Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting

2017

• Risse, Marian & Ohl, Ludwig, 2017, "Using dynamic model averaging in state space representation with dynamic Occam’s window and applications to the stock and gold market," Journal of Empirical Finance, Elsevier, volume 44, issue C, pages 158-176, DOI: 10.1016/j.jempfin.2017.09.005.
• Gupta, Rangan & Kotzé, Kevin, 2017, "The role of oil prices in the forecasts of South African interest rates: A Bayesian approach," Energy Economics, Elsevier, volume 61, issue C, pages 270-278, DOI: 10.1016/j.eneco.2016.11.017.
• Gupta, Rangan & Wohar, Mark, 2017, "Forecasting oil and stock returns with a Qual VAR using over 150years off data," Energy Economics, Elsevier, volume 62, issue C, pages 181-186, DOI: 10.1016/j.eneco.2017.01.001.
• Bennedsen, Mikkel, 2017, "A rough multi-factor model of electricity spot prices," Energy Economics, Elsevier, volume 63, issue C, pages 301-313, DOI: 10.1016/j.eneco.2017.02.007.
• Bataille, Chris & Melton, Noel, 2017, "Energy efficiency and economic growth: A retrospective CGE analysis for Canada from 2002 to 2012," Energy Economics, Elsevier, volume 64, issue C, pages 118-130, DOI: 10.1016/j.eneco.2017.03.008.
• Pinheiro Neto, Daywes & Domingues, Elder Geraldo & Coimbra, António Paulo & de Almeida, Aníbal Traça & Alves, Aylton José & Calixto, Wesley Pacheco, 2017, "Portfolio optimization of renewable energy assets: Hydro, wind, and photovoltaic energy in the regulated market in Brazil," Energy Economics, Elsevier, volume 64, issue C, pages 238-250, DOI: 10.1016/j.eneco.2017.03.020.
• Lof, Matthijs & Nyberg, Henri, 2017, "Noncausality and the commodity currency hypothesis," Energy Economics, Elsevier, volume 65, issue C, pages 424-433, DOI: 10.1016/j.eneco.2017.05.024.
• Zhang, Lei & Li, Yaoyu, 2017, "Regime-switching based vehicle-to-building operation against electricity price spikes," Energy Economics, Elsevier, volume 66, issue C, pages 1-8, DOI: 10.1016/j.eneco.2017.05.019.
• Campos, I. & Cortazar, G. & Reyes, T., 2017, "Modeling and predicting oil VIX: Internet search volume versus traditional mariables," Energy Economics, Elsevier, volume 66, issue C, pages 194-204, DOI: 10.1016/j.eneco.2017.06.009.
• Mirakyan, Atom & Meyer-Renschhausen, Martin & Koch, Andreas, 2017, "Composite forecasting approach, application for next-day electricity price forecasting," Energy Economics, Elsevier, volume 66, issue C, pages 228-237, DOI: 10.1016/j.eneco.2017.06.020.
• Wang, Yudong & Liu, Li & Wu, Chongfeng, 2017, "Forecasting the real prices of crude oil using forecast combinations over time-varying parameter models," Energy Economics, Elsevier, volume 66, issue C, pages 337-348, DOI: 10.1016/j.eneco.2017.07.007.
• Taylor, Nick, 2017, "Timing strategy performance in the crude oil futures market," Energy Economics, Elsevier, volume 66, issue C, pages 480-492, DOI: 10.1016/j.eneco.2017.07.019.
• Sukcharoen, Kunlapath & Leatham, David J., 2017, "Hedging downside risk of oil refineries: A vine copula approach," Energy Economics, Elsevier, volume 66, issue C, pages 493-507, DOI: 10.1016/j.eneco.2017.07.012.
• Lyu, Yongjian & Wang, Peng & Wei, Yu & Ke, Rui, 2017, "Forecasting the VaR of crude oil market: Do alternative distributions help?," Energy Economics, Elsevier, volume 66, issue C, pages 523-534, DOI: 10.1016/j.eneco.2017.06.015.
• Han, Liyan & Lv, Qiuna & Yin, Libo, 2017, "Can investor attention predict oil prices?," Energy Economics, Elsevier, volume 66, issue C, pages 547-558, DOI: 10.1016/j.eneco.2017.04.018.
• Zhao, Yang & Li, Jianping & Yu, Lean, 2017, "A deep learning ensemble approach for crude oil price forecasting," Energy Economics, Elsevier, volume 66, issue C, pages 9-16, DOI: 10.1016/j.eneco.2017.05.023.
• Ma, Feng & Wahab, M.I.M. & Huang, Dengshi & Xu, Weiju, 2017, "Forecasting the realized volatility of the oil futures market: A regime switching approach," Energy Economics, Elsevier, volume 67, issue C, pages 136-145, DOI: 10.1016/j.eneco.2017.08.004.
• Charles, Amélie & Darné, Olivier, 2017, "Forecasting crude-oil market volatility: Further evidence with jumps," Energy Economics, Elsevier, volume 67, issue C, pages 508-519, DOI: 10.1016/j.eneco.2017.09.002.
• Miao, Hong & Ramchander, Sanjay & Wang, Tianyang & Yang, Dongxiao, 2017, "Influential factors in crude oil price forecasting," Energy Economics, Elsevier, volume 68, issue C, pages 77-88, DOI: 10.1016/j.eneco.2017.09.010.
• Croonenbroeck, Carsten & Hüttel, Silke, 2017, "Quantifying the economic efficiency impact of inaccurate renewable energy price forecasts," Energy, Elsevier, volume 134, issue C, pages 767-774, DOI: 10.1016/j.energy.2017.06.077.
• Alexopoulos, Thomas A., 2017, "The growing importance of natural gas as a predictor for retail electricity prices in US," Energy, Elsevier, volume 137, issue C, pages 219-233, DOI: 10.1016/j.energy.2017.07.002.
• Moral-Carcedo, Julián & Pérez-García, Julián, 2017, "Integrating long-term economic scenarios into peak load forecasting: An application to Spain," Energy, Elsevier, volume 140, issue P1, pages 682-695, DOI: 10.1016/j.energy.2017.08.113.
• Degiannakis, Stavros & Potamia, Artemis, 2017, "Multiple-days-ahead value-at-risk and expected shortfall forecasting for stock indices, commodities and exchange rates: Inter-day versus intra-day data," International Review of Financial Analysis, Elsevier, volume 49, issue C, pages 176-190, DOI: 10.1016/j.irfa.2016.10.008.
• Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2017, "Predictability and diversification benefits of investing in commodity and currency futures," International Review of Financial Analysis, Elsevier, volume 50, issue C, pages 52-66, DOI: 10.1016/j.irfa.2016.12.009.
• Tunaru, Radu & Zheng, Teng, 2017, "Parameter estimation risk in asset pricing and risk management: A Bayesian approach," International Review of Financial Analysis, Elsevier, volume 53, issue C, pages 80-93, DOI: 10.1016/j.irfa.2017.08.004.
• Svec, Jiri & Katrak, Xerxis, 2017, "Forecasting volatility with interacting multiple models," Finance Research Letters, Elsevier, volume 20, issue C, pages 245-252, DOI: 10.1016/j.frl.2016.10.005.
• Chen, Cathy W.S. & Lin, Tsai-Yu, 2017, "Nonparametric tolerance limits for pair trading," Finance Research Letters, Elsevier, volume 21, issue C, pages 1-9, DOI: 10.1016/j.frl.2016.11.002.
• Kinateder, Harald & Hofstetter, Benedikt & Wagner, Niklas, 2017, "Do liquidity variables improve out-of-sample prediction of sovereign spreads during crisis periods?," Finance Research Letters, Elsevier, volume 21, issue C, pages 144-150, DOI: 10.1016/j.frl.2016.11.006.
• Klein, Tony & Walther, Thomas, 2017, "Fast fractional differencing in modeling long memory of conditional variance for high-frequency data," Finance Research Letters, Elsevier, volume 22, issue C, pages 274-279, DOI: 10.1016/j.frl.2016.12.020.
• Demirer, Riza & Pierdzioch, Christian & Zhang, Huacheng, 2017, "On the short-term predictability of stock returns: A quantile boosting approach," Finance Research Letters, Elsevier, volume 22, issue C, pages 35-41, DOI: 10.1016/j.frl.2016.12.032.
• Mendes, Beatriz Vaz de Melo & Lavrado, Rafael Coelho, 2017, "Implementing and testing the Maximum Drawdown at Risk," Finance Research Letters, Elsevier, volume 22, issue C, pages 95-100, DOI: 10.1016/j.frl.2017.06.001.
• Lyócsa, Štefan & Molnár, Peter, 2017, "The effect of non-trading days on volatility forecasts in equity markets," Finance Research Letters, Elsevier, volume 23, issue C, pages 39-49, DOI: 10.1016/j.frl.2017.07.002.
• Dawood, Mary & Horsewood, Nicholas & Strobel, Frank, 2017, "Predicting sovereign debt crises: An Early Warning System approach," Journal of Financial Stability, Elsevier, volume 28, issue C, pages 16-28, DOI: 10.1016/j.jfs.2016.11.008.
• Abbassi, Puriya & Brownlees, Christian & Hans, Christina & Podlich, Natalia, 2017, "Credit risk interconnectedness: What does the market really know?," Journal of Financial Stability, Elsevier, volume 29, issue C, pages 1-12, DOI: 10.1016/j.jfs.2017.01.002.
• Kolo, Horst & Tzanova, Polia, 2017, "Forecasting the German forest products trade: A vector error correction model," Journal of Forest Economics, Elsevier, volume 26, issue C, pages 30-45, DOI: 10.1016/j.jfe.2016.11.001.
• Ince, Onur & Molodtsova, Tanya, 2017, "Rationality and forecasting accuracy of exchange rate expectations: Evidence from survey-based forecasts," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 47, issue C, pages 131-151, DOI: 10.1016/j.intfin.2016.11.002.
• Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017, "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 51, issue C, pages 228-247, DOI: 10.1016/j.intfin.2017.08.005.
• Bjørnland, Hilde C. & Ravazzolo, Francesco & Thorsrud, Leif Anders, 2017, "Forecasting GDP with global components: This time is different," International Journal of Forecasting, Elsevier, volume 33, issue 1, pages 153-173, DOI: 10.1016/j.ijforecast.2016.02.004.
• Kang, Yanfei & Hyndman, Rob J. & Smith-Miles, Kate, 2017, "Visualising forecasting algorithm performance using time series instance spaces," International Journal of Forecasting, Elsevier, volume 33, issue 2, pages 345-358, DOI: 10.1016/j.ijforecast.2016.09.004.
• Hendry, David F. & Martinez, Andrew B., 2017, "Evaluating multi-step system forecasts with relatively few forecast-error observations," International Journal of Forecasting, Elsevier, volume 33, issue 2, pages 359-372, DOI: 10.1016/j.ijforecast.2016.08.007.
• Tallman, Ellis W. & Zaman, Saeed, 2017, "Forecasting inflation: Phillips curve effects on services price measures," International Journal of Forecasting, Elsevier, volume 33, issue 2, pages 442-457, DOI: 10.1016/j.ijforecast.2016.10.004.
• Delle Monache, Davide & Petrella, Ivan, 2017, "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, volume 33, issue 2, pages 482-501, DOI: 10.1016/j.ijforecast.2016.11.007.
• Ericsson, Neil R., 2017, "Economic forecasting in theory and practice: An interview with David F. Hendry," International Journal of Forecasting, Elsevier, volume 33, issue 2, pages 523-542, DOI: 10.1016/j.ijforecast.2016.10.001.
• Ericsson, Neil R., 2017, "How biased are U.S. government forecasts of the federal debt?," International Journal of Forecasting, Elsevier, volume 33, issue 2, pages 543-559, DOI: 10.1016/j.ijforecast.2016.09.001.
• Rua, António, 2017, "A wavelet-based multivariate multiscale approach for forecasting," International Journal of Forecasting, Elsevier, volume 33, issue 3, pages 581-590, DOI: 10.1016/j.ijforecast.2017.01.007.
• Hännikäinen, Jari, 2017, "When does the yield curve contain predictive power? Evidence from a data-rich environment," International Journal of Forecasting, Elsevier, volume 33, issue 4, pages 1044-1064, DOI: 10.1016/j.ijforecast.2017.05.006.
• Sbrana, Giacomo & Silvestrini, Andrea & Venditti, Fabrizio, 2017, "Short-term inflation forecasting: The M.E.T.A. approach," International Journal of Forecasting, Elsevier, volume 33, issue 4, pages 1065-1081, DOI: 10.1016/j.ijforecast.2017.06.007.
• Döpke, Jörg & Fritsche, Ulrich & Pierdzioch, Christian, 2017, "Predicting recessions with boosted regression trees," International Journal of Forecasting, Elsevier, volume 33, issue 4, pages 745-759, DOI: 10.1016/j.ijforecast.2017.02.003.
• Taylor, Nick, 2017, "Realised variance forecasting under Box-Cox transformations," International Journal of Forecasting, Elsevier, volume 33, issue 4, pages 770-785, DOI: 10.1016/j.ijforecast.2017.04.001.
• Bragoli, Daniela & Modugno, Michele, 2017, "A now-casting model for Canada: Do U.S. variables matter?," International Journal of Forecasting, Elsevier, volume 33, issue 4, pages 786-800, DOI: 10.1016/j.ijforecast.2017.03.002.
• D’Amuri, Francesco & Marcucci, Juri, 2017, "The predictive power of Google searches in forecasting US unemployment," International Journal of Forecasting, Elsevier, volume 33, issue 4, pages 801-816, DOI: 10.1016/j.ijforecast.2017.03.004.
• Dahlhaus, Tatjana & Guénette, Justin-Damien & Vasishtha, Garima, 2017, "Nowcasting BRIC+M in real time," International Journal of Forecasting, Elsevier, volume 33, issue 4, pages 915-935, DOI: 10.1016/j.ijforecast.2017.05.002.
• Kolev, Gueorgui I. & Karapandza, Rasa, 2017, "Out-of-sample equity premium predictability and sample split–invariant inference," Journal of Banking & Finance, Elsevier, volume 84, issue C, pages 188-201, DOI: 10.1016/j.jbankfin.2016.07.017.
• Bella, Giovanni & Mattana, Paolo & Venturi, Beatrice, 2017, "Shilnikov chaos in the Lucas model of endogenous growth," Journal of Economic Theory, Elsevier, volume 172, issue C, pages 451-477, DOI: 10.1016/j.jet.2017.09.010.
• Chen, Jian & Jiang, Fuwei & Liu, Yangshu & Tu, Jun, 2017, "International volatility risk and Chinese stock return predictability," Journal of International Money and Finance, Elsevier, volume 70, issue C, pages 183-203, DOI: 10.1016/j.jimonfin.2016.08.007.
• Degiannakis, Stavros & Filis, George, 2017, "Forecasting oil price realized volatility using information channels from other asset classes," Journal of International Money and Finance, Elsevier, volume 76, issue C, pages 28-49, DOI: 10.1016/j.jimonfin.2017.05.006.
• David, Benjamin, 2017, "Computer technology and probable job destructions in Japan: An evaluation," Journal of the Japanese and International Economies, Elsevier, volume 43, issue C, pages 77-87, DOI: 10.1016/j.jjie.2017.01.001.
• Fanelli, Luca & Sorge, Marco M., 2017, "Indeterminate forecast accuracy under indeterminacy," Journal of Macroeconomics, Elsevier, volume 53, issue C, pages 57-70, DOI: 10.1016/j.jmacro.2017.05.007.
• Aepli, Matthias D. & Füss, Roland & Henriksen, Tom Erik S. & Paraschiv, Florentina, 2017, "Modeling the multivariate dynamic dependence structure of commodity futures portfolios," Journal of Commodity Markets, Elsevier, volume 6, issue C, pages 66-87, DOI: 10.1016/j.jcomm.2017.05.002.
• Ekici, Oya & Nemlioğlu, Karun, 2017, "Emerging economies’ short-term private external debt as evidence of economic crisis," Journal of Policy Modeling, Elsevier, volume 39, issue 2, pages 232-246, DOI: 10.1016/j.jpolmod.2017.01.002.
• Atashbar, Tohid & Arani, Abbas Assari & Antoun, Joseph & Bossert, Thomas, 2017, "Health reform policy-making: Fiscal sustainability matters (The case of Iran’s PresidentCare)," Journal of Policy Modeling, Elsevier, volume 39, issue 6, pages 1086-1101, DOI: 10.1016/j.jpolmod.2017.07.005.
• Gilbert, Thomas & Scotti, Chiara & Strasser, Georg & Vega, Clara, 2017, "Is the intrinsic value of a macroeconomic news announcement related to its asset price impact?," Journal of Monetary Economics, Elsevier, volume 92, issue C, pages 78-95, DOI: 10.1016/j.jmoneco.2017.09.008.
• Mei, Dexiang & Liu, Jing & Ma, Feng & Chen, Wang, 2017, "Forecasting stock market volatility: Do realized skewness and kurtosis help?," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 481, issue C, pages 153-159, DOI: 10.1016/j.physa.2017.04.020.
• Cortés, Lina M. & Mora-Valencia, Andrés & Perote, Javier, 2017, "Measuring firm size distribution with semi-nonparametric densities," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 485, issue C, pages 35-47, DOI: 10.1016/j.physa.2017.05.019.
• Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017, "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, volume 65, issue C, pages 276-284, DOI: 10.1016/j.qref.2017.01.005.
• Christou, Christina & Gupta, Rangan & Hassapis, Christis, 2017, "Does economic policy uncertainty forecast real housing returns in a panel of OECD countries? A Bayesian approach," The Quarterly Review of Economics and Finance, Elsevier, volume 65, issue C, pages 50-60, DOI: 10.1016/j.qref.2017.01.002.
• Balcilar, Mehmet & Gupta, Rangan & Sousa, Ricardo M. & Wohar, Mark E., 2017, "Do cay and cayMS predict stock and housing returns? Evidence from a nonparametric causality test," International Review of Economics & Finance, Elsevier, volume 48, issue C, pages 269-279, DOI: 10.1016/j.iref.2016.12.007.
• Suh, Sangwon, 2017, "Sudden stops of capital flows to emerging markets: A new prediction approach," International Review of Economics & Finance, Elsevier, volume 48, issue C, pages 289-308, DOI: 10.1016/j.iref.2016.12.013.
• Chen, Nan-Kuang & Chen, Shiu-Sheng & Chou, Yu-Hsi, 2017, "Further evidence on bear market predictability: The role of the external finance premium," International Review of Economics & Finance, Elsevier, volume 50, issue C, pages 106-121, DOI: 10.1016/j.iref.2017.03.019.
• Park, Hail & Shin, Yongcheol, 2017, "Exploring international linkages using generalised connectedness measures: The case of Korea," International Review of Economics & Finance, Elsevier, volume 50, issue C, pages 49-64, DOI: 10.1016/j.iref.2017.03.029.
• Caraiani, Petre, 2017, "Evaluating exchange rate forecasts along time and frequency," International Review of Economics & Finance, Elsevier, volume 51, issue C, pages 60-81, DOI: 10.1016/j.iref.2017.05.002.
• Buncic, Daniel & Tischhauser, Martin, 2017, "Macroeconomic factors and equity premium predictability," International Review of Economics & Finance, Elsevier, volume 51, issue C, pages 621-644, DOI: 10.1016/j.iref.2017.07.006.
• Jalles, João Tovar, 2017, "On the rationality and efficiency of inflation forecasts: Evidence from advanced and emerging market economies," Research in International Business and Finance, Elsevier, volume 40, issue C, pages 175-189, DOI: 10.1016/j.ribaf.2017.01.007.
• Walther, Thomas & Klein, Tony & Thu, Hien Pham & Piontek, Krzysztof, 2017, "True or spurious long memory in European non-EMU currencies," Research in International Business and Finance, Elsevier, volume 40, issue C, pages 217-230, DOI: 10.1016/j.ribaf.2017.01.003.
• Maggi, Bernardo, 2017, "A technology-based countries-interaction dynamic model for the study of European growth and stability: Were there the conditions for convergence?," Technological Forecasting and Social Change, Elsevier, volume 125, issue C, pages 275-288, DOI: 10.1016/j.techfore.2017.07.002.
• Jason Allen, 2017, "Loan pricing, stress testing and capital allocation," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 60, issue 2, pages 39-64.
• Hilde C. Bjornland & Leif Anders Thorsrud & Sepideh Khayati Zahiri, 2017, "Do Central Banks Respond Timely to Developments in the Global Economy?," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2017-20, Mar.
• George Kapetanios & Simon Price & Garry Young, 2017, "A UK Financial Conditions Index Using Targeted Data Reduction: Forecasting and Structural Identification," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2017-58, Sep.
• Thomas Goodwin & Jing Tian, 2017, "A State Space Approach to Evaluate Multi-horizon Forecasts," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2017-67, Nov.
• Beili Zhu, 2017, "Forecasting the Real Price of Oil Under Alternative Specifications of Constant and Time-Varying Volatility," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2017-71, Nov.
• Gómez-Zamudio, Luis M. & Ibarra, Raúl, 2017, "Are daily financial data useful for forecasting GDP? Evidence from Mexico," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 123310, Apr.
• Dassios, Angelos & Zhao, Hongbiao, 2017, "Efficient simulation of clustering jumps with CIR intensity," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 74205, Nov.
• Zivile Zekaite & Gabe de Bondt & Elke Hahn, 2017, "Alice: A New Inflation Monitoring Tool," EcoMod2017, EcoMod, number 10414, Jul.
• Alberto Urtasun & Mara Gil & Javier J. Perez, 2017, "Nowcasting private consumption: traditional indicators, uncertainty measures, and the role of internet search query data," EcoMod2017, EcoMod, number 10745, Jul.
• Jaume García & Levi Pérez & Plácido Rodríguez, 2017, "Forecasting football match results: are the many smarter than the few?," Chapters, Edward Elgar Publishing, chapter 5, in: Plácido Rodríguez & Brad R. Humphreys & Robert Simmons, "The Economics of Sports Betting".
• Worawuth Kongsilp & Cesario Mateus, 2017, "Volatility risk and stock return predictability on global financial crises," China Finance Review International, Emerald Group Publishing Limited, volume 7, issue 1, pages 33-66, February, DOI: 10.1108/CFRI-04-2016-0021.
• Dilip Kumar & Srinivasan Maheswaran, 2017, "Value-at-risk and expected shortfall using the unbiased extreme value volatility estimator," Studies in Economics and Finance, Emerald Group Publishing Limited, volume 34, issue 4, pages 506-526, October, DOI: 10.1108/SEF-03-2016-0061.
• Asai, M. & McAleer, M.J., 2017, "Forecasting the Volatility of Nikkei 225 Futures," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number TI 2017-017/III, Jan.
• Rocío Elizondo, 2017, "Pronósticos de la estructura temporal de las tasas de interés en México con base en un modelo afín," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, volume 32, issue 2, pages 213-253.
• Korobilis, D, 2017, "Forecasting with many predictors using message passing algorithms," Essex Finance Centre Working Papers, University of Essex, Essex Business School, number 19565, May.
• Kapetanios, G & Price, SG & Young, G, 2017, "A UK financial conditions index using targeted data reduction: forecasting and structural identification," Essex Finance Centre Working Papers, University of Essex, Essex Business School, number 20328, Aug.
• Dorin JULA & Nicolae Marius JULA, 2017, "Mixed Sampling Panel Data Model for Regional Job Vacancies Forecasting," Eco-Economics Review, Ecological University of Bucharest, Economics Faculty and Ecology and Environmental Protection Faculty, volume 3, issue 1, pages 3-20, June.
• Caterina Astarita & Gaetano D'Adamo, 2017, "Inequality and Structural Reforms: Methodological Concerns and Lessons from Policy," European Economy - Discussion Papers, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, number 071, Dec.
• Matan Mayer & Martin Bechthold, 2017, "Development of policy metrics for circularity assessment in building assemblies," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, volume 2017, issue 1-2, pages 57-84.
• Matej Nevrla, 2017, "Systemic Risk in the European Financial and Energy Sector: Dynamic Factor Copula Approach," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2017/11, May, revised May 2017.
• Jonathan Benchimol & Makram El-Shagi, 2017, "Forecast Performance in Times of Terrorism," CFDS Discussion Paper Series, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China, number 2017/1, Dec.
• Makram El-Shagi & Yizhuang Zheng, 2017, "Money Demand in China: A Meta-Study," CFDS Discussion Paper Series, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China, number 2017/3, Dec.
• Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2017, "Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers," Working Papers, Fondazione Eni Enrico Mattei, number 2017.06, Feb.
• Hovick Shahnazarian & Martin Solberger & Erik Spånberg, 2017, "Forecasting and Analysing Corporate Tax Revenues in Sweden Using Bayesian VAR Models," Finnish Economic Papers, Finnish Economic Association, volume 28, issue 1, pages 50-74, Autumn.
• Michelle L. Barnes & Giovanni P. Olivei, 2017, "Financial variables and macroeconomic forecast errors," Working Papers, Federal Reserve Bank of Boston, number 17-17, Oct.
• Edward S. Knotek & Saeed Zaman, 2017, "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1702, Mar, DOI: 10.26509/frbc-wp-201702.
• Christian Garciga & Edward S. Knotek, 2017, "Forecasting GDP Growth with NIPA Aggregates," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1708, May, DOI: 10.26509/frbc-wp-201708.
• Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017, "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1715, Sep, DOI: 10.26509/frbc-wp-201715.
• Andrew Martinez, 2017, "Testing for Differences in Path Forecast Accuracy: Forecast-Error Dynamics Matter," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1717, Nov, DOI: 10.26509/frbc-wp-201717.
• Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017, "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers, Federal Reserve Bank of Cleveland, number 17-15R, Sep, DOI: 10.26509/frbc-wp-201715r.
• Ayse Kabukcuoglu & Enrique Martínez García & Mehmet A. Soytas, 2017, "Exploring the Nexus Between Inflation and Globalization Under Inflation Targeting Through the Lens of New Zealand’s Experience," Globalization Institute Working Papers, Federal Reserve Bank of Dallas, number 308, Mar, DOI: 10.24149/gwp308.
• Alessandro Barbarino & Efstathia Bura, 2017, "A Unified Framework for Dimension Reduction in Forecasting," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2017-004, Jan, DOI: 10.17016/FEDS.2017.004.
• Christopher A. Hollrah & Steven A. Sharpe & Nitish R. Sinha, 2017, "What's the Story? A New Perspective on the Value of Economic Forecasts," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2017-107, Nov, DOI: 10.17016/FEDS.2017.107r1.
• Pablo Guerrón-Quintana & Molin Zhong, 2017, "Macroeconomic Forecasting in Times of Crises," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2017-018, Jan, DOI: 10.17016/FEDS.2017.018.
• David L. Reifschneider & Peter Tulip, 2017, "Gauging the Uncertainty of the Economic Outlook Using Historical Forecasting Errors : The Federal Reserve's Approach," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2017-020, Feb, DOI: 10.17016/FEDS.2017.020.
• Travis J. Berge, 2017, "Understanding Survey Based Inflation Expectations," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2017-046, Apr, DOI: 10.17016/FEDS.2017.046.
• Todd Prono, 2017, "Regular Variation of Popular GARCH Processes Allowing for Distributional Asymmetry," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2017-095, Sep, DOI: 10.17016/FEDS.2017.095.
• Neil R. Ericsson, 2017, "How Biased Are U.S. Government Forecasts of the Federal Debt?," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1189, Jan, DOI: 10.17016/IFDP.2017.1189.
• Thomas R. Cook & Aaron Smalter Hall, 2017, "Macroeconomic Indicator Forecasting with Deep Neural Networks," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 17-11, Sep, DOI: 10.18651/RWP2017-11.
• Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017, "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers, Federal Reserve Bank of St. Louis, number 2017-026, Aug, DOI: 10.20955/wp.2017.026.
• Michael W. McCracken & Joseph McGillicuddy, 2017, "An Empirical Investigation of Direct and Iterated Multistep Conditional Forecasts," Working Papers, Federal Reserve Bank of St. Louis, number 2017-40, Nov, DOI: 10.20955/wp.2017.040.
• Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2017, "Macroeconomic nowcasting and forecasting with big data," Staff Reports, Federal Reserve Bank of New York, number 830, Nov.
• Michael Dotsey & Shigeru Fujita & Tom Stark, 2017, "Do Phillips Curves Conditionally Help to Forecast Inflation?," Working Papers, Federal Reserve Bank of Philadelphia, number 17-26, Aug.
• Giampiero M. Gallo & Edoardo Otranto, 2017, "Combining Sharp and Smooth Transitions in Volatility Dynamics: a Fuzzy Regime Approach," Econometrics Working Papers Archive, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", number 2017_05, Aug.
• Ludovic Dobbelaere & Igor Lebrun, 2017, "Working Paper 12-17 - Évaluation de la précision des prévisions à court terme du BFP - Une mise à jour
  [Working Paper 12-17 - Evaluatie van de nauwkeurigheid van de kortetermijnvooruitzichten va," Working Papers, Federal Planning Bureau, Belgium, number 201712, Sep.
• Igor Lebrun, 2017, "Working Paper 13-17 - Évaluation de la précision des perspectives à moyen terme du BFP - Une mise à jour
  [Working Paper 13-17 - Evaluatie van de nauwkeurigheid van de middellangetermijnvooruitzic," Working Papers, Federal Planning Bureau, Belgium, number 201713, Sep.
• Debnath, Deepayan & Babu, Suresh Chandra & Ghosh, Parijat & Helmer, Michael, 2017, "Impact of India’s National Food Security Act on domestic and international rice markets," IFPRI discussion papers, International Food Policy Research Institute (IFPRI), number 1635.
• Căpățînă Adrian-Nicolae, 2017, "Evaluarea riscului unui portofoliu de acțiuni utilizând metoda Value at Risk," Journal of Financial Studies, Institute of Financial Studies, volume 3, issue 2, pages 140-156, June.
• Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Deryugin Alexander & Lyashok Viktor & Kiyutsevskaya Anna & Arlashkin Igor, 2017, "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 10, pages 1-30, May.
• Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Ponomarev Yuri & Kiyutsevskaya Anna & Miller Evgenia & Pleskachev Yuri & Khudko Elizaveta, 2017, "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 11, pages 1-27, June.
• Bobylev Yuri & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Florinskaya Yulia & Mkrtchian Nikita, 2017, "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 12, pages 1-27, June.
• Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Grishina Elena & Knobel Alexander & Khromov Mikhail & Tsukhlo Sergey & Gorshkova Taisiya, 2017, "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 14, pages 1-24, July.
• Khromov Mikhail & Tsukhlo Sergey & Deryugin Alexander & Kaukin Andrey & Miller Evgenia & Tishchenko Tatiana, 2017, "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 15, pages 1-24, September.
• Bozhechkova Alexandra & Trunin Pavel & Shagaida Natalia & Kaukin Andrey & Zubarevich Natalia & Miller Evgenia & Sokolov Ilya & Malinina Tatiana, 2017, "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 16, pages 1-24, September.
• Avraamova Elena & Loginov Dmitry & Bobylev Yuri & Rasenko Oleg & Knobel Alexander & Khromov Mikhail & Tsukhlo Sergey & Zaitsev Yuri, 2017, "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 17, pages 1-23, October.
• Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Khromov Mikhail & Tsukhlo Sergey & Lyashok V. & Gurevich Vladimir, 2017, "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 2, pages 1-23, February.
• Khromov Mikhail & Tsukhlo Sergey & Uzun Vasily & Lyashok Viktor, 2017, "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 21, pages 1-27, December.
• Bobylev Yuri & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey, 2017, "This publication deals with the issues related to direct foreign investments, living standards, wages in educational institutions, short-term forecasting of GDP," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 23, pages 1-17, December.
• Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Gurevich Vladimir & Zolotareva Anna, 2017, "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 6, pages 1-21, April.
• Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Khromov Mikhail & Tsukhlo Sergey & Kaukin Andrey & Gurevich Vladimir & Miller Evgenia, 2017, "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 8, pages 1-26, April.
• Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Deryugin Alexander & Lyashok Viktor & Kiyutsevskaya Anna & Arlashkin Igor, 2017, "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 10, pages 1-30, May.
• Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Ponomarev Yuri & Kiyutsevskaya Anna & Miller Evgenia & Pleskachev Yuri & Khudko Elizaveta, 2017, "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 11, pages 1-27, June.
• Bobylev Yuri & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Florinskaya Yulia & Mkrtchian Nikita, 2017, "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 12, pages 1-27, June.
• Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Grishina Elena & Knobel Alexander & Khromov Mikhail & Tsukhlo Sergey & Gorshkova Taisiya, 2017, "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 14, pages 1-24, July.
• Khromov Mikhail & Tsukhlo Sergey & Deryugin Alexander & Kaukin Andrey & Miller Evgenia & Tishchenko Tatiana, 2017, "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 15, pages 1-24, September.
• Bozhechkova Alexandra & Trunin Pavel & Shagaida Natalia & Kaukin Andrey & Zubarevich Natalia & Miller Evgenia & Sokolov Ilya & Malinina Tatiana, 2017, "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 16, pages 1-24, September.
• Avraamova Elena & Loginov Dmitry & Bobylev Yuri & Rasenko Oleg & Knobel Alexander & Khromov Mikhail & Tsukhlo Sergey & Zaitsev Yuri, 2017, "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 17, pages 1-23, October.
• Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Khromov Mikhail & Tsukhlo Sergey & Lyashok V., 2017, "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 2, pages 1-23, February.
• Khromov Mikhail & Tsukhlo Sergey & Uzun Vasily & Lyashok Viktor, 2017, "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 1-27, December.
• Bobylev Yuri & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey, 2017, "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 1-17, December.
• Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Gurevich Vladimir & Zolotareva Anna, 2017, "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 6, pages 1-21, April.
• Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Khromov Mikhail & Tsukhlo Sergey & Kaukin Andrey & Gurevich Vladimir & Miller Evgenia, 2017, "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 8, pages 1-26, April.
• Tsukhlo Sergey, 2017, "Russian industrial enterprises in 2016 (on business surveys’ findings)," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2017-278, revised 2017.
• Tran Thanh Hoa, 2017, "Forecasting Inflation in Vietnam with Univariate and Vector Autoregressive Models," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 05-2017, Feb.
• Martina Hengge & Seton Leonard, 2017, "Factor Models for Non-Stationary Series: Estimates of Monthly U.S. GDP," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 13-2017, Jun.
• Adrien Lagarde & Abdoul Ahad-Cissé & Sophie Gourguet & Olivier Le Pape & Olivier Thébaud & Nathalie Caill-Milly & Gilles Morandeau & Claire Macher & Luc Doyen, 2017, "How MMEY mitigates bio-economic impacts of climate change on mixed fisheries," Cahiers du GREThA (2007-2019), Groupe de Recherche en Economie Théorique et Appliquée (GREThA), number 2017-22.
• Sri Hapsari Wijayanti, 2017, "The Canvas Model as a Strategy for Improving Financial Profits: A Casey Study of Online Businesses in Indonesia," GATR Journals, Global Academy of Training and Research (GATR) Enterprise, number jber148, Dec.
• Neil R. Ericsson, 2017, "How Biased Are U.S. Government Forecasts of the Federal Debt?," Working Papers, The George Washington University, The Center for Economic Research, number 2017-001, Jan.
• Lionel Fontagné & Jean Fouré, 2017, "La politique commerciale au service de la politique climatique," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number hal-01459839, Jan.
• Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017, "The contribution of jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number halshs-01442618, Jan.
• Lionel Fontagné & Jean Fouré, 2017, "La politique commerciale au service de la politique climatique," Post-Print, HAL, number hal-01459839, Jan.
• Anne-Charlotte Paret, 2017, "Debt sustainability in emerging market countries: Some policy guidelines from a fan-chart approach," Post-Print, HAL, number hal-01590005, Jun, DOI: 10.1016/j.econmod.2017.01.010.
• Amélie Charles & Olivier Darné, 2017, "Forecasting crude-oil market volatility: Further evidence with jumps," Post-Print, HAL, number hal-01598141, Sep, DOI: 10.1016/j.eneco.2017.09.002.
• Laurent Ferrara & Clément Marsilli, 2019, "Nowcasting global economic growth: A factor-augmented mixed-frequency approach," Post-Print, HAL, number hal-01636761, DOI: 10.1111/twec.12708.
• Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017, "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Post-Print, HAL, number hal-01795051, Mar, DOI: 10.1080/07350015.2015.1123636.
• Serge Darolles & Christian Francq & Sébastien Laurent, 2017, "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print, HAL, number hal-04590471, Aug.
• Serge Darolles & Christian Francq & Sébastien Laurent, 2017, "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print, HAL, number hal-04590522, Jun.
• Vanella, Patrizio, 2017, "Stochastische Prognose demografischer Komponenten auf Basis der Hauptkomponentenanalyse," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-597, Jun.
• Vanella, Patrizio & Deschermeier, Philipp, 2017, "Ein stochastisches Prognosemodell internationaler Migration in Deutschland," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-605, Aug.
• Vanella, Patrizio, 2017, "Age- and Sex-Specific Fertility in Germany until the Year 2040 - The Impact of International Migration," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-606, Sep.
• Franziska K. Kruse & Wolfgang Maennig, 2017, "The future development of world records," Working Papers, Chair for Economic Policy, University of Hamburg, number 061, Oct.
• Przemyslaw Zbierowski, 2017, "The Aspirations of New Technology-Based Firms in CEE and CIS Countries," Foresight and STI Governance, National Research University Higher School of Economics, volume 11, issue 3, pages 50-60.
• Olga Obraztsova & Tatiana Poliakova & Ekaterina Popovskaya, 2017, "The Choice of Funding Sources for Start-Ups in a Transitional Economy: The Ability to Predict in a National Context," Foresight and STI Governance, National Research University Higher School of Economics, volume 11, issue 3, pages 71-81.
• Victoria Golikova & Boris Kuznetsov, 2017, "Suboptimal Size: Factors Preventing the Growth of Russian Small and Medium-Sized Enterprises," Foresight and STI Governance, National Research University Higher School of Economics, volume 11, issue 3, pages 83-93.
• Evgeniy M. Ozhegov & Alina Ozhegova, 2017, "Regression Tree Model for Analysis of Demand with Heterogeneity and Censorship," HSE Working papers, National Research University Higher School of Economics, number WP BRP 174/EC/2017.
• Takeuchi-Nogimori, Asuka, 2017, "An Empirical Analysis of Nikkei 225 Options Using Realized GARCH Models," Economic Review, Hitotsubashi University, volume 68, issue 2, pages 97-113, April, DOI: 10.15057/28531.
• Violeta DUTA, 2017, "Analysis and Modeling of NYSE Arca Oil & Gas Stock Index Returns," Hyperion Economic Journal, Faculty of Economic Sciences, Hyperion University of Bucharest, Romania, volume 5, issue 4, pages 48-62, December.
• Gaglianone, Wagner Piazza & Dutra Areosa, Waldyr, 2017, "Financial Conditions Indicator for Brazil," IDB Publications (Working Papers), Inter-American Development Bank, number 8488, Aug, DOI: http://dx.doi.org/10.18235/0011805.
• Benito Muela, Sonia & López Martín, Carmen & Arguedas Sanz, Raquel, 2017, "An Application Of Extreme Value Theory In Estimating Liquidity Risk," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), volume 23, issue 3, pages 157-164.
• G.C. Imanov & H.S.Alieva & R.A.Yusifzadeh, 2017, "Financial Stability In Azerbaijan: The Application Of Fuzzy Approach," Bulletin of Monetary Economics and Banking, Bank Indonesia, volume 19, issue 3, pages 319-334, January, DOI: https://doi.org/10.21098/bemp.v19i3.
• Bambang Pramono & Syachman Perdymer & Handri Adiwilaga & Nurkholisoh Ibnu Aman & Rio Khasananda & Saraswati & Illinia A. Riyadi & Bintari Dewi Darmaputri, 2017, "Quarterly Outlook On Monetary, Banking, And Payment System In Indonesia: Quarter Ii, 2017," Bulletin of Monetary Economics and Banking, Bank Indonesia, volume 20, issue 1, pages 1-28, July, DOI: https://doi.org/10.21098/bemp.v20i1.
• Valentina Aprigliano & Claudia Foroni & Massimiliano Marcellino & Gianluigi Mazzi & Fabrizio Venditti, 2017, "A daily indicator of economic growth for the euro area," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, volume 7, issue 1/2, pages 43-63.
• Le-Yu Chen & Sokbae (Simon) Lee, 2017, "Best subset binary prediction," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP50/17, Nov.
• Michael Ehrmann & Damjan Pfajfar & Emiliano Santoro, 2017, "Consumers' Attitudes and Their Inflation Expectations," International Journal of Central Banking, International Journal of Central Banking, volume 13, issue 1, pages 225-259, February.
• Stavroula A Chrysanthopoulou, 2017, "MILC: A Microsimulation Model of the Natural History of Lung Cancer," International Journal of Microsimulation, International Microsimulation Association, volume 10, issue 3, pages 5-26.
• Christian Menden & Christian R. Proaño, 2017, "Dissecting the financial cycle with dynamic factor models," IMK Working Paper, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute, number 183-2017.
• Christian R. Proaño & Artur Tarassow, 2017, "Evaluating the predicting power of ordered probit models for multiple business cycle phases in the U.S. and Japan," IMK Working Paper, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute, number 188-2017.
• Thorsten Simon & Peter Fabsic & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2017, "Probabilistic forecasting of thunderstorms in the Eastern Alps," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2017-25, Dec.
• José A. Álvarez-Jareño & Elena Badal-Valero & José Manuel Pavía, 2017, "Using machine learning for financial fraud detection in the accounts of companies investigated for money laundering," Working Papers, Economics Department, Universitat Jaume I, Castellón (Spain), number 2017/07.
• Dr. Sudeshna Ghosh, 2017, "Forecasting Exports of Tea from India : Application of Arima Model," Journal of Commerce and Trade, Society for Advanced Management Studies, volume 12, issue 2, pages 116-129, October.
• Bernard Njindan Iyke & Sin-Yu Ho, 2017, "Monetary uncertainty and the demand for money in Ghana," Journal of Developing Areas, Tennessee State University, College of Business, volume 51, issue 4, pages 1-15, October-D.
• Fizzah Malik & Fangjun Wang & Muhammad Akram Naseem, 2017, "Econometric estimation of banking stocks," Journal of Developing Areas, Tennessee State University, College of Business, volume 51, issue 4, pages 207-237, October-D.
• Jose Cuesta & Gabriel Lara Ibarra, 2017, "Comparing Cross-Survey Micro Imputation and Macro Projection Techniques: Poverty in Post Revolution Tunisia," Journal of Income Distribution, Ad libros publications inc., volume 25, issue 1, pages 1-30, March.
• Heilemann Ullrich & Schnorr-Bäcker Susanne, 2017, "Could the start of the German recession 2008–2009 have been foreseen? Evidence from Real-Time Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 237, issue 1, pages 29-62, February, DOI: 10.1515/jbnst-2016-1002.
• William A. Barnett & Liting Su, 2017, "Financial Firm Production Of Inside Monetary And Credit Card Services: An Aggregation Theoretic Approach1," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 201707, Oct, revised Oct 2017.

2016

• Campbell, Randall C. & Nagel, Gregory L., 2016, "Private information and limitations of Heckman's estimator in banking and corporate finance research," Journal of Empirical Finance, Elsevier, volume 37, issue C, pages 186-195, DOI: 10.1016/j.jempfin.2016.03.007.
• Nucera, Federico & Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2016, "The information in systemic risk rankings," Journal of Empirical Finance, Elsevier, volume 38, issue PA, pages 461-475, DOI: 10.1016/j.jempfin.2016.01.002.