Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting

2016

• Davidson, James & Li, Xiaoyu, 2016, "Strict stationarity, persistence and volatility forecasting in ARCH(∞) processes," Journal of Empirical Finance, Elsevier, volume 38, issue PB, pages 534-547, DOI: 10.1016/j.jempfin.2015.08.010.
• Galvão, Ana Beatriz & Giraitis, Liudas & Kapetanios, George & Petrova, Katerina, 2016, "A time varying DSGE model with financial frictions," Journal of Empirical Finance, Elsevier, volume 38, issue PB, pages 690-716, DOI: 10.1016/j.jempfin.2016.02.012.
• Feuerriegel, Stefan & Bodenbenner, Philipp & Neumann, Dirk, 2016, "Value and granularity of ICT and smart meter data in demand response systems," Energy Economics, Elsevier, volume 54, issue C, pages 1-10, DOI: 10.1016/j.eneco.2015.11.016.
• Benedetto, F. & Giunta, G. & Mastroeni, L., 2016, "On the predictability of energy commodity markets by an entropy-based computational method," Energy Economics, Elsevier, volume 54, issue C, pages 302-312, DOI: 10.1016/j.eneco.2015.12.009.
• Lux, Thomas & Segnon, Mawuli & Gupta, Rangan, 2016, "Forecasting crude oil price volatility and value-at-risk: Evidence from historical and recent data," Energy Economics, Elsevier, volume 56, issue C, pages 117-133, DOI: 10.1016/j.eneco.2016.03.008.
• Yin, Libo & Yang, Qingyuan, 2016, "Predicting the oil prices: Do technical indicators help?," Energy Economics, Elsevier, volume 56, issue C, pages 338-350, DOI: 10.1016/j.eneco.2016.03.017.
• Naser, Hanan, 2016, "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, volume 56, issue C, pages 75-87, DOI: 10.1016/j.eneco.2016.02.017.
• Nowotarski, Jakub & Weron, Rafał, 2016, "On the importance of the long-term seasonal component in day-ahead electricity price forecasting," Energy Economics, Elsevier, volume 57, issue C, pages 228-235, DOI: 10.1016/j.eneco.2016.05.009.
• Klein, Tony & Walther, Thomas, 2016, "Oil price volatility forecast with mixture memory GARCH," Energy Economics, Elsevier, volume 58, issue C, pages 46-58, DOI: 10.1016/j.eneco.2016.06.004.
• Wen, Fenghua & Gong, Xu & Cai, Shenghua, 2016, "Forecasting the volatility of crude oil futures using HAR-type models with structural breaks," Energy Economics, Elsevier, volume 59, issue C, pages 400-413, DOI: 10.1016/j.eneco.2016.07.014.
• Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2016, "A new approach to modeling the effects of temperature fluctuations on monthly electricity demand," Energy Economics, Elsevier, volume 60, issue C, pages 206-216, DOI: 10.1016/j.eneco.2016.09.016.
• Chang, Yoosoon & Choi, Yongok & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y., 2016, "Disentangling temporal patterns in elasticities: A functional coefficient panel analysis of electricity demand," Energy Economics, Elsevier, volume 60, issue C, pages 232-243, DOI: 10.1016/j.eneco.2016.10.002.
• Manner, Hans & Türk, Dennis & Eichler, Michael, 2016, "Modeling and forecasting multivariate electricity price spikes," Energy Economics, Elsevier, volume 60, issue C, pages 255-265, DOI: 10.1016/j.eneco.2016.10.006.
• Drachal, Krzysztof, 2016, "Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time?," Energy Economics, Elsevier, volume 60, issue C, pages 35-46, DOI: 10.1016/j.eneco.2016.09.020.
• Hussain, Anwar & Rahman, Muhammad & Memon, Junaid Alam, 2016, "Forecasting electricity consumption in Pakistan: the way forward," Energy Policy, Elsevier, volume 90, issue C, pages 73-80, DOI: 10.1016/j.enpol.2015.11.028.
• Fantazzini, Dean, 2016, "The oil price crash in 2014/15: Was there a (negative) financial bubble?," Energy Policy, Elsevier, volume 96, issue C, pages 383-396, DOI: 10.1016/j.enpol.2016.06.020.
• Nowotarski, Jakub & Liu, Bidong & Weron, Rafał & Hong, Tao, 2016, "Improving short term load forecast accuracy via combining sister forecasts," Energy, Elsevier, volume 98, issue C, pages 40-49, DOI: 10.1016/j.energy.2015.12.142.
• Olkhov, Victor, 2016, "On Economic Space notion," International Review of Financial Analysis, Elsevier, volume 47, issue C, pages 372-381, DOI: 10.1016/j.irfa.2016.01.001.
• Rivieccio, Giorgia & De Luca, Giovanni, 2016, "Copula function approaches for the analysis of serial and cross dependence in stock returns," Finance Research Letters, Elsevier, volume 17, issue C, pages 55-61, DOI: 10.1016/j.frl.2016.01.006.
• Bekiros, Stelios & Gupta, Rangan & Majumdar, Anandamayee, 2016, "Incorporating economic policy uncertainty in US equity premium models: A nonlinear predictability analysis," Finance Research Letters, Elsevier, volume 18, issue C, pages 291-296, DOI: 10.1016/j.frl.2016.01.012.
• Johnston, Craig M.T., 2016, "Global paper market forecasts to 2030 under future internet demand scenarios," Journal of Forest Economics, Elsevier, volume 25, issue C, pages 14-28, DOI: 10.1016/j.jfe.2016.07.003.
• Hsu, Po-Hsuan & Taylor, Mark P. & Wang, Zigan, 2016, "Technical trading: Is it still beating the foreign exchange market?," Journal of International Economics, Elsevier, volume 102, issue C, pages 188-208, DOI: 10.1016/j.jinteco.2016.03.012.
• Bohnert, Alexander & Gatzert, Nadine & Kolb, Andreas, 2016, "Assessing inflation risk in non-life insurance," Insurance: Mathematics and Economics, Elsevier, volume 66, issue C, pages 86-96, DOI: 10.1016/j.insmatheco.2015.11.003.
• Scholz, Michael & Sperlich, Stefan & Nielsen, Jens Perch, 2016, "Nonparametric long term prediction of stock returns with generated bond yields," Insurance: Mathematics and Economics, Elsevier, volume 69, issue C, pages 82-96, DOI: 10.1016/j.insmatheco.2016.04.007.
• Avanzi, Benjamin & Wong, Bernard & Yang, Xinda, 2016, "A micro-level claim count model with overdispersion and reporting delays," Insurance: Mathematics and Economics, Elsevier, volume 71, issue C, pages 1-14, DOI: 10.1016/j.insmatheco.2016.07.002.
• Marczak, Martyna & Proietti, Tommaso, 2016, "Outlier detection in structural time series models: The indicator saturation approach," International Journal of Forecasting, Elsevier, volume 32, issue 1, pages 180-202, DOI: 10.1016/j.ijforecast.2015.04.005.
• Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016, "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, volume 32, issue 2, pages 283-292, DOI: 10.1016/j.ijforecast.2015.06.006.
• Lucas, André & Zhang, Xin, 2016, "Score-driven exponentially weighted moving averages and Value-at-Risk forecasting," International Journal of Forecasting, Elsevier, volume 32, issue 2, pages 293-302, DOI: 10.1016/j.ijforecast.2015.09.003.
• Jansen, W. Jos & Jin, Xiaowen & de Winter, Jasper M., 2016, "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," International Journal of Forecasting, Elsevier, volume 32, issue 2, pages 411-436, DOI: 10.1016/j.ijforecast.2015.05.008.
• Ericsson, Neil R., 2016, "Eliciting GDP forecasts from the FOMC’s minutes around the financial crisis," International Journal of Forecasting, Elsevier, volume 32, issue 2, pages 571-583, DOI: 10.1016/j.ijforecast.2015.09.007.
• Maciejowska, Katarzyna & Nowotarski, Jakub, 2016, "A hybrid model for GEFCom2014 probabilistic electricity price forecasting," International Journal of Forecasting, Elsevier, volume 32, issue 3, pages 1051-1056, DOI: 10.1016/j.ijforecast.2015.11.008.
• Wang, Pu & Liu, Bidong & Hong, Tao, 2016, "Electric load forecasting with recency effect: A big data approach," International Journal of Forecasting, Elsevier, volume 32, issue 3, pages 585-597, DOI: 10.1016/j.ijforecast.2015.09.006.
• Exterkate, Peter & Groenen, Patrick J.F. & Heij, Christiaan & van Dijk, Dick, 2016, "Nonlinear forecasting with many predictors using kernel ridge regression," International Journal of Forecasting, Elsevier, volume 32, issue 3, pages 736-753, DOI: 10.1016/j.ijforecast.2015.11.017.
• Claeskens, Gerda & Magnus, Jan R. & Vasnev, Andrey L. & Wang, Wendun, 2016, "The forecast combination puzzle: A simple theoretical explanation," International Journal of Forecasting, Elsevier, volume 32, issue 3, pages 754-762, DOI: 10.1016/j.ijforecast.2015.12.005.
• Blasques, Francisco & Koopman, Siem Jan & Łasak, Katarzyna & Lucas, André, 2016, "In-sample confidence bands and out-of-sample forecast bands for time-varying parameters in observation-driven models," International Journal of Forecasting, Elsevier, volume 32, issue 3, pages 875-887, DOI: 10.1016/j.ijforecast.2015.11.018.
• Maciejowska, Katarzyna & Nowotarski, Jakub & Weron, Rafał, 2016, "Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging," International Journal of Forecasting, Elsevier, volume 32, issue 3, pages 957-965, DOI: 10.1016/j.ijforecast.2014.12.004.
• Liu, Weiling & Moench, Emanuel, 2016, "What predicts US recessions?," International Journal of Forecasting, Elsevier, volume 32, issue 4, pages 1138-1150, DOI: 10.1016/j.ijforecast.2016.02.007.
• Buncic, Daniel & Gisler, Katja I.M., 2016, "Global equity market volatility spillovers: A broader role for the United States," International Journal of Forecasting, Elsevier, volume 32, issue 4, pages 1317-1339, DOI: 10.1016/j.ijforecast.2016.05.001.
• Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016, "Nowcasting Turkish GDP and news decomposition," International Journal of Forecasting, Elsevier, volume 32, issue 4, pages 1369-1384, DOI: 10.1016/j.ijforecast.2016.07.001.
• Filipe, Sara Ferreira & Grammatikos, Theoharry & Michala, Dimitra, 2016, "Forecasting distress in European SME portfolios," Journal of Banking & Finance, Elsevier, volume 64, issue C, pages 112-135, DOI: 10.1016/j.jbankfin.2015.12.007.
• Wied, Dominik & Weiß, Gregor N.F. & Ziggel, Daniel, 2016, "Evaluating Value-at-Risk forecasts: A new set of multivariate backtests," Journal of Banking & Finance, Elsevier, volume 72, issue C, pages 121-132, DOI: 10.1016/j.jbankfin.2016.07.014.
• Krüger, Fabian & Nolte, Ingmar, 2016, "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, volume 72, issue S, pages 172-186, DOI: 10.1016/j.jbankfin.2015.05.007.
• Sorwar, Ghulam & Pappas, Vasileios & Pereira, John & Nurullah, Mohamed, 2016, "To debt or not to debt: Are Islamic banks less risky than conventional banks?," Journal of Economic Behavior & Organization, Elsevier, volume 132, issue S, pages 113-126, DOI: 10.1016/j.jebo.2016.10.012.
• Chang, Andrew C. & Hanson, Tyler J., 2016, "The accuracy of forecasts prepared for the Federal Open Market Committee," Journal of Economics and Business, Elsevier, volume 83, issue C, pages 23-43, DOI: 10.1016/j.jeconbus.2015.12.001.
• Koch, Nicolas & Grosjean, Godefroy & Fuss, Sabine & Edenhofer, Ottmar, 2016, "Politics matters: Regulatory events as catalysts for price formation under cap-and-trade," Journal of Environmental Economics and Management, Elsevier, volume 78, issue C, pages 121-139, DOI: 10.1016/j.jeem.2016.03.004.
• Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2016, "Ethanol and field crops: Is there a price connection?," Food Policy, Elsevier, volume 63, issue C, pages 53-61, DOI: 10.1016/j.foodpol.2016.06.010.
• Buncic, Daniel & Piras, Gion Donat, 2016, "Heterogeneous agents, the financial crisis and exchange rate predictability," Journal of International Money and Finance, Elsevier, volume 60, issue C, pages 313-359, DOI: 10.1016/j.jimonfin.2015.09.006.
• Byrne, Joseph P. & Korobilis, Dimitris & Ribeiro, Pinho J., 2016, "Exchange rate predictability in a changing world," Journal of International Money and Finance, Elsevier, volume 62, issue C, pages 1-24, DOI: 10.1016/j.jimonfin.2015.12.001.
• Abdymomunov, Azamat & Kang, Kyu Ho & Kim, Ki Jeong, 2016, "Can credit spreads help predict a yield curve?," Journal of International Money and Finance, Elsevier, volume 64, issue C, pages 39-61, DOI: 10.1016/j.jimonfin.2016.02.003.
• Kirschenmann, Karolin & Malinen, Tuomas & Nyberg, Henri, 2016, "The risk of financial crises: Is there a role for income inequality?," Journal of International Money and Finance, Elsevier, volume 68, issue C, pages 161-180, DOI: 10.1016/j.jimonfin.2016.07.010.
• Schreiber, Sven & Soldatenkova, Natalia, 2016, "Anticipating business-cycle turning points in real time using density forecasts from a VAR," Journal of Macroeconomics, Elsevier, volume 47, issue PB, pages 166-187, DOI: 10.1016/j.jmacro.2015.12.002.
• Lombardi, Marco J. & Ravazzolo, Francesco, 2016, "On the correlation between commodity and equity returns: Implications for portfolio allocation," Journal of Commodity Markets, Elsevier, volume 2, issue 1, pages 45-57, DOI: 10.1016/j.jcomm.2016.07.005.
• Lamprou, Dimitra, 2016, "Nowcasting GDP in Greece: The impact of data revisions and forecast origin on model selection and performance," The Journal of Economic Asymmetries, Elsevier, volume 14, issue PA, pages 93-102, DOI: 10.1016/j.jeca.2016.07.006.
• Cabrera Delgado, Jorge & Bonnel, Patrick, 2016, "Level of aggregation of zoning and temporal transferability of the gravity distribution model: The case of Lyon," Journal of Transport Geography, Elsevier, volume 51, issue C, pages 17-26, DOI: 10.1016/j.jtrangeo.2015.10.016.
• Espinosa, Maria & Gocht, Alexander & Heckelei, Thomas & Paloma, Sergio Gomez y, 2016, "Incorporating farm structural change in models assessing the Common Agricultural Policy: An application in the CAPRI farm type model," Journal of Policy Modeling, Elsevier, volume 38, issue 6, pages 1040-1059, DOI: 10.1016/j.jpolmod.2016.03.005.
• Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016, "A boosting approach to forecasting the volatility of gold-price fluctuations under flexible loss," Resources Policy, Elsevier, volume 47, issue C, pages 95-107, DOI: 10.1016/j.resourpol.2016.01.003.
• Balcilar, Mehmet & Gupta, Rangan & Pierdzioch, Christian, 2016, "Does uncertainty move the gold price? New evidence from a nonparametric causality-in-quantiles test," Resources Policy, Elsevier, volume 49, issue C, pages 74-80, DOI: 10.1016/j.resourpol.2016.04.004.
• Aron, Janine & Muellbauer, John, 2016, "“Modelling and forecasting mortgage delinquency and foreclosure in the UK.”," Journal of Urban Economics, Elsevier, volume 94, issue C, pages 32-53, DOI: 10.1016/j.jue.2016.03.005.
• Giannone, Domenico & Monti, Francesca & Reichlin, Lucrezia, 2016, "Exploiting the monthly data flow in structural forecasting," Journal of Monetary Economics, Elsevier, volume 84, issue C, pages 201-215, DOI: 10.1016/j.jmoneco.2016.10.011.
• Chen, Jian & Jiang, Fuwei & Li, Hongyi & Xu, Weidong, 2016, "Chinese stock market volatility and the role of U.S. economic variables," Pacific-Basin Finance Journal, Elsevier, volume 39, issue C, pages 70-83, DOI: 10.1016/j.pacfin.2016.05.013.
• Dai, Feng & Li, Pengpeng & Liang, Ling, 2016, "Long-term economic growth under environmental pressure: An optimal path," The Quarterly Review of Economics and Finance, Elsevier, volume 59, issue C, pages 15-24, DOI: 10.1016/j.qref.2015.03.008.
• Farmer, J. Doyne & Lafond, François, 2016, "How predictable is technological progress?," Research Policy, Elsevier, volume 45, issue 3, pages 647-665, DOI: 10.1016/j.respol.2015.11.001.
• Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2016, "Can commodity returns forecast Canadian sector stock returns?," International Review of Economics & Finance, Elsevier, volume 41, issue C, pages 172-188, DOI: 10.1016/j.iref.2015.08.013.
• Tsuchiya, Yoichi, 2016, "Directional analysis of fiscal sustainability: Revisiting Domar's debt sustainability condition," International Review of Economics & Finance, Elsevier, volume 41, issue C, pages 189-201, DOI: 10.1016/j.iref.2015.08.012.
• Chang, Kuang-Liang, 2016, "Does the return-state-varying relationship between risk and return matter in modeling the time series process of stock return?," International Review of Economics & Finance, Elsevier, volume 42, issue C, pages 72-87, DOI: 10.1016/j.iref.2015.10.018.
• Laurini, Márcio P. & Caldeira, João F., 2016, "A macro-finance term structure model with multivariate stochastic volatility," International Review of Economics & Finance, Elsevier, volume 44, issue C, pages 68-90, DOI: 10.1016/j.iref.2016.03.008.
• Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016, "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, volume 62, issue C, pages 42-50, DOI: 10.1016/j.socec.2016.03.004.
• Papapostolou, Nikos C. & Pouliasis, Panos K. & Nomikos, Nikos K. & Kyriakou, Ioannis, 2016, "Shipping investor sentiment and international stock return predictability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, volume 96, issue C, pages 81-94, DOI: 10.1016/j.tre.2016.10.006.
• Hilde C. Bjornland & Francesco Ravazzolo & Leif Anders Thorsrud, 2016, "Forecasting GDP with Global Components. This Time Is Different," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2016-26, May.
• Ceyda YERDELEN KAYGIN & Alper TAZEGUL & Hakan YAZARKAN, 2016, "Isletmelerin Finansal Basarili ve Basarisiz Olma Durumlarinin Veri Madenciligi ve Lojistik Regresyon Analizi Ile Tahmin Edilebilirligi," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, volume 16, issue 1, pages 147-159, DOI: 10.21121/eab.2016119960.
• Ghosh, Anisha & Julliard, Christian & Taylor, Alex, 2016, "An information based one-factor asset pricing model," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 118978, Apr.
• Bianchi, Daniele & Tamoni, Andrea, 2016, "The dynamics of expected returns: evidence from multi-scale time series modelling," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 118992, Mar.
• Delajara, Marcelo & Álvarez, Federico Hernández & Tirado, Abel Rodríguez, 2016, "Nowcasting Mexico’s short-term GDP growth in real-time: a factor model versus professional forecasters," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 123297, Oct.
• Cai, Xiaoming & Den Haan, Wouter J. & Pinder, Jonathan, 2016, "Predictable recoveries," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 65188, Apr.
• Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2016, "Volatility transmission between stock and exchange-rate markets: A connectedness analysis," Department of Economics Working Papers, University of Bath, Department of Economics, number 54/16.
• Guilherme Jonas Costa da Silva & Humberto Eduardo de Paula Martins & Henrique Dantas Neder, 2016, "Transport infrastructure investment and regional inequalities in Brazil: an Analysis of the impacts of the Growth Acceleration Program (PAC)," Brazilian Journal of Political Economy, Center of Political Economy, volume 36, issue 4, pages 840-863.
• Davide Delle Monache & Ivan Petrella & Fabrizio Venditti, 2016, "Common Faith or Parting Ways? A Time Varying Parameters Factor Analysis of Euro-Area Inflation," Advances in Econometrics, Emerald Group Publishing Limited, "Dynamic Factor Models", DOI: 10.1108/S0731-905320150000035013.
• Gerhard Rünstler, 2016, "On the Design of Data Sets for Forecasting with Dynamic Factor Models," Advances in Econometrics, Emerald Group Publishing Limited, "Dynamic Factor Models", DOI: 10.1108/S0731-905320150000035016.
• Eric Renault & Daniela Scidá, 2016, "Causality and Markovianity: Information Theoretic Measures," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Aman Ullah", DOI: 10.1108/S0731-905320160000036019.
• R. Kelley Pace & James P. LeSage, 2016, "Fast Simulated Maximum Likelihood Estimation of the Spatial Probit Model Capable of Handling Large Samples," Advances in Econometrics, Emerald Group Publishing Limited, "Spatial Econometrics: Qualitative and Limited Dependent Variables", DOI: 10.1108/S0731-905320160000037008.
• Santiago Gamba-Santamaria & Oscar Fernando Jaulin-Mendez & Luis Fernando Melo-Velandia & Carlos Andrés Quicazán-Moreno, 2016, "Comparison of methods for estimating the uncertainty of value at risk," Studies in Economics and Finance, Emerald Group Publishing Limited, volume 33, issue 4, pages 595-624, October, DOI: 10.1108/SEF-03-2016-0055.
• Yue, X-G. & Gao, R. & McAleer, M.J., 2016, "Prediction of Gas Concentration Based on the Opposite Degree Algorithm," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2016-22, Apr.
• Shovan Ray & A. Ganesh-Kumar & Sumana Chaudhuri, 2016, "Integrated Model of Computable General Equilibrium and Social Cost Benefit Analysis of an Indian Oil Refinery: Future Projections and Macroeconomic Effects," Working Papers, eSocialSciences, number id:11381, Sep.
• Gerda Claeskens & Jan Magnus & Andrey Vasnev & Wendun Wang, 2016, "The forecast combination puzzle: a simple theoretical explanation," Working Papers of Department of Decision Sciences and Information Management, Leuven, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven, number 532152, Feb.
• Alessandro Girardi & Christian Gayer & Andreas Reuter, 2016, "Replacing Judgment by Statistics: Constructing Consumer Confidence Indicators on the Basis of Data-driven Techniques," European Economy - Discussion Papers, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, number 034, Jul.
• Cosmin Octavian Cepoi & Filip Mihai Toma, 2016, "Estimating Probability of Informed Trading on the Bucharest Stock Exchange," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 66, issue 2, pages 140-160, April.
• Pablo M. Pincheira & Carlos A. Medel, 2016, "Forecasting with a Random Walk," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 66, issue 6, pages 539-564, December.
• Hana Dzmuranova, 2016, "Risk Management of Demand Deposits in a Low Interest Rate Environment," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2016/10, May, revised May 2016.
• Martin M. Andreasen & Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2016, "The Pruned State-Space System for Non-Linear DSGE Models: Theory and Empirical Applications," Working Papers, FEDEA, number 2016-07, Sep.
• Nikolay Gospodinov, 2016, "The role of commodity prices in forecasting U.S. core inflation," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2016-5, Feb.
• Patrick C. Higgins & Tao Zha & Karen Zhong, 2016, "Forecasting China's Economic Growth and Inflation," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2016-7, Jul.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016, "Large Vector Autoregressions with Stochastic Volatility and Flexible Priors," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1617, Jun.
• Hal Martin & Isaac Oduro & Francisca Richter & Apirl Hirsh Urban & Stephan D. Whitaker, 2016, "Predictive Modeling of Surveyed Property Conditions and Vacancy," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1637, Dec, DOI: 10.26509/frbc-wp-201637.
• Ayse Kabukcuoglu & Enrique Martínez García, 2016, "Inflation as a global phenomenon - some implications for policy analysis and forecasting," Globalization Institute Working Papers, Federal Reserve Bank of Dallas, number 261, Jan, DOI: 10.24149/gwp261.
• Kirstin Hubrich & Frauke Skudelny, 2016, "Forecast Combination for Euro Area Inflation - A Cure in Times of Crisis?," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-104, Aug, DOI: 10.17016/FEDS.2016.104.
• Hie Joo Ahn & James D. Hamilton, 2016, "Heterogeneity and Unemployment Dynamics," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-12, Feb, DOI: 10.17016/FEDS.2016.012r1.
• Benjamin K. Johannsen & Elmar Mertens, 2016, "A Time Series Model of Interest Rates With the Effective Lower Bound," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-033, Apr, DOI: 10.17016/FEDS.2016.033.
• Daniela Bragoli & Michele Modugno, 2016, "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-036, Apr, DOI: 10.17016/FEDS.2016.036.
• Michele Modugno & Bariş Soybilgen & M. Ege Yazgan, 2016, "Nowcasting Turkish GDP and News Decomposition," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-044, May, DOI: 10.17016/FEDS.2016.044.
• Hie Joo Ahn, 2016, "The Role of Observed and Unobserved Heterogeneity in the Duration of Unemployment Spells," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-063r1, Jul, revised 25 Mar 2022, DOI: 10.17016/FEDS.2016.063r1.
• Neil R. Ericsson, 2016, "Economic Forecasting in Theory and Practice : An Interview with David F. Hendry," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1184, Nov, DOI: 10.17016/IFDP.2016.1184.
• Scott Brave & R. Andrew Butters & Alejandro Justiniano, 2016, "Forecasting Economic Activity with Mixed Frequency Bayesian VARs," Working Paper Series, Federal Reserve Bank of Chicago, number WP-2016-5, May.
• Sean P. Grover & Kevin L. Kliesen & Michael W. McCracken, 2016, "A Macroeconomic News Index for Constructing Nowcasts of U.S. Real Gross Domestic Product Growth," Review, Federal Reserve Bank of St. Louis, volume 98, issue 4, pages 277-296, DOI: 10.20955/r.2016.277-296.
• Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2016, "Copula--based Specification of vector MEMs," Econometrics Working Papers Archive, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", number 2016_04, Apr.
• Mueller, Georg P., 2016, "On the use of interview data for the microsimulation of ideological conflicts : an analysis of the political cleavages of the European left," FSES Working Papers, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland, number 471, Jul.
• Michiel van Dijk & Maryia Mandryk & Marc Gramberger & David Laborde & Lindsay Shutes & Elke Stehfest & Hugo Valin & Katharina Zellmer, 2016, "Scenarios to explore global food security up to 2050: Development process, storylines and quantification of drivers," FOODSECURE Working papers, LEI Wageningen UR, number 38, Jan.
• Tero Haahtela, 2016, "Real Option Approach For Comparing Lifetime Costs Of Alternative Diabetes Type I Treatment Methods," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), volume 21, issue 2, pages 71-91, November.
• Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
• Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 20, pages 1-26, February.
• Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Andrei Kaukin & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
• Alexandra Bozhechkova & Alexander Knobel & Sergey Tsukhlo & Elena Grishina & Pavel Trunin & Alexander Firanchuk & Olga Berezinskaya, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 22, pages 1-27, April.
• Mikhail Khromov & Yuri Bobylev & Sergey Tsukhlo & E. Avraamova & D. Loginov & O. Rasenko & Ekaterina Ponomareva & Sergey Sudakov, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 23, pages 1-27, April.
• Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Averkiev Vladimir & Shishkina Ekaterina & Florinskaya Yulia & Mkrtchian N. & S, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
• Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
• Drobyshevsky Sergey & Kazakova Maria & Tsukhlo Sergey & Lyashok Viktor, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 27, pages 1-24, May.
• Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Nat, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
• Bozhechkova Alexandra & Trunin Pavel & Grishina Elena & Khromov Mikhail & Tsukhlo Sergey & Deryugin Alexander & Burdyak Alexandra, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 31, pages 1-27, July.
• Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 32, pages 1-27, September.
• Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Averkiev Vladimir & Vedev Alexey & Gurevich Vladimir, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 33, pages 1-19, September.
• Idrisov Georgy & Avraamova Elena & Khromov Mikhail & Tsukhlo Sergey & Shagaida Natalia & Kaukin Andrey & Gurevich Vladimir & Loginov Dmitry & Pavlov Pavel, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 35, pages 1-23, November.
• Khromov Mikhail & Tsukhlo Sergey & Florinskaya Yulia & Mkrtchian N. & Mamedov Arseny & Fomina Elena & Gurevich Vladimir, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 37, pages 1-20, December.
• Knobel Alexander & Firanchuk Alexander & Kaukin Andrey & Zubarevich Natalia & Gurevich Vladimir & Miller Evgenia, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 38, pages 1-23, December.
• Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
• Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
• Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
• Alexandra Bozhechkova & Alexander Knobel & Sergey Tsukhlo & Elena Grishina & Pavel Trunin & Alexander Firanchuk & Olga Berezinskaya, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 22, pages 1-27, March.
• Mikhail Khromov & Yuri Bobylev & Sergey Tsukhlo & E. Avraamova & D. Loginov & O. Rasenko & Ekaterina Ponomareva & Sergey Sudakov, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 23, pages 1-27, March.
• Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shishkina Ekaterina & Uzun Vasily & Flor, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
• Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
• Drobyshevsky Sergey & Kazakova Maria & Idrisov Georgy & Tsukhlo Sergey & Lyashok Viktor, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 27, pages 1-24, May.
• Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Natalia & Kiyutsevskaya Ann, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
• Bozhechkova Alexandra & Trunin Pavel & Grishina Elena & Khromov Mikhail & Tsukhlo Sergey & Deryugin Alexander & Burdyak Alexandra, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 31, pages 1-27, July.
• Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 32, pages 1-27, September.
• Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Averkiev Vladimir & Vedev Alexey & Gurevich Vladimir, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 33, pages 1-19, September.
• Idrisov Georgy & Avraamova Elena & Tsukhlo Sergey & Shagaida Natalia & Kaukin Andrey & Gurevich Vladimir & Loginov Dmitry & Pavlov Pavel, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 35, pages 1-23, November.
• Khromov Mikhail & Tsukhlo Sergey & Florinskaya Yulia & Mkrtchyan Nikita & Mamedov Arseny & Fomina Elena & Gurevich Vladimir, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 37, pages 1-20, December.
• Knobel Alexander & Firanchuk Alexander & Kaukin Andrey & Zubarevich Natalia & Gurevich Vladimir & Miller Evgenia, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 38, pages 1-23, December.
• Idrisov Georgy & Kaukin Andrey & Ponomarev Yuri, 2016, "Industrial production dynamics in particular sectors of Russian industry," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2016-253, revised 2016.
• Tsukhlo Sergey, 2016, "Russian industrial enterprises in 2015 (on the basis of business surveys)," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2016-254, revised 2016.
• Francesco Audrino & Yujia Hu, 2016, "Volatility Forecasting: Downside Risk, Jumps and Leverage Effect," Econometrics, MDPI, volume 4, issue 1, pages 1-24, February.
• Bartosz Uniejewski & Jakub Nowotarski & Rafał Weron, 2016, "Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting," Energies, MDPI, volume 9, issue 8, pages 1-22, August.
• David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2016, "Nonlinear Time Series and Neural-Network Models of Exchange Rates between the US Dollar and Major Currencies," Risks, MDPI, volume 4, issue 1, pages 1-14, March.
• Bruno Lanz & Simon Dietz & Tim Swanson, 2016, "Global Population Growth, Technology and Malthusian Constraints: A Quantitative Growth Theoretic Perspective," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 04-2016, May, revised 18 May 2016.
• Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016, "Bayesian Compressed Vector Autoregressions," Working Papers, Business School - Economics, University of Glasgow, number 2016_09, Mar.
• Yuxuan Huang, 2016, "Forecasting the USD/CNY Exchange Rate under Different Policy Regimes," Working Papers, The George Washington University, The Center for Economic Research, number 2016-001, Jan.
• Ulrich Heilemann & Susanne Schnorr-Bäcker, 2016, "Could The Start Of The German Recession 2008-2009 Have Been Foreseen? Evidence From Real-Time Data," Working Papers, The George Washington University, The Center for Economic Research, number 2016-003, Feb.
• Herman O. Stekler & Yongchen Zhao, 2016, "Predicting U.S. Business Cycle Turning Points Using Real-Time Diffusion Indexes Based on a Large Data Set," Working Papers, The George Washington University, The Center for Economic Research, number 2016-006, Sep.
• Neil R. Ericsson, 2016, "Economic Forecasting in Theory and Practice: An Interview with David F. Hendry," Working Papers, The George Washington University, The Center for Economic Research, number 2016-012, Nov.
• Constantin Burgi, 2016, "What Do We Lose When We Average Expectations?," Working Papers, The George Washington University, The Center for Economic Research, number 2016-013.
• Zeineb Affes & Rania Hentati-Kaffel, 2016, "Predicting US banks bankruptcy: logit versus Canonical Discriminant analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number halshs-01281948, Feb.
• Denisa Banulescu-Radu & Christophe Hurlin & Bertrand Candelon & Sébastien Laurent, 2016, "Do We Need High Frequency Data to Forecast Variances?," Post-Print, HAL, number hal-01448237, Dec, DOI: 10.15609/annaeconstat2009.123-124.0.
• Serge Darolles & Christian Francq & Sébastien Laurent, 2016, "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print, HAL, number hal-04590533, Dec.
• Jorge Cabrera Delgado & Patrick Bonnel, 2016, "Level of aggregation of zoning and temporal transferability of the gravity distribution model: The case of Lyon," Post-Print, HAL, number halshs-01328761, Feb, DOI: 10.1016/j.jtrangeo.2015.10.016.
• Rosnan Chotard & Michel Dacorogna & Marie Kratz, 2016, "Risk Measure Estimates in Quiet and Turbulent Times:An Empirical Study," Working Papers, HAL, number hal-01424285, Nov.
• Rachidi Kotchoni & Dalibor Stevanovic, 2016, "Forecasting U.S. Recessions and Economic Activity," Working Papers, HAL, number hal-04141569.
• Kruse, Robinson & Leschinski, Christian & Will, Michael, 2016, "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-571, Feb.
• Vanella, Patrizio, 2016, "The Total Fertility Rate in Germany until 2040 - A Stochastic Principal Components Projection based on Age-specific Fertility Rates," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-579, Aug.
• Tine Hufkens & Gerlinde Verbist, 2016, "The distributive effects of work-family life policies in European welfare states," ImPRovE Working Papers, Herman Deleeck Centre for Social Policy, University of Antwerp, number 16/09, Mar.
• Mossfeldt, Marcus & Stockhammar, Pär, 2016, "Forecasting Goods and Services Inflation in Sweden," Working Papers, National Institute of Economic Research, number 146, Oct.
• Andersson, Michael K. & Aranki, Ted & Reslow, André, 2016, "Adjusting for Information Content when Comparing Forecast Performance," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 328, Aug.
• Alexander Yu. Apokin & Irina B. Ipatova, 2016, "Structural Breaks in Potential GDP Of Three Major Economies: Just Impaired Credit or the “New Normal”?," HSE Working papers, National Research University Higher School of Economics, number WP BRP 142/EC/2016.
• Sergey Egiev, 2016, "On Persistence of Uncertainty Shocks," HSE Working papers, National Research University Higher School of Economics, number WP BRP 144/EC/2016.
• Fahima Charef & Fethi Ayachi, 2016, "A Comparison between Neural Networks and GARCH Models in Exchange Rate Forecasting," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, volume 6, issue 1, pages 94-99, January.
• Fahima Charef & Fethi Ayachi, 2016, "A Comparison between Neural Networks and GARCH Models in Exchange Rate Forecasting," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, volume 6, issue 1, pages 244-253, January.
• John Dairo Ramirez Aristizabal & Eduardo Alexander Duque Grisales, 2016, "Design Of A Investment Portfolio Using Non-Linear Programming: Case Of Colombia 2013-2014, Diseno De Un Portafolio De Inversion A Partir De Un Modelo De Programacion No Lineal: Caso Colombia 2013-2014," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, volume 9, issue 2, pages 31-47.
• Maciej Lis & Agata Miazga & Michal Ramsza, 2016, "Dynamiczne wlasnosci miar ubostwa energetycznego," IBS Research Reports, Instytut Badan Strukturalnych, number 01/2016, Jan.
• Pierre L. Siklos, 2016, "Forecast Disagreement and the Inflation Outlook: New International Evidence," IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan, number 16-E-03, Mar.
• Mr. Francesco Grigoli & Mr. Mario Mansilla & Martín Saldías, 2016, "Macro-Financial Linkages and Heterogeneous Non-Performing Loans Projections: An Application to Ecuador," IMF Working Papers, International Monetary Fund, number 2016/236, Dec.
• Jörg Breitung & Sven Schreiber, 2016, "Assessing Causality and Delay within a Frequency Band," IMK Working Paper, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute, number 165-2016.
• Guillermo Benavides Perales, 2016, "Exchange Rate Risk Premium: An Analysis of its Determinants for the Mexican Peso-USD," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 11, issue 1, pages 55-77, Enero-Jun.
• Shovan Ray & A. Ganesh Kumar & Sumana Chaudhuri, 2016, "Integrated model of computable general equilibrium and social cost benefit analysis of an Indian oil refinery: Future projections and macroeconomic effects," Indira Gandhi Institute of Development Research, Mumbai Working Papers, Indira Gandhi Institute of Development Research, Mumbai, India, number 2016-024, Jul.
• Reto Stauffer & Jakob W. Messner & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2016, "Spatio-Temporal Precipitation Climatology over Complex Terrain Using a Censored Additive Regression Model," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-07, Apr.
• Markus Dabernig & Georg J. Mayr & Jakob W. Messner & Achim Zeileis, 2016, "Spatial Ensemble Post-Processing with Standardized Anomalies," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-08, Apr.
• Achim Zeileis & Christoph Leitner & Kurt Hornik, 2016, "Predictive Bookmaker Consensus Model for the UEFA Euro 2016," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-15, May.
• Reto Stauffer & Jakob W. Messner & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2016, "Ensemble Post-Processing of Daily Precipitation Sums over Complex Terrain Using Censored High-Resolution Standardized Anomalies," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-21, Jul.
• Manuel Gebetsberger & Jakob W. Messner & Georg J. Mayr & Achim Zeileis, 2016, "Tricks for improving non-homogeneous regression for probabilistic precipitation forecasts: Perfect predictions, heavy tails, and link functions," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-28, Oct.
• Markus Dabernig & Georg J. Mayr & Jakob W. Messner & Achim Zeileis, 2016, "Simultaneous Ensemble Post-Processing for Multiple Lead Times with Standardized Anomalies," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-31, Oct.
• Rangan Gupta & Shawkat Hammoudeh & Mampho P. Modise & Duc Khuong Nguyen, 2013, "Can Economic Uncertainty, Financial Stress and Consumer Sentiments Predict U.S. Equity Premium?," Working Papers, Department of Research, Ipag Business School, number 2013-20, Jan.
• Bangzhu Zhu & Xuetao Shi & Julien Chevallier & Ping Wang & Yi-Ming Wei, 2016, "An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting," Working Papers, Department of Research, Ipag Business School, number 2016-004, Jan.
• Bruno Lanz & Simon Dietz & Tim Swanson, 2016, "Global population growth, technology and Malthusian constraints: A quantitative growth theoretic perspective," IRENE Working Papers, IRENE Institute of Economic Research, number 16-05, Oct.
• Antonio Cappiello, 2016, "Decision Making And Saint Petersburg Paradox: Focusing On Heuristic Parameters, Considering The Non-Ergodic Context And The Gambling Risks," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, volume 70, issue 4, pages 147-158, October-D.
• Raul Ramos, 2016, "Gravity models: A tool for migration analysis," IZA World of Labor, Institute of Labor Economics (IZA), pages 239-239, February.
• IKM Mokhtarul Wadud & Huson Joher Ali Ahmed, 2016, "Oil price volatility, investment and sectoral responses: The Thai experience," Journal of Developing Areas, Tennessee State University, College of Business, volume 50, issue 3, pages 357-379, July-Sept.
• Isaac Nwaogwugwu & Olaniyi Evans, 2016, "A Sectoral Analysis Of Fiscal And Monetary Actions In Nigeria," Journal of Developing Areas, Tennessee State University, College of Business, volume 50, issue 4, pages 211-229, October-D.