Research classified by Journal of Economic Literature (JEL) codes

2019

• Ioan-Bogdan ROBU & Costel ISTRATE & Ionut Viorel HERGHILIGIU, 2019, "The Use of Audit Opinion in Estimating the Financial Reporting Transparency Level," The Audit Financiar journal, Chamber of Financial Auditors of Romania, volume 17, issue 153, pages 1-79.
• Ioan-Bogdan ROBU & Ionut Viorel HERGHILIGIU & Bogdan BUDEANU & Sorin CHIRU, 2019, "Assessing Comparability of Accounting Information Using Panel Data Analysis," The Audit Financiar journal, Chamber of Financial Auditors of Romania, volume 17, issue 155, pages 441-441.
• Stefan-Cosmin DANILA & Ioan-Bogdan ROBU, 2019, "The Influence of Cryptocurrency Bitcoin over the Romanian Capital Market," The Audit Financiar journal, Chamber of Financial Auditors of Romania, volume 17, issue 155, pages 507-507.
• Josip Arneric & Mladen Mateljan, 2019, "The Analysis Of Interdependencies Between Capital Market And Cryptocurrency Market," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, volume 28, issue 2, pages 449-465, december.
• Seungmook Choi & Hongtao Yang, 2019, "Model-Free Implied Volatility under Jump-Diffusion Models," Review of Economics & Finance, Better Advances Press, Canada, volume 16, pages 1-14, May.
• Olena Tymchenko & Yuliia Sybirianska & Alla Abramova, 2019, "The Approach to Tax Debtors Segmentation," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 103-119.
• Hartl, Tobias & Weigand, Roland, 2019, "Multivariate Fractional Components Analysis," University of Regensburg Working Papers in Business, Economics and Management Information Systems, University of Regensburg, Department of Economics, number 38283.
• Kerem Tuzcuoglu, 2019, "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers, Bank of Canada, number 19-16, May, DOI: 10.34989/swp-2019-16.
• Jon Danielsson & Lerby Ergun & Laurens de Haan & Casper G. de Vries, 2019, "Tail Index Estimation: Quantile-Driven Threshold Selection," Staff Working Papers, Bank of Canada, number 19-28, Aug, DOI: 10.34989/swp-2019-28.
• Tina Kalayil & Somya Tyagi & Mahfuza Khatun & Sikandar Siddiqui, 2019, "A Risk-Sensitive Momentum Approach To Stock Selection," Economic Annals, Faculty of Economics and Business, University of Belgrade, volume 64, issue 220, pages 61-84, January –.
• Tom Fong & Gabriel Wu, 2019, "Predictability in sovereign bond returns using technical trading rule: do developed and emerging markets differ?," IFC Bulletins chapters, Bank for International Settlements, in: Bank for International Settlements, "The use of big data analytics and artificial intelligence in central banking".
• Stefan Avdjiev & Paolo Giudici & Alessandro Spelta, 2019, "Measuring contagion risk in international banking," BIS Working Papers, Bank for International Settlements, number 796, Jul.
• Pavković Ana & Anđelinović Mihovil & Pavković Ivan, 2019, "Achieving Portfolio Diversification through Cryptocurrencies in European Markets," Business Systems Research, Sciendo, volume 10, issue 2, pages 85-107, September, DOI: 10.2478/bsrj-2019-020.
• Senarathne Chamil W., 2019, "The Impact of Internet Information Flow Regarding ‘Innovation’ on Common Stock Returns: Volume vs Google Search Quarries," Management of Sustainable Development, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, volume 11, issue 1, pages 43-49, June.
• Oscar Eduardo Machicado Mendoza, 2019, "El efecto transmisión de los valores públicos con fines de regulación monetaria en las operaciones de ruedo de la Bolsa Boliviana de Valores," Serie de Documentos de Trabajo, Banco Central de Bolivia, number 2019/01, Jul.
• Agnieszka Borowska & Lennart Hoogerheide & Siem Jan Koopman & Herman K. van Dijk, 2019, "Partially Censored Posterior for robust and efficient risk evaluation," Working Paper, Norges Bank, number 2019/12, Aug.
• Joseph Noss & Rupal Patel, 2019, "Decomposing changes in the functioning of the sterling repo market," Bank of England working papers, Bank of England, number 797, May.
• François-Eric Racicot & William F. Rentz & Alfred Kahl & Olivier Mesly, 2019, "Examining the dynamics of illiquidity risks within the phases of the business cycle," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, volume 19, issue 2, pages 117-131, June.
• Tófoli Paula V. & Ziegelmann Flávio A. & Candido Osvaldo & Valls Pereira Pedro L., 2019, "Dynamic D-Vine Copula Model with Applications to Value-at-Risk (VaR)," Journal of Time Series Econometrics, De Gruyter, volume 11, issue 2, pages 1-34, July, DOI: 10.1515/jtse-2017-0016.
• Kahra Hannu & Martin Vance L. & Sarkar Saikat, 2019, "A nonlinear model of asset returns with multiple shocks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 23, issue 1, pages 1-44, February, DOI: 10.1515/snde-2017-0064.
• Li, Z. M. & Laeven, R. J. A. & Vellekoop, M. H., 2019, "Dependent Microstructure Noise and Integrated Volatility: Estimation from High-Frequency Data," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 1952, Jun.
• Wilson Donzwa & Rangan Gupta & Mark E. Wohar, 2019, "Volatility Spillovers between Interest Rates and Equity Markets of Developed Economies," Journal of Central Banking Theory and Practice, Central bank of Montenegro, volume 8, issue 3, pages 39-50.
• Bauwens, Luc & Xu, Yongdeng, 2019, "DCC and DECO-HEAVY: a multivariate GARCH model based on realized variances and correlations," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2019/5, Feb, revised Aug 2021.
• Guglielmo Maria Caporale & Luis A. Gil-Alana & Carlos Poza, 2019, "Persistence, non-linearities and structural breaks in European stock market indices," CESifo Working Paper Series, CESifo, number 7667.
• Jozef Baruník & Evžen Kocenda & Evžen Kočenda, 2019, "Total, Asymmetric and Frequency Connectedness Between Oil and Forex Markets," CESifo Working Paper Series, CESifo, number 7756.
• Guglielmo Maria Caporale & Luis A. Gil-Alana & Carlos Poza, 2019, "Cycles and Long-Range Behaviour in the European Stock Market," CESifo Working Paper Series, CESifo, number 7943.
• Guglielmo Maria Caporale & Menelaos Karanasos & Stavroula Yfanti, 2019, "Macro-Financial Linkages in the High-Frequency Domain: The Effects of Uncertainty on Realized Volatility," CESifo Working Paper Series, CESifo, number 8000.
• Scott M. R. Mahadeo & Reinhold Heinlein & Gabriella Deborah Legrenzi, 2019, "Contagion Testing in Embryonic Markets under Alternative Stressful US Market Scenarios," CESifo Working Paper Series, CESifo, number 8029.
• Piotr Orłowski & Andras Sali & Fabio Trojani, 2019, "Arbitrage Free Dispersion," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-20, Jan, revised Apr 2019.
• Piotr Orłowski & Paul Schneider & Fabio Trojani, 2019, "On the Nature of Jump Risk Premia," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-31, Jun, revised Jun 2019.
• Denisa Banulescu & Christophe Hurlin & Jeremy Leymarie & O. Scaillet, 2019, "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-48, Sep.
• Andrea Berardi & Alberto Plazzi, 2019, "Dissecting the Yield Curve: The International Evidence," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-73, Jun.
• Hans Buehler & Lukas Gonon & Josef Teichmann & Ben Wood & Baranidharan Mohan & Jonathan Kochems, 2019, "Deep Hedging: Hedging Derivatives Under Generic Market Frictions Using Reinforcement Learning," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-80, May.
• Anne-Laure Delatte & Pranav Garg & Jean Imbs, 2019, "The transmission channels of unconventional monetary policy: Evidence from a change in collateral requirements in France," Working Papers, CEPII research center, number 2019-07, May.
• Sang Hoon Kang & Jose Arreola Hernandez & Seong-Min Yoon, 2019, "Who leads the inflation cycle in Europe? Inflation cycle and spillover influence among Eurozone and non-Eurozone economies," International Economics, CEPII research center, issue 160, pages 56-71.
• Contessi, Silvio & De Pace, Pierangelo & Guidolin, Massimo, , "Mildly Explosive Dynamics in U.S. Fixed Income Markets," Economics Department, Working Paper Series, Economics Department, Pomona College, number 1001, revised 12 Feb 2020.
• Juan F. Rendón & Alfredo Trespalacios & Lina M. Cort�s & Hern�n D. Villada, 2019, "Modeling of electrical energy demand: beyond normality," Documentos de Trabajo de Valor Público, Universidad EAFIT, number 17306, Jun.
• BAUWENS Luc, & XU Yongdeng,, 2019, "DCC-HEAVY: A multivariate GARCH model based on realized variances and correlations," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2019025, Dec.
• Johnen, Johannes, 2020, "Dynamic Competition in Deceptive Markets," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 3098, Jan.
• Delatte, Anne-Laure & , & Imbs, Jean, 2019, "The transmission channels of unconventional monetary policy: Evidence from a change in collateral requirements in France," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13693, Apr.
• Tavares, José & Leitão, Diogo & Pereira, Jaime & Pereira Dos Santos, Joao, 2019, "The War Next Door and the Reds are Coming: The Spanish Civil War and the Portuguese Stock Market," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13990, Sep.
• Martin, Ian & Nagel, Stefan, 2019, "Market Efficiency in the Age of Big Data," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14235, Dec.
• Verena Monschang & Bernd Wilfling, 2019, "Sup-ADF-style bubble-detection methods under test," CQE Working Papers, Center for Quantitative Economics (CQE), University of Muenster, number 7819, Feb.
• Mawuli Segnon & Stelios Bekiros, 2019, "Forecasting Volatility in Cryptocurrency Markets," CQE Working Papers, Center for Quantitative Economics (CQE), University of Muenster, number 7919, Mar.
• Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2019, "Score-driven time series models with dynamic shape : an application to the Standard & Poor's 500 index," UC3M Working papers. Economics, Universidad Carlos III de Madrid. Departamento de Economía, number 28133, Jan.
• Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2019, "Maximum likelihood estimation of score-driven models with dynamic shape parameters : an application to Monte Carlo value-at-risk," UC3M Working papers. Economics, Universidad Carlos III de Madrid. Departamento de Economía, number 28638, Jul.
• Casas, Isabel & Lopes Moreira da Veiga, María Helena, 2019, "Exploring option pricing and hedging via volatility asymmetry," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number 28234, Mar.
• Yegnanew A. Shiferaw, 2019, "Multivariate Analysis of East African Currency Exchange Rate Dynamics," Annals of Economics and Finance, Society for AEF, volume 20, issue 2, pages 587-610, November.
• Barnett, William A. & Su, Liting, 2019, "Risk Adjustment Of The Credit-Card Augmented Divisia Monetary Aggregates," Macroeconomic Dynamics, Cambridge University Press, volume 23, issue S1, pages 90-114, September.
• Bachar FAKHRY, 2019, "Happy 20th birthday Euro: An integrated analysis of the stability status in the Eurozone’s equity markets," Journal of Economics and Political Economy, EconSciences Journals, volume 6, issue 3, pages 227-256, September.
• Bachar FAKHRY, 2019, "Did Brexit change the behaviour of the UK’s financial markets?," Journal of Economics and Political Economy, EconSciences Journals, volume 6, issue 2, pages 98-121, June.
• Ojea Ferreiro, Javier, 2019, "Disentangling the role of the exchange rate in oil-related scenarios for the European stock market," Working Paper Series, European Central Bank, number 2296, Jul.
• Yassin Eltahir & Hussien Omer Osman & Osama Azmi Sallam & Fethi Klabi, 2019, "Short Run and Long Run Relationships between Saudi Stocks," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 1, pages 193-196.
• Fatma Ben Moussa & Mariem Talbi, 2019, "Stock Market Reaction to Terrorist Attacks and Political Uncertainty: Empirical Evidence from the Tunisian Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 3, pages 48-64.
• Md Takibur Rahman, 2019, "Testing Trade-off and Pecking Order Theories of Capital Structure: Evidence and Arguments," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 5, pages 63-70.
• Tough Chinoda & Joseph Olorunfemi Akande, 2019, "Financial Inclusion, Mobile Phone Diffusion, and Economic Growth; Evidence from Africa," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 5, pages 104-110.
• Chukwu Agwu Ejem & Udochukwu Godfrey Ogbonna, 2019, "Modelling Dividend Policy and Firms' Value Relations in Nigeria," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 6, pages 171-176.
• Anthony Nyangarika & Alexey Mikhaylov & Ulf Henning Richter, 2019, "Influence Oil Price towards Macroeconomic Indicators in Russia," International Journal of Energy Economics and Policy, Econjournals, volume 9, issue 1, pages 123-129.
• Anthony Nyangarika & Alexey Mikhaylov & Ulf Henning Richter, 2019, "Oil Price Factors: Forecasting on the Base of Modified Auto-regressive Integrated Moving Average Model," International Journal of Energy Economics and Policy, Econjournals, volume 9, issue 1, pages 149-159.
• Nazim Hajiyev & Ali Rustamov, 2019, "How Oil Price Drops are Reflected by Imported Inflation in Azerbaijan?," International Journal of Energy Economics and Policy, Econjournals, volume 9, issue 2, pages 182-193.
• Onder Buberkoku, 2019, "Do Long-memory GARCH-type-Value-at-Risk Models Outperform None-and Semi-parametric Value-at-Risk Models?," International Journal of Energy Economics and Policy, Econjournals, volume 9, issue 2, pages 199-215.
• Zouheir Ahmed Mighri & Majid Ibrahim Alsaggaf, 2019, "Asymmetric Threshold Cointegration and Nonlinear Adjustment between Oil Prices and Financial Stress," International Journal of Energy Economics and Policy, Econjournals, volume 9, issue 3, pages 87-105.
• Jaehyung An & Alexey Mikhaylov & Nikita Moiseev, 2019, "Oil Price Predictors: Machine Learning Approach," International Journal of Energy Economics and Policy, Econjournals, volume 9, issue 5, pages 1-6.
• Lucheroni, Carlo & Boland, John & Ragno, Costantino, 2019, "Scenario generation and probabilistic forecasting analysis of spatio-temporal wind speed series with multivariate autoregressive volatility models," Applied Energy, Elsevier, volume 239, issue C, pages 1226-1241, DOI: 10.1016/j.apenergy.2019.02.015.
• Shanaev, Savva & Ghimire, Binam, 2019, "Is all politics local? Regional political risk in Russia and the panel of stock returns," Journal of Behavioral and Experimental Finance, Elsevier, volume 21, issue C, pages 70-82, DOI: 10.1016/j.jbef.2018.11.002.
• Paulin, James & Calinescu, Anisoara & Wooldridge, Michael, 2019, "Understanding flash crash contagion and systemic risk: A micro–macro agent-based approach," Journal of Economic Dynamics and Control, Elsevier, volume 100, issue C, pages 200-229, DOI: 10.1016/j.jedc.2018.12.008.
• Fiszeder, Piotr & Fałdziński, Marcin, 2019, "Improving forecasts with the co-range dynamic conditional correlation model," Journal of Economic Dynamics and Control, Elsevier, volume 108, issue C, DOI: 10.1016/j.jedc.2019.103736.
• Halkos, George E. & Tsirivis, Apostolos S., 2019, "Value-at-risk methodologies for effective energy portfolio risk management," Economic Analysis and Policy, Elsevier, volume 62, issue C, pages 197-212, DOI: 10.1016/j.eap.2019.03.002.
• Halkos, George E. & Tsirivis, Apostolos S., 2019, "Effective energy commodity risk management: Econometric modeling of price volatility," Economic Analysis and Policy, Elsevier, volume 63, issue C, pages 234-250, DOI: 10.1016/j.eap.2019.06.001.
• Hill, Jonathan B. & Motegi, Kaiji, 2019, "Testing the white noise hypothesis of stock returns," Economic Modelling, Elsevier, volume 76, issue C, pages 231-242, DOI: 10.1016/j.econmod.2018.08.003.
• Dong, Xiyong & Yoon, Seong-Min, 2019, "What global economic factors drive emerging Asian stock market returns? Evidence from a dynamic model averaging approach," Economic Modelling, Elsevier, volume 77, issue C, pages 204-215, DOI: 10.1016/j.econmod.2018.09.003.
• Racicot, François-Éric & Théoret, Raymond, 2019, "Hedge fund return higher moments over the business cycle," Economic Modelling, Elsevier, volume 78, issue C, pages 73-97, DOI: 10.1016/j.econmod.2018.08.016.
• Ahmed, Abdullahi D. & Huo, Rui, 2019, "Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence, information transmission and market co-movement," Economic Modelling, Elsevier, volume 79, issue C, pages 28-46, DOI: 10.1016/j.econmod.2018.09.029.
• Koubaa, Yosra & Slim, Skander, 2019, "The relationship between trading activity and stock market volatility: Does the volume threshold matter?," Economic Modelling, Elsevier, volume 82, issue C, pages 168-184, DOI: 10.1016/j.econmod.2019.01.003.
• Warshaw, Evan, 2019, "Extreme dependence and risk spillovers across north american equity markets," The North American Journal of Economics and Finance, Elsevier, volume 47, issue C, pages 237-251, DOI: 10.1016/j.najef.2018.12.012.
• Zorgati, Imen & Lakhal, Faten & Zaabi, Elmoez, 2019, "Financial contagion in the subprime crisis context: A copula approach," The North American Journal of Economics and Finance, Elsevier, volume 47, issue C, pages 269-282, DOI: 10.1016/j.najef.2018.11.014.
• Abdul Aziz, Nor Syahilla & Vrontos, Spyridon & M. Hasim, Haslifah, 2019, "Evaluation of multivariate GARCH models in an optimal asset allocation framework," The North American Journal of Economics and Finance, Elsevier, volume 47, issue C, pages 568-596, DOI: 10.1016/j.najef.2018.06.012.
• Bhuiyan, Rubaiyat Ahsan & Rahman, Maya Puspa & Saiti, Buerhan & Ghani, Gairuzazmi Bin Mat, 2019, "Does the Malaysian Sovereign sukuk market offer portfolio diversification opportunities for global fixed-income investors? Evidence from wavelet coherence and multivariate-GARCH analyses," The North American Journal of Economics and Finance, Elsevier, volume 47, issue C, pages 675-687, DOI: 10.1016/j.najef.2018.07.008.
• BenMim, Imen & BenSaïda, Ahmed, 2019, "Financial contagion across major stock markets: A study during crisis episodes," The North American Journal of Economics and Finance, Elsevier, volume 48, issue C, pages 187-201, DOI: 10.1016/j.najef.2019.02.005.
• Stona, Filipe & Caldeira, João F., 2019, "Do U.S. factors impact the Brazilian yield curve? Evidence from a dynamic factor model," The North American Journal of Economics and Finance, Elsevier, volume 48, issue C, pages 76-89, DOI: 10.1016/j.najef.2019.01.010.
• Yoon, Seong-Min & Al Mamun, Md & Uddin, Gazi Salah & Kang, Sang Hoon, 2019, "Network connectedness and net spillover between financial and commodity markets," The North American Journal of Economics and Finance, Elsevier, volume 48, issue C, pages 801-818, DOI: 10.1016/j.najef.2018.08.012.
• Al-Yahyaee, Khamis Hamed & Mensi, Walid & Al-Jarrah, Idries Mohammad Wanas & Hamdi, Atef & Kang, Sang Hoon, 2019, "Volatility forecasting, downside risk, and diversification benefits of Bitcoin and oil and international commodity markets: A comparative analysis with yellow metal," The North American Journal of Economics and Finance, Elsevier, volume 49, issue C, pages 104-120, DOI: 10.1016/j.najef.2019.04.001.
• Wang, Shengquan & Chen, Langnan, 2019, "Driving factors of equity bubbles," The North American Journal of Economics and Finance, Elsevier, volume 49, issue C, pages 304-317, DOI: 10.1016/j.najef.2019.04.014.
• Bruzda, Joanna, 2019, "Complex analytic wavelets in the measurement of macroeconomic risks," The North American Journal of Economics and Finance, Elsevier, volume 50, issue C, DOI: 10.1016/j.najef.2019.100988.
• Soylu, Pınar Kaya & Güloğlu, Bülent, 2019, "Financial contagion and flight to quality between emerging markets and U.S. bond market," The North American Journal of Economics and Finance, Elsevier, volume 50, issue C, DOI: 10.1016/j.najef.2019.100992.
• Balli, Faruk & de Bruin, Anne & Chowdhury, Md Iftekhar Hasan, 2019, "Spillovers and the determinants in Islamic equity markets," The North American Journal of Economics and Finance, Elsevier, volume 50, issue C, DOI: 10.1016/j.najef.2019.101040.
• Pelger, Markus, 2019, "Large-dimensional factor modeling based on high-frequency observations," Journal of Econometrics, Elsevier, volume 208, issue 1, pages 23-42, DOI: 10.1016/j.jeconom.2018.09.004.
• Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl & Okhrin, Yarema, 2019, "Tail event driven networks of SIFIs," Journal of Econometrics, Elsevier, volume 208, issue 1, pages 282-298, DOI: 10.1016/j.jeconom.2018.09.016.
• Chen, Yu & Wang, Zhicheng & Zhang, Zhengjun, 2019, "Mark to market value at risk," Journal of Econometrics, Elsevier, volume 208, issue 1, pages 299-321, DOI: 10.1016/j.jeconom.2018.09.017.
• Dai, Chaoxing & Lu, Kun & Xiu, Dacheng, 2019, "Knowing factors or factor loadings, or neither? Evaluating estimators of large covariance matrices with noisy and asynchronous data," Journal of Econometrics, Elsevier, volume 208, issue 1, pages 43-79, DOI: 10.1016/j.jeconom.2018.09.005.
• Kim, Donggyu & Fan, Jianqing, 2019, "Factor GARCH-Itô models for high-frequency data with application to large volatility matrix prediction," Journal of Econometrics, Elsevier, volume 208, issue 2, pages 395-417, DOI: 10.1016/j.jeconom.2018.10.003.
• Bailey, Natalia & Pesaran, M. Hashem & Smith, L. Vanessa, 2019, "A multiple testing approach to the regularisation of large sample correlation matrices," Journal of Econometrics, Elsevier, volume 208, issue 2, pages 507-534, DOI: 10.1016/j.jeconom.2018.10.006.
• Bibinger, Markus & Neely, Christopher & Winkelmann, Lars, 2019, "Estimation of the discontinuous leverage effect: Evidence from the NASDAQ order book," Journal of Econometrics, Elsevier, volume 209, issue 2, pages 158-184, DOI: 10.1016/j.jeconom.2019.01.001.
• Clinet, Simon & Potiron, Yoann, 2019, "Testing if the market microstructure noise is fully explained by the informational content of some variables from the limit order book," Journal of Econometrics, Elsevier, volume 209, issue 2, pages 289-337, DOI: 10.1016/j.jeconom.2019.01.004.
• Cerovecki, Clément & Francq, Christian & Hörmann, Siegfried & Zakoïan, Jean-Michel, 2019, "Functional GARCH models: The quasi-likelihood approach and its applications," Journal of Econometrics, Elsevier, volume 209, issue 2, pages 353-375, DOI: 10.1016/j.jeconom.2019.01.006.
• Bianchi, Daniele & Billio, Monica & Casarin, Roberto & Guidolin, Massimo, 2019, "Modeling systemic risk with Markov Switching Graphical SUR models," Journal of Econometrics, Elsevier, volume 210, issue 1, pages 58-74, DOI: 10.1016/j.jeconom.2018.11.005.
• Kastner, Gregor, 2019, "Sparse Bayesian time-varying covariance estimation in many dimensions," Journal of Econometrics, Elsevier, volume 210, issue 1, pages 98-115, DOI: 10.1016/j.jeconom.2018.11.007.
• Aït-Sahalia, Yacine & Xiu, Dacheng, 2019, "A Hausman test for the presence of market microstructure noise in high frequency data," Journal of Econometrics, Elsevier, volume 211, issue 1, pages 176-205, DOI: 10.1016/j.jeconom.2018.12.013.
• Patton, Andrew J. & Ziegel, Johanna F. & Chen, Rui, 2019, "Dynamic semiparametric models for expected shortfall (and Value-at-Risk)," Journal of Econometrics, Elsevier, volume 211, issue 2, pages 388-413, DOI: 10.1016/j.jeconom.2018.10.008.
• Bollerslev, Tim & Meddahi, Nour & Nyawa, Serge, 2019, "High-dimensional multivariate realized volatility estimation," Journal of Econometrics, Elsevier, volume 212, issue 1, pages 116-136, DOI: 10.1016/j.jeconom.2019.04.023.
• Hautsch, Nikolaus & Voigt, Stefan, 2019, "Large-scale portfolio allocation under transaction costs and model uncertainty," Journal of Econometrics, Elsevier, volume 212, issue 1, pages 221-240, DOI: 10.1016/j.jeconom.2019.04.028.
• Andreasen, Martin M. & Christensen, Jens H.E. & Rudebusch, Glenn D., 2019, "Term Structure Analysis with Big Data: One-Step Estimation Using Bond Prices," Journal of Econometrics, Elsevier, volume 212, issue 1, pages 26-46, DOI: 10.1016/j.jeconom.2019.04.019.
• Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2019, "A diagnostic criterion for approximate factor structure," Journal of Econometrics, Elsevier, volume 212, issue 2, pages 503-521, DOI: 10.1016/j.jeconom.2019.06.001.
• Giesecke, K. & Schwenkler, G., 2019, "Simulated likelihood estimators for discretely observed jump–diffusions," Journal of Econometrics, Elsevier, volume 213, issue 2, pages 297-320, DOI: 10.1016/j.jeconom.2019.01.015.
• Paolella, Marc S. & Polak, Paweł & Walker, Patrick S., 2019, "Regime switching dynamic correlations for asymmetric and fat-tailed conditional returns," Journal of Econometrics, Elsevier, volume 213, issue 2, pages 493-515, DOI: 10.1016/j.jeconom.2019.07.002.
• Sutton, Maxwell & Vasnev, Andrey L. & Gerlach, Richard, 2019, "Mixed interval realized variance: A robust estimator of stock price volatility," Econometrics and Statistics, Elsevier, volume 11, issue C, pages 43-62, DOI: 10.1016/j.ecosta.2018.06.001.
• Morana, Claudio, 2019, "Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices," Econometrics and Statistics, Elsevier, volume 12, issue C, pages 42-65, DOI: 10.1016/j.ecosta.2019.04.001.
• Wu, Fei & Zhang, Dayong & Zhang, Zhiwei, 2019, "Connectedness and risk spillovers in China’s stock market: A sectoral analysis," Economic Systems, Elsevier, volume 43, issue 3, DOI: 10.1016/j.ecosys.2019.100718.
• Díaz-Hernández, Adán & Constantinou, Nick, 2019, "A multiple regime extension to the Heston–Nandi GARCH(1,1) model," Journal of Empirical Finance, Elsevier, volume 53, issue C, pages 162-180, DOI: 10.1016/j.jempfin.2019.05.004.
• Panopoulou, Ekaterini & Souropanis, Ioannis, 2019, "The role of technical indicators in exchange rate forecasting," Journal of Empirical Finance, Elsevier, volume 53, issue C, pages 197-221, DOI: 10.1016/j.jempfin.2019.07.004.
• Golosnoy, Vasyl & Gribisch, Bastian & Seifert, Miriam Isabel, 2019, "Exponential smoothing of realized portfolio weights," Journal of Empirical Finance, Elsevier, volume 53, issue C, pages 222-237, DOI: 10.1016/j.jempfin.2019.07.006.
• Yang, Qiao, 2019, "Stock returns and real growth: A Bayesian nonparametric approach," Journal of Empirical Finance, Elsevier, volume 53, issue C, pages 53-69, DOI: 10.1016/j.jempfin.2019.06.005.
• Bonaccolto, Giovanni & Caporin, Massimiliano & Panzica, Roberto, 2019, "Estimation and model-based combination of causality networks among large US banks and insurance companies," Journal of Empirical Finance, Elsevier, volume 54, issue C, pages 1-21, DOI: 10.1016/j.jempfin.2019.08.008.
• Ji, Qiang & Liu, Bing-Yue & Fan, Ying, 2019, "Risk dependence of CoVaR and structural change between oil prices and exchange rates: A time-varying copula model," Energy Economics, Elsevier, volume 77, issue C, pages 80-92, DOI: 10.1016/j.eneco.2018.07.012.
• Müller, Gernot & Seibert, Armin, 2019, "Bayesian estimation of stable CARMA spot models for electricity prices," Energy Economics, Elsevier, volume 78, issue C, pages 267-277, DOI: 10.1016/j.eneco.2018.10.016.
• Christensen, Troels Sønderby & Pircalabu, Anca & Høg, Esben, 2019, "A seasonal copula mixture for hedging the clean spark spread with wind power futures," Energy Economics, Elsevier, volume 78, issue C, pages 64-80, DOI: 10.1016/j.eneco.2018.11.002.
• Cheng, Fangzheng & Li, Tian & Wei, Yi-ming & Fan, Tijun, 2019, "The VEC-NAR model for short-term forecasting of oil prices," Energy Economics, Elsevier, volume 78, issue C, pages 656-667, DOI: 10.1016/j.eneco.2017.12.035.
• Yun, Xiao & Yoon, Seong-Min, 2019, "Impact of oil price change on airline's stock price and volatility: Evidence from China and South Korea," Energy Economics, Elsevier, volume 78, issue C, pages 668-679, DOI: 10.1016/j.eneco.2018.09.015.
• Chen, Liyuan & Zerilli, Paola & Baum, Christopher F., 2019, "Leverage effects and stochastic volatility in spot oil returns: A Bayesian approach with VaR and CVaR applications," Energy Economics, Elsevier, volume 79, issue C, pages 111-129, DOI: 10.1016/j.eneco.2018.03.032.
• Gatfaoui, Hayette, 2019, "Diversifying portfolios of U.S. stocks with crude oil and natural gas: A regime-dependent optimization with several risk measures," Energy Economics, Elsevier, volume 80, issue C, pages 132-152, DOI: 10.1016/j.eneco.2018.12.013.
• Yahya, Muhammad & Oglend, Atle & Dahl, Roy Endré, 2019, "Temporal and spectral dependence between crude oil and agricultural commodities: A wavelet-based copula approach," Energy Economics, Elsevier, volume 80, issue C, pages 277-296, DOI: 10.1016/j.eneco.2019.01.011.
• Zhang, Yaojie & Wei, Yu & Zhang, Yi & Jin, Daxiang, 2019, "Forecasting oil price volatility: Forecast combination versus shrinkage method," Energy Economics, Elsevier, volume 80, issue C, pages 423-433, DOI: 10.1016/j.eneco.2019.01.010.
• Kostrzewski, Maciej & Kostrzewska, Jadwiga, 2019, "Probabilistic electricity price forecasting with Bayesian stochastic volatility models," Energy Economics, Elsevier, volume 80, issue C, pages 610-620, DOI: 10.1016/j.eneco.2019.02.004.
• Wang, TianTian & Zhang, Dayong & Clive Broadstock, David, 2019, "Financialization, fundamentals, and the time-varying determinants of US natural gas prices," Energy Economics, Elsevier, volume 80, issue C, pages 707-719, DOI: 10.1016/j.eneco.2019.01.026.
• Uddin, Gazi Salah & Rahman, Md Lutfur & Hedström, Axel & Ahmed, Ali, 2019, "Cross-quantilogram-based correlation and dependence between renewable energy stock and other asset classes," Energy Economics, Elsevier, volume 80, issue C, pages 743-759, DOI: 10.1016/j.eneco.2019.02.014.
• Mahadeo, Scott M.R. & Heinlein, Reinhold & Legrenzi, Gabriella D., 2019, "Energy contagion analysis: A new perspective with application to a small petroleum economy," Energy Economics, Elsevier, volume 80, issue C, pages 890-903, DOI: 10.1016/j.eneco.2019.02.007.
• Hassan, Kamrul & Hoque, Ariful & Gasbarro, Dominic, 2019, "Separating BRIC using Islamic stocks and crude oil: dynamic conditional correlation and volatility spillover analysis," Energy Economics, Elsevier, volume 80, issue C, pages 950-969, DOI: 10.1016/j.eneco.2019.02.016.
• Tiwari, Aviral Kumar & Trabelsi, Nader & Alqahtani, Faisal & Bachmeier, Lance, 2019, "Modelling systemic risk and dependence structure between the prices of crude oil and exchange rates in BRICS economies: Evidence using quantile coherency and NGCoVaR approaches," Energy Economics, Elsevier, volume 81, issue C, pages 1011-1028, DOI: 10.1016/j.eneco.2019.06.008.
• Zhang, Yaojie & Ma, Feng & Wei, Yu, 2019, "Out-of-sample prediction of the oil futures market volatility: A comparison of new and traditional combination approaches," Energy Economics, Elsevier, volume 81, issue C, pages 1109-1120, DOI: 10.1016/j.eneco.2019.05.018.
• Aromi, Daniel & Clements, Adam, 2019, "Spillovers between the oil sector and the S&P500: The impact of information flow about crude oil," Energy Economics, Elsevier, volume 81, issue C, pages 187-196, DOI: 10.1016/j.eneco.2019.03.018.
• Ma, Yan-Ran & Zhang, Dayong & Ji, Qiang & Pan, Jiaofeng, 2019, "Spillovers between oil and stock returns in the US energy sector: Does idiosyncratic information matter?," Energy Economics, Elsevier, volume 81, issue C, pages 536-544, DOI: 10.1016/j.eneco.2019.05.003.
• Liu, Jingzhen & Kemp, Alexander, 2019, "Forecasting the sign of U.S. oil and gas industry stock index excess returns employing macroeconomic variables," Energy Economics, Elsevier, volume 81, issue C, pages 672-686, DOI: 10.1016/j.eneco.2019.04.023.
• Chang, Chia-Lin & Liu, Chia-Ping & McAleer, Michael, 2019, "Volatility spillovers for spot, futures, and ETF prices in agriculture and energy," Energy Economics, Elsevier, volume 81, issue C, pages 779-792, DOI: 10.1016/j.eneco.2019.04.017.
• Wa̧torek, Marcin & Drożdż, Stanisław & Oświȩcimka, Paweł & Stanuszek, Marek, 2019, "Multifractal cross-correlations between the world oil and other financial markets in 2012–2017," Energy Economics, Elsevier, volume 81, issue C, pages 874-885, DOI: 10.1016/j.eneco.2019.05.015.
• Tiwari, Aviral Kumar & Trabelsi, Nader & Alqahtani, Faisal & Hammoudeh, Shawkat, 2019, "Analysing systemic risk and time-frequency quantile dependence between crude oil prices and BRICS equity markets indices: A new look," Energy Economics, Elsevier, volume 83, issue C, pages 445-466, DOI: 10.1016/j.eneco.2019.07.014.
• Kocaarslan, Baris & Soytas, Ugur, 2019, "Dynamic correlations between oil prices and the stock prices of clean energy and technology firms: The role of reserve currency (US dollar)," Energy Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.eneco.2019.104502.
• Bouoiyour, Jamal & Selmi, Refk & Hammoudeh, Shawkat & Wohar, Mark E., 2019, "What are the categories of geopolitical risks that could drive oil prices higher? Acts or threats?," Energy Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.eneco.2019.104523.
• Caloia, Francesco Giuseppe & Cipollini, Andrea & Muzzioli, Silvia, 2019, "How do normalization schemes affect net spillovers? A replication of the Diebold and Yilmaz (2012) study," Energy Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.eneco.2019.104536.
• Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019, "Exploring the time-frequency connectedness and network among crude oil and agriculture commodities V1," Energy Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.eneco.2019.104543.
• Gozgor, Giray & Tiwari, Aviral Kumar & Khraief, Naceur & Shahbaz, Muhammad, 2019, "Dependence structure between business cycles and CO2 emissions in the U.S.: Evidence from the time-varying Markov-Switching Copula models," Energy, Elsevier, volume 188, issue C, DOI: 10.1016/j.energy.2019.115995.
• Skintzi, Vasiliki D., 2019, "Determinants of stock-bond market comovement in the Eurozone under model uncertainty," International Review of Financial Analysis, Elsevier, volume 61, issue C, pages 20-28, DOI: 10.1016/j.irfa.2018.12.005.
• Zhang, Yaojie & Wei, Yu & Ma, Feng & Yi, Yongsheng, 2019, "Economic constraints and stock return predictability: A new approach," International Review of Financial Analysis, Elsevier, volume 63, issue C, pages 1-9, DOI: 10.1016/j.irfa.2019.02.007.
• Dias, Rui & da Silva, Jacinto Vidigal & Dionísio, Andreia, 2019, "Financial markets of the LAC region: Does the crisis influence the financial integration?," International Review of Financial Analysis, Elsevier, volume 63, issue C, pages 160-173, DOI: 10.1016/j.irfa.2019.02.008.
• Sakemoto, Ryuta, 2019, "Currency carry trades and the conditional factor model," International Review of Financial Analysis, Elsevier, volume 63, issue C, pages 198-208, DOI: 10.1016/j.irfa.2019.03.007.
• Kumar, Satish & Tiwari, Aviral Kumar & Chauhan, Yogesh & Ji, Qiang, 2019, "Dependence structure between the BRICS foreign exchange and stock markets using the dependence-switching copula approach," International Review of Financial Analysis, Elsevier, volume 63, issue C, pages 273-284, DOI: 10.1016/j.irfa.2018.12.011.
• Yin, Anwen, 2019, "Out-of-sample equity premium prediction in the presence of structural breaks," International Review of Financial Analysis, Elsevier, volume 65, issue C, DOI: 10.1016/j.irfa.2019.101385.
• Focardi, Sergio M. & Fabozzi, Frank J. & Mazza, Davide, 2019, "Modeling local trends with regime shifting models with time-varying probabilities," International Review of Financial Analysis, Elsevier, volume 66, issue C, DOI: 10.1016/j.irfa.2019.06.007.
• Orlowski, Lucjan T. & Soper, Carolyne, 2019, "Market risk and market-implied inflation expectations," International Review of Financial Analysis, Elsevier, volume 66, issue C, DOI: 10.1016/j.irfa.2019.101389.
• Chang, Chia-Lin & McAleer, Michael, 2019, "The fiction of full BEKK: Pricing fossil fuels and carbon emissions," Finance Research Letters, Elsevier, volume 28, issue C, pages 11-19, DOI: 10.1016/j.frl.2018.03.008.
• Hodoshima, Jiro & Yamawake, Toshiyuki, 2019, "Comparison of utility indifference pricing and mean-variance approach under a normal mixture distribution with time-varying volatility," Finance Research Letters, Elsevier, volume 28, issue C, pages 74-81, DOI: 10.1016/j.frl.2018.04.006.
• Mensi, Walid & Shahzad, Syed Jawad Hussain & Hammoudeh, Shawkat & Hkiri, Besma & Hamed Al Yahyaee, Khamis, 2019, "Long-run relationships between US financial credit markets and risk factors: Evidence from the quantile ARDL approach," Finance Research Letters, Elsevier, volume 29, issue C, pages 101-110, DOI: 10.1016/j.frl.2019.03.007.
• Mensi, Walid & Al-Yahyaee, Khamis Hamed & Kang, Sang Hoon, 2019, "Structural breaks and double long memory of cryptocurrency prices: A comparative analysis from Bitcoin and Ethereum," Finance Research Letters, Elsevier, volume 29, issue C, pages 222-230, DOI: 10.1016/j.frl.2018.07.011.
• Cagli, Efe Caglar, 2019, "Explosive behavior in the prices of Bitcoin and altcoins," Finance Research Letters, Elsevier, volume 29, issue C, pages 398-403, DOI: 10.1016/j.frl.2018.09.007.
• Będowska-Sójka, Barbara & Kliber, Agata, 2019, "The causality between liquidity and volatility in the Polish stock market," Finance Research Letters, Elsevier, volume 30, issue C, pages 110-115, DOI: 10.1016/j.frl.2019.04.008.
• Shi, Baofeng & Zhao, Xue & Wu, Bi & Dong, Yizhe, 2019, "Credit rating and microfinance lending decisions based on loss given default (LGD)," Finance Research Letters, Elsevier, volume 30, issue C, pages 124-129, DOI: 10.1016/j.frl.2019.03.033.
• Troster, Victor & Tiwari, Aviral Kumar & Shahbaz, Muhammad & Macedo, Demian Nicolás, 2019, "Bitcoin returns and risk: A general GARCH and GAS analysis," Finance Research Letters, Elsevier, volume 30, issue C, pages 187-193, DOI: 10.1016/j.frl.2018.09.014.
• Lei, Likun & Shang, Yue & Chen, Yongfei & Wei, Yu, 2019, "Does the financial crisis change the economic risk perception of crude oil traders? A MIDAS quantile regression approach," Finance Research Letters, Elsevier, volume 30, issue C, pages 341-351, DOI: 10.1016/j.frl.2018.10.016.
• Mensi, Walid & Lee, Yun-Jung & Al-Yahyaee, Khamis Hamed & Sensoy, Ahmet & Yoon, Seong-Min, 2019, "Intraday downward/upward multifractality and long memory in Bitcoin and Ethereum markets: An asymmetric multifractal detrended fluctuation analysis," Finance Research Letters, Elsevier, volume 31, issue C, pages 19-25, DOI: 10.1016/j.frl.2019.03.029.
• Kurka, Josef, 2019, "Do cryptocurrencies and traditional asset classes influence each other?," Finance Research Letters, Elsevier, volume 31, issue C, pages 38-46, DOI: 10.1016/j.frl.2019.04.018.
• S., Glogger & S., Heiden & D., Schneller, 2019, "Bearing the bear: Sentiment-based disagreement in multi-criteria portfolio optimization," Finance Research Letters, Elsevier, volume 31, issue C, pages 47-53, DOI: 10.1016/j.frl.2019.04.017.
• Greenwood-Nimmo, Matthew & Huang, Jingong & Nguyen, Viet Hoang, 2019, "Financial sector bailouts, sovereign bailouts, and the transfer of credit risk," Journal of Financial Markets, Elsevier, volume 42, issue C, pages 121-142, DOI: 10.1016/j.finmar.2018.11.001.
• BenSaïda, Ahmed, 2019, "Good and bad volatility spillovers: An asymmetric connectedness," Journal of Financial Markets, Elsevier, volume 43, issue C, pages 78-95, DOI: 10.1016/j.finmar.2018.12.005.
• Kapetanios, George & Konstantinidi, Eirini & Neumann, Michael & Skiadopoulos, George, 2019, "Jumps in option prices and their determinants: Real-time evidence from the E-mini S&P 500 options market," Journal of Financial Markets, Elsevier, volume 46, issue C, DOI: 10.1016/j.finmar.2019.100506.
• Będowska-Sójka, Barbara, 2019, "The dynamics of low-frequency liquidity measures: The developed versus the emerging market," Journal of Financial Stability, Elsevier, volume 42, issue C, pages 136-142, DOI: 10.1016/j.jfs.2019.05.006.
• Avdjiev, S. & Giudici, P. & Spelta, A., 2019, "Measuring contagion risk in international banking," Journal of Financial Stability, Elsevier, volume 42, issue C, pages 36-51, DOI: 10.1016/j.jfs.2019.05.014.
• Kang, Sang Hoon & Arreola Hernandez, Jose & Yoon, Seong-Min, 2019, "Who leads the inflation cycle in Europe? Inflation cycle and spillover influence among Eurozone and non-Eurozone economies," International Economics, Elsevier, volume 160, issue C, pages 56-71, DOI: 10.1016/j.inteco.2019.10.001.
• Khademalomoom, Siroos & Narayan, Paresh Kumar, 2019, "Intraday effects of the currency market," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 58, issue C, pages 65-77, DOI: 10.1016/j.intfin.2018.09.008.
• Dungey, Mardi & Harvey, John & Volkov, Vladimir, 2019, "The changing international network of sovereign debt and financial institutions," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 60, issue C, pages 149-168, DOI: 10.1016/j.intfin.2018.12.013.
• Harris, Richard D.F. & Nguyen, Linh H. & Stoja, Evarist, 2019, "Systematic extreme downside risk," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 61, issue C, pages 128-142, DOI: 10.1016/j.intfin.2019.02.007.
• Walther, Thomas & Klein, Tony & Bouri, Elie, 2019, "Exogenous drivers of Bitcoin and Cryptocurrency volatility – A mixed data sampling approach to forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 63, issue C, DOI: 10.1016/j.intfin.2019.101133.
• Buse, Rebekka & Schienle, Melanie, 2019, "Measuring connectedness of euro area sovereign risk," International Journal of Forecasting, Elsevier, volume 35, issue 1, pages 25-44, DOI: 10.1016/j.ijforecast.2018.07.010.
• Frazier, David T. & Maneesoonthorn, Worapree & Martin, Gael M. & McCabe, Brendan P.M., 2019, "Approximate Bayesian forecasting," International Journal of Forecasting, Elsevier, volume 35, issue 2, pages 521-539, DOI: 10.1016/j.ijforecast.2018.08.003.
• Naimoli, Antonio & Storti, Giuseppe, 2019, "Heterogeneous component multiplicative error models for forecasting trading volumes," International Journal of Forecasting, Elsevier, volume 35, issue 4, pages 1332-1355, DOI: 10.1016/j.ijforecast.2019.06.002.
• Pysarenko, Sergiy & Alexeev, Vitali & Tapon, Francis, 2019, "Predictive blends: Fundamental Indexing meets Markowitz," Journal of Banking & Finance, Elsevier, volume 100, issue C, pages 28-42, DOI: 10.1016/j.jbankfin.2018.12.016.
• Thiele, Stephen, 2019, "Detecting underestimates of risk in VaR models," Journal of Banking & Finance, Elsevier, volume 101, issue C, pages 12-20, DOI: 10.1016/j.jbankfin.2019.01.018.
• Buccioli, Alice & Kokholm, Thomas & Nicolosi, Marco, 2019, "Expected shortfall and portfolio management in contagious markets," Journal of Banking & Finance, Elsevier, volume 102, issue C, pages 100-115, DOI: 10.1016/j.jbankfin.2019.03.003.
• Morelli, Giacomo & Santucci de Magistris, Paolo, 2019, "Volatility tail risk under fractionality," Journal of Banking & Finance, Elsevier, volume 108, issue C, DOI: 10.1016/j.jbankfin.2019.105654.
• Zareei, Abalfazl, 2019, "Network origins of portfolio risk," Journal of Banking & Finance, Elsevier, volume 109, issue C, DOI: 10.1016/j.jbankfin.2019.105663.
• Lee, Hwang Hee & Hyun, Jung-Soon, 2019, "The asymmetric effect of equity volatility on credit default swap spreads," Journal of Banking & Finance, Elsevier, volume 98, issue C, pages 125-136, DOI: 10.1016/j.jbankfin.2018.11.001.
• Barletta, Andrea & Santucci de Magistris, Paolo & Violante, Francesco, 2019, "A non-structural investigation of VIX risk neutral density," Journal of Banking & Finance, Elsevier, volume 99, issue C, pages 1-20, DOI: 10.1016/j.jbankfin.2018.11.012.
• Bardgett, Chris & Gourier, Elise & Leippold, Markus, 2019, "Inferring volatility dynamics and risk premia from the S&P 500 and VIX markets," Journal of Financial Economics, Elsevier, volume 131, issue 3, pages 593-618, DOI: 10.1016/j.jfineco.2018.09.008.
• Huang, Darien & Kilic, Mete, 2019, "Gold, platinum, and expected stock returns," Journal of Financial Economics, Elsevier, volume 132, issue 3, pages 50-75, DOI: 10.1016/j.jfineco.2018.11.004.
• Segal, Gill, 2019, "A tale of two volatilities: Sectoral uncertainty, growth, and asset prices," Journal of Financial Economics, Elsevier, volume 134, issue 1, pages 110-140, DOI: 10.1016/j.jfineco.2019.03.002.
• Apergis, Nicholas & Christou, Christina & Kynigakis, Iason, 2019, "Contagion across US and European financial markets: Evidence from the CDS markets," Journal of International Money and Finance, Elsevier, volume 96, issue C, pages 1-12, DOI: 10.1016/j.jimonfin.2019.04.006.
• Byrne, Joseph P. & Ibrahim, Boulis Maher & Sakemoto, Ryuta, 2019, "Carry trades and commodity risk factors," Journal of International Money and Finance, Elsevier, volume 96, issue C, pages 121-129, DOI: 10.1016/j.jimonfin.2019.04.004.
• Cronin, David & Dunne, Peter G., 2019, "How effective are sovereign bond-backed securities as a spillover prevention device?," Journal of International Money and Finance, Elsevier, volume 96, issue C, pages 49-66, DOI: 10.1016/j.jimonfin.2019.05.001.
• Gronwald, Marc, 2019, "Is Bitcoin a Commodity? On price jumps, demand shocks, and certainty of supply," Journal of International Money and Finance, Elsevier, volume 97, issue C, pages 86-92, DOI: 10.1016/j.jimonfin.2019.06.006.
• Belcaid, Karim & El Ghini, Ahmed, 2019, "U.S., European, Chinese economic policy uncertainty and Moroccan stock market volatility," The Journal of Economic Asymmetries, Elsevier, volume 20, issue C, DOI: 10.1016/j.jeca.2019.e00128.
• Polat, Onur & Ozkan, Ibrahim, 2019, "Transmission mechanisms of financial stress into economic activity in Turkey," Journal of Policy Modeling, Elsevier, volume 41, issue 2, pages 395-415, DOI: 10.1016/j.jpolmod.2019.02.010.
• Škare, Marinko & Mošnja-Škare, Lorena, 2019, "Economic policy implications of the Gibson Law in the Netherlands (1800–2012)," Journal of Policy Modeling, Elsevier, volume 41, issue 5, pages 926-942, DOI: 10.1016/j.jpolmod.2019.04.001.
• Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019, "Time-frequency co-movements between the largest nonferrous metal futures markets," Resources Policy, Elsevier, volume 61, issue C, pages 393-398, DOI: 10.1016/j.resourpol.2017.12.010.
• Hoang, Thi-Hong-Van & Zhu, Zhenzhen & El Khamlichi, Abdelbari & Wong, Wing-Keung, 2019, "Does the Shari’ah screening impact the gold-stock nexus? A sectorial analysis," Resources Policy, Elsevier, volume 61, issue C, pages 617-626, DOI: 10.1016/j.resourpol.2018.10.002.
• Troster, Victor & Bouri, Elie & Roubaud, David, 2019, "A quantile regression analysis of flights-to-safety with implied volatilities," Resources Policy, Elsevier, volume 62, issue C, pages 482-495, DOI: 10.1016/j.resourpol.2018.10.004.
• Hernandez, Jose Areola & Shahzad, Syed Jawad Hussain & Uddin, Gazi Salah & Kang, Sang Hoon, 2019, "Can agricultural and precious metal commodities diversify and hedge extreme downside and upside oil market risk? An extreme quantile approach," Resources Policy, Elsevier, volume 62, issue C, pages 588-601, DOI: 10.1016/j.resourpol.2018.11.007.
• Al-Yahyaee, Khamis Hamed & Mensi, Walid & Maitra, Debasish & Al-Jarrah, Idries Mohammad Wanas, 2019, "Portfolio management and dependencies among precious metal markets: Evidence from a Copula quantile-on-quantile approach," Resources Policy, Elsevier, volume 64, issue C, DOI: 10.1016/j.resourpol.2019.101529.