Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting

2017

• Mogliani, Matteo & Darné, Olivier & Pluyaud, Bertrand, 2017, "The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey," Economic Modelling, Elsevier, volume 64, issue C, pages 26-39, DOI: 10.1016/j.econmod.2017.03.003.
• Doumpos, Michael & Hasan, Iftekhar & Pasiouras, Fotios, 2017, "Bank overall financial strength: Islamic versus conventional banks," Economic Modelling, Elsevier, volume 64, issue C, pages 513-523, DOI: 10.1016/j.econmod.2017.03.026.
• Jiang, Yu & Guo, Yongji & Zhang, Yihao, 2017, "Forecasting China's GDP growth using dynamic factors and mixed-frequency data," Economic Modelling, Elsevier, volume 66, issue C, pages 132-138, DOI: 10.1016/j.econmod.2017.06.005.
• Pop, Raluca-Elena, 2017, "A small-scale DSGE-VAR model for the Romanian economy," Economic Modelling, Elsevier, volume 67, issue C, pages 1-9, DOI: 10.1016/j.econmod.2016.07.011.
• Siliverstovs, Boriss, 2017, "Dissecting models' forecasting performance," Economic Modelling, Elsevier, volume 67, issue C, pages 294-299, DOI: 10.1016/j.econmod.2017.01.008.
• Zhang, Heng-Guo & Su, Chi-Wei & Song, Yan & Qiu, Shuqi & Xiao, Ran & Su, Fei, 2017, "Calculating Value-at-Risk for high-dimensional time series using a nonlinear random mapping model," Economic Modelling, Elsevier, volume 67, issue C, pages 355-367, DOI: 10.1016/j.econmod.2017.02.014.
• Chen, Cathy W.S. & Wang, Zona & Sriboonchitta, Songsak & Lee, Sangyeol, 2017, "Pair trading based on quantile forecasting of smooth transition GARCH models," The North American Journal of Economics and Finance, Elsevier, volume 39, issue C, pages 38-55, DOI: 10.1016/j.najef.2016.10.015.
• Li, Leon, 2017, "Testing and comparing the performance of dynamic variance and correlation models in value-at-risk estimation," The North American Journal of Economics and Finance, Elsevier, volume 40, issue C, pages 116-135, DOI: 10.1016/j.najef.2017.02.006.
• Jung, Alexander, 2017, "Forecasting broad money velocity," The North American Journal of Economics and Finance, Elsevier, volume 42, issue C, pages 421-432, DOI: 10.1016/j.najef.2017.08.005.
• Ng, Kok Haur & Peiris, Shelton & Chan, Jennifer So-kuen & Allen, David & Ng, Kooi Huat, 2017, "Efficient modelling and forecasting with range based volatility models and its application," The North American Journal of Economics and Finance, Elsevier, volume 42, issue C, pages 448-460, DOI: 10.1016/j.najef.2017.08.009.
• Ñíguez, Trino-Manuel & Perote, Javier, 2017, "Moments expansion densities for quantifying financial risk," The North American Journal of Economics and Finance, Elsevier, volume 42, issue C, pages 53-69, DOI: 10.1016/j.najef.2017.06.002.
• Xie, Tian, 2017, "Heteroscedasticity-robust model screening: A useful toolkit for model averaging in big data analytics," Economics Letters, Elsevier, volume 151, issue C, pages 119-122, DOI: 10.1016/j.econlet.2016.12.019.
• Bürgi, Constantin, 2017, "Bias, rationality and asymmetric loss functions," Economics Letters, Elsevier, volume 154, issue C, pages 113-116, DOI: 10.1016/j.econlet.2017.03.002.
• Guérin, Pierre & Leiva-Leon, Danilo, 2017, "Model averaging in Markov-switching models: Predicting national recessions with regional data," Economics Letters, Elsevier, volume 157, issue C, pages 45-49, DOI: 10.1016/j.econlet.2017.05.027.
• Fosten, Jack, 2017, "Confidence intervals in regressions with estimated factors and idiosyncratic components," Economics Letters, Elsevier, volume 157, issue C, pages 71-74, DOI: 10.1016/j.econlet.2017.05.034.
• Zhang, Keyi & Gençay, Ramazan & Ege Yazgan, M., 2017, "Application of wavelet decomposition in time-series forecasting," Economics Letters, Elsevier, volume 158, issue C, pages 41-46, DOI: 10.1016/j.econlet.2017.06.010.
• Sensoy, Ahmet & Fabozzi, Frank J. & Eraslan, Veysel, 2017, "Predictability dynamics of emerging sovereign CDS markets," Economics Letters, Elsevier, volume 161, issue C, pages 5-9, DOI: 10.1016/j.econlet.2017.09.015.
• Galvão, Ana Beatriz, 2017, "Data revisions and DSGE models," Journal of Econometrics, Elsevier, volume 196, issue 1, pages 215-232, DOI: 10.1016/j.jeconom.2016.09.006.
• Inoue, Atsushi & Jin, Lu & Rossi, Barbara, 2017, "Rolling window selection for out-of-sample forecasting with time-varying parameters," Journal of Econometrics, Elsevier, volume 196, issue 1, pages 55-67, DOI: 10.1016/j.jeconom.2016.03.006.
• Tu, Yundong & Yi, Yanping, 2017, "Forecasting cointegrated nonstationary time series with time-varying variance," Journal of Econometrics, Elsevier, volume 196, issue 1, pages 83-98, DOI: 10.1016/j.jeconom.2016.09.012.
• Engle, Robert & Roussellet, Guillaume & Siriwardane, Emil, 2017, "Scenario generation for long run interest rate risk assessment," Journal of Econometrics, Elsevier, volume 201, issue 2, pages 333-347, DOI: 10.1016/j.jeconom.2017.08.012.
• Amador-Torres, J. Sebastián, 2017, "Finance-neutral potential output: An evaluation in an emerging market monetary policy context," Economic Systems, Elsevier, volume 41, issue 3, pages 389-407, DOI: 10.1016/j.ecosys.2016.09.003.
• Roesel, Felix, 2017, "The causal effect of wrong-hand drive vehicles on road safety," Economics of Transportation, Elsevier, volume 11, issue , pages 15-22, DOI: 10.1016/j.ecotra.2017.10.002.
• Huber, Peter & Oberhofer, Harald & Pfaffermayr, Michael, 2017, "Who creates jobs? Econometric modeling and evidence for Austrian firm level data," European Economic Review, Elsevier, volume 91, issue C, pages 57-71, DOI: 10.1016/j.euroecorev.2016.09.008.
• Meinen, Philipp & Roehe, Oke, 2017, "On measuring uncertainty and its impact on investment: Cross-country evidence from the euro area," European Economic Review, Elsevier, volume 92, issue C, pages 161-179, DOI: 10.1016/j.euroecorev.2016.12.002.
• Harris, Richard D.F. & Stoja, Evarist & Tan, Linzhi, 2017, "The dynamic Black–Litterman approach to asset allocation," European Journal of Operational Research, Elsevier, volume 259, issue 3, pages 1085-1096, DOI: 10.1016/j.ejor.2016.11.045.
• Athanasopoulos, George & Hyndman, Rob J. & Kourentzes, Nikolaos & Petropoulos, Fotios, 2017, "Forecasting with temporal hierarchies," European Journal of Operational Research, Elsevier, volume 262, issue 1, pages 60-74, DOI: 10.1016/j.ejor.2017.02.046.
• Guarin, Alexander & Lozano, Ignacio, 2017, "Credit funding and banking fragility: A forecasting model for emerging economies," Emerging Markets Review, Elsevier, volume 32, issue C, pages 168-189, DOI: 10.1016/j.ememar.2017.06.004.
• Cerrato, Mario & Crosby, John & Kim, Minjoo & Zhao, Yang, 2017, "Relation between higher order comoments and dependence structure of equity portfolio," Journal of Empirical Finance, Elsevier, volume 40, issue C, pages 101-120, DOI: 10.1016/j.jempfin.2016.11.007.
• Nonejad, Nima, 2017, "Forecasting aggregate stock market volatility using financial and macroeconomic predictors: Which models forecast best, when and why?," Journal of Empirical Finance, Elsevier, volume 42, issue C, pages 131-154, DOI: 10.1016/j.jempfin.2017.03.003.
• Fries, Christian P. & Nigbur, Tobias & Seeger, Norman, 2017, "Displaced relative changes in historical simulation: Application to risk measures of interest rates with phases of negative rates," Journal of Empirical Finance, Elsevier, volume 42, issue C, pages 175-198, DOI: 10.1016/j.jempfin.2017.03.004.
• Anatolyev, Stanislav & Gospodinov, Nikolay & Jamali, Ibrahim & Liu, Xiaochun, 2017, "Foreign exchange predictability and the carry trade: A decomposition approach," Journal of Empirical Finance, Elsevier, volume 42, issue C, pages 199-211, DOI: 10.1016/j.jempfin.2017.03.005.
• Han, Xing & Li, Youwei, 2017, "Can investor sentiment be a momentum time-series predictor? Evidence from China," Journal of Empirical Finance, Elsevier, volume 42, issue C, pages 212-239, DOI: 10.1016/j.jempfin.2017.04.001.
• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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