Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting

2015

• Ekaterini Panopoulou & Theologos Pantelidis & Spyridon Vrontos, 2015, "Hedge fund predictability and optimal asset allocation," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 3105383, Nov.
• Dana Kloudova, 2015, "Estimating Output Gap and Potential Output for Russia and Its Usefulness by Forecasting Inflation," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, volume 4, issue 1, pages 45-59, March.
• Michał Bernardelli, 2015, "Cheater detection in Real Time Bidding system – panel approach," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 11-24.
• Piotr Karp, 2015, "Asymetryczny wpływ zmian kursu walutowego na gospodarkę Polski," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 6, pages 29-49.
• Bernhard O. Ishioro, 2015, "Intertemporal Optimization Of The Consumption Of Petroleum Stock: Empirical Evidence From Nigeria," Journal of Academic Research in Economics, Spiru Haret University, Faculty of Accounting and Financial Management Constanta, volume 7, issue 2 (July), pages 232-255.
• Mordecai Kurz & Maurizio Motolese & Giulia Piccillo & Howei Wu, 2015, "Monetary Policy with Diverse Private Expectations," Discussion Papers, Stanford Institute for Economic Policy Research, number 15-004, Mar.
• Alexandros M. Goulielmos, 2015, "The Multi-faceted Character of Risk in Maritime Freight Markets (Panamax) 1996-2012," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, volume 65, issue 1-2, pages 67-86, January-M.
• MeiChi Huang & Tzu-Chien Wang, 2015, "Housing-bubble vulnerability and diversification opportunities during housing boom–bust cycles: evidence from decomposition of asset price returns," The Annals of Regional Science, Springer;Western Regional Science Association, volume 54, issue 2, pages 605-637, March, DOI: 10.1007/s00168-015-0669-x.
• Xiaofeng Cao & Ostap Okhrin & Martin Odening & Matthias Ritter, 2015, "Modelling spatio-temporal variability of temperature," Computational Statistics, Springer, volume 30, issue 3, pages 745-766, September, DOI: 10.1007/s00180-015-0561-2.
• Jakub Nowotarski & Rafał Weron, 2015, "Computing electricity spot price prediction intervals using quantile regression and forecast averaging," Computational Statistics, Springer, volume 30, issue 3, pages 791-803, September, DOI: 10.1007/s00180-014-0523-0.
• Katarzyna Maciejowska & Rafał Weron, 2015, "Forecasting of daily electricity prices with factor models: utilizing intra-day and inter-zone relationships," Computational Statistics, Springer, volume 30, issue 3, pages 805-819, September, DOI: 10.1007/s00180-014-0531-0.
• Shiyi Chen & Kiho Jeong & Wolfgang Härdle, 2015, "Recurrent support vector regression for a non-linear ARMA model with applications to forecasting financial returns," Computational Statistics, Springer, volume 30, issue 3, pages 821-843, September, DOI: 10.1007/s00180-014-0543-9.
• Zongwu Cai & Jiancheng Jiang & Jingshuang Zhang & Xibin Zhang, 2015, "A new semiparametric test for superior predictive ability," Empirical Economics, Springer, volume 48, issue 1, pages 389-405, February, DOI: 10.1007/s00181-014-0887-6.
• Nan Cai & Zongwu Cai & Ying Fang & Qiuhua Xu, 2015, "Forecasting major Asian exchange rates using a new semiparametric STAR model," Empirical Economics, Springer, volume 48, issue 1, pages 407-426, February, DOI: 10.1007/s00181-014-0888-5.
• Harun Özkan & M. Yazgan, 2015, "Is forecasting inflation easier under inflation targeting?," Empirical Economics, Springer, volume 48, issue 2, pages 609-626, March, DOI: 10.1007/s00181-013-0793-3.
• Geoff Kenny & Thomas Kostka & Federico Masera, 2015, "Density characteristics and density forecast performance: a panel analysis," Empirical Economics, Springer, volume 48, issue 3, pages 1203-1231, May, DOI: 10.1007/s00181-014-0815-9.
• Tommaso Proietti & Stefano Grassi, 2015, "Stochastic trends and seasonality in economic time series: new evidence from Bayesian stochastic model specification search," Empirical Economics, Springer, volume 48, issue 3, pages 983-1011, May, DOI: 10.1007/s00181-014-0821-y.
• Michael Funke & Aaron Mehrotra & Hao Yu, 2015, "Tracking Chinese CPI inflation in real time," Empirical Economics, Springer, volume 48, issue 4, pages 1619-1641, June, DOI: 10.1007/s00181-014-0837-3.
• Robert Kunst & Philip Franses, 2015, "Asymmetric time aggregation and its potential benefits for forecasting annual data," Empirical Economics, Springer, volume 49, issue 1, pages 363-387, August, DOI: 10.1007/s00181-014-0864-0.
• Michael Fertig & Martin Kahanec, 2015, "Projections of potential flows to the enlarging EU from Ukraine, Croatia and other Eastern neighbors," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), volume 4, issue 1, pages 1-27, December, DOI: 10.1186/s40176-015-0029-8.
• Naresh Bansal & Jack Strauss & Alireza Nasseh, 2015, "Can we consistently forecast a firm’s earnings? Using combination forecast methods to predict the EPS of Dow firms," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 39, issue 1, pages 1-22, January, DOI: 10.1007/s12197-012-9234-y.
• Kang, Kyu Ho, 2015, "The predictive density simulation of the yield curve with a zero lower bound," Journal of Empirical Finance, Elsevier, volume 33, issue C, pages 51-66, DOI: 10.1016/j.jempfin.2015.06.002.
• Wu, Feng & Myers, Robert J. & Guan, Zhengfei & Wang, Zhiguang, 2015, "Risk-adjusted implied volatility and its performance in forecasting realized volatility in corn futures prices," Journal of Empirical Finance, Elsevier, volume 34, issue C, pages 260-274, DOI: 10.1016/j.jempfin.2015.07.003.
• Nolte, Ingmar & Xu, Qi, 2015, "The economic value of volatility timing with realized jumps," Journal of Empirical Finance, Elsevier, volume 34, issue C, pages 45-59, DOI: 10.1016/j.jempfin.2015.03.019.
• He, Ling T. & Casey, K.M., 2015, "Forecasting ability of the investor sentiment endurance index: The case of oil service stock returns and crude oil prices," Energy Economics, Elsevier, volume 47, issue C, pages 121-128, DOI: 10.1016/j.eneco.2014.11.005.
• Paraschiv, Florentina & Fleten, Stein-Erik & Schürle, Michael, 2015, "A spot-forward model for electricity prices with regime shifts," Energy Economics, Elsevier, volume 47, issue C, pages 142-153, DOI: 10.1016/j.eneco.2014.11.003.
• Pringles, Rolando & Olsina, Fernando & Garcés, Francisco, 2015, "Real option valuation of power transmission investments by stochastic simulation," Energy Economics, Elsevier, volume 47, issue C, pages 215-226, DOI: 10.1016/j.eneco.2014.11.011.
• Castelli, Mauro & Vanneschi, Leonardo & De Felice, Matteo, 2015, "Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case," Energy Economics, Elsevier, volume 47, issue C, pages 37-41, DOI: 10.1016/j.eneco.2014.10.009.
• Ziel, Florian & Steinert, Rick & Husmann, Sven, 2015, "Efficient modeling and forecasting of electricity spot prices," Energy Economics, Elsevier, volume 47, issue C, pages 98-111, DOI: 10.1016/j.eneco.2014.10.012.
• Weron, Rafał & Zator, Michał, 2015, "A note on using the Hodrick–Prescott filter in electricity markets," Energy Economics, Elsevier, volume 48, issue C, pages 1-6, DOI: 10.1016/j.eneco.2014.11.014.
• Liu, Li & Ma, Feng & Wang, Yudong, 2015, "Forecasting excess stock returns with crude oil market data," Energy Economics, Elsevier, volume 48, issue C, pages 316-324, DOI: 10.1016/j.eneco.2014.12.006.
• Uritskaya, Olga Y. & Uritsky, Vadim M., 2015, "Predictability of price movements in deregulated electricity markets," Energy Economics, Elsevier, volume 49, issue C, pages 72-81, DOI: 10.1016/j.eneco.2015.01.012.
• Raviv, Eran & Bouwman, Kees E. & van Dijk, Dick, 2015, "Forecasting day-ahead electricity prices: Utilizing hourly prices," Energy Economics, Elsevier, volume 50, issue C, pages 227-239, DOI: 10.1016/j.eneco.2015.05.014.
• Sundt, Swantje & Rehdanz, Katrin, 2015, "Consumers' willingness to pay for green electricity: A meta-analysis of the literature," Energy Economics, Elsevier, volume 51, issue C, pages 1-8, DOI: 10.1016/j.eneco.2015.06.005.
• Ziel, Florian & Steinert, Rick & Husmann, Sven, 2015, "Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity markets," Energy Economics, Elsevier, volume 51, issue C, pages 430-444, DOI: 10.1016/j.eneco.2015.08.005.
• Wang, Yudong & Liu, Li & Diao, Xundi & Wu, Chongfeng, 2015, "Forecasting the real prices of crude oil under economic and statistical constraints," Energy Economics, Elsevier, volume 51, issue C, pages 599-608, DOI: 10.1016/j.eneco.2015.09.003.
• Youssef, Manel & Belkacem, Lotfi & Mokni, Khaled, 2015, "Value-at-Risk estimation of energy commodities: A long-memory GARCH–EVT approach," Energy Economics, Elsevier, volume 51, issue C, pages 99-110, DOI: 10.1016/j.eneco.2015.06.010.
• Eugenia Sanin, María & Violante, Francesco & Mansanet-Bataller, María, 2015, "Understanding volatility dynamics in the EU-ETS market," Energy Policy, Elsevier, volume 82, issue C, pages 321-331, DOI: 10.1016/j.enpol.2015.02.024.
• Aye, Goodness & Gupta, Rangan & Hammoudeh, Shawkat & Kim, Won Joong, 2015, "Forecasting the price of gold using dynamic model averaging," International Review of Financial Analysis, Elsevier, volume 41, issue C, pages 257-266, DOI: 10.1016/j.irfa.2015.03.010.
• Narayan, Seema & Smyth, Russell, 2015, "The financial econometrics of price discovery and predictability," International Review of Financial Analysis, Elsevier, volume 42, issue C, pages 380-393, DOI: 10.1016/j.irfa.2015.09.003.
• Laurini, Márcio Poletti & Mauad, Roberto Baltieri, 2015, "A common jump factor stochastic volatility model," Finance Research Letters, Elsevier, volume 12, issue C, pages 2-10, DOI: 10.1016/j.frl.2014.12.009.
• Baur, Dirk G. & Löffler, Gunter, 2015, "Predicting the equity premium with the demand for gold coins and bars," Finance Research Letters, Elsevier, volume 13, issue C, pages 172-178, DOI: 10.1016/j.frl.2015.01.007.
• Corbet, Shaen & Dowling, Michael & Cummins, Mark, 2015, "Analyst recommendations and volatility in a rising, falling, and crisis equity market," Finance Research Letters, Elsevier, volume 15, issue C, pages 187-194, DOI: 10.1016/j.frl.2015.09.009.
• Liu, Li & Zhang, Tao, 2015, "Economic policy uncertainty and stock market volatility," Finance Research Letters, Elsevier, volume 15, issue C, pages 99-105, DOI: 10.1016/j.frl.2015.08.009.
• Sogiakas, Vasilios & Karathanassis, George, 2015, "Informational efficiency and spurious spillover effects between spot and derivatives markets," Global Finance Journal, Elsevier, volume 27, issue C, pages 46-72, DOI: 10.1016/j.gfj.2015.04.004.
• Scholz, Michael & Nielsen, Jens Perch & Sperlich, Stefan, 2015, "Nonparametric prediction of stock returns based on yearly data: The long-term view," Insurance: Mathematics and Economics, Elsevier, volume 65, issue C, pages 143-155, DOI: 10.1016/j.insmatheco.2015.09.011.
• Jammazi, Rania & Lahiani, Amine & Nguyen, Duc Khuong, 2015, "A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 34, issue C, pages 173-187, DOI: 10.1016/j.intfin.2014.11.011.
• Kolasa, Marcin & Rubaszek, Michał, 2015, "Forecasting using DSGE models with financial frictions," International Journal of Forecasting, Elsevier, volume 31, issue 1, pages 1-19, DOI: 10.1016/j.ijforecast.2014.05.001.
• Barsoum, Fady & Stankiewicz, Sandra, 2015, "Forecasting GDP growth using mixed-frequency models with switching regimes," International Journal of Forecasting, Elsevier, volume 31, issue 1, pages 33-50, DOI: 10.1016/j.ijforecast.2014.04.002.
• Castle, Jennifer L. & Clements, Michael P. & Hendry, David F., 2015, "Robust approaches to forecasting," International Journal of Forecasting, Elsevier, volume 31, issue 1, pages 99-112, DOI: 10.1016/j.ijforecast.2014.11.002.
• Baumeister, Christiane & Guérin, Pierre & Kilian, Lutz, 2015, "Do high-frequency financial data help forecast oil prices? The MIDAS touch at work," International Journal of Forecasting, Elsevier, volume 31, issue 2, pages 238-252, DOI: 10.1016/j.ijforecast.2014.06.005.
• Sekkel, Rodrigo M., 2015, "Balance sheets of financial intermediaries: Do they forecast economic activity?," International Journal of Forecasting, Elsevier, volume 31, issue 2, pages 263-275, DOI: 10.1016/j.ijforecast.2014.07.003.
• Liu, Xiaochun, 2015, "Modeling time-varying skewness via decomposition for out-of-sample forecast," International Journal of Forecasting, Elsevier, volume 31, issue 2, pages 296-311, DOI: 10.1016/j.ijforecast.2014.03.020.
• Martinez, Andrew B., 2015, "How good are US government forecasts of the federal debt?," International Journal of Forecasting, Elsevier, volume 31, issue 2, pages 312-324, DOI: 10.1016/j.ijforecast.2014.08.014.
• Ferrara, Laurent & Marcellino, Massimiliano & Mogliani, Matteo, 2015, "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," International Journal of Forecasting, Elsevier, volume 31, issue 3, pages 664-679, DOI: 10.1016/j.ijforecast.2014.11.005.
• Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2015, "Markov-switching mixed-frequency VAR models," International Journal of Forecasting, Elsevier, volume 31, issue 3, pages 692-711, DOI: 10.1016/j.ijforecast.2014.05.003.
• Grassi, Stefano & Proietti, Tommaso & Frale, Cecilia & Marcellino, Massimiliano & Mazzi, Gianluigi, 2015, "EuroMInd-C: A disaggregate monthly indicator of economic activity for the Euro area and member countries," International Journal of Forecasting, Elsevier, volume 31, issue 3, pages 712-738, DOI: 10.1016/j.ijforecast.2014.08.015.
• Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015, "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, volume 31, issue 3, pages 739-756, DOI: 10.1016/j.ijforecast.2014.08.013.
• Woźniak, Tomasz, 2015, "Testing causality between two vectors in multivariate GARCH models," International Journal of Forecasting, Elsevier, volume 31, issue 3, pages 876-894, DOI: 10.1016/j.ijforecast.2015.01.005.
• Bec, Frédérique & Mogliani, Matteo, 2015, "Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?," International Journal of Forecasting, Elsevier, volume 31, issue 4, pages 1021-1042, DOI: 10.1016/j.ijforecast.2014.11.006.
• Berg, Tim O. & Henzel, Steffen R., 2015, "Point and density forecasts for the euro area using Bayesian VARs," International Journal of Forecasting, Elsevier, volume 31, issue 4, pages 1067-1095, DOI: 10.1016/j.ijforecast.2015.03.006.
• Conflitti, Cristina & De Mol, Christine & Giannone, Domenico, 2015, "Optimal combination of survey forecasts," International Journal of Forecasting, Elsevier, volume 31, issue 4, pages 1096-1103, DOI: 10.1016/j.ijforecast.2015.03.009.
• Seo, Sung Won & Kim, Jun Sik, 2015, "The information content of option-implied information for volatility forecasting with investor sentiment," Journal of Banking & Finance, Elsevier, volume 50, issue C, pages 106-120, DOI: 10.1016/j.jbankfin.2014.09.010.
• Banulescu, Georgiana-Denisa & Dumitrescu, Elena-Ivona, 2015, "Which are the SIFIs? A Component Expected Shortfall approach to systemic risk," Journal of Banking & Finance, Elsevier, volume 50, issue C, pages 575-588, DOI: 10.1016/j.jbankfin.2014.01.037.
• Lin, Li & Surti, Jay, 2015, "Capital requirements for over-the-counter derivatives central counterparties," Journal of Banking & Finance, Elsevier, volume 52, issue C, pages 140-155, DOI: 10.1016/j.jbankfin.2014.08.015.
• Siburg, Karl Friedrich & Stoimenov, Pavel & Weiß, Gregor N.F., 2015, "Forecasting portfolio-Value-at-Risk with nonparametric lower tail dependence estimates," Journal of Banking & Finance, Elsevier, volume 54, issue C, pages 129-140, DOI: 10.1016/j.jbankfin.2015.01.012.
• Weiß, Gregor N.F. & Scheffer, Marcus, 2015, "Mixture pair-copula-constructions," Journal of Banking & Finance, Elsevier, volume 54, issue C, pages 175-191, DOI: 10.1016/j.jbankfin.2015.01.008.
• Panopoulou, Ekaterini & Vrontos, Spyridon, 2015, "Hedge fund return predictability; To combine forecasts or combine information?," Journal of Banking & Finance, Elsevier, volume 56, issue C, pages 103-122, DOI: 10.1016/j.jbankfin.2015.03.004.
• Gresnigt, Francine & Kole, Erik & Franses, Philip Hans, 2015, "Interpreting financial market crashes as earthquakes: A new Early Warning System for medium term crashes," Journal of Banking & Finance, Elsevier, volume 56, issue C, pages 123-139, DOI: 10.1016/j.jbankfin.2015.03.003.
• Dionne, Georges & Pacurar, Maria & Zhou, Xiaozhou, 2015, "Liquidity-adjusted Intraday Value at Risk modeling and risk management: An application to data from Deutsche Börse," Journal of Banking & Finance, Elsevier, volume 59, issue C, pages 202-219, DOI: 10.1016/j.jbankfin.2015.06.005.
• Tian, Shuairu & Hamori, Shigeyuki, 2015, "Modeling interest rate volatility: A Realized GARCH approach," Journal of Banking & Finance, Elsevier, volume 61, issue C, pages 158-171, DOI: 10.1016/j.jbankfin.2015.09.008.
• Freeman, Mark C. & Groom, Ben & Panopoulou, Ekaterini & Pantelidis, Theologos, 2015, "Declining discount rates and the Fisher Effect: Inflated past, discounted future?," Journal of Environmental Economics and Management, Elsevier, volume 73, issue C, pages 32-49, DOI: 10.1016/j.jeem.2015.06.003.
• Khiabani, Nasser, 2015, "Oil inflows and housing market fluctuations in an oil-exporting country: Evidence from Iran," Journal of Housing Economics, Elsevier, volume 30, issue C, pages 59-76, DOI: 10.1016/j.jhe.2015.10.002.
• Ferraro, Domenico & Rogoff, Kenneth & Rossi, Barbara, 2015, "Can oil prices forecast exchange rates? An empirical analysis of the relationship between commodity prices and exchange rates," Journal of International Money and Finance, Elsevier, volume 54, issue C, pages 116-141, DOI: 10.1016/j.jimonfin.2015.03.001.
• Temesvary, Judit, 2015, "Foreign activities of U.S. banks since 1997: The roles of regulations and market conditions in crises and normal times," Journal of International Money and Finance, Elsevier, volume 56, issue C, pages 202-222, DOI: 10.1016/j.jimonfin.2014.09.008.
• Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Namba, Ryoichi & Nishiyama, Shin-Ichi, 2015, "Estimating a DSGE model for Japan in a data-rich environment," Journal of the Japanese and International Economies, Elsevier, volume 36, issue C, pages 25-55, DOI: 10.1016/j.jjie.2015.02.001.
• El-Shagi, Makram & Jung, Alexander, 2015, "Does the Greenspan era provide evidence on leadership in the FOMC?," Journal of Macroeconomics, Elsevier, volume 43, issue C, pages 173-190, DOI: 10.1016/j.jmacro.2014.11.001.
• Jalles, João Tovar & Karibzhanov, Iskander & Loungani, Prakash, 2015, "Cross-country evidence on the quality of private sector fiscal forecasts," Journal of Macroeconomics, Elsevier, volume 45, issue C, pages 186-201, DOI: 10.1016/j.jmacro.2015.04.009.
• Dragomirescu-Gaina, Catalin & Elia, Leandro & Weber, Anke, 2015, "A fast-forward look at tertiary education attainment in Europe 2020," Journal of Policy Modeling, Elsevier, volume 37, issue 5, pages 804-819, DOI: 10.1016/j.jpolmod.2015.05.002.
• He, Kaijian & Lu, Xingjing & Zou, Yingchao & Keung Lai, Kin, 2015, "Forecasting metal prices with a curvelet based multiscale methodology," Resources Policy, Elsevier, volume 45, issue C, pages 144-150, DOI: 10.1016/j.resourpol.2015.03.011.
• Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2015, "A real-time quantile-regression approach to forecasting gold returns under asymmetric loss," Resources Policy, Elsevier, volume 45, issue C, pages 299-306, DOI: 10.1016/j.resourpol.2015.07.002.
• Li, Gang & Li, Yong, 2015, "Forecasting copper futures volatility under model uncertainty," Resources Policy, Elsevier, volume 46, issue P2, pages 167-176, DOI: 10.1016/j.resourpol.2015.09.009.
• Baele, Lieven & Bekaert, Geert & Cho, Seonghoon & Inghelbrecht, Koen & Moreno, Antonio, 2015, "Macroeconomic regimes," Journal of Monetary Economics, Elsevier, volume 70, issue C, pages 51-71, DOI: 10.1016/j.jmoneco.2014.09.003.
• Aye, Goodness C. & Balcilar, Mehmet & Gupta, Rangan & Majumdar, Anandamayee, 2015, "Forecasting aggregate retail sales: The case of South Africa," International Journal of Production Economics, Elsevier, volume 160, issue C, pages 66-79, DOI: 10.1016/j.ijpe.2014.09.033.
• Fantazzini, Dean & Toktamysova, Zhamal, 2015, "Forecasting German car sales using Google data and multivariate models," International Journal of Production Economics, Elsevier, volume 170, issue PA, pages 97-135, DOI: 10.1016/j.ijpe.2015.09.010.
• Ma, Chunbo & Rogers, Abbie A. & Kragt, Marit E. & Zhang, Fan & Polyakov, Maksym & Gibson, Fiona & Chalak, Morteza & Pandit, Ram & Tapsuwan, Sorada, 2015, "Consumers’ willingness to pay for renewable energy: A meta-regression analysis," Resource and Energy Economics, Elsevier, volume 42, issue C, pages 93-109, DOI: 10.1016/j.reseneeco.2015.07.003.
• Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu & Kyophilavong, Phouphet, 2015, "Frequency domain causality analysis of stock market and economic activity in India," International Review of Economics & Finance, Elsevier, volume 39, issue C, pages 224-238, DOI: 10.1016/j.iref.2015.04.007.
• Fernández-Rodríguez, Fernando & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2015, "Volatility spillovers in EMU sovereign bond markets," International Review of Economics & Finance, Elsevier, volume 39, issue C, pages 337-352, DOI: 10.1016/j.iref.2015.07.001.
• Drakos, Anastassios A. & Kouretas, Georgios P., 2015, "Bank ownership, financial segments and the measurement of systemic risk: An application of CoVaR," International Review of Economics & Finance, Elsevier, volume 40, issue C, pages 127-140, DOI: 10.1016/j.iref.2015.02.010.
• Swanson, Norman R. & Urbach, Richard, 2015, "Prediction and simulation using simple models characterized by nonstationarity and seasonality," International Review of Economics & Finance, Elsevier, volume 40, issue C, pages 312-323, DOI: 10.1016/j.iref.2015.02.027.
• Caporin, Massimiliano & Velo, Gabriel G., 2015, "Realized range volatility forecasting: Dynamic features and predictive variables," International Review of Economics & Finance, Elsevier, volume 40, issue C, pages 98-112, DOI: 10.1016/j.iref.2015.02.021.
• Hännikäinen, Jari, 2015, "Zero lower bound, unconventional monetary policy and indicator properties of interest rate spreads," Review of Financial Economics, Elsevier, volume 26, issue C, pages 47-54, DOI: 10.1016/j.rfe.2015.03.002.
• Vortelinos, Dimitrios I., 2015, "Out-of-sample evaluation of macro announcements, linearity, long memory, heterogeneity and jumps in mini-futures markets," Review of Financial Economics, Elsevier, volume 27, issue C, pages 58-67, DOI: 10.1016/j.rfe.2015.09.001.
• Coccia, Mario & Wang, Lili, 2015, "Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy," Technological Forecasting and Social Change, Elsevier, volume 94, issue C, pages 155-169, DOI: 10.1016/j.techfore.2014.09.007.
• Massiani, Jérôme, 2015, "Cost-Benefit Analysis of policies for the development of electric vehicles in Germany: Methods and results," Transport Policy, Elsevier, volume 38, issue C, pages 19-26, DOI: 10.1016/j.tranpol.2014.10.005.
• Joshua C.C. Chan, 2015, "The Stochastic Volatility in Mean Model with Time-Varying Parameters: An Application to Inflation Modeling," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2015-07, Mar.
• Joshua C.C. Chan & Eric Eisenstat, 2015, "Efficient estimation of Bayesian VARMAs with time-varying coefficients," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2015-19, Jun.
• Joshua C.C. Chan, 2015, "Large Bayesian VARs: A flexible Kronecker error covariance structure," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2015-41, Nov.
• Thomas Brenner & Marco Capasso & Matthias Duschl & Koen Frenken & Tania Treibich, 2015, "Causal Relations between Knowledge-Intensive Business Services and Regional Employment Growth," Papers in Evolutionary Economic Geography (PEEG), Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, number 1534, Oct, revised Oct 2015.
• Freeman, Mark C. & Groom, Ben & Panopoulou, Ekaterini & Pantelidis, Theologos, 2015, "Declining discount rates and the Fisher Effect: inflated past, discounted future?," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 64143.
• Bruno Lanz & Simon Dietz & Tim Swanson, 2015, "Global Population Growth, Technology, and Malthusian Constraints: A Quantitative Growth Theoretic Perspective," EcoMod2015, EcoMod, number 8380, Jul.
• Asai, M. & McAleer, M.J., 2015, "The Impact of Jumps and Leverage in Forecasting Co-Volatility," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI 2015-06, Feb.
• Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2015, "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2015-14, May.
• de Bruijn, L.P. & Franses, Ph.H.B.F., 2015, "Stochastic levels and duration dependence in US unemployment," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2015-20, Sep.
• Allen, D.E. & McAleer, M.J. & Peiris, S. & Singh, A.K., 2015, "Nonlinear time series and neural-network models of exchange rates between the US dollar and major currencies," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2015-33, Nov.
• Chang, C-L. & Jiménez-Martín, J.A. & Maasoumi, E. & McAleer, M.J., 2015, "Choosing Expected Shortfall over VaR in Basel III Using Stochastic Dominance," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2015-38, Dec.
• Mehmet Balcilar & Rangan Gupta & STELIOS BEKIROS, 2015, "The Role Of News-Based Uncertainty Indices In Predicting Oil Markets: A Hybrid Nonparametric Quantile Causality Method," Working Papers, Eastern Mediterranean University, Department of Economics, number 15-02.
• Antoniade Ciprian ALEXANDRU & Nicoleta CARAGEA, 2015, "The Capital Markets Research Based on the Financial Quantitative Models," Eco-Economics Review, Ecological University of Bucharest, Economics Faculty and Ecology and Environmental Protection Faculty, volume 1, issue 1, pages 3-16, June.
• Tatiana Damjanovic & Sarunas Girdenas & Keqing Liu, 2015, "Stationarity of Econometric Learning with Bounded Memory and a Predicted State Variable," Discussion Papers, University of Exeter, Department of Economics, number 1502.
• Murat Mahmutoğlu & Fahriye Öztürk, 2015, "Türkiye Elektrik Tüketimi Öngörüsü ve Bu Kapsamda Geliştirilebilecek Politika Önerileri," EY International Congress on Economics II (EYC2015), November 5-6, 2015, Ankara, Turkey, Ekonomik Yaklasim Association, number 239.
• Ivan Faiella & Federico Cingano, 2015, "La tassazione verde in Italia: l?analisi di una carbon tax sui trasporti," ECONOMIA PUBBLICA, FrancoAngeli Editore, volume 2015, issue 2, pages 45-90.
• Ivan Faiella & Alessandro Mistretta, 2015, "Spesa energetica e competitività delle imprese italiane," ECONOMIA PUBBLICA, FrancoAngeli Editore, volume 2015, issue 3, pages 85-121.
• Pablo M. Pincheira & Carlos A. Medel, 2015, "Forecasting Inflation with a Simple and Accurate Benchmark: The Case of the US and a Set of Inflation Targeting Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 65, issue 1, pages 2-29, January.
• Jan Klacso, 2015, "The Effects of the Euro Area Entrance on the Monetary Transmission Mechanism in Slovakia in Light of the Global Economic Recession," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 65, issue 1, pages 55-83, January.
• David Court & Benjamin Gillen & Jordi McKenzie & Charles Plott, 2015, "Two Information Aggregation Mechanisms for Predicting the Opening Weekend Box Office Revenues of Films: Boxoffice Prophecy and Guess of Guesses," Natural Field Experiments, The Field Experiments Website, number 00541.
• Brent Meyer & Murat Tasci, 2015, "Lessons for forecasting unemployment in the United States: use flow rates, mind the trend," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2015-1, Feb.
• Stanislav Anatolyev & Nikolay Gospodinov & Ibrahim Jamali & Xiaochun Liu, 2015, "Foreign exchange predictability during the financial crisis: implications for carry trade profitability," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2015-6, Aug.
• Todd E. Clark & Fabian Krueger & Francesco Ravazzolo, 2015, "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1439, Jan, DOI: 10.26509/frbc-wp-201439.
• Brent Meyer & Murat Tasci, 2015, "Lessons for Forecasting Unemployment in the U.S.: Use Flow Rates, Mind the Trend," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1502, Feb, DOI: 10.26509/frbc-wp-201502.
• Mehmet Pasaogullari, 2015, "Forecasts from Reduced-form Models under the Zero-Lower-Bound Constraint," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1512, Aug, DOI: 10.26509/frbc-wp-201512.
• Ellis W. Tallman & Saeed Zaman, 2015, "Forecasting Inflation: Phillips Curve Effects on Services Price Measures," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1519, Oct, DOI: 10.26509/frbc-wp-201519.
• John G. Fernald & Eric Hsu & Mark M. Spiegel, 2015, "Is China fudging its figures? Evidence from trading partner data," Working Paper Series, Federal Reserve Bank of San Francisco, number 2015-12, Sep, DOI: 10.24148/wp2015-12.
• Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2015, "Nowcasting Indonesia," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2015-100, Nov, DOI: 10.17016/FEDS.2015.100.
• Michael Ehrmann & Damjan Pfajfar & Emiliano Santoro, 2015, "Consumers' Attitudes and Their Inflation Expectations," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2015-15, Mar, DOI: 10.17016/FEDS.2015.015.
• Thomas Gilbert & Chiara Scotti & Georg Strasser & Clara Vega, 2015, "Is the Intrinsic Value of Macroeconomic News Announcements Related to their Asset Price Impact?," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2015-46, Apr, DOI: 10.17016/FEDS.2015.046r1.
• Andrew C. Chang & Tyler J. Hanson, 2015, "The Accuracy of Forecasts Prepared for the Federal Open Market Committee," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2015-62, Jul, DOI: 10.17016/FEDS.2015.062.
• Alessandro Barbarino & Efstathia Bura, 2015, "Forecasting with Sufficient Dimension Reductions," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2015-74, Sep, DOI: 10.17016/FEDS.2015.074.
• Neil R. Ericsson, 2015, "Eliciting GDP Forecasts from the FOMC’s Minutes Around the Financial Crisis," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1152, Nov, DOI: 10.17016/IFDP.2015.1152.
• Michael W. McCracken & Michael T. Owyang & Tatevik Sekhposyan, 2015, "Real-Time Forecasting and Scenario Analysis using a Large Mixed-Frequency Bayesian VAR," Working Papers, Federal Reserve Bank of St. Louis, number 2015-030, Oct, revised 10 Apr 2020, DOI: 10.20955/wp.2015.030.
• Domenico Giannone & Francesca Monti & Lucrezia Reichlin, 2015, "Exploiting the monthly data flow in structural forecasting," Staff Reports, Federal Reserve Bank of New York, number 751, Dec.
• Stephanie M. Wilshusen, 2015, "Exploring the use of anonymized consumer credit information to estimate economic conditions: an application of big data," Consumer Finance Institute discussion papers, Federal Reserve Bank of Philadelphia, number 15-5, Nov.
• Michael Dotsey & Shigeru Fujita & Tom Stark, 2015, "Do Phillips curves conditionally help to forecast inflation?," Working Papers, Federal Reserve Bank of Philadelphia, number 15-16, Mar.
• Cabedo, José David & Tirado, José Miguel, 2015, "Rough Sets And Discriminant Analysis Techniques For Business Default Forecasting," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), volume 0, issue 1, pages 3-37, May.
• Pavel Trunin & Kirill Rogov & Natalia Shagaida & Mikhail Khromov & Sergey Tsukhlo & Alexander Deryugin & Alexander Knobel & Yuri Bobylev & M.K. Kirillova, 2015, "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 1, pages 1-28, January.
• Mikhail Khromov & Sergey Drobyshevsky & Alexander Knobel & Marina Turuntseva & Kirill Rogov & Georgy Idrisov & Yuriy Ponomarev & Sergey Tsukhlo & Elena Avraamova & Dmitriy Loginov, 2015, "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 1-40, June.
• Pavel Trunin & Mikhail Khromov & Alexandra Bozhechkova & Sergey Tsukhlo & Natalia Shagaida & Yuri Bobylev & Alexander Abramov & M.K. Kirillova, 2015, "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 1-39, July.
• Pavel Trunin & Mikhail Khromov & Alexandra Bozhechkova & Sergey Drobyshevsky & Marina Turuntseva & Alexander Deryugin & Georgy Idrisov & Andrey Kaukin & M.K. Kirillova & Elena Grishina & Olga Morgunov, 2015, "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 1-26, September.
• Pavel Trunin & Mikhail Khromov & Anna Kiyutsevskaya & Sergey Tsukhlo & Natalia Zubarevich, 2015, "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 13, pages 1-26, October.
• Alexander Knobel & Yuri Bobylev & Alexandra Bozhechkova & Pavel Trunin & Mikhail Khromov & Natalia Shagaida & Vasily Uzun & Elena Avraamova & D. Loginov, 2015, "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 14, pages 1-26, October.
• Georgy Idrisov & Yuri Bobylev & Arseny Mamedov & Olga Morgunova & Mikhail Khromov & Sergey Tsukhlo & Olesia Rasenko, 2015, "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 15, pages 1-26, November.
• Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015, "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 17, pages 1-26, December.
• Alexandra Bozhechkova & Alexander Knobel & Georgy Idrisov & Yuri Ponomarev & Sergey Tsukhlo & Pavel Trunin & Sergey Sudakov & Alexandra Burdyak & Elena Grishina, 2015, "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 18, pages 1-26, December.
• Pavel Trunin & Natalia Shagaida & Sergey Tsukhlo & Alexander Abramov & Mikhail Khromov & Georgy Idrisov & Maria Kazakova & Dmitry Gordeev & Andrey Kaukin & Yuri Ponomarev & Sergey Sudakov & Eugenya Fi, 2015, "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 1-30, February.
• Pavel Trunin & Mikhail Khromov & Olga Izryadnova & Alexander Knobel & Arseny Mamedov & Kirill Rogov & Marina Turuntseva & Yulia Florinskaya & Elena Grishina & M.K. Kirillova & Natalia Zubarevich, 2015, "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 3, pages 1-26, March.
• Pavel Trunin & Mikhail Khromov & Alexander Deryugin & Georgy Idrisov & Andrey Kaukin & Yuri Ponomarev & Sergey Tsukhko & Natalia Shagaida & Dmitriy Rogozin & Alexandra Burdyak, 2015, "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 4, pages 1-23, March.
• Pavel Trunin & Mikhail Khromov & Alexander Deryugin & Andrey Kaukin & Sergey Tsukhko & Olga Izryadnova & Marina Turuntseva & Kirill Rogov & Georgy Idrisov & Sergey Drobyshevsky & Eugen Goryunov & Arse, 2015, "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 5, pages 1-27, March.
• Pavel Trunin & Mikhail Khromov & Alexander Deryugin & Sergey Tsukhko & Olga Izryadnova & Kirill Rogov & Olga Berezinskaya & Alexandra Bozhechkova & Natalia Zubarevich, 2015, "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 1-27, April.
• Pavel Trunin & Mikhail Khromov & Alexandra Bozhechkova & Alexander Knobel & Marina Turuntseva & Georgy Idrisov & Andrey Kaukin & Arseny Mamedov & Yuri Bobylev & Elena Fomina & Olga Morgunova & M.K. Ki, 2015, "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 7, pages 1-38, April.
• Pavel Trunin & Mikhail Khromov & Alexandra Bozhechkova & Kirill Rogov & Alexander Deryugin & Sergey Tsukhlo & Natalia Shagaida & Anna Kiyutsevskaya & Elena Avraamova & Dmitriy Loginov, 2015, "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 1-38, May.
• Pavel Trunin & Mikhail Khromov & Alexandra Bozhechkova & Alexander Deryugin & Marina Turuntseva & Georgy Idrisov & Andrey Kaukin & Yuriy Ponomarev & Olga Berezinskaya & Elena Grishina & Natalia Zubare, 2015, "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 9, pages 1-45, June.
• Sergey Drobyshevsky & Mikhail Khromov & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015, "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 17, pages 1-26, December.
• Alexandra Bozhechkova & Alexander Knobel & Georgy Idrisov & Yuri Ponomarev & Sergey Tsukhlo & Pavel Trunin & Sergey Sudakov & Alexandra Burdyak & Elena Grishina, 2015, "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 18, pages 1-26, December.
• Stavros Degiannakis, 2015, "A Probit Model for the State of the Greek GDP Growth," IJFS, MDPI, volume 3, issue 3, pages 1-12, August.
• Mario Cerrato & John Crosby & Minjoo Kim & Yang Zhao, 2015, "Modeling Dependence Structure and Forecasting Market Risk with Dynamic Asymmetric Copula," Working Papers, Business School - Economics, University of Glasgow, number 2015_15, Feb.
• António Alberto Santos, 2015, "The evolution of the Volatility in Financial Returns: Realized Volatility vs Stochastic Volatility Measures," GEMF Working Papers, GEMF, Faculty of Economics, University of Coimbra, number 2015-10, Apr.
• António A. F. Santos, 2015, "On the Forecasting of Financial Volatility Using Ultra-High Frequency Data," GEMF Working Papers, GEMF, Faculty of Economics, University of Coimbra, number 2015-17, Aug.
• Tilak Liyanaarachchi & Athula Naranpanawa & Jayatilleke S. Bandara, 2015, "The impact of trade liberalisation on labour markets and poverty in Sri Lanka," Discussion Papers in Economics, Griffith University, Department of Accounting, Finance and Economics, number economics:201505, May.
• PEREAU Jean-Christophe & URSU Eugen, 2015, "Application of periodic autoregressive process to the modeling of the Garonne river flows," Cahiers du GREThA (2007-2019), Groupe de Recherche en Economie Théorique et Appliquée (GREThA), number 2015-14.
• Constantin Burgi, 2015, "Can A Subset Of Forecasters Beat The Simple Average In The Spf?," Working Papers, The George Washington University, The Center for Economic Research, number 2015-001, Mar.
• William Larson, 2015, "Forecasting an Aggregate in the Presence of Structural Breaks in the Disaggregates," Working Papers, The George Washington University, The Center for Economic Research, number 2015-002, Jul.
• Neil R. Ericsson, 2015, "Eliciting GDP Forecasts from the FOMC’s Minutes Around the Financial Crisis," Working Papers, The George Washington University, The Center for Economic Research, number 2015-003, Nov.
• Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015, "Predicting Recessions With Boosted Regression Trees," Working Papers, The George Washington University, The Center for Economic Research, number 2015-004, Dec.
• Yongchen Zhao, 2015, "Robustness of Forecast Combination in Unstable Environment: A Monte Carlo Study of Advanced Algorithms," Working Papers, The George Washington University, The Center for Economic Research, number 2015-005, Dec.
• Constantin Bürgi & Tara M. Sinclair, 2015, "A Nonparametric Approach to Identifying a Subset of Forecasters that Outperforms the Simple Average," Working Papers, The George Washington University, The Center for Economic Research, number 2015-006, Dec.
• Antoine Kornprobst & Raphaël Douady, 2015, "A Pratical Approach to Financial Crisis Indicators Based on Random Matrices," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number halshs-01169307, May.
• Christophe Boucher & Bertrand Maillet, 2015, "La macroéconomie-en-risque," Post-Print, HAL, number hal-01243400, DOI: 10.3917/reco.pr2.0045.
• Georgiana-Denisa Banulescu & Elena Ivona Dumitrescu, 2015, "Which Are the SIFIs? A Component Expected Shortfall Approach to Systemic Risk," Post-Print, HAL, number hal-01385923.
• Christophe Boucher & Bertrand Maillet, 2015, "La macroéconomie-en-risque," Post-Print, HAL, number hal-01386001.
• Khaled Makhloufi & Bruno Ventelou & Mohammad Abu-Zaineh, 2015, "Have health insurance reforms in Tunisia attained their intended objectives?," Post-Print, HAL, number hal-01456119, Mar, DOI: 10.1007/s10754-014-9157-6.
• Nikola Gradojevic & Camillo Lento, 2015, "Multiscale analysis of foreign exchange order flows and technical trading profitability," Post-Print, HAL, number hal-01563053, Jun, DOI: 10.1016/j.econmod.2015.02.028.
• Laurent Ferrara & Massimiliano Marcellino & Matteo Mogliani, 2015, "Macroeconomic forecasting during the Great Recession: the return of non-linearity?," Post-Print, HAL, number hal-01635951.
• Laurent E. Calvet & Veronika Czellar, 2015, "Accurate Methods for Approximate Bayesian Computation Filtering," Post-Print, HAL, number hal-02313212, Oct, DOI: 10.1093/jjfinec/nbu019.
• Laurent E. Calvet & Veronika Czellar, 2015, "Through the Looking Glass : Indirect Inference via Simple Equilibria," Post-Print, HAL, number hal-02313236, Apr, DOI: 10.1016/j.jeconom.2014.11.003.
• Maria Eugenia Sanin & Francesco Violante & Maria Mansanet-Bataller, 2015, "Understanding volatility dynamics in the EU-ETS market," Post-Print, HAL, number hal-02878047, Jul, DOI: 10.1016/j.enpol.2015.02.024.
• Antoine Kornprobst & Raphaël Douady, 2015, "A Pratical Approach to Financial Crisis Indicators Based on Random Matrices," Post-Print, HAL, number halshs-01169307, May.
• Samir Elhedhli & Canan Akdemir & Thomas Astebro, 2015, "Classification Models Via Tabu Search: An Application to Early Stage Venture Classification," Working Papers, HAL, number hal-02002758, Jul.
• Grote, Claudia & Bertram, Philip, 2015, "A comparative Study of Volatility Breaks," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-558, Jun.
• Katharina Glass & Ulrich Fritsche, 2015, "Real-time Macroeconomic Data and Uncertainty," Macroeconomics and Finance Series, University of Hamburg, Department of Socioeconomics, number 201406, Jul.
• Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015, "Predicting Recessions in Germany With Boosted Regression Trees," Macroeconomics and Finance Series, University of Hamburg, Department of Socioeconomics, number 201505, Oct.
• Reese, Simon, 2015, "Asymptotic Inference in the Lee-Carter Model for Modelling Mortality Rates," Working Papers, Lund University, Department of Economics, number 2015:16, May.
• Dokken, Therese & Angelsen, Arild, 2015, "Forest reliance across poverty groups in Tanzania," Working Paper Series, Norwegian University of Life Sciences, School of Economics and Business, number 06-2015, Mar.
• Lucas, André & Zhang, Xin, 2015, "Score Driven Exponentially Weighted Moving Averages and Value-at-Risk Forecasting," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 309, Sep.
• Boris B. Demeshev & Oxana A. Malakhovskaya, 2015, "Forecasting Russian Macroeconomic Indicators with BVAR," HSE Working papers, National Research University Higher School of Economics, number WP BRP 105/EC/2015.
• Weigand, Roland & Wanger, Susanne & Zapf, Ines, 2015, "Factor structural time series models for official statistics with an application to hours worked in Germany," IAB-Discussion Paper, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], number 201522.
• Matthew Greenwood-Nimmo & Viet Hoang Nguyen, 2015, "Measuring the Connectedness of the Global Economy," Melbourne Institute Working Paper Series, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, number wp2015n07, Mar.
• Stampini, Marco & Robles, Marcos & Sáenz, Mayra & Ibarrarán, Pablo & Medellín, Nadin, 2015, "Poverty, Vulnerability and the Middle Class in Latin America," IDB Publications (Working Papers), Inter-American Development Bank, number 6878, Apr, DOI: http://dx.doi.org/10.18235/0012281.
• Ina Nurmalia Kurniati, 2015, "Forecasting Growth Of Third Party Funds," Working Papers, Bank Indonesia, number WP/10/2015, Dec.