Research classified by Journal of Economic Literature (JEL) codes

2016

• Giovanni Barone-Adesi & Chiara Legnazzi & Carlo Sala, 2016, "WTI Crude Oil Option-Implied VaR and CVaR: An Empirical Application," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 16-53, Dec.
• Jean-Philippe Bouchaud & Philipp Krueger & Augustin Landier & David Thesmar, 2016, "Sticky Expectations and the Profitability Anomaly," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 16-60, Nov.
• Li Lin & Didier Sornette, 2016, "A Simple Mechanism for Financial Bubbles: Time-Varying Momentum Horizon," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 16-61, Oct.
• Giovanni Barone-Adesi & Chiara Legnazzi & Carlo Sala, 2016, "S&P 500 Index, an Option Implied Risk Analysis," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 16-62, Nov.
• Imen Dakhlaoui & Chaker Aloui, 2016, "The Interactive Relationship Between the US Economic Policy Uncertainty and BRIC Stock Markets," International Economics, CEPII research center, issue 146, pages 141-157.
• René Garcia & Caio Almeida & Kym Ardison & Jose Vicente, 2016, "Nonparametric Tail Risk, Stock Returns and the Macroeconomy," CIRANO Working Papers, CIRANO, number 2016s-20, Apr.
• Gustavo Peralta, 2016, "The Nature of Volatility Spillovers across the International Capital Markets," CNMV Working Papers, CNMV- Spanish Securities Markets Commission - Research and Statistics Department, number CNMV Working Papers no. 6.
• Andrés Eduardo Jiménez Gómez & Luis Fernando Melo Velandia, 2016, "Modelación de la asimetría y la curtosis condicionales en series financieras colombianas," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, volume 76.
• Hernan Herrera-Echeverri, 2016, "Uso del indicador del retorno total del negocio como alternativa para optimizar la inversión en unidades de negocio en condiciones de incertidumbre," Documentos de Trabajo de Valor Público, Universidad EAFIT, number 14973, May.
• Miller Ariza, 2016, "Pronóstico del volumen de negociación del mercado secundario de renta fija en Colombia: a través de la modelación no lineal star," Vniversitas Económica, Universidad Javeriana - Bogotá, volume 0, issue 0, pages 1-46.
• José Carlos Trejo García & Humberto R�os Bol�var & Francisco Almagro V�zquez, 2016, "Actualización del modelo de riesgo crediticio, una necesidad para la banca revolvente en México," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, volume 8, issue 1, pages 17-30.
• Jason Nassios & James A. Giesecke & Peter B. Dixon & Maureen T. Rimmer, 2016, "A modelling framework for analysing the role of superannuation in Australia's financial system," Centre of Policy Studies/IMPACT Centre Working Papers, Victoria University, Centre of Policy Studies/IMPACT Centre, number g-266, Nov.
• Jason Nassios & James A. Giesecke & Peter B. Dixon & Maureen T. Rimmer, 2016, "Superannuation and Macroeconomic Growth and Stability," Centre of Policy Studies/IMPACT Centre Working Papers, Victoria University, Centre of Policy Studies/IMPACT Centre, number g-267, Nov.
• Dorota Krupa & Michal Buszko, 2016, "Characteristics and prospects of development of securitisation investment funds market in Poland," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, volume 15, issue 3, pages 357-370, September, DOI: 10.12775/EiP.2016.024.
• Muellbauer, John & Aron, Janine, 2016, "Modelling and Forecasting Mortgage Delinquency and Foreclosure in the UK," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 11236, Apr.
• Adrian, Tobias & Crump, Richard K. & Vogt, Erik, 2016, "Nonlinearity and Flight-to-Safety in the Risk-Return Tradeoff for Stocks and Bonds," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 11401, Jul.
• Martin, Ian & Wagner, Christian, 2016, "What is the Expected Return on a Stock?," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 11608, Nov.
• Till Weigt & Bernd Wilfling, 2016, "A new combination approach to reducing forecast errors with an application to volatility forecasting," CQE Working Papers, Center for Quantitative Economics (CQE), University of Muenster, number 4616, Apr.
• Alessandro Spelta, 2016, "A unfi ed view of systemic risk: detecting SIFIs and forecasting the fi nancial cycle via EWSs," DISCE - Working Papers del Dipartimento di Economia e Finanza, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE), number def036, Jan.
• Issam BOUSALAM, 2016, "Forecasting Daily Stock Volatility Using GARCH-CJ Type Models with Continuous and Jump Variation," Turkish Economic Review, EconSciences Journals, volume 3, issue 1, pages 160-169, March.
• Jaydip SEN & Tamal DATTA CHAUDHURI, 2016, "An Alternative Framework for Time Series Decomposition and Forecastingand its Relevance for Portfolio Choice A Comparative Study of the Indian Consumer Durable and Small Cap Sectors," Journal of Economics Library, EconSciences Journals, volume 3, issue 2, pages 303-326, June.
• Stan Hurn & Peter C. B. Phillips & Shu-Ping Shi, 2016, ""Change Detection and the Causal Impact of the Yield Curve," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2058, Dec.
• Iulia LUPU & Gheorghe HURDUZEU & Mariana NICOLAE, 2016, "Connections Between Sentiment Indices And Reduced Volatilities Of Sustainability Stock Market Indices," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, volume 50, issue 1, pages 157-174.
• Marcel Ioan BOLOS & Diana Claudia SABĂU-POPA & Emil SCARLAT & Ioana-Alexandra BRADEA & Camelia DELCEA,, 2016, "A Business Intelligence Instrument for Detection and Mitigation of Risks Related to Projects Financed from Structural Funds," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, volume 50, issue 2, pages 165-178.
• Vasile GEORGESCU, 2016, "Using Nature-Inspired Metaheuristics to Train Predictive Machines," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, volume 50, issue 2, pages 5-24.
• Pooi AH-HIN & Ng KOK-HAUR & Soo HUEI-CHING, 2016, "Modelling and Forecasting with Financial Duration Data Using Non-linear Model," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, volume 50, issue 2, pages 79-92.
• Габриела Кръстева, 2016, "Оценяване И Прогнозиране На Пазарния Риск На Българските Публични Нефинансови Дружества," Almanac of PhD Students, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, volume 12, issue 12 Year 2, pages 28-58.
• Стефан Симеонов, 2016, "Измерители На Борсовата Активност – Изследване На Индикаторите И Анализ На Пазарния Тренд," "Economic World" Library, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 131 Year , pages 3-228.
• Fabian Baetje & Lukas Menkhoff, 2016, "Equity Premium Prediction: Are Economic and Technical Indicators Unstable?," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1552.
• Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016, "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Dundee Discussion Papers in Economics, Economic Studies, University of Dundee, number 293, Feb.
• Capkun, Vedran & Beneish , Messod Daniel, 2016, "Earnings Increases as a Type-Revealing Signal," HEC Research Papers Series, HEC Paris, number 1132, Jan.
• Thesmar , David & Bouchaud, Jean-Philippe & Krueger , Philipp & Landier , Augustin, 2016, "Sticky Expectations and Stock Market Anomalies," HEC Research Papers Series, HEC Paris, number 1136, Mar.
• Bao, Jack & Hou, Kewei & Zhang, Shaojun A., 2016, "Systemic Default and Return Predictability in the Stock and Bond Markets," Working Paper Series, Ohio State University, Charles A. Dice Center for Research in Financial Economics, number 2016-2, Jan.
• Monira Essa Aloud, 2016, "Profitability of Directional Change Based Trading Strategies: The Case of Saudi Stock Market," International Journal of Economics and Financial Issues, Econjournals, volume 6, issue 1, pages 87-95.
• Mansoor Maitah & Petr Prochazka & Michal Cermak & Karel r dl, 2016, "Commodity Channel Index: Evaluation of Trading Rule of Agricultural Commodities," International Journal of Economics and Financial Issues, Econjournals, volume 6, issue 1, pages 176-178.
• Adil EL Fakir & Mohamed Tkiouat, 2016, "Single or Menu Contracting: A Game Theory Application of the Hersanyi Model to Mudaraba Financing," International Journal of Economics and Financial Issues, Econjournals, volume 6, issue 1, pages 221-230.
• Umit Bulut, 2016, "Do Financial Conditions have a Predictive Power on Inflation in Turkey?," International Journal of Economics and Financial Issues, Econjournals, volume 6, issue 2, pages 621-628.
• Rashid Sbia & Rashid Sbia & Helmi Hamdi & Bedri Kamil Onur Tas & Sahel Al Rousan, 2016, "Gulf Cooperation Council Stock Returns and the Effect of Domestic Monetary Policy Shocks," International Journal of Economics and Financial Issues, Econjournals, volume 6, issue 2, pages 629-639.
• Rangga Handika & Rangga Handika & Sigit Triandaru, 2016, "Is the Best Generalized Autoregressive Conditional Heteroskedasticity(p,q) Value-at-risk Estimate also the Best in Reality? An Evidence from Australian Interconnected Power Markets," International Journal of Energy Economics and Policy, Econjournals, volume 6, issue 4, pages 814-821.
• Baruník, Jozef & Malinská, Barbora, 2016, "Forecasting the term structure of crude oil futures prices with neural networks," Applied Energy, Elsevier, volume 164, issue C, pages 366-379, DOI: 10.1016/j.apenergy.2015.11.051.
• Kinari, Yusuke, 2016, "Properties of expectation biases: Optimism and overconfidence," Journal of Behavioral and Experimental Finance, Elsevier, volume 10, issue C, pages 32-49, DOI: 10.1016/j.jbef.2016.02.003.
• Meub, Lukas & Proeger, Till, 2016, "Can anchoring explain biased forecasts? Experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, volume 12, issue C, pages 1-13, DOI: 10.1016/j.jbef.2016.08.001.
• Bauwens, Luc & Grigoryeva, Lyudmila & Ortega, Juan-Pablo, 2016, "Estimation and empirical performance of non-scalar dynamic conditional correlation models," Computational Statistics & Data Analysis, Elsevier, volume 100, issue C, pages 17-36, DOI: 10.1016/j.csda.2015.02.013.
• Billio, Monica & Casarin, Roberto & Osuntuyi, Anthony, 2016, "Efficient Gibbs sampling for Markov switching GARCH models," Computational Statistics & Data Analysis, Elsevier, volume 100, issue C, pages 37-57, DOI: 10.1016/j.csda.2014.04.011.
• Hoang, Thi Hong Van & Lahiani, Amine & Heller, David, 2016, "Is gold a hedge against inflation? New evidence from a nonlinear ARDL approach," Economic Modelling, Elsevier, volume 54, issue C, pages 54-66, DOI: 10.1016/j.econmod.2015.12.013.
• Switzer, Lorne N. & Picard, Alan, 2016, "Stock market liquidity and economic cycles: A non-linear approach," Economic Modelling, Elsevier, volume 57, issue C, pages 106-119, DOI: 10.1016/j.econmod.2016.04.006.
• Nyberg, Henri & Pönkä, Harri, 2016, "International sign predictability of stock returns: The role of the United States," Economic Modelling, Elsevier, volume 58, issue C, pages 323-338, DOI: 10.1016/j.econmod.2016.06.013.
• Bekiros, Stelios & Gupta, Rangan & Kyei, Clement, 2016, "On economic uncertainty, stock market predictability and nonlinear spillover effects," The North American Journal of Economics and Finance, Elsevier, volume 36, issue C, pages 184-191, DOI: 10.1016/j.najef.2016.01.003.
• Horváth, Roman & Šopov, Boril, 2016, "GARCH models, tail indexes and error distributions: An empirical investigation," The North American Journal of Economics and Finance, Elsevier, volume 37, issue C, pages 1-15, DOI: 10.1016/j.najef.2016.03.006.
• Balaban, Ercan & Lu, Shan, 2016, "Forecasting the term structure of volatility of crude oil price changes," Economics Letters, Elsevier, volume 141, issue C, pages 116-118, DOI: 10.1016/j.econlet.2016.02.015.
• Pan, Zhiyuan & Wang, Yudong & Wu, Chongfeng, 2016, "A nonparametric approach to test for predictability," Economics Letters, Elsevier, volume 148, issue C, pages 10-16, DOI: 10.1016/j.econlet.2016.09.006.
• Ghoddusi, Hamed & Fahim, Arash, 2016, "Volatility can be detrimental to option values!," Economics Letters, Elsevier, volume 149, issue C, pages 5-9, DOI: 10.1016/j.econlet.2016.10.001.
• Jin, Xin & Maheu, John M., 2016, "Bayesian semiparametric modeling of realized covariance matrices," Journal of Econometrics, Elsevier, volume 192, issue 1, pages 19-39, DOI: 10.1016/j.jeconom.2015.11.001.
• Afik, Zvika & Arad, Ohad & Galil, Koresh, 2016, "Using Merton model for default prediction: An empirical assessment of selected alternatives," Journal of Empirical Finance, Elsevier, volume 35, issue C, pages 43-67, DOI: 10.1016/j.jempfin.2015.09.004.
• Zhang, Hui Jun & Dufour, Jean-Marie & Galbraith, John W., 2016, "Exchange rates and commodity prices: Measuring causality at multiple horizons," Journal of Empirical Finance, Elsevier, volume 36, issue C, pages 100-120, DOI: 10.1016/j.jempfin.2015.10.005.
• Byun, Sung Je, 2016, "The usefulness of cross-sectional dispersion for forecasting aggregate stock price volatility," Journal of Empirical Finance, Elsevier, volume 36, issue C, pages 162-180, DOI: 10.1016/j.jempfin.2016.01.013.
• Caldeira, João F. & Moura, Guilherme V. & Santos, André A.P., 2016, "Bond portfolio optimization using dynamic factor models," Journal of Empirical Finance, Elsevier, volume 37, issue C, pages 128-158, DOI: 10.1016/j.jempfin.2016.03.004.
• Duyvesteyn, Johan & Martens, Martin & Verwijmeren, Patrick, 2016, "Political risk and expected government bond returns," Journal of Empirical Finance, Elsevier, volume 38, issue PA, pages 498-512, DOI: 10.1016/j.jempfin.2016.01.016.
• Aldrich, Eric M. & Heckenbach, Indra & Laughlin, Gregory, 2016, "A compound duration model for high-frequency asset returns," Journal of Empirical Finance, Elsevier, volume 39, issue PA, pages 105-128, DOI: 10.1016/j.jempfin.2016.10.003.
• Qu, Hui & Chen, Wei & Niu, Mengyi & Li, Xindan, 2016, "Forecasting realized volatility in electricity markets using logistic smooth transition heterogeneous autoregressive models," Energy Economics, Elsevier, volume 54, issue C, pages 68-76, DOI: 10.1016/j.eneco.2015.12.001.
• Pan, Zhiyuan & Wang, Yudong & Liu, Li, 2016, "The relationships between petroleum and stock returns: An asymmetric dynamic equi-correlation approach," Energy Economics, Elsevier, volume 56, issue C, pages 453-463, DOI: 10.1016/j.eneco.2016.04.008.
• Wang, Yudong & Liu, Li & Ma, Feng & Wu, Chongfeng, 2016, "What the investors need to know about forecasting oil futures return volatility," Energy Economics, Elsevier, volume 57, issue C, pages 128-139, DOI: 10.1016/j.eneco.2016.05.004.
• 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.
• Ahmadi, Maryam & Bashiri Behmiri, Niaz & Manera, Matteo, 2016, "How is volatility in commodity markets linked to oil price shocks?," Energy Economics, Elsevier, volume 59, issue C, pages 11-23, DOI: 10.1016/j.eneco.2016.07.006.
• 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.
• 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.
• 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.
• Polimenis, Vassilis & Neokosmidis, Ioannis M., 2016, "The modified dividend–price ratio," International Review of Financial Analysis, Elsevier, volume 45, issue C, pages 31-38, DOI: 10.1016/j.irfa.2016.01.019.
• Lee, Bong-Soo & Ko, Kwangsoo, 2016, "Are Japanese margin buyers informed?," International Review of Financial Analysis, Elsevier, volume 45, issue C, pages 47-53, DOI: 10.1016/j.irfa.2016.02.010.
• Casalin, Fabrizio, 2016, "Size and power of tests based on Permanent-Transitory Component Models," International Review of Financial Analysis, Elsevier, volume 47, issue C, pages 142-153, DOI: 10.1016/j.irfa.2016.07.003.
• Salhin, Ahmed & Sherif, Mohamed & Jones, Edward, 2016, "Managerial sentiment, consumer confidence and sector returns," International Review of Financial Analysis, Elsevier, volume 47, issue C, pages 24-38, DOI: 10.1016/j.irfa.2016.06.009.
• Lavička, H. & Lichard, T. & Novotný, J., 2016, "Sand in the wheels or wheels in the sand? Tobin taxes and market crashes," International Review of Financial Analysis, Elsevier, volume 47, issue C, pages 328-342, DOI: 10.1016/j.irfa.2016.03.012.
• Poshakwale, Sunil S. & Mandal, Anandadeep, 2016, "What drives asymmetric dependence structure of asset return comovements?," International Review of Financial Analysis, Elsevier, volume 48, issue C, pages 312-330, DOI: 10.1016/j.irfa.2015.07.001.
• Byström, Hans, 2016, "Credit-implied forward volatility and volatility expectations," Finance Research Letters, Elsevier, volume 16, issue C, pages 132-138, DOI: 10.1016/j.frl.2015.10.027.
• Park, Heungju & Sohn, Bumjean, 2016, "Long-term perspective on the stock market matters in asset pricing," Finance Research Letters, Elsevier, volume 16, issue C, pages 162-170, DOI: 10.1016/j.frl.2015.10.022.
• Haugom, Erik & Ray, Rina & Ullrich, Carl J. & Veka, Steinar & Westgaard, Sjur, 2016, "A parsimonious quantile regression model to forecast day-ahead value-at-risk," Finance Research Letters, Elsevier, volume 16, issue C, pages 196-207, DOI: 10.1016/j.frl.2015.12.006.
• Shi, Guangping & Liu, Xiaoxing & Tang, Pan, 2016, "Pricing options under the non-affine stochastic volatility models: An extension of the high-order compact numerical scheme," Finance Research Letters, Elsevier, volume 16, issue C, pages 220-229, DOI: 10.1016/j.frl.2015.12.004.
• Song, Wonho & Ryu, Doojin & Webb, Robert I., 2016, "Overseas market shocks and VKOSPI dynamics: A Markov-switching approach," Finance Research Letters, Elsevier, volume 16, issue C, pages 275-282, DOI: 10.1016/j.frl.2015.12.007.
• Chen, An-Sing & Yang, Wayne, 2016, "Echo effects and the returns from 52-week high strategies," Finance Research Letters, Elsevier, volume 16, issue C, pages 38-46, DOI: 10.1016/j.frl.2015.10.015.
• Ferrer, Alex & Casals, José & Sotoca, Sonia, 2016, "Efficient estimation of unconditional capital by Monte Carlo simulation," Finance Research Letters, Elsevier, volume 16, issue C, pages 75-84, DOI: 10.1016/j.frl.2015.10.010.
• Smith, Geoffrey Peter, 2016, "Weekday variation in the leverage effect: A puzzle," Finance Research Letters, Elsevier, volume 17, issue C, pages 193-196, DOI: 10.1016/j.frl.2016.03.001.
• Pönkä, Harri, 2016, "Real oil prices and the international sign predictability of stock returns," Finance Research Letters, Elsevier, volume 17, issue C, pages 79-87, DOI: 10.1016/j.frl.2016.01.011.
• Frömmel, Michael & Lampaert, Kevin, 2016, "Does frequency matter for intraday technical trading?," Finance Research Letters, Elsevier, volume 18, issue C, pages 177-183, DOI: 10.1016/j.frl.2016.04.014.
• Wang, Gang-Jin & Xie, Chi & Jiang, Zhi-Qiang & Eugene Stanley, H., 2016, "Who are the net senders and recipients of volatility spillovers in China’s financial markets?," Finance Research Letters, Elsevier, volume 18, issue C, pages 255-262, DOI: 10.1016/j.frl.2016.04.025.
• Chiu, Yen-Chen & Chuang, I-Yuan, 2016, "The performance of the switching forecast model of value-at-risk in the Asian stock markets," Finance Research Letters, Elsevier, volume 18, issue C, pages 43-51, DOI: 10.1016/j.frl.2016.03.019.
• Maio, Paulo, 2016, "Cross-sectional return dispersion and the equity premium," Journal of Financial Markets, Elsevier, volume 29, issue C, pages 87-109, DOI: 10.1016/j.finmar.2015.09.001.
• Fink, Kilian & Krüger, Ulrich & Meller, Barbara & Wong, Lui-Hsian, 2016, "The credit quality channel: Modeling contagion in the interbank market," Journal of Financial Stability, Elsevier, volume 25, issue C, pages 83-97, DOI: 10.1016/j.jfs.2016.06.002.
• Dragicevic, Arnaud & Lobianco, Antonello & Leblois, Antoine, 2016, "Forest planning and productivity-risk trade-off through the Markowitz mean-variance model," Forest Policy and Economics, Elsevier, volume 64, issue C, pages 25-34, DOI: 10.1016/j.forpol.2015.12.010.
• David, Joel M. & Simonovska, Ina, 2016, "Correlated beliefs, returns, and stock market volatility," Journal of International Economics, Elsevier, volume 99, issue S1, pages 58-77, DOI: 10.1016/j.jinteco.2015.11.006.
• Siburg, Karl Friedrich & Stehling, Katharina & Stoimenov, Pavel A. & Weiß, Gregor N.F., 2016, "An order of asymmetry in copulas, and implications for risk management," Insurance: Mathematics and Economics, Elsevier, volume 68, issue C, pages 241-247, DOI: 10.1016/j.insmatheco.2016.03.008.
• 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.
• Dakhlaoui, Imen & Aloui, Chaker, 2016, "The interactive relationship between the US economic policy uncertainty and BRIC stock markets," International Economics, Elsevier, volume 146, issue C, pages 141-157, DOI: 10.1016/j.inteco.2015.12.002.
• Baetje, Fabian & Menkhoff, Lukas, 2016, "Equity premium prediction: Are economic and technical indicators unstable?," International Journal of Forecasting, Elsevier, volume 32, issue 4, pages 1193-1207, DOI: 10.1016/j.ijforecast.2016.02.006.
• 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.
• Li, Ningzhong & Vasvari, Florin P. & Wittenberg-Moerman, Regina, 2016, "Dynamic threshold values in earnings-based covenants," Journal of Accounting and Economics, Elsevier, volume 61, issue 2, pages 605-629, DOI: 10.1016/j.jacceco.2015.07.004.
• Konstantinidi, Eirini & Skiadopoulos, George, 2016, "How does the market variance risk premium vary over time? Evidence from S&P 500 variance swap investment returns," Journal of Banking & Finance, Elsevier, volume 62, issue C, pages 62-75, DOI: 10.1016/j.jbankfin.2015.10.006.
• Platikanova, Petya & Mattei, Marco Maria, 2016, "Firm geographic dispersion and financial analysts’ forecasts," Journal of Banking & Finance, Elsevier, volume 64, issue C, pages 71-89, DOI: 10.1016/j.jbankfin.2015.11.012.
• Focardi, Sergio M. & Fabozzi, Frank J. & Mitov, Ivan K., 2016, "A new approach to statistical arbitrage: Strategies based on dynamic factor models of prices and their performance," Journal of Banking & Finance, Elsevier, volume 65, issue C, pages 134-155, DOI: 10.1016/j.jbankfin.2015.10.005.
• De Genaro, Alan, 2016, "Systematic multi-period stress scenarios with an application to CCP risk management," Journal of Banking & Finance, Elsevier, volume 67, issue C, pages 119-134, DOI: 10.1016/j.jbankfin.2015.12.011.
• Zhu, Wenjun & Wang, Chou-Wen & Tan, Ken Seng, 2016, "Structure and estimation of Lévy subordinated hierarchical Archimedean copulas (LSHAC): Theory and empirical tests," Journal of Banking & Finance, Elsevier, volume 69, issue C, pages 20-36, DOI: 10.1016/j.jbankfin.2016.01.011.
• Hirtle, Beverly & Kovner, Anna & Vickery, James & Bhanot, Meru, 2016, "Assessing financial stability: The Capital and Loss Assessment under Stress Scenarios (CLASS) model," Journal of Banking & Finance, Elsevier, volume 69, issue S1, pages 35-55, DOI: 10.1016/j.jbankfin.2015.09.021.
• Koliai, Lyes, 2016, "Extreme risk modeling: An EVT–pair-copulas approach for financial stress tests," Journal of Banking & Finance, Elsevier, volume 70, issue C, pages 1-22, DOI: 10.1016/j.jbankfin.2016.02.004.
• Shynkevich, Andrei, 2016, "Predictability in bond returns using technical trading rules," Journal of Banking & Finance, Elsevier, volume 70, issue C, pages 55-69, DOI: 10.1016/j.jbankfin.2016.06.010.
• Ahmed, Shamim & Tsvetanov, Daniel, 2016, "The predictive performance of commodity futures risk factors," Journal of Banking & Finance, Elsevier, volume 71, issue C, pages 20-36, DOI: 10.1016/j.jbankfin.2016.06.011.
• Tsao, Shou-Min & Lu, Hsueh-Tien & Keung, Edmund C., 2016, "Voluntary monthly earnings disclosures and analyst behavior," Journal of Banking & Finance, Elsevier, volume 71, issue C, pages 37-49, DOI: 10.1016/j.jbankfin.2016.04.010.
• Butaru, Florentin & Chen, Qingqing & Clark, Brian & Das, Sanmay & Lo, Andrew W. & Siddique, Akhtar, 2016, "Risk and risk management in the credit card industry," Journal of Banking & Finance, Elsevier, volume 72, issue C, pages 218-239, DOI: 10.1016/j.jbankfin.2016.07.015.
• Kapinos, Pavel & Gurley-Calvez, Tami & Kapinos, Kandice, 2016, "(Un)expected housing price changes: Identifying the drivers of small business finance," Journal of Economics and Business, Elsevier, volume 84, issue C, pages 79-94, DOI: 10.1016/j.jeconbus.2016.02.002.
• Herskovic, Bernard & Kelly, Bryan & Lustig, Hanno & Van Nieuwerburgh, Stijn, 2016, "The common factor in idiosyncratic volatility: Quantitative asset pricing implications," Journal of Financial Economics, Elsevier, volume 119, issue 2, pages 249-283, DOI: 10.1016/j.jfineco.2015.09.010.
• Beckmann, Joscha & Schüssler, Rainer, 2016, "Forecasting exchange rates under parameter and model uncertainty," Journal of International Money and Finance, Elsevier, volume 60, issue C, pages 267-288, DOI: 10.1016/j.jimonfin.2015.07.001.
• 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.
• Choroś-Tomczyk, Barbara & Härdle, Wolfgang Karl & Okhrin, Ostap, 2016, "A semiparametric factor model for CDO surfaces dynamics," Journal of Multivariate Analysis, Elsevier, volume 146, issue C, pages 151-163, DOI: 10.1016/j.jmva.2015.09.002.
• Paparizos, Panagiotis & Dimitriou, Dimitrios & Kenourgios, Dimitris & Simos, Theodore, 2016, "On high frequency dynamics between information asymmetry and volatility for securities," The Journal of Economic Asymmetries, Elsevier, volume 13, issue C, pages 21-34, DOI: 10.1016/j.jeca.2015.10.001.
• 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.
• 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.
• Godfrey, Keith R.L., 2016, "Detecting the great short squeeze on Volkswagen," Pacific-Basin Finance Journal, Elsevier, volume 40, issue PB, pages 323-334, DOI: 10.1016/j.pacfin.2016.02.001.
• Sharma, Prateek & Vipul,, 2016, "Forecasting stock market volatility using Realized GARCH model: International evidence," The Quarterly Review of Economics and Finance, Elsevier, volume 59, issue C, pages 222-230, DOI: 10.1016/j.qref.2015.07.005.
• Geyer, Alois & Hanke, Michael & Weissensteiner, Alex, 2016, "Inflation forecasts extracted from nominal and real yield curves," The Quarterly Review of Economics and Finance, Elsevier, volume 60, issue C, pages 180-188, DOI: 10.1016/j.qref.2015.10.002.
• Jung, Young Cheol, 2016, "A portfolio insurance strategy for volatility index (VIX) futures," The Quarterly Review of Economics and Finance, Elsevier, volume 60, issue C, pages 189-200, DOI: 10.1016/j.qref.2015.09.001.
• Miwa, Kotaro & Ueda, Kazuhiro, 2016, "Analysts’ preference for growth investing and vulnerability to market-wide sentiment," The Quarterly Review of Economics and Finance, Elsevier, volume 61, issue C, pages 40-52, DOI: 10.1016/j.qref.2015.11.003.
• Labidi, Chiraz & Yaakoubi, Soumaya, 2016, "Investor sentiment and aggregate volatility pricing," The Quarterly Review of Economics and Finance, Elsevier, volume 61, issue C, pages 53-63, DOI: 10.1016/j.qref.2015.11.005.
• 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.
• Gomes, Pedro & Taamouti, Abderrahim, 2016, "In search of the determinants of European asset market comovements," International Review of Economics & Finance, Elsevier, volume 44, issue C, pages 103-117, DOI: 10.1016/j.iref.2016.03.005.
• Chen, An-Sing & Chang, Chong-Chuo & Cheng, Lee-Young & Tu, Hsing-Yu, 2016, "Do analysts cater to investor beliefs via target prices," International Review of Economics & Finance, Elsevier, volume 44, issue C, pages 232-252, DOI: 10.1016/j.iref.2016.04.005.
• 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.
• Suzuki, Masataka, 2016, "A representative agent asset pricing model with heterogeneous beliefs and recursive utility," International Review of Economics & Finance, Elsevier, volume 45, issue C, pages 298-315, DOI: 10.1016/j.iref.2016.06.009.
• Nasr, Adnen Ben & Lux, Thomas & Ajmi, Ahdi Noomen & Gupta, Rangan, 2016, "Forecasting the volatility of the Dow Jones Islamic Stock Market Index: Long memory vs. regime switching," International Review of Economics & Finance, Elsevier, volume 45, issue C, pages 559-571, DOI: 10.1016/j.iref.2016.07.014.
• Chao, Shih-Wei, 2016, "Do economic variables improve bond return volatility forecasts?," International Review of Economics & Finance, Elsevier, volume 46, issue C, pages 10-26, DOI: 10.1016/j.iref.2016.08.001.
• Gutierrez, Jose, 2016, "Reversal of 3-day losers and continuation of 3-day winners on the NASDAQ," Review of Financial Economics, Elsevier, volume 30, issue C, pages 68-73, DOI: 10.1016/j.rfe.2016.07.001.
• Koutmos, Dimitrios, 2016, "Distilling private information from plain-vanilla options to predict future underlying stock price volatility: Evidence from the H-shares of Chinese banks," Research in International Business and Finance, Elsevier, volume 37, issue C, pages 391-405, DOI: 10.1016/j.ribaf.2016.01.017.
• Yavas, Burhan F. & Dedi, Lidija, 2016, "An investigation of return and volatility linkages among equity markets: A study of selected European and emerging countries," Research in International Business and Finance, Elsevier, volume 37, issue C, pages 583-596, DOI: 10.1016/j.ribaf.2016.01.025.
• Lillo, Felipe & Valdés, Rodrigo, 2016, "Dynamics of financial markets and transaction costs: A graph-based study," Research in International Business and Finance, Elsevier, volume 38, issue C, pages 455-465, DOI: 10.1016/j.ribaf.2016.07.024.
• Allen, D.E. & McAleer, M.J. & Singh, A.K., 2016, "A Multi-Criteria Portfolio Analysis of Hedge Fund Strategies," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2016-46, Dec.
• Byrne, JP & Cao, S & Korobilis, D, 2016, "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Essex Finance Centre Working Papers, University of Essex, Essex Business School, number 18195, Aug.
• Raúl De Jesús Gutiérrez., 2016, "Estrategias dinámicas de cobertura cruzada eficiente para el mercado del petróleo mexicano: Evidencia de dos modelos GARCH multivariados con término de corrección de error," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, volume 44, issue 1, pages 115-146, Enero-Jun, DOI: 10.24275/ETYPUAM/NE/442016/DeJesus.
• Krzysztof Drachal, 2016, "Is the Development of WIG Index Determined by Certain Macroeconomic and Financial Factors?," Expert Journal of Economics, Sprint Investify, volume 4, issue 1, pages 24-33.
• Manuel Adelino & Kristopher Gerardi & Barney Hartman-Glaser, 2016, "Are Lemons Sold First? Dynamic Signaling in the Mortgage Market," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2016-8, Jul.
• Timothy S. Fuerst & Ron Mau, 2016, "Term Premium Variability and Monetary Policy," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1611, May.
• Mathias S. Kruttli, 2016, "From Which Consumption-Based Asset Pricing Models Can Investors Profit? Evidence from Model-Based Priors," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-027, Mar, DOI: 10.17016/FEDS.2016.027r1.
• Tobias Adrian & Daniel Stackman & Erik Vogt, 2016, "Global price of risk and stabilization policies," Staff Reports, Federal Reserve Bank of New York, number 786, Aug.
• Tobias Adrian & Agostino Capponi & Michael J. Fleming & Erik Vogt & Hongzhong Zhang, 2016, "Intraday market making with overnight inventory costs," Staff Reports, Federal Reserve Bank of New York, number 799, Oct.
• Francesco Calvori & Matteo Dentella & Giampiero M. Gallo, 2016, "Sovereign Debt Spreads within the Euro Area: When Fears Become Excess Fears," Econometrics Working Papers Archive, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", number 2016_03, Apr.
• Alexander E. Abramov & Alexander D. Radygin & Maria I. Chernova, 2016, "Equity vs. Bonds for Long-term Investors," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 26-44, June.
• Victor À. Gorelik & Tatiana V. Zolotova, 2016, "Formation of an Optimum Portfolio of Russian Companies with Probabilistic Risk Function," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 45-54, June.
• David Ardia & Lukasz T. Gatarek & Lennart Hoogerheide & Herman K. Van Dijk, 2016, "Return and Risk of Pairs Trading Using a Simulation-Based Bayesian Procedure for Predicting Stable Ratios of Stock Prices," Econometrics, MDPI, volume 4, issue 1, pages 1-19, March.
• Scaillet, Olivier & Trojani, Fabio & Camponovo, Lorenzo, 2016, "Comments on : Nonparametric Tail Risk, Stock Returns and the Macroeconomy," Working Papers, University of Geneva, Geneva School of Economics and Management, number unige:84999.
• Leoni Eleni Oikonomikou, 2016, "Forecasting the Market Risk Premium with Artificial Neural Networks," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers, Courant Research Centre PEG, number 202, Apr.
• Leoni Eleni Oikonomikou, 2016, "Comparing the market risk premia forecasts in JSE and NYSE equity markets," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers, Courant Research Centre PEG, number 203, Apr.
• Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016, "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers, The George Washington University, The Center for Economic Research, number 2016-002, Feb.
• Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016, "Are critical slowing down indicators useful to detect financial crises?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number halshs-01339815, Jan.
• Monica Billio & Lorenzo Frattarolo & Hayette Gatfaoui & Philippe de Peretti, 2016, "Clustering in Dynamic Causal Networks as a Measure of Systemic Risk on the Euro Zone," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number halshs-01339826, Sep.
• Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016, "Are Critical Slowing Down Indicators Useful to Detect Financial Crises?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number halshs-01505202, Nov, DOI: 10.2139/ssrn.2861258.
• Monica Billio & Lorenzo Frattarolo & Hayette Gatfaoui & Philippe de Peretti, 2016, "Clustering in Dynamic Causal Networks as a Measure of Systemic Risk on the Euro Zone," Post-Print, HAL, number halshs-01339826, Sep.
• Jean-Philippe Bouchaud & Philipp Krueger & Augustin Landier & David Thesmar, 2016, "Sticky Expectations and Stock Market Anomalies," Working Papers, HAL, number hal-01993418, Mar.
• Lunina, Veronika, 2016, "Joint Modelling of Power Price, Temperature, and Hydrological Balance with a View towards Scenario Analysis," Working Papers, Lund University, Department of Economics, number 2016:30, Nov.
• Valseth, Siri, 2016, "Informed trading in Hybrid Bond Markets," UiS Working Papers in Economics and Finance, University of Stavanger, number 2016/13, Nov.
• Alexander Porshnev & Valeria Lakshina & Ilya Redkin, 2016, "Could Emotional Markers in Twitter Posts Add Information to the Stock Market Armax-Garch Model," HSE Working papers, National Research University Higher School of Economics, number WP BRP 54/FE/2016.
• Yin-Wong Cheung & Cho-Hoi Hui & Andrew Tsang, 2016, "The Renminbi Central Parity: An Empirical Investigation," Working Papers, Hong Kong Institute for Monetary Research, number 102016, Jun.
• Ahmed Salhin & Mo Sherif & Edward Jones, 2016, "Investor Sentiment and Sector Returns," CFI Discussion Papers, Centre for Finance and Investment, Heriot Watt University, number 1602.
• Jeffry Haber, 2016, "Spliced Correlation: Theory Development," Global Journal of Business Research, The Institute for Business and Finance Research, volume 10, issue 1, pages 65-69.
• Jedediah Baker, 2016, "Forecasting Volume And Price Impact Of Earnings Surprises Using Google Insights," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, volume 10, issue 4, pages 53-62.
• Eduardo Sandoval & Macarena Soto, 2016, "Integrated Markets Of Latin American: A Cointegration Analysis, Mercado Integrado Latinoamericano: Un Analisis De Cointegracion," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, volume 9, issue 2, pages 1-17.
• Ozge KORKMAZ & Esref Savas BASCI & SuleymanSerdar KARACA, 2016, "Macroeconomic Variables Affecting Bist30 Index Value in Turkey," International Conference on Economic Sciences and Business Administration, Spiru Haret University, volume 3, issue 1, pages 201-207, October.
• De la Torre, Oscar & Galeana, Evaristo & Aguilasocho, Dora, 2016, "The Use Of The Sustainable Investment Against The Broad Market One. A First Test In The Mexican Stock Market / El Uso De La Inversión Sustentable En Comparación De La Inversión Convencional. Una Primera Revisión Para El Mercado De Valores Mexicano," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), volume 22, issue 3, pages 117-123.
• Hiroshi Fujiki & Charles M. Kahn, 2016, "Choice of Collateral Asset and the Cross-Border Effect of Automatic Stays," IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan, number 16-E-08, Jul.
• Yaniv Azoulay & Andrey Kudryavtsev & Shosh Shahrabani, 2016, "Accumulating approach to the life-cycle pension model: practical advantages," Financial Theory and Practice, Institute of Public Finance, volume 40, issue 4, pages 413-436.
• 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.
• Maria Cristina Recchioni & Gabriele Tedeschi, 2016, "From bond yield to macroeconomic instability: The effect of negative interest rates," Working Papers, Economics Department, Universitat Jaume I, Castellón (Spain), number 2016/06.
• Satish Sharma & Mikhail Shebalkov & Andrey Yukhanaev, 2016, "Evaluating banks performance using key financial indicators – a quantitative modeling of Russian banks," Journal of Developing Areas, Tennessee State University, College of Business, volume 50, issue 1, pages 425-453, January-M.
• Ikechukwu Kelikume, 2016, "New evidence from the efficient market hypothesis for the Nigerian stock index using the wavelet unit root test approach," Journal of Developing Areas, Tennessee State University, College of Business, volume 50, issue 5, pages 185-197, Special I.
• Chi Ming Wong & Lei Lam Olivia Ting, 2016, "A Quantile Regression Approach to the Multiple Period Value at Risk Estimation," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, volume 12, issue 1, pages 1-35, February.
• William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon & Liting Su, 2016, "The Credit-Card-Services Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 201604, Aug, revised Aug 2016.
• William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon & Liting Su, 2016, "Nowcasting Nominal GDP with the Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 201605, Aug, revised Aug 2016.
• William A. Barnett & Liting Su, 2016, "Risk Adjustment of the Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 201606, Aug, revised Aug 2016.
• Fariba Karimi & Matthias Raddant, 2016, "Cascades in Real Interbank Markets," Computational Economics, Springer;Society for Computational Economics, volume 47, issue 1, pages 49-66, January, DOI: 10.1007/s10614-014-9478-z.
• Kotaro Miwa & Kazuhiro Ueda, 2016, "Price distortion induced by a flawed stock market index," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 30, issue 2, pages 137-160, May, DOI: 10.1007/s11408-016-0269-5.

2015

• Mária Bohdalová & Michal Greguš, 2015, "Estimating Value-At-Risk Based On Non-Normal Distributions," CBU International Conference Proceedings, ISE Research Institute, volume 3, issue 0, pages 188-195, September, DOI: 10.12955/cbup.v3.601.
• Tim Bollerslev & Andrew J. Patton & Wenjing Wang, 2015, "Daily House Price Indices: Construction, Modeling, and Longer-Run Predictions," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2015-02, Jan.
• Daniela Osterrieder & Daniel Ventosa-Santaulària & J. Eduardo Vera-Valdés, 2015, "Unbalanced Regressions and the Predictive Equation," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2015-09, Jan.
• Henri Nyberg & Harri Pönkä, 2015, "International Sign Predictability of Stock Returns: The Role of the United States," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2015-20, May.
• Tommaso Proietti, 2015, "Exponential Smoothing, Long Memory and Volatility Prediction," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2015-51, Jun.
• Peter Christoffersen & Mathieu Fournier & Kris Jacobs & Mehdi Karoui, 2015, "Option-Based Estimation of the Price of Co-Skewness and Co-Kurtosis Risk," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2015-54, Nov.
• Hyeongwoo Kim & Wen Shi, 2015, "Forecasting Financial Market Vulnerability in the U.S.: A Factor Model Approach," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2015-04, Apr.
• Vuković, Bojana & Mijić, Kristina & Spahić, Nataša, 2015, "Concentration Of Tobacco Market: Evidence From Serbia," Economics of Agriculture, Institute of Agricultural Economics, volume 62, issue 2, pages 1-14, June, DOI: 10.22004/ag.econ.206924.
• Emilia VASILE & Iulia DAVID-SOBOLEVSCHI & Monica Aureliana PETCU & Ovidiu BUNGET, 2015, "Matrix Approach For Estimating The Effectiveness Of Ecological Behavior," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, volume 8, issue 8, pages 96-107, December.
• Edina Berlinger & György Walter, 2015, "Income Contingent Repayment Scheme for Non-Performing Mortgage Loans in Hungary," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 65, issue supplemen, pages 123-147, December.
• Gábor Kutasi, 2015, "Banking contagion under different exchange rate regimes in CEE," Society and Economy, Akadémiai Kiadó, Hungary, volume 37, issue 1, pages 109-127, March.
• Annarita COLASANTE & Antonio PALESTRINI & Alberto RUSSO & Mauro GALLEGATI, 2015, "Adaptive Expectations with Correction Bias: Evidence from the lab," Working Papers, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali, number 409, Jul.
• Jozef Barunik & Barbora Malinska, 2015, "Forecasting the term structure of crude oil futures prices with neural networks," Papers, arXiv.org, number 1504.04819, Apr.
• Conrad, Christian & Loch, Karin, 2015, "The Variance Risk Premium and Fundamental Uncertainty," Working Papers, University of Heidelberg, Department of Economics, number 0583, Feb.
• Juan Manuel Julio-Roman, 2015, "On the Stylized Facts of Nominal Exchange Rates in Brazil, Chile, Colombia, Mexico and Peru," Borradores de Economia, Banco de la Republica de Colombia, number 890, Jun, DOI: 10.32468/be.890.
• Zvika Afik & Ohad Arad & Koresh Galil, 2015, "Using Merton model: an empirical assessment of alternatives," Working Papers, Ben-Gurion University of the Negev, Department of Economics, number 1503.
• Neta Sher & Koresh Galil, 2015, "Predicting default more accurately: to proxy or not to proxy for default?," Working Papers, Ben-Gurion University of the Negev, Department of Economics, number 1505.
• Tao Chen & Erin Pik Ki So & Liang Wu & Isabel Kit Ming Yan, 2015, "The 2007–2008 U.S. Recession: What Did The Real-Time Google Trends Data Tell The United States?," Contemporary Economic Policy, Western Economic Association International, volume 33, issue 2, pages 395-403, April.