models: A Nonlinear Predictability Analysis," Working Papers, University of Pretoria, Department of Economics, number 201545, Jun.
• Periklis Gogas & Theophilos Papadimitriou & Vasilios Plakandaras & Rangan Gupta, 2015, "The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach," Working Papers, University of Pretoria, Department of Economics, number 201548, Jun.
• Hossein Hassani & Emmanuel Sirimal Silva & Rangan Gupta & Sonali Das, 2015, "Predicting Global Temperature Anomaly: A Definitive Investigation Using an Ensemble of Twelve Competing Forecasting Models," Working Papers, University of Pretoria, Department of Economics, number 201561, Aug.
• Giovanni Bonaccolto & Massimiliano Caporin & Rangan Gupta, 2015, "The Dynamic Impact of Uncertainty in Causing and Forecasting the Distribution of Oil Returns and Risk," Working Papers, University of Pretoria, Department of Economics, number 201564, Sep.
• Rangan Gupta & Hylton Hollander & Rudi Steinbach, 2015, "Forecasting Output Growth using a DSGE-Based Decomposition of the South African Yield Curve," Working Papers, University of Pretoria, Department of Economics, number 201567, Sep.
• Mehmet Balcilar & Rangan Gupta & Clement Kyei, 2015, "South African Stock Returns Predictability using Domestic and Global Economic Policy Uncertainty: Evidence from a Nonparametric Causality-in-Quantiles Approach," Working Papers, University of Pretoria, Department of Economics, number 201570, Oct.
• Mehmet Balcilar & Rangan Gupta & Clement Kyei, 2015, "Predicting Stock Returns and Volatility with Investor Sentiment Indices: A Reconsideration using a Nonparametric Causality-in-Quantiles Test," Working Papers, University of Pretoria, Department of Economics, number 201575, Oct.
• Nikolaos Antonakakis & Vassilios Babalos & Clement Kyei, 2015, "Predictability of Sustainable Investments and the Role of Uncertainty: Evidence from a Non-Parametric Causality-in-Quantiles Test," Working Papers, University of Pretoria, Department of Economics, number 201576, Oct.
• Mehmet Balcilar & Rangan Gupta & Ricardo M. Sousa & Mark E. Wohar, 2015, "The Predictability of cay and cayMS for Stock and Housing Returns: A Nonparametric Causality in Quantile Test," Working Papers, University of Pretoria, Department of Economics, number 201577, Oct.
• Rangan Gupta & Eric Olson & Mark E. Wohar, 2015, "Forecasting Key US Macroeconomic Variables with a Factor-Augmented Qual VAR," Working Papers, University of Pretoria, Department of Economics, number 201585, Nov.
• Mehmet Balcilar & Rangan Gupta & Won Joong Kim & Clement Kyei, 2015, "The Role of Domestic and Global Economic Policy Uncertainties in Predicting Stock Returns and their Volatility for Hong Kong, Malaysia and South Korea: Evidence from a Nonparametric Causality-in-Quantiles Approach," Working Papers, University of Pretoria, Department of Economics, number 201586, Nov.
• Rangan Gupta & Mark E. Wohar, 2015, "Forecasting Oil and Stock Returns with a Qual VAR using over 150 Years of Data," Working Papers, University of Pretoria, Department of Economics, number 201589, Dec.
• Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2015, "Does Uncertainty Move the Gold Price? New Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers, University of Pretoria, Department of Economics, number 201592, Dec.
• Mehmet Balcilar & Rangan Gupta & Mampho P. Modise & John W. Muteba Mwamba, 2015, "Predicting South African Equity Premium using Domestic and Global Economic Policy Uncertainty Indices: Evidence from a Bayesian Graphical Model," Working Papers, University of Pretoria, Department of Economics, number 201596, Dec.
• Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2015, "On Exchange-Rate Movements and Gold-Price Fluctuations: Evidence for Gold-Producing Countries from a Nonparametric Causality-in-Quantiles Test," Working Papers, University of Pretoria, Department of Economics, number 201598, Dec.
• Mehmet Balcilar & Rangan Gupta & Clement Kyei & Mark Wohar, 2015, "Does Economic Policy Uncertainty Predict Exchange Rate Returns and Volatility? Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers, University of Pretoria, Department of Economics, number 201599, Dec.
• Pavol Krasnovský, 2015, "Estimating the Value-at-Risk from High-frequency Data," European Financial and Accounting Journal, Prague University of Economics and Business, volume 2015, issue 2, pages 5-11, DOI: 10.18267/j.efaj.138.
• Igor Paholok, 2015, "Credit Value Adjustment and Economic Motivation to Trade on PXE," Prague Economic Papers, Prague University of Economics and Business, volume 2015, issue 3, pages 245-259, DOI: 10.18267/j.pep.517.
• Mihaela Simionescu, 2015, "The Improvement of Unemployment Rate Predictions Accuracy," Prague Economic Papers, Prague University of Economics and Business, volume 2015, issue 3, pages 274-286, DOI: 10.18267/j.pep.519.
• Václav Rybáček, 2015, "Vliv trhu mezistatků na úspěšnost prognóz ekonomické aktivity
  [Influence of the Intermediate Goods Market on the Success of Economic Activity Forecasts]," Politická ekonomie, Prague University of Economics and Business, volume 2015, issue 3, pages 331-346, DOI: 10.18267/j.polek.1006.
• João Valle e Azevedo & Inês Maria Gonçalves, 2015, "Macroeconomic Forecasting Starting from Survey Nowcasts," Working Papers, Banco de Portugal, Economics and Research Department, number w201502.
• Thomas Brenner & Marco Capasso & Matthias Duschl & Koen Frenken & Tania Treibich, 2015, "Causal Relations between Knowledge-Intensive Business Services and Regional Employment Growth," Working Papers on Innovation and Space, Philipps University Marburg, Department of Geography, number 2015-04, Dec.
• Alicia N. Rambaldi & Ryan R. J. McAllister & Cameron S. Fletcher, 2015, "Decoupling land values in residential property prices: smoothing methods for hedonic imputed price indices," Discussion Papers Series, School of Economics, University of Queensland, Australia, number 549, Sep.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015, "Large Vector Autoregressions with Asymmetric Priors," Working Papers, Queen Mary University of London, School of Economics and Finance, number 759, Nov.
• Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015, "A Time Varying DSGE Model with Financial Frictions," Working Papers, Queen Mary University of London, School of Economics and Finance, number 769, Dec.
• Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015, "A Bayesian Local Likelihood Method for Modelling Parameter Time Variation in DSGE Models," Working Papers, Queen Mary University of London, School of Economics and Finance, number 770, Dec.
• Karen Poghosyan, 2015, "Alternative models for forecasting the key macroeconomic variables in Armenia (in Russian)," Quantile, Quantile, issue 13, pages 25-39, May.
• R Herrera & Adam Clements, 2015, "Point process models for extreme returns: Harnessing implied volatility," NCER Working Paper Series, National Centre for Econometric Research, number 104, May.
• León, María de Fátima & Vargas, Astrid & Winkelried, Diego, 2015, "Crisis bancarias como eventos infrecuentes," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 30, pages 73-90.
• Éric Jondeau & Michael Rockinger, 2015, "Long-term Portfolio Allocation Based on Long-term Macro forecasts," Bankers, Markets & Investors, ESKA Publishing, issue 134, pages 62-69, January-F.
• Michael P. Clements, 2015, "Assessing Macro Uncertainty In Real-Time When Data Are Subject To Revision," ICMA Centre Discussion Papers in Finance, Henley Business School, University of Reading, number icma-dp2015-02, Jan.
• Michael Clements, 2015, "Forecasters' Disagreement about How the Economy Operates, and the Role of Long-run Relationships," ICMA Centre Discussion Papers in Finance, Henley Business School, University of Reading, number icma-dp2015-09, Nov.
• Marc Giannoni & Christina Patterson & Marco Del Negro, 2015, "The Forward Guidance Puzzle," 2015 Meeting Papers, Society for Economic Dynamics, number 1529.
• Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2015, "Nowcasting Indonesia," ADB Economics Working Paper Series, Asian Development Bank, number 471, Dec.
• Petr Parshakov, 2015, "Estimation of skill of Russian mutual fund managers," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 37, issue 1, pages 57-66.
• Ilya Tetin, 2015, "Underwriting cycle in Russia and macroeconomic indicators," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 39, issue 3, pages 65-83.
• Karen M. Martínez Torrico & Javier Aliaga Lordemann, 2015, "Revisión de Modelos Energéticos," Documentos de trabajo, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana, number 6/2015, Jun.
• Mihaela Simionescu, 2015, "A Comparative Analysis Of Macroeconomic Forecasts Accuracy In Spain And Romania," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, volume 6, issue 1, pages 67-74.
• Aidil Rizal SHAHRIN, 2015, "Has Nonlinearity Resolved The A Nomaly Of Unit Root Behaviour In Forward Discount ? New Empirical Evidence," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 1, pages 70-80, March.
• Corina SAMAN, 2015, "Out-Of-Sample Forecasting Performance Of A Robust Neural Exchange Rate Model Of Ron/Usd," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 1, pages 93-106, March.
• Emilian Dobrescu, 2015, "Net Indirect Taxes and Sectoral Structure of Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 2, pages 5-29, June.
• Emilian Dobrescu, 2015, "Comparative Price Level (Cpl) – A Representative Parameter of Economic Convergence," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 7-28, December.
• Mihaela Simionescu, 2015, "A New Technique based on Simulations for Improving the Inflation Rate Forecasts in Romania," Working Papers of Institute for Economic Forecasting, Institute for Economic Forecasting, number 150206, Feb.
• Mariana BĂLAN & Brînduşa-Mihaela RADU, 2015, "Analysis and Forecast of Romania’s Population Ageing by Non-Linear Methods," Working Papers of Institute for Economic Forecasting, Institute for Economic Forecasting, number 150820, Aug.
• Alessia Naccarato & Andrea Pierini & Stefano Falorsi, 2015, "Using Google Trend Data To Predict The Italian Unemployment Rate," Departmental Working Papers of Economics - University 'Roma Tre', Department of Economics - University Roma Tre, number 0203, Dec.
• Tommaso Proietti & Martyna Marczak & Gianluigi Mazzi, 2015, "EuroMInd-D: A Density Estimate of Monthly Gross Domestic Product for the Euro Area," CEIS Research Paper, Tor Vergata University, CEIS, number 340, Apr, revised 10 Apr 2015.
• Bart Cockx & Stijn Baert, 2015, "Contracting Out Mandatory Counselling And Training For Long-Term Unemployed. Private For-Profit Or Non-Profit, Or Keep It Public?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium, Ghent University, Faculty of Economics and Business Administration, number 15/913, Oct.
• Witold Koziñski & Tomasz Œwist, 2015, "Short-Term Currency In Circulation Forecasting For Monetary Policy Purposes – The Case Of Poland," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, volume 11, issue 1, pages 65-74, August.
• Wiktor Patena & Bart³omiej Kaszyk, 2015, "Commercialization as a recommended approach to hospital restructuring. Case study of £añcut Medical Center," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, volume 11, issue 2, pages 32-46, October.
• Zhanglong Wang & Kent Wang & Zheyao Pan, 2015, "Conditional equity risk premia and realized variance jump risk," Australian Journal of Management, Australian School of Business, volume 40, issue 2, pages 295-317, May, DOI: 10.1177/0312896214526602.
• Imlak Shaikh & Puja Padhi, 2015, "On the Relationship of Ex-ante and Ex-post Volatility: A Sub-period Analysis of S&P CNX Nifty Index Options," Journal of Emerging Market Finance, Institute for Financial Management and Research, volume 14, issue 2, pages 140-175, August, DOI: 10.1177/0972652715584266.
• Vipul Kumar Singh, 2015, "Conjoint Analysis of Option and Volatility Models," Journal of Emerging Market Finance, Institute for Financial Management and Research, volume 14, issue 3, pages 258-289, December, DOI: 10.1177/0972652714567997.
• Aadil Nakhoda, 2014, "The Influence of Industry Financial Composition on the Exports from Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, volume 10, pages 21-49.
• Shahzad Ahmad & Farooq Pasha, 2015, "A Pragmatic Model for Monetary Policy Analysis I: The Case of Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, volume 11, pages 1-42.
• Морнова Ю.В., 2015, "Инструменты исследования состояния рынка молочной продукции в Иркутской области. Instruments of research of the condition of the market dairy products of the Irkutsk region," Мир экономики и управления // Вестник НГУ. Cерия: Cоциально-экономические науки, Socionet;Новосибирский государственный университет, volume 15, issue 4, pages 41-46.
• Amaia Jone BETZUEN à LVAREZ & Amancio BETZUEN ZALBIDEGOITIA, 2015, "La modelización de los cambios en la longevidad de la población del País Vasco y su estimación futura," Revista Galega de Economía, University of Santiago de Compostela. Faculty of Economics and Business., volume 24, issue 2, pages 45-54.
• Dimitra Lamprou, 2015, "Nowcasting GDP in Greece: A Note on Forecasting Improvements from the Use of Bridge Models," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, volume 13, issue 1, pages 85-100.
• Luca Fanelli & Marco M. Sorge, 2015, "Indeterminacy, Misspecification and Forecastability: Good Luck in Bad Policy?," CSEF Working Papers, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, number 402, Apr.
• Johannes Tshepiso Tsoku & Nonofo Phokontsi & Daniel Metsileng, 2015, "Forecasting South African Gold Sales: The Box-Jenkins Methodology," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 2704589, Sep.
• Ekaterini Panopoulou & Theologos Pantelidis & Spyridon Vrontos, 2015, "Hedge fund predictability and optimal asset allocation," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 3105383, Nov.
• Dana Kloudova, 2015, "Estimating Output Gap and Potential Output for Russia and Its Usefulness by Forecasting Inflation," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, volume 4, issue 1, pages 45-59, March.
• Michał Bernardelli, 2015, "Cheater detection in Real Time Bidding system – panel approach," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 11-24.
• Piotr Karp, 2015, "Asymetryczny wpływ zmian kursu walutowego na gospodarkę Polski," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 6, pages 29-49.
• Bernhard O. Ishioro, 2015, "Intertemporal Optimization Of The Consumption Of Petroleum Stock: Empirical Evidence From Nigeria," Journal of Academic Research in Economics, Spiru Haret University, Faculty of Accounting and Financial Management Constanta, volume 7, issue 2 (July), pages 232-255.
• Mordecai Kurz & Maurizio Motolese & Giulia Piccillo & Howei Wu, 2015, "Monetary Policy with Diverse Private Expectations," Discussion Papers, Stanford Institute for Economic Policy Research, number 15-004, Mar.
• Alexandros M. Goulielmos, 2015, "The Multi-faceted Character of Risk in Maritime Freight Markets (Panamax) 1996-2012," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, volume 65, issue 1-2, pages 67-86, January-M.
• MeiChi Huang & Tzu-Chien Wang, 2015, "Housing-bubble vulnerability and diversification opportunities during housing boom–bust cycles: evidence from decomposition of asset price returns," The Annals of Regional Science, Springer;Western Regional Science Association, volume 54, issue 2, pages 605-637, March, DOI: 10.1007/s00168-015-0669-x.
• Xiaofeng Cao & Ostap Okhrin & Martin Odening & Matthias Ritter, 2015, "Modelling spatio-temporal variability of temperature," Computational Statistics, Springer, volume 30, issue 3, pages 745-766, September, DOI: 10.1007/s00180-015-0561-2.
• Jakub Nowotarski & Rafał Weron, 2015, "Computing electricity spot price prediction intervals using quantile regression and forecast averaging," Computational Statistics, Springer, volume 30, issue 3, pages 791-803, September, DOI: 10.1007/s00180-014-0523-0.
• Katarzyna Maciejowska & Rafał Weron, 2015, "Forecasting of daily electricity prices with factor models: utilizing intra-day and inter-zone relationships," Computational Statistics, Springer, volume 30, issue 3, pages 805-819, September, DOI: 10.1007/s00180-014-0531-0.
• Shiyi Chen & Kiho Jeong & Wolfgang Härdle, 2015, "Recurrent support vector regression for a non-linear ARMA model with applications to forecasting financial returns," Computational Statistics, Springer, volume 30, issue 3, pages 821-843, September, DOI: 10.1007/s00180-014-0543-9.
• Zongwu Cai & Jiancheng Jiang & Jingshuang Zhang & Xibin Zhang, 2015, "A new semiparametric test for superior predictive ability," Empirical Economics, Springer, volume 48, issue 1, pages 389-405, February, DOI: 10.1007/s00181-014-0887-6.
• Nan Cai & Zongwu Cai & Ying Fang & Qiuhua Xu, 2015, "Forecasting major Asian exchange rates using a new semiparametric STAR model," Empirical Economics, Springer, volume 48, issue 1, pages 407-426, February, DOI: 10.1007/s00181-014-0888-5.
• Harun Özkan & M. Yazgan, 2015, "Is forecasting inflation easier under inflation targeting?," Empirical Economics, Springer, volume 48, issue 2, pages 609-626, March, DOI: 10.1007/s00181-013-0793-3.
• Geoff Kenny & Thomas Kostka & Federico Masera, 2015, "Density characteristics and density forecast performance: a panel analysis," Empirical Economics, Springer, volume 48, issue 3, pages 1203-1231, May, DOI: 10.1007/s00181-014-0815-9.
• Tommaso Proietti & Stefano Grassi, 2015, "Stochastic trends and seasonality in economic time series: new evidence from Bayesian stochastic model specification search," Empirical Economics, Springer, volume 48, issue 3, pages 983-1011, May, DOI: 10.1007/s00181-014-0821-y.
• Michael Funke & Aaron Mehrotra & Hao Yu, 2015, "Tracking Chinese CPI inflation in real time," Empirical Economics, Springer, volume 48, issue 4, pages 1619-1641, June, DOI: 10.1007/s00181-014-0837-3.
• Robert Kunst & Philip Franses, 2015, "Asymmetric time aggregation and its potential benefits for forecasting annual data," Empirical Economics, Springer, volume 49, issue 1, pages 363-387, August, DOI: 10.1007/s00181-014-0864-0.
• Michael Fertig & Martin Kahanec, 2015, "Projections of potential flows to the enlarging EU from Ukraine, Croatia and other Eastern neighbors," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), volume 4, issue 1, pages 1-27, December, DOI: 10.1186/s40176-015-0029-8.
• Kang, Kyu Ho, 2015, "The predictive density simulation of the yield curve with a zero lower bound," Journal of Empirical Finance, Elsevier, volume 33, issue C, pages 51-66, DOI: 10.1016/j.jempfin.2015.06.002.
• Wu, Feng & Myers, Robert J. & Guan, Zhengfei & Wang, Zhiguang, 2015, "Risk-adjusted implied volatility and its performance in forecasting realized volatility in corn futures prices," Journal of Empirical Finance, Elsevier, volume 34, issue C, pages 260-274, DOI: 10.1016/j.jempfin.2015.07.003.
• Nolte, Ingmar & Xu, Qi, 2015, "The economic value of volatility timing with realized jumps," Journal of Empirical Finance, Elsevier, volume 34, issue C, pages 45-59, DOI: 10.1016/j.jempfin.2015.03.019.
• He, Ling T. & Casey, K.M., 2015, "Forecasting ability of the investor sentiment endurance index: The case of oil service stock returns and crude oil prices," Energy Economics, Elsevier, volume 47, issue C, pages 121-128, DOI: 10.1016/j.eneco.2014.11.005.
• Paraschiv, Florentina & Fleten, Stein-Erik & Schürle, Michael, 2015, "A spot-forward model for electricity prices with regime shifts," Energy Economics, Elsevier, volume 47, issue C, pages 142-153, DOI: 10.1016/j.eneco.2014.11.003.
• Pringles, Rolando & Olsina, Fernando & Garcés, Francisco, 2015, "Real option valuation of power transmission investments by stochastic simulation," Energy Economics, Elsevier, volume 47, issue C, pages 215-226, DOI: 10.1016/j.eneco.2014.11.011.
• Castelli, Mauro & Vanneschi, Leonardo & De Felice, Matteo, 2015, "Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case," Energy Economics, Elsevier, volume 47, issue C, pages 37-41, DOI: 10.1016/j.eneco.2014.10.009.
• Ziel, Florian & Steinert, Rick & Husmann, Sven, 2015, "Efficient modeling and forecasting of electricity spot prices," Energy Economics, Elsevier, volume 47, issue C, pages 98-111, DOI: 10.1016/j.eneco.2014.10.012.
• Weron, Rafał & Zator, Michał, 2015, "A note on using the Hodrick–Prescott filter in electricity markets," Energy Economics, Elsevier, volume 48, issue C, pages 1-6, DOI: 10.1016/j.eneco.2014.11.014.
• Liu, Li & Ma, Feng & Wang, Yudong, 2015, "Forecasting excess stock returns with crude oil market data," Energy Economics, Elsevier, volume 48, issue C, pages 316-324, DOI: 10.1016/j.eneco.2014.12.006.
• Uritskaya, Olga Y. & Uritsky, Vadim M., 2015, "Predictability of price movements in deregulated electricity markets," Energy Economics, Elsevier, volume 49, issue C, pages 72-81, DOI: 10.1016/j.eneco.2015.01.012.
• Raviv, Eran & Bouwman, Kees E. & van Dijk, Dick, 2015, "Forecasting day-ahead electricity prices: Utilizing hourly prices," Energy Economics, Elsevier, volume 50, issue C, pages 227-239, DOI: 10.1016/j.eneco.2015.05.014.
• Sundt, Swantje & Rehdanz, Katrin, 2015, "Consumers' willingness to pay for green electricity: A meta-analysis of the literature," Energy Economics, Elsevier, volume 51, issue C, pages 1-8, DOI: 10.1016/j.eneco.2015.06.005.
• Ziel, Florian & Steinert, Rick & Husmann, Sven, 2015, "Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity markets," Energy Economics, Elsevier, volume 51, issue C, pages 430-444, DOI: 10.1016/j.eneco.2015.08.005.
• Wang, Yudong & Liu, Li & Diao, Xundi & Wu, Chongfeng, 2015, "Forecasting the real prices of crude oil under economic and statistical constraints," Energy Economics, Elsevier, volume 51, issue C, pages 599-608, DOI: 10.1016/j.eneco.2015.09.003.
• Youssef, Manel & Belkacem, Lotfi & Mokni, Khaled, 2015, "Value-at-Risk estimation of energy commodities: A long-memory GARCH–EVT approach," Energy Economics, Elsevier, volume 51, issue C, pages 99-110, DOI: 10.1016/j.eneco.2015.06.010.
• Eugenia Sanin, María & Violante, Francesco & Mansanet-Bataller, María, 2015, "Understanding volatility dynamics in the EU-ETS market," Energy Policy, Elsevier, volume 82, issue C, pages 321-331, DOI: 10.1016/j.enpol.2015.02.024.
• Aye, Goodness & Gupta, Rangan & Hammoudeh, Shawkat & Kim, Won Joong, 2015, "Forecasting the price of gold using dynamic model averaging," International Review of Financial Analysis, Elsevier, volume 41, issue C, pages 257-266, DOI: 10.1016/j.irfa.2015.03.010.
• Narayan, Seema & Smyth, Russell, 2015, "The financial econometrics of price discovery and predictability," International Review of Financial Analysis, Elsevier, volume 42, issue C, pages 380-393, DOI: 10.1016/j.irfa.2015.09.003.
• Laurini, Márcio Poletti & Mauad, Roberto Baltieri, 2015, "A common jump factor stochastic volatility model," Finance Research Letters, Elsevier, volume 12, issue C, pages 2-10, DOI: 10.1016/j.frl.2014.12.009.
• Baur, Dirk G. & Löffler, Gunter, 2015, "Predicting the equity premium with the demand for gold coins and bars," Finance Research Letters, Elsevier, volume 13, issue C, pages 172-178, DOI: 10.1016/j.frl.2015.01.007.
• Corbet, Shaen & Dowling, Michael & Cummins, Mark, 2015, "Analyst recommendations and volatility in a rising, falling, and crisis equity market," Finance Research Letters, Elsevier, volume 15, issue C, pages 187-194, DOI: 10.1016/j.frl.2015.09.009.
• Liu, Li & Zhang, Tao, 2015, "Economic policy uncertainty and stock market volatility," Finance Research Letters, Elsevier, volume 15, issue C, pages 99-105, DOI: 10.1016/j.frl.2015.08.009.
• Sogiakas, Vasilios & Karathanassis, George, 2015, "Informational efficiency and spurious spillover effects between spot and derivatives markets," Global Finance Journal, Elsevier, volume 27, issue C, pages 46-72, DOI: 10.1016/j.gfj.2015.04.004.
• Scholz, Michael & Nielsen, Jens Perch & Sperlich, Stefan, 2015, "Nonparametric prediction of stock returns based on yearly data: The long-term view," Insurance: Mathematics and Economics, Elsevier, volume 65, issue C, pages 143-155, DOI: 10.1016/j.insmatheco.2015.09.011.
• Jammazi, Rania & Lahiani, Amine & Nguyen, Duc Khuong, 2015, "A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 34, issue C, pages 173-187, DOI: 10.1016/j.intfin.2014.11.011.
• Kolasa, Marcin & Rubaszek, Michał, 2015, "Forecasting using DSGE models with financial frictions," International Journal of Forecasting, Elsevier, volume 31, issue 1, pages 1-19, DOI: 10.1016/j.ijforecast.2014.05.001.
• Barsoum, Fady & Stankiewicz, Sandra, 2015, "Forecasting GDP growth using mixed-frequency models with switching regimes," International Journal of Forecasting, Elsevier, volume 31, issue 1, pages 33-50, DOI: 10.1016/j.ijforecast.2014.04.002.
• Castle, Jennifer L. & Clements, Michael P. & Hendry, David F., 2015, "Robust approaches to forecasting," International Journal of Forecasting, Elsevier, volume 31, issue 1, pages 99-112, DOI: 10.1016/j.ijforecast.2014.11.002.
• Baumeister, Christiane & Guérin, Pierre & Kilian, Lutz, 2015, "Do high-frequency financial data help forecast oil prices? The MIDAS touch at work," International Journal of Forecasting, Elsevier, volume 31, issue 2, pages 238-252, DOI: 10.1016/j.ijforecast.2014.06.005.
• Sekkel, Rodrigo M., 2015, "Balance sheets of financial intermediaries: Do they forecast economic activity?," International Journal of Forecasting, Elsevier, volume 31, issue 2, pages 263-275, DOI: 10.1016/j.ijforecast.2014.07.003.
• Liu, Xiaochun, 2015, "Modeling time-varying skewness via decomposition for out-of-sample forecast," International Journal of Forecasting, Elsevier, volume 31, issue 2, pages 296-311, DOI: 10.1016/j.ijforecast.2014.03.020.
• Martinez, Andrew B., 2015, "How good are US government forecasts of the federal debt?," International Journal of Forecasting, Elsevier, volume 31, issue 2, pages 312-324, DOI: 10.1016/j.ijforecast.2014.08.014.
• Ferrara, Laurent & Marcellino, Massimiliano & Mogliani, Matteo, 2015, "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," International Journal of Forecasting, Elsevier, volume 31, issue 3, pages 664-679, DOI: 10.1016/j.ijforecast.2014.11.005.
• Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2015, "Markov-switching mixed-frequency VAR models," International Journal of Forecasting, Elsevier, volume 31, issue 3, pages 692-711, DOI: 10.1016/j.ijforecast.2014.05.003.
• Grassi, Stefano & Proietti, Tommaso & Frale, Cecilia & Marcellino, Massimiliano & Mazzi, Gianluigi, 2015, "EuroMInd-C: A disaggregate monthly indicator of economic activity for the Euro area and member countries," International Journal of Forecasting, Elsevier, volume 31, issue 3, pages 712-738, DOI: 10.1016/j.ijforecast.2014.08.015.
• Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015, "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, volume 31, issue 3, pages 739-756, DOI: 10.1016/j.ijforecast.2014.08.013.
• Woźniak, Tomasz, 2015, "Testing causality between two vectors in multivariate GARCH models," International Journal of Forecasting, Elsevier, volume 31, issue 3, pages 876-894, DOI: 10.1016/j.ijforecast.2015.01.005.
• Bec, Frédérique & Mogliani, Matteo, 2015, "Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?," International Journal of Forecasting, Elsevier, volume 31, issue 4, pages 1021-1042, DOI: 10.1016/j.ijforecast.2014.11.006.
• Berg, Tim O. & Henzel, Steffen R., 2015, "Point and density forecasts for the euro area using Bayesian VARs," International Journal of Forecasting, Elsevier, volume 31, issue 4, pages 1067-1095, DOI: 10.1016/j.ijforecast.2015.03.006.
• Conflitti, Cristina & De Mol, Christine & Giannone, Domenico, 2015, "Optimal combination of survey forecasts," International Journal of Forecasting, Elsevier, volume 31, issue 4, pages 1096-1103, DOI: 10.1016/j.ijforecast.2015.03.009.
• Seo, Sung Won & Kim, Jun Sik, 2015, "The information content of option-implied information for volatility forecasting with investor sentiment," Journal of Banking & Finance, Elsevier, volume 50, issue C, pages 106-120, DOI: 10.1016/j.jbankfin.2014.09.010.
• Banulescu, Georgiana-Denisa & Dumitrescu, Elena-Ivona, 2015, "Which are the SIFIs? A Component Expected Shortfall approach to systemic risk," Journal of Banking & Finance, Elsevier, volume 50, issue C, pages 575-588, DOI: 10.1016/j.jbankfin.2014.01.037.
• Lin, Li & Surti, Jay, 2015, "Capital requirements for over-the-counter derivatives central counterparties," Journal of Banking & Finance, Elsevier, volume 52, issue C, pages 140-155, DOI: 10.1016/j.jbankfin.2014.08.015.
• Siburg, Karl Friedrich & Stoimenov, Pavel & Weiß, Gregor N.F., 2015, "Forecasting portfolio-Value-at-Risk with nonparametric lower tail dependence estimates," Journal of Banking & Finance, Elsevier, volume 54, issue C, pages 129-140, DOI: 10.1016/j.jbankfin.2015.01.012.
• Weiß, Gregor N.F. & Scheffer, Marcus, 2015, "Mixture pair-copula-constructions," Journal of Banking & Finance, Elsevier, volume 54, issue C, pages 175-191, DOI: 10.1016/j.jbankfin.2015.01.008.
• Panopoulou, Ekaterini & Vrontos, Spyridon, 2015, "Hedge fund return predictability; To combine forecasts or combine information?," Journal of Banking & Finance, Elsevier, volume 56, issue C, pages 103-122, DOI: 10.1016/j.jbankfin.2015.03.004.
• Gresnigt, Francine & Kole, Erik & Franses, Philip Hans, 2015, "Interpreting financial market crashes as earthquakes: A new Early Warning System for medium term crashes," Journal of Banking & Finance, Elsevier, volume 56, issue C, pages 123-139, DOI: 10.1016/j.jbankfin.2015.03.003.
• Dionne, Georges & Pacurar, Maria & Zhou, Xiaozhou, 2015, "Liquidity-adjusted Intraday Value at Risk modeling and risk management: An application to data from Deutsche Börse," Journal of Banking & Finance, Elsevier, volume 59, issue C, pages 202-219, DOI: 10.1016/j.jbankfin.2015.06.005.
• Tian, Shuairu & Hamori, Shigeyuki, 2015, "Modeling interest rate volatility: A Realized GARCH approach," Journal of Banking & Finance, Elsevier, volume 61, issue C, pages 158-171, DOI: 10.1016/j.jbankfin.2015.09.008.
• Freeman, Mark C. & Groom, Ben & Panopoulou, Ekaterini & Pantelidis, Theologos, 2015, "Declining discount rates and the Fisher Effect: Inflated past, discounted future?," Journal of Environmental Economics and Management, Elsevier, volume 73, issue C, pages 32-49, DOI: 10.1016/j.jeem.2015.06.003.
• Khiabani, Nasser, 2015, "Oil inflows and housing market fluctuations in an oil-exporting country: Evidence from Iran," Journal of Housing Economics, Elsevier, volume 30, issue C, pages 59-76, DOI: 10.1016/j.jhe.2015.10.002.
• Ferraro, Domenico & Rogoff, Kenneth & Rossi, Barbara, 2015, "Can oil prices forecast exchange rates? An empirical analysis of the relationship between commodity prices and exchange rates," Journal of International Money and Finance, Elsevier, volume 54, issue C, pages 116-141, DOI: 10.1016/j.jimonfin.2015.03.001.
• Temesvary, Judit, 2015, "Foreign activities of U.S. banks since 1997: The roles of regulations and market conditions in crises and normal times," Journal of International Money and Finance, Elsevier, volume 56, issue C, pages 202-222, DOI: 10.1016/j.jimonfin.2014.09.008.
• Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Namba, Ryoichi & Nishiyama, Shin-Ichi, 2015, "Estimating a DSGE model for Japan in a data-rich environment," Journal of the Japanese and International Economies, Elsevier, volume 36, issue C, pages 25-55, DOI: 10.1016/j.jjie.2015.02.001.
• El-Shagi, Makram & Jung, Alexander, 2015, "Does the Greenspan era provide evidence on leadership in the FOMC?," Journal of Macroeconomics, Elsevier, volume 43, issue C, pages 173-190, DOI: 10.1016/j.jmacro.2014.11.001.
• Jalles, João Tovar & Karibzhanov, Iskander & Loungani, Prakash, 2015, "Cross-country evidence on the quality of private sector fiscal forecasts," Journal of Macroeconomics, Elsevier, volume 45, issue C, pages 186-201, DOI: 10.1016/j.jmacro.2015.04.009.
• Dragomirescu-Gaina, Catalin & Elia, Leandro & Weber, Anke, 2015, "A fast-forward look at tertiary education attainment in Europe 2020," Journal of Policy Modeling, Elsevier, volume 37, issue 5, pages 804-819, DOI: 10.1016/j.jpolmod.2015.05.002.
• He, Kaijian & Lu, Xingjing & Zou, Yingchao & Keung Lai, Kin, 2015, "Forecasting metal prices with a curvelet based multiscale methodology," Resources Policy, Elsevier, volume 45, issue C, pages 144-150, DOI: 10.1016/j.resourpol.2015.03.011.
• Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2015, "A real-time quantile-regression approach to forecasting gold returns under asymmetric loss," Resources Policy, Elsevier, volume 45, issue C, pages 299-306, DOI: 10.1016/j.resourpol.2015.07.002.
• Li, Gang & Li, Yong, 2015, "Forecasting copper futures volatility under model uncertainty," Resources Policy, Elsevier, volume 46, issue P2, pages 167-176, DOI: 10.1016/j.resourpol.2015.09.009.
• Baele, Lieven & Bekaert, Geert & Cho, Seonghoon & Inghelbrecht, Koen & Moreno, Antonio, 2015, "Macroeconomic regimes," Journal of Monetary Economics, Elsevier, volume 70, issue C, pages 51-71, DOI: 10.1016/j.jmoneco.2014.09.003.
• Aye, Goodness C. & Balcilar, Mehmet & Gupta, Rangan & Majumdar, Anandamayee, 2015, "Forecasting aggregate retail sales: The case of South Africa," International Journal of Production Economics, Elsevier, volume 160, issue C, pages 66-79, DOI: 10.1016/j.ijpe.2014.09.033.
• Fantazzini, Dean & Toktamysova, Zhamal, 2015, "Forecasting German car sales using Google data and multivariate models," International Journal of Production Economics, Elsevier, volume 170, issue PA, pages 97-135, DOI: 10.1016/j.ijpe.2015.09.010.
• Ma, Chunbo & Rogers, Abbie A. & Kragt, Marit E. & Zhang, Fan & Polyakov, Maksym & Gibson, Fiona & Chalak, Morteza & Pandit, Ram & Tapsuwan, Sorada, 2015, "Consumers’ willingness to pay for renewable energy: A meta-regression analysis," Resource and Energy Economics, Elsevier, volume 42, issue C, pages 93-109, DOI: 10.1016/j.reseneeco.2015.07.003.
• Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu & Kyophilavong, Phouphet, 2015, "Frequency domain causality analysis of stock market and economic activity in India," International Review of Economics & Finance, Elsevier, volume 39, issue C, pages 224-238, DOI: 10.1016/j.iref.2015.04.007.
• Fernández-Rodríguez, Fernando & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2015, "Volatility spillovers in EMU sovereign bond markets," International Review of Economics & Finance, Elsevier, volume 39, issue C, pages 337-352, DOI: 10.1016/j.iref.2015.07.001.
• Drakos, Anastassios A. & Kouretas, Georgios P., 2015, "Bank ownership, financial segments and the measurement of systemic risk: An application of CoVaR," International Review of Economics & Finance, Elsevier, volume 40, issue C, pages 127-140, DOI: 10.1016/j.iref.2015.02.010.
• Swanson, Norman R. & Urbach, Richard, 2015, "Prediction and simulation using simple models characterized by nonstationarity and seasonality," International Review of Economics & Finance, Elsevier, volume 40, issue C, pages 312-323, DOI: 10.1016/j.iref.2015.02.027.
• Caporin, Massimiliano & Velo, Gabriel G., 2015, "Realized range volatility forecasting: Dynamic features and predictive variables," International Review of Economics & Finance, Elsevier, volume 40, issue C, pages 98-112, DOI: 10.1016/j.iref.2015.02.021.
• Hännikäinen, Jari, 2015, "Zero lower bound, unconventional monetary policy and indicator properties of interest rate spreads," Review of Financial Economics, Elsevier, volume 26, issue C, pages 47-54, DOI: 10.1016/j.rfe.2015.03.002.
• Vortelinos, Dimitrios I., 2015, "Out-of-sample evaluation of macro announcements, linearity, long memory, heterogeneity and jumps in mini-futures markets," Review of Financial Economics, Elsevier, volume 27, issue C, pages 58-67, DOI: 10.1016/j.rfe.2015.09.001.
• Coccia, Mario & Wang, Lili, 2015, "Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy," Technological Forecasting and Social Change, Elsevier, volume 94, issue C, pages 155-169, DOI: 10.1016/j.techfore.2014.09.007.
• Massiani, Jérôme, 2015, "Cost-Benefit Analysis of policies for the development of electric vehicles in Germany: Methods and results," Transport Policy, Elsevier, volume 38, issue C, pages 19-26, DOI: 10.1016/j.tranpol.2014.10.005.
• Joshua C.C. Chan, 2015, "The Stochastic Volatility in Mean Model with Time-Varying Parameters: An Application to Inflation Modeling," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2015-07, Mar.
• Joshua C.C. Chan & Eric Eisenstat, 2015, "Efficient estimation of Bayesian VARMAs with time-varying coefficients," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2015-19, Jun.
• Joshua C.C. Chan, 2015, "Large Bayesian VARs: A flexible Kronecker error covariance structure," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2015-41, Nov.
• Thomas Brenner & Marco Capasso & Matthias Duschl & Koen Frenken & Tania Treibich, 2015, "Causal Relations between Knowledge-Intensive Business Services and Regional Employment Growth," Papers in Evolutionary Economic Geography (PEEG), Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, number 1534, Oct, revised Oct 2015.
• Freeman, Mark C. & Groom, Ben & Panopoulou, Ekaterini & Pantelidis, Theologos, 2015, "Declining discount rates and the Fisher Effect: inflated past, discounted future?," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 64143.
• Bruno Lanz & Simon Dietz & Tim Swanson, 2015, "Global Population Growth, Technology, and Malthusian Constraints: A Quantitative Growth Theoretic Perspective," EcoMod2015, EcoMod, number 8380, Jul.
• Asai, M. & McAleer, M.J., 2015, "The Impact of Jumps and Leverage in Forecasting Co-Volatility," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI 2015-06, Feb.
• Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2015, "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2015-14, May.
• de Bruijn, L.P. & Franses, Ph.H.B.F., 2015, "Stochastic levels and duration dependence in US unemployment," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2015-20, Sep.
• Allen, D.E. & McAleer, M.J. & Peiris, S. & Singh, A.K., 2015, "Nonlinear time series and neural-network models of exchange rates between the US dollar and major currencies," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2015-33, Nov.
• Chang, C-L. & Jiménez-Martín, J.A. & Maasoumi, E. & McAleer, M.J., 2015, "Choosing Expected Shortfall over VaR in Basel III Using Stochastic Dominance," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2015-38, Dec.
• Mehmet Balcilar & Rangan Gupta & STELIOS BEKIROS, 2015, "The Role Of News-Based Uncertainty Indices In Predicting Oil Markets: A Hybrid Nonparametric Quantile Causality Method," Working Papers, Eastern Mediterranean University, Department of Economics, number 15-02.
• Antoniade Ciprian ALEXANDRU & Nicoleta CARAGEA, 2015, "The Capital Markets Research Based on the Financial Quantitative Models," Eco-Economics Review, Ecological University of Bucharest, Economics Faculty and Ecology and Environmental Protection Faculty, volume 1, issue 1, pages 3-16, June.
• Tatiana Damjanovic & Sarunas Girdenas & Keqing Liu, 2015, "Stationarity of Econometric Learning with Bounded Memory and a Predicted State Variable," Discussion Papers, University of Exeter, Department of Economics, number 1502.
• Murat Mahmutoğlu & Fahriye Öztürk, 2015, "Türkiye Elektrik Tüketimi Öngörüsü ve Bu Kapsamda Geliştirilebilecek Politika Önerileri," EY International Congress on Economics II (EYC2015), November 5-6, 2015, Ankara, Turkey, Ekonomik Yaklasim Association, number 239.
• Ivan Faiella & Federico Cingano, 2015, "La tassazione verde in Italia: l?analisi di una carbon tax sui trasporti," ECONOMIA PUBBLICA, FrancoAngeli Editore, volume 2015, issue 2, pages 45-90.
• Ivan Faiella & Alessandro Mistretta, 2015, "Spesa energetica e competitività delle imprese italiane," ECONOMIA PUBBLICA, FrancoAngeli Editore, volume 2015, issue 3, pages 85-121.
• Pablo M. Pincheira & Carlos A. Medel, 2015, "Forecasting Inflation with a Simple and Accurate Benchmark: The Case of the US and a Set of Inflation Targeting Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 65, issue 1, pages 2-29, January.
• Jan Klacso, 2015, "The Effects of the Euro Area Entrance on the Monetary Transmission Mechanism in Slovakia in Light of the Global Economic Recession," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 65, issue 1, pages 55-83, January.
• David Court & Benjamin Gillen & Jordi McKenzie & Charles Plott, 2015, "Two Information Aggregation Mechanisms for Predicting the Opening Weekend Box Office Revenues of Films: Boxoffice Prophecy and Guess of Guesses," Natural Field Experiments, The Field Experiments Website, number 00541.
• Brent Meyer & Murat Tasci, 2015, "Lessons for forecasting unemployment in the United States: use flow rates, mind the trend," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2015-1, Feb.
• Stanislav Anatolyev & Nikolay Gospodinov & Ibrahim Jamali & Xiaochun Liu, 2015, "Foreign exchange predictability during the financial crisis: implications for carry trade profitability," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2015-6, Aug.
• Todd E. Clark & Fabian Krueger & Francesco Ravazzolo, 2015, "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1439, Jan, DOI: 10.26509/frbc-wp-201439.
• Brent Meyer & Murat Tasci, 2015, "Lessons for Forecasting Unemployment in the U.S.: Use Flow Rates, Mind the Trend," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1502, Feb, DOI: 10.26509/frbc-wp-201502.
• Mehmet Pasaogullari, 2015, "Forecasts from Reduced-form Models under the Zero-Lower-Bound Constraint," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1512, Aug, DOI: 10.26509/frbc-wp-201512.
• Ellis W. Tallman & Saeed Zaman, 2015, "Forecasting Inflation: Phillips Curve Effects on Services Price Measures," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1519, Oct, DOI: 10.26509/frbc-wp-201519.
• John G. Fernald & Eric Hsu & Mark M. Spiegel, 2015, "Is China fudging its figures? Evidence from trading partner data," Working Paper Series, Federal Reserve Bank of San Francisco, number 2015-12, Sep, DOI: 10.24148/wp2015-12.
• Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2015, "Nowcasting Indonesia," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2015-100, Nov, DOI: 10.17016/FEDS.2015.100.
• Michael Ehrmann & Damjan Pfajfar & Emiliano Santoro, 2015, "Consumers' Attitudes and Their Inflation Expectations," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2015-15, Mar, DOI: 10.17016/FEDS.2015.015.
• Thomas Gilbert & Chiara Scotti & Georg Strasser & Clara Vega, 2015, "Is the Intrinsic Value of Macroeconomic News Announcements Related to their Asset Price Impact?," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2015-46, Apr, DOI: 10.17016/FEDS.2015.046r1.
• Andrew C. Chang & Tyler J. Hanson, 2015, "The Accuracy of Forecasts Prepared for the Federal Open Market Committee," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2015-62, Jul, DOI: 10.17016/FEDS.2015.062.
• Alessandro Barbarino & Efstathia Bura, 2015, "Forecasting with Sufficient Dimension Reductions," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2015-74, Sep, DOI: 10.17016/FEDS.2015.074.
• Neil R. Ericsson, 2015, "Eliciting GDP Forecasts from the FOMC’s Minutes Around the Financial Crisis," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1152, Nov, DOI: 10.17016/IFDP.2015.1152.
• Michael W. McCracken & Michael T. Owyang & Tatevik Sekhposyan, 2015, "Real-Time Forecasting and Scenario Analysis using a Large Mixed-Frequency Bayesian VAR," Working Papers, Federal Reserve Bank of St. Louis, number 2015-030, Oct, revised 10 Apr 2020, DOI: 10.20955/wp.2015.030.
• Domenico Giannone & Francesca Monti & Lucrezia Reichlin, 2015, "Exploiting the monthly data flow in structural forecasting," Staff Reports, Federal Reserve Bank of New York, number 751, Dec.
• Stephanie M. Wilshusen, 2015, "Exploring the use of anonymized consumer credit information to estimate economic conditions: an application of big data," Consumer Finance Institute discussion papers, Federal Reserve Bank of Philadelphia, number 15-5, Nov.
• Michael Dotsey & Shigeru Fujita & Tom Stark, 2015, "Do Phillips curves conditionally help to forecast inflation?," Working Papers, Federal Reserve Bank of Philadelphia, number 15-16, Mar.
• Cabedo, José David & Tirado, José Miguel, 2015, "Rough Sets And Discriminant Analysis Techniques For Business Default Forecasting," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), volume 0, issue 1, pages 3-37, May.