Research classified by Journal of Economic Literature (JEL) codes

2016

• 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 Prime," 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.
• Hideyuki Takamizawa, 2015, "Predicting Interest Rate Volatility Using Information on the Yield Curve," International Review of Finance, International Review of Finance Ltd., volume 15, issue 3, pages 347-386, September.
• MOROSAN Adrian, 2015, "Some Points Of View Regarding The Definitions Of The Concepts Of Explanation, Understanding And Causality In The Social Sciences," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, volume 67, issue 1, pages 130-136, February.
• BALTES Nicolae & DRAGOE Alexandra-Gabriela-Maria, 2015, "Study Regarding The Markowitz Model Of Portfolio Selection," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, volume 67, issue Supplemen, pages 195-206, September.
• Michael Chin & Christopher Polk, 2015, "A forecast evaluation of expected equity return measures," Bank of England working papers, Bank of England, number 520, Jan.
• Hyeongwoo Kim & Hyun Hak Kim & Wen Shi, 2015, "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Working Papers, Economic Research Institute, Bank of Korea, number 2015-30, Dec.
• Reis Pedro Nogueira & Augusto Mário Gomes, 2015, "What Is a Firm’s Life Expectancy? Empirical Evidence in the Context of Portuguese Companies," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, volume 10, issue 1, pages 45-75, January, DOI: 10.1515/jbvela-2014-0003.
• Grossmass Lidan & Poon Ser-Huang, 2015, "Estimating dynamic copula dependence using intraday data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 19, issue 4, pages 501-529, September, DOI: 10.1515/snde-2013-0123.
• Fernanda Maria Muller & Fábio Mariano Bayer, 2015, "Numerical evaluation of likelihood inferences in Beta-t-Skew-EGARCH models," Brazilian Review of Finance, Brazilian Society of Finance, volume 13, issue 1, pages 40-73.
• Paulo Rogério Faustino Matos & Wandermon Silva & Felipe Silva, 2015, "Do Brazilian mutual stock fund managers have sufficient skill?," Brazilian Review of Finance, Brazilian Society of Finance, volume 13, issue 2, pages 325-366.
• Melquiades Pereira Lima & Vinicio de Souza Almeida, 2015, "Sell-side analysts make good predictions in Brazil?," Brazilian Review of Finance, Brazilian Society of Finance, volume 13, issue 3, pages 365-393.
• Paulo Ferreira Naibert & João Caldeira, 2015, "Selection of optimal portfolios under norm constraints in the allocation vectors: an empirical evaluation with data from BM&FBovespa," Brazilian Review of Finance, Brazilian Society of Finance, volume 13, issue 3, pages 504-543.
• Guilherme Demos & Thomas Pires & Guilherme Valle Moura, 2015, "Portfolio Optimisation and Endogenous Rebalancing Methods," Brazilian Review of Finance, Brazilian Society of Finance, volume 13, issue 4, pages 544-570.
• Silvester Van Koten, 2015, "Forward Premia in Electricity Markets: Two Caveats," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp543, Jun.
• Taisei KAIZOJI & Matthias LEISS & Alexander I. SAICHEV & Didier SORNETTE, 2015, "Super-Exponential Endogenous Bubbles in an Equilibrium Model of Fundamentalist and Chartist Traders," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 15-07, Feb.
• Marc S. PAOLELLA & Pawel POLAK, 2015, "Portfolio Selection with Active Risk Monitoring," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 15-17, Jun.
• Diego ARDILA-ALVAREZ & Zalàn FORRÒ & Didier SORNETTE, 2015, "The Acceleration Effect and Gamma Factor in Asset Pricing," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 15-30, Aug.
• Didier Sornette & Guilherme Demos & Qun Zhang & Peter Cauwels & Vladimir Filimonov & Qunzhi Zhang, 2015, "Real-Time Prediction and Post-Mortem Analysis of the Shanghai 2015 Stock Market Bubble and Crash," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 15-31, Aug.
• Didier SORNETTE & Guilherme DEMOS & Zhang QUN & Peter CAUWELS & Vladimir FILIMONOV & Qunzhi ZHANG, 2015, "Real-Time Prediction and Post-Mortem Analysis of the Shanghai 2015 Stock Market Bubble and Crash," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 15-32, Aug.
• Qun ZHANG & Qunzhi ZHANG & Didier SORNETTE, 2015, "Early Warning Signals of Financial Crises with Multi-Scale Quantile Regressions of Log-Periodic Power Law Singularities," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 15-43, Oct.
• Eric JONDEAU & Qunzi ZHANG, 2015, "Average Skewness Matters!," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 15-47, Nov.
• Marco LISSANDRIN & Donnacha DALY & Didier SORNETTE, 2015, "Statistical Testing of DeMark Technical Indicators on Commodity Futures," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 15-56, Nov.
• Guilherme DEMOS & Qunzhi ZHANG & Didier SORNETTE, 2015, "Birth or Burst of Financial Bubbles: Which One is Easier to Diagnose?," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 15-57, Dec.
• Federico M. Bandi & Benoit Perron & Andrea Tamoni & Claudio Tebaldi, 2015, "The scale of predictability," CIRANO Working Papers, CIRANO, number 2015s-21, May.
• Benoît Carmichael & Jean Armand Gnagne & Kevin Moran, 2015, "Securities Transactions Taxes and Financial Crises," CIRANO Working Papers, CIRANO, number 2015s-23, Jun.
• Cristina CIUMAȘ & Diana-Maria CHIȘ, 2015, "Modelling The Guarantee Liability Under Unit-Linked Contracts," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 7, pages 165-170, April.
• Diana MURESAN, 2015, "The Mishkin Test: An Analysis Of Model Extensions," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 7, pages 393-400, April.
• Gustavo Peralta, 2015, "Network-based Measures as Leading Indicators of Market Instability: The case of the Spanish Stock," CNMV Working Papers, CNMV- Spanish Securities Markets Commission - Research and Statistics Department, number CNMV Working Papers no 59.
• 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, number 13015, Jun.
• Gabriel Moreno, 2015, "Leverage, Risk and Regulatory Capital in Latin American Banks," Coyuntura Económica, Fedesarrollo, volume 45, issue 1, pages 91-130.
• Peter B. Dixon & James. A. Giesecke & Maureen T. Rimmer, 2015, "Superannuation within a financial CGE model of the Australian economy," Centre of Policy Studies/IMPACT Centre Working Papers, Victoria University, Centre of Policy Studies/IMPACT Centre, number g-253, Jul.
• Agnieszka Kapecka, 2015, "Comparative analysis of mature and emerging markets\' stock market indices using Hurst exponents," Acta Universitatis Nicolai Copernici, Ekonomia, Uniwersytet Mikolaja Kopernika, volume 46, issue 1, pages 59-75.
• Ewa Ratuszny, 2015, "Risk Modeling of Commodities using CAViaR Models, the Encompassing Method and the Combined Forecasts," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, volume 15, pages 129-156.
• Lettau, Martin & Ludvigson, Sydney & Greenwald, Dan, 2015, "Origins of Stock Market Fluctuations," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 10336, Jan.
• Wolff, Christian & Bams, Dennis & Pisa, Magdalena, 2015, "Credit risk characteristics of US small business portfolios," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 10889, Oct.
• Wolff, Christian & Bams, Dennis & Pisa, Magdalena, 2015, "Ripple effects from industry defaults," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 10891, Oct.
• Manuel A. Zambrano-Monserrate & Daniel A. Sanchez-Loor, 2015, "Factores determinantes del salario del sector privado en el Ecuador para el año 2014: un caso de estudio en la ciudad de Guayaquil," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, volume 38, issue 108, pages 139-151, Septiembr.
• David Chinarro & Eduardo Martínez & Simón J. Sosvilla, 2015, "Analysis of the evolution of sovereign bond yields by wavelet techniques," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, volume 38, issue 108, pages 152-162, Septiembr.
• Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015, "Investor Sentiment Aligned: A Powerful Predictor of Stock Returns," CEMA Working Papers, China Economics and Management Academy, Central University of Finance and Economics, number 676.
• Kutasi, Gábor, 2015, "Banking Contagion under Different Exchange Rate Regimes in CEE," Corvinus Economics Working Papers (CEWP), Corvinus University of Budapest, number 2015/11.
• Alper Veli AM, 2015, "Notes on the2015 Finance Symposium," Journal of Economics Library, EconSciences Journals, volume 2, issue 4, pages 378-379, December.
• Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun, 2015, "Long-Term Price Overreactions: Are Markets Inefficient?," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1444.
• Dooruj Rambaccussing, 2015, "Revisiting Shiller’s excess volatility hypothesis," Dundee Discussion Papers in Economics, Economic Studies, University of Dundee, number 287, Feb.
• Dooruj McRambaccussing, 2015, "Moment Matching in the Present Value identity, and a New Model," Dundee Discussion Papers in Economics, Economic Studies, University of Dundee, number 291, Oct.
• Kutluk KaÄŸan SÃœMER, 2015, "Effectiveness of technical analysis indicators over stock return: A Panel Data Approach," Eurasian Eononometrics, Statistics and Emprical Economics Journal, Eurasian Academy Of Sciences, volume 1, issue 1, pages 43-56, February, DOI: 10.17740/eas.stat.2015.V1-04.
• Dacorogna, Michel & Kratz, Marie, 2015, "Living in a Stochastic World and Managing Complex Risks," ESSEC Working Papers, ESSEC Research Center, ESSEC Business School, number WP1517, Oct.
• Hartmann, Philipp, 2015, "Real estate markets and macroprudential policy in Europe," Working Paper Series, European Central Bank, number 1796, May.
• Golez, Benjamin & Koudijs, Peter, 2015, "Four Centuries of Return Predictability," Research Papers, Stanford University, Graduate School of Business, number 3259, Jan.
• Fatih B. GUMUS & Yusuf DAYIOGLU, 2015, "An Analysis on The Socio-Economic and Demographic Factors That Have an Effect on The Risk Taking Preferences of Personal Investors," International Journal of Economics and Financial Issues, Econjournals, volume 5, issue 1, pages 136-147.
• Alaaeddin Al-Tarawneh & Mohmmad Khataybeh, 2015, "Portfolio Behaviour of Commercial Banks: The Expected Utility Approach: Evidence from Jordan," International Journal of Economics and Financial Issues, Econjournals, volume 5, issue 2, pages 312-323.
• Fethi Belhaj & Ezzeddine Abaoub, 2015, "A Generalized Autoregressive Conditional Heteroskedasticity Examination of the Relationship between Trading Volume and Conditional Volatility in the Tunisian Stock Market: Evidence for the Information," International Journal of Economics and Financial Issues, Econjournals, volume 5, issue 2, pages 354-364.
• Abdulkadir Abdulrashid Rafindadi, 2015, "Are the Contentious Issues of Exchange Rate Misalignment in Nigeria a Prelude to the Country's Currency Crisis?," International Journal of Economics and Financial Issues, Econjournals, volume 5, issue 3, pages 716-731.
• Greg Ekpung Edame & Okoiarikpo Benjamin Okoi, 2015, "Fiscal Deficits and Economic Growth in Nigeria: A Chow Test Approach," International Journal of Economics and Financial Issues, Econjournals, volume 5, issue 3, pages 748-752.
• P. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015, "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," SIRE Discussion Papers, Scottish Institute for Research in Economics (SIRE), number 2015-71.
• Becchetti, Leonardo & Ciciretti, Rocco & Hasan, Iftekhar, 2015, "Corporate social responsibility, stakeholder risk, and idiosyncratic volatility," Journal of Corporate Finance, Elsevier, volume 35, issue C, pages 297-309, DOI: 10.1016/j.jcorpfin.2015.09.007.
• Aymanns, Christoph & Farmer, J. Doyne, 2015, "The dynamics of the leverage cycle," Journal of Economic Dynamics and Control, Elsevier, volume 50, issue C, pages 155-179, DOI: 10.1016/j.jedc.2014.09.015.
• Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2015, "A calibration procedure for analyzing stock price dynamics in an agent-based framework," Journal of Economic Dynamics and Control, Elsevier, volume 60, issue C, pages 1-25, DOI: 10.1016/j.jedc.2015.08.003.