Research classified by Journal of Economic Literature (JEL) codes

2022

• Charfeddine, Lanouar & Benlagha, Noureddine & Khediri, Karim Ben, 2022, "An intra-cryptocurrency analysis of volatility connectedness and its determinants: Evidence from mining coins, non-mining coins and tokens," Research in International Business and Finance, Elsevier, volume 62, issue C, DOI: 10.1016/j.ribaf.2022.101699.
• Aloui, Riadh & Ben Jabeur, Sami & Mefteh-Wali, Salma, 2022, "Tail-risk spillovers from China to G7 stock market returns during the COVID-19 outbreak: A market and sectoral analysis," Research in International Business and Finance, Elsevier, volume 62, issue C, DOI: 10.1016/j.ribaf.2022.101709.
• BRIK, Hatem & El OUAKDI, Jihene & FTITI, Zied, 2022, "Roles of stable versus nonstable cryptocurrencies in Bitcoin market dynamics," Research in International Business and Finance, Elsevier, volume 62, issue C, DOI: 10.1016/j.ribaf.2022.101720.
• Su, Yuandong & Lu, Xinjie & Zeng, Qing & Huang, Dengshi, 2022, "Good air quality and stock market returns," Research in International Business and Finance, Elsevier, volume 62, issue C, DOI: 10.1016/j.ribaf.2022.101723.
• Wang, Ping & Han, Wei & Huang, Chengcheng & Duong, Duy, 2022, "Forecasting realised volatility from search volume and overnight sentiment: Evidence from China," Research in International Business and Finance, Elsevier, volume 62, issue C, DOI: 10.1016/j.ribaf.2022.101734.
• Tripathy, Naliniprava, 2022, "Long memory and volatility persistence across BRICS stock markets," Research in International Business and Finance, Elsevier, volume 63, issue C, DOI: 10.1016/j.ribaf.2022.101782.
• Giannellis, Nikolaos, 2022, "Cryptocurrency market connectedness in Covid-19 days and the role of Twitter: Evidence from a smooth transition regression model," Research in International Business and Finance, Elsevier, volume 63, issue C, DOI: 10.1016/j.ribaf.2022.101801.
• Naimoli, Antonio, 2022, "Modelling the persistence of Covid-19 positivity rate in Italy," Socio-Economic Planning Sciences, Elsevier, volume 82, issue PA, DOI: 10.1016/j.seps.2022.101225.
• Wang, Yizhi & Lucey, Brian M. & Vigne, Samuel A. & Yarovaya, Larisa, 2022, "The Effects of Central Bank Digital Currencies News on Financial Markets," Technological Forecasting and Social Change, Elsevier, volume 180, issue C, DOI: 10.1016/j.techfore.2022.121715.
• Bouteska, Ahmed & Mefteh-Wali, Salma & Dang, Trung, 2022, "Predictive power of investor sentiment for Bitcoin returns: Evidence from COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, volume 184, issue C, DOI: 10.1016/j.techfore.2022.121999.
• Edson Z. Monte & Lucas B. Defanti, 2022, "Dynamic Interdependence and Volatility Transmission from the American to the Brazilian Stock Market," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 65, issue 1, pages 52-73.
• Mangal Goswami & Victor Pontines & Yassier Mohammed, 2022, "Portfolio Capital Flows and the US Dollar Exchange Rate: Viewed from the Lens of Time and Frequency Dynamics of Connectedness ," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2022-72, Nov.
• Ender Baykut & Ercan Özen, 2022, "An Assessment of the Borsa Istanbul Insurance Index Return Structure: The Markov Regime Switching Model," Contemporary Studies in Economic and Financial Analysis, Emerald Group Publishing Limited, "Managing Risk and Decision Making in Times of Economic Distress, Part B", DOI: 10.1108/S1569-37592022000108B042.
• Syed Mabruk Billah & Thi Thu Ha Nguyen & Md Iftekhar Hasan Chowdhury, 2022, "Sukuk and bond dynamics in relation to exchange rate," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, volume 16, issue 3, pages 621-646, December, DOI: 10.1108/IMEFM-01-2022-0024.
• Taufik Faturohman & Rashifa Qanita Noviandy, 2022, "An Empirical Analysis of Firm-specific Determinants of Capital Structure Before and During COVID-19 Pandemic: Evidence from Listed Hotels, Restaurants, and Tourism Entities on the Indonesia Stock Exch," International Symposia in Economic Theory and Econometrics, Emerald Group Publishing Limited, "Quantitative Analysis of Social and Financial Market Development", DOI: 10.1108/S1571-038620220000030008.
• Emon Kalyan Chowdhury, 2022, "Strategic approach to analyze the effect of Covid-19 on the stock market volatility and uncertainty: a first and second wave perspective," Journal of Capital Markets Studies, Emerald Group Publishing Limited, volume 6, issue 3, pages 225-241, October, DOI: 10.1108/JCMS-05-2022-0015.
• Theodoros Daglis, 2022, "The dynamic relationship of cryptocurrencies with supply chain and logistics stocks – the impact of COVID-19," Journal of Economic Studies, Emerald Group Publishing Limited, volume 50, issue 4, pages 840-857, July, DOI: 10.1108/JES-03-2022-0190.
• Emna Mnif & Bassem Salhi & Khaireddine Mouakha & Anis Jarboui, 2022, "Investor behavior and cryptocurrency market bubbles during the COVID-19 pandemic," Review of Behavioral Finance, Emerald Group Publishing Limited, volume 14, issue 4, pages 491-507, June, DOI: 10.1108/RBF-09-2021-0190.
• Muhammad Yasir & A. Özlem Önder, 2022, "Time-varying herding spillover for emerging countries: evidence from BRIC countries and Turkey," Review of Behavioral Finance, Emerald Group Publishing Limited, volume 15, issue 5, pages 709-728, April, DOI: 10.1108/RBF-10-2021-0218.
• Lars Tegtmeier, 2022, "Modeling the volatilities of globally listed private equity markets," Studies in Economics and Finance, Emerald Group Publishing Limited, volume 40, issue 1, pages 64-85, March, DOI: 10.1108/SEF-04-2021-0129.
• Mohsin Ali & Mudeer Ahmed Khattak & Shabeer Khan & Noureen Khan, 2022, "COVID-19 and the ASEAN stock market: a wavelet analysis of conventional and Islamic equity indices," Studies in Economics and Finance, Emerald Group Publishing Limited, volume 40, issue 4, pages 687-707, October, DOI: 10.1108/SEF-10-2021-0457.
• Matin Keramiyan & Korhan K. Gokmenoglu, 2022, "Bitcoin, uncertainty and internet searches," Studies in Economics and Finance, Emerald Group Publishing Limited, volume 40, issue 1, pages 24-42, June, DOI: 10.1108/SEF-12-2021-0536.
• Desta Bati Nuno, 2022, "Analysis of the Causal Relationship between Precious Metal Prices and Inflation: Evidence from Ethiopia," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), volume 0, issue 1, pages 77-88.
• Adam Kucera & Evzen Kocenda & Ales Marsal, 2022, "Yield Curve Dynamics and Fiscal Policy Shocks," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2022/04, Apr, revised Apr 2022.
• Vojtech Misak, 2022, "Crime and weather. Evidence from the Czech Republic," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2022/09, May, revised May 2022.
• Jan Sila & Michael Mark & Ladislav Kristoufek, 2022, "On Empirical Challenges in Forecasting Market Betas in Crypto Markets," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2022/19, Aug, revised Aug 2022.
• Sophio Togonidze & Evzen Kocenda, 2022, "Macroeconomic Implications of Oil-Price Shocks to Emerging Economies: A Markov Regime-Switching Approach," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2022/21, Sep, revised Sep 2022.
• Nina Boyarchenko & Richard K. Crump & Anna Kovner & Or Shachar, 2022, "What Is Corporate Bond Market Distress?," Liberty Street Economics, Federal Reserve Bank of New York, number 20220629, Jun.
• Federico Bassetti & Roberto Casarin & Marco Del Negro, 2022, "A Bayesian Approach to Inference on Probabilistic Surveys," Staff Reports, Federal Reserve Bank of New York, number 1025, Jul.
• William Diamond & Peter Van Tassel, 2022, "Risk-Free Rates and Convenience Yields Around the World," Staff Reports, Federal Reserve Bank of New York, number 1032, Sep.
• Jian Kang & Johan Stax Jakobsen & Annastiina Silvennoinen & Timo Teräsvirta & Glen Wade, 2022, "A Parsimonious Test of Constancy of a Positive Definite Correlation Matrix in a Multivariate Time-Varying GARCH Model," Econometrics, MDPI, volume 10, issue 3, pages 1-41, August.
• Daniel Felix Ahelegbey, 2022, "Statistical Modelling of Downside Risk Spillovers," FinTech, MDPI, volume 1, issue 2, pages 1-10, April.
• Lumengo Bonga-Bonga & Sefora Motena Rangoanana, 2022, "Carry Trade and Capital Market Returns in South Africa," JRFM, MDPI, volume 15, issue 11, pages 1-13, October.
• Dean Fantazzini, 2022, "Crypto-Coins and Credit Risk: Modelling and Forecasting Their Probability of Death," JRFM, MDPI, volume 15, issue 7, pages 1-34, July.

2021

• Aviral Kumar Tiwari & Micheal Kofi Boachie & Rangan Gupta, 2021, "Network Analysis of Economic and Financial Uncertainties in Advanced Economies: Evidence from Graph-Theory," Advances in Decision Sciences, Asia University, Taiwan, volume 25, issue 1, pages 188-215, March.
• Satyaban Sahoo & Sanjay Kumar, 2021, "Existence of Cointegration between the Public and Private Bank Index: Evidence from Indian Capital Market," Advances in Decision Sciences, Asia University, Taiwan, volume 25, issue 4, pages 152-172, December.
• Stefano Grassi & Francesco Violante, 2021, "Asset Pricing Using Block-Cholesky GARCH and Time-Varying Betas," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2021-05, Mar.
• Bent Jesper Christensen & Mads Markvart Kjær & Bezirgen Veliyev, 2021, "The incremental information in the yield curve about future interest rate risk," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2021-11, Jul.
• Anthony D. Hall & Annastiina Silvennoinen & Timo Teräsvirta, 2021, "Four Australian Banks and the Multivariate Time-Varying Smooth Transition Correlation GARCH model," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2021-13, Sep.
• Caner Özdurak, 2021, "Conditional Correlations and Volatility Spillovers Between Crude Oil Price, Tüpraş, and Enerjisa Stock Returns: A Proposal for Constructing an Ultimate BIST Energy Index," Journal of Finance Letters (Maliye ve Finans Yazıları), Maliye ve Finans Yazıları Yayıncılık Ltd. Şti., volume 36, issue Special2, pages 15-32, January, DOI: https://doi.org/10.33203/mfy.844802.
• Claude Diebolt & Mohamed Chikhi, 2021, "Testing The Weak Form Efficiency Of The French Etf Market With Lstar-Anlstgarch Approach Using A Semiparametric Estimation," Working Papers, Association Française de Cliométrie (AFC), number 09-21.
• Nigel E.N. Chitambo & Darren Lee & Sure Mataramvura, 2021, "A Hybrid Neural Network GARCH Approach to Forecasting Zimbabwean Inflation Volatility," The African Finance Journal, Africagrowth Institute, volume 23, issue 1, pages 56-73.
• Charles Raoul Tchuinkam Djemo & John Weirstrass Muteba Mwamba & Mathias Mandla Manguzvane, 2021, "Exchange Rate Risk and International Equity Portfolio Diversification: A South African Investor’s Perspective," The African Finance Journal, Africagrowth Institute, volume 23, issue 2, pages 36-49.
• Mehmet Songur, 2021, "A Review On The Relationship Between Oil Prices And Stock Prices In Turkey: New Evidences From Fourier Approach," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 6, issue 1, pages 101-111, DOI: 10.30784/epfad.809222.
• Abdulkadir Kaya & İkram Yusuf Yarbaşı, 2021, "Forecasting of Volatility in Stock Exchange Markets by MS-GARCH Approach: An Application of Borsa Istanbul," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 6, issue 1, pages 16-35, DOI: 10.30784/epfad.740815.
• Ahmet Galip Gençyürek & Ramazan Ekinci, 2021, "Temiz Enerji Sektörü, Teknoloji Sektörü ve Ham Petrol Arasındaki Yayılım İlişkisi," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 6, issue 1, pages 60-81, DOI: 10.30784/epfad.798974.
• Abdullah Açık & Özhan Okutucu & Kamil Özden Efes & Sadık Özlen Başer, 2021, "Analyzing the Impact of Interest Rate on Dry Bulk Freight Market with Time-Varying Causality Method," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 6, issue 2, pages 403-417, DOI: 10.30784/epfad.798092.
• Sümeyra Gazel, 2021, "Twitter Bazlı Belirsizlik Endeksi Kripto Paraların Volatilitesini Etkiler mi?," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 6, issue SI, pages 207-224, DOI: 10.30784/epfad.1024421.
• Candelon, Bertrand & Moura, Rubens, 2021, "A Multicountry Model of the Term Structures of Interest Rates with a GVAR," LIDAM Discussion Papers LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2021007, Aug.
• Aloy, Marcel & Laly, Floris & Laurent, Sébastien & Lecourt, Christelle, 2021, "Modeling Time-Varying Conditional Betas. A Comparison of Methods with Application for REITs," LIDAM Reprints LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2021021, Jan, DOI: https://doi.org/10.1007/978-3-030-5.
• Metin Tetik, 2021, "Comparison of News Impacts on Sectoral Stock Returns during the COVID-19 Pandemic in Turkey," World Journal of Applied Economics, WERI-World Economic Research Institute, volume 7, issue 2, pages 35-46, December, DOI: 10.22440/wjae.7.2.1.
• Onur Polat, 2021, "Time-Varying Network Connectedness of G-7 Economic Policy Uncertainties: A Locally Stationary TVP-VAR Approach," World Journal of Applied Economics, WERI-World Economic Research Institute, volume 7, issue 2, pages 47-59, December, DOI: 10.22440/wjae.7.2.2.
• Jianqing Fan & Kunpeng Li & Yuan Liao, 2021, "Recent Developments in Factor Models and Applications in Econometric Learning," Annual Review of Financial Economics, Annual Reviews, volume 13, issue 1, pages 401-430, November, DOI: 10.1146/annurev-financial-091420-01.
• Stephan von Cramon-Taubadel & Barry K. Goodwin, 2021, "Price Transmission in Agricultural Markets," Annual Review of Resource Economics, Annual Reviews, volume 13, issue 1, pages 65-84, October, DOI: 10.1146/annurev-resource-100518-093.
• Lars Peter Hansen, 2021, "Uncertainty Spillovers for Markets and Policy," Annual Review of Economics, Annual Reviews, volume 13, issue 1, pages 371-396, August, DOI: 10.1146/annurev-economics-082020-05.
• Billio Monica & Casarin Roberto & Costola Michele & Iacopini Matteo, 2021, "COVID-19 spreading in financial networks: A semiparametric matrix regression model," Papers, arXiv.org, number 2101.00422, Jan.
• Souhir Ben Amor & Michael Althof & Wolfgang Karl Hardle, 2021, "FRM Financial Risk Meter for Emerging Markets," Papers, arXiv.org, number 2102.05398, Feb.
• Hui Chen & Antoine Didisheim & Simon Scheidegger, 2021, "Deep Structural Estimation: With an Application to Option Pricing," Papers, arXiv.org, number 2102.09209, Feb.
• David T. Frazier & Ruben Loaiza-Maya & Gael M. Martin & Bonsoo Koo, 2021, "Loss-Based Variational Bayes Prediction," Papers, arXiv.org, number 2104.14054, Apr, revised May 2022.
• Michele Costola & Matteo Iacopini & Carlo R. M. A. Santagiustina, 2021, "On the "mementum" of Meme Stocks," Papers, arXiv.org, number 2106.03691, Jun.
• Mikkel Bennedsen & Asger Lunde & Neil Shephard & Almut E. D. Veraart, 2021, "Inference and forecasting for continuous-time integer-valued trawl processes," Papers, arXiv.org, number 2107.03674, Jul, revised Feb 2023.
• Thomas Conlon & John Cotter & Iason Kynigakis, 2021, "Machine Learning and Factor-Based Portfolio Optimization," Papers, arXiv.org, number 2107.13866, Jul.
• Antoine Djogbenou & Christian Gouri'eroux & Joann Jasiak & Maygol Bandehali, 2021, "Composite Likelihood for Stochastic Migration Model with Unobserved Factor," Papers, arXiv.org, number 2109.09043, Sep, revised Nov 2023.
• Pietro Saggese & Alessandro Belmonte & Nicola Dimitri & Angelo Facchini & Rainer Bohme, 2021, "Who are the arbitrageurs? Empirical evidence from Bitcoin traders in the Mt. Gox exchange platform," Papers, arXiv.org, number 2109.10958, Sep.
• Peter Reinhard Hansen & Chan Kim & Wade Kimbrough, 2021, "Periodicity in Cryptocurrency Volatility and Liquidity," Papers, arXiv.org, number 2109.12142, Sep, revised Nov 2021.
• Minseog Oh & Donggyu Kim, 2021, "Effect of the U.S.--China Trade War on Stock Markets: A Financial Contagion Perspective," Papers, arXiv.org, number 2111.09655, Nov.
• Giacomo Toscano & Giulia Livieri & Maria Elvira Mancino & Stefano Marmi, 2021, "Volatility of volatility estimation: central limit theorems for the Fourier transform estimator and empirical study of the daily time series stylized facts," Papers, arXiv.org, number 2112.14529, Dec, revised Sep 2022.
• Bastanzad, Hossein & Davoudi, Pedram, 2021, "The Impact of Macro Systematic Shocks on the Non-Performing Loans: Multivariate Stochastic Volatility Model (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی Ùˆ بودجه), Institute for Management and Planning studies, volume 26, issue 3, pages 49-74, December.
• Milian Bachem & Lerby Ergun & Casper de Vries, 2021, "Covariates Hiding in the Tails," Staff Working Papers, Bank of Canada, number 21-45, Sep, DOI: 10.34989/swp-2021-45.
• Andrea Carolina Vargas-Páez & Carlos David Ardila-Dueñas, 2021, "Efecto del riesgo de tipo de cambio en la rentabilidad de los bonos soberanos en Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 1165, Aug, DOI: 10.32468/be.1165.
• Joseph Chukwudi Odionye & Jude Okechukwu Chukwu, 2021, "The Asymmetric Effects Of Currency Devaluation In Selected Sub-Saharan Africa," Economic Annals, Faculty of Economics and Business, University of Belgrade, volume 66, issue 230, pages 135-156, July – Se.
• Lukas Boeckelmann & Arthur Stalla-Bourdillon, 2021, "Structural Estimation of Time-Varying Spillovers: An Application to International Credit Risk Transmission," Working papers, Banque de France, number 798.
• Ethem Kılıç, 2021, "DCC-GARCH ile Altında Spot Fiyat, Vadeli Fiyat ve Risk Iliskisi," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, volume 5, issue SpecialIs, pages 55-68, December, DOI: https://doi.org/10.33399/biibfad.10.
• Roman Tikhonov & Aleksey Masyutin & Vadim Anpilogov, 2021, "The Relationship Between the Financial Performance of Banks and the Quality of Credit Scoring Models," Russian Journal of Money and Finance, Bank of Russia, volume 80, issue 2, pages 76-95, June, DOI: 10.31477/rjmf.202102.76.
• Matthew Greenwood‐Nimmo & Viet Hoang Nguyen & Eliza Wu, 2021, "On the International Spillover Effects of Country‐Specific Financial Sector Bailouts and Sovereign Risk Shocks," The Economic Record, The Economic Society of Australia, volume 97, issue 317, pages 285-309, June, DOI: 10.1111/1475-4932.12580.
• Anibal Emiliano Da Silva Neto & Jesús Gonzalo & Jean‐Yves Pitarakis, 2021, "Uncovering Regimes in Out of Sample Forecast Errors from Predictive Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 83, issue 3, pages 713-741, June, DOI: 10.1111/obes.12418.
• SPEIAN Olesea, 2021, "Financial Inclusion In The Republic Of Moldova: Recent Impacts And Evidence," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, volume 73, issue Special, pages 290-300, December.
• David Esteban Zeballos Coria, 2021, "Vulnerabilidad financiera: Propuesta para la estimación de un Índice de Condiciones Financieras para Bolivia," Revista de Análisis del BCB, Banco Central de Bolivia, volume 34, issue 1, pages 9-32, January -.
• Iryna Kaminska & Haroon Mumtaz & Roman Sustek, 2021, "Monetary policy surprises and their transmission through term premia and expected interest rates," Bank of England working papers, Bank of England, number 914, Mar.
• Kawakatsu Hiroyuki, 2021, "Simple Multivariate Conditional Covariance Dynamics Using Hyperbolically Weighted Moving Averages," Journal of Econometric Methods, De Gruyter, volume 10, issue 1, pages 33-52, January, DOI: 10.1515/jem-2020-0004.
• Chen Jo-Hui & Diaz John Francis T., 2021, "Application of grey relational analysis and artificial neural networks on currency exchange-traded notes (ETNs)," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 25, issue 2, pages 1-17, April, DOI: 10.1515/snde-2015-0088.
• Manner Hans & Stark Florian & Wied Dominik, 2021, "A monitoring procedure for detecting structural breaks in factor copula models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 25, issue 4, pages 171-192, September, DOI: 10.1515/snde-2019-0081.
• Donfack Morvan Nongni & Dufays Arnaud, 2021, "Modeling time-varying parameters using artificial neural networks: a GARCH illustration," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 25, issue 5, pages 311-343, December, DOI: 10.1515/snde-2019-0091.
• Palumbo, D., 2021, "Testing and Modelling Time Series with Time Varying Tails," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2111, Jan.
• Ding, Y., 2021, "Augmented Real-Time GARCH: A Joint Model for Returns, Volatility and Volatility of Volatility," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2112, Feb.
• Ding, Y., 2021, "Conditional Heteroskedasticity in the Volatility of Asset Returns," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2179, Nov.
• Ding, Y., 2021, "Conditional Heteroskedasticity in the Volatility of Asset Returns," Janeway Institute Working Papers, Faculty of Economics, University of Cambridge, number 2111, Nov.
• Carlos Castro-Iragorri & Juan Felipe Peña & Cristhian Rodríguez, 2021, "A Segmented and Observable Yield Curve for Colombia," Journal of Central Banking Theory and Practice, Central bank of Montenegro, volume 10, issue 2, pages 179-200.
• Vesna Karadžić & Nikola Đalović, 2021, "Profitability Determinants of Big European Banks," Journal of Central Banking Theory and Practice, Central bank of Montenegro, volume 10, issue 2, pages 39-56.
• Stanislav Anatolyev & Vladimir Pyrlik, 2021, "Shrinkage for Gaussian and t Copulas in Ultra-High Dimensions," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp699, Aug.
• Guglielmo Maria Caporale & Abdurrahman Nazif Catik & Gül Serife Huyugüzel Kisla & Mohamad Husam Helmi & Coskun Akdeniz, 2021, "Oil Prices, Exchange Rates and Sectoral Stock Returns in the BRICS-T Countries: A Time-Varying Approach," CESifo Working Paper Series, CESifo, number 9322.
• Václav Brož & Evžen Kocenda & Evžen Kočenda, 2021, "Mortgage-Related Bank Penalties and Systemic Risk among U.S. Banks," CESifo Working Paper Series, CESifo, number 9463.
• Gaetan Bakalli & Stéphane Guerrier & Olivier Scaillet, 2021, "A penalized two-pass regression to predict stock returns with time-varying risk premia," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-09, Jan.
• Pawel Polak & Urban Ulrych, 2021, "Dynamic Currency Hedging with Ambiguity," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-60, Aug.
• Blanka Horvath & Josef Teichmann & Zan Zuric, 2021, "Deep Hedging under Rough Volatility," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-88, Feb.
• Bryan T. Kelly & Semyon Malamud & Kangying Zhou, 2021, "The Virtue of Complexity in Machine Learning Portfolios," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-90, Dec.
• Damir Filipović & Amir Khalilzadeh, 2021, "Machine Learning for Predicting Stock Return Volatility," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-95, Dec.
• Antonio Díaz & Carlos Esparcia, 2021, "Dynamic optimal portfolio choice under time-varying risk aversion," International Economics, CEPII research center, issue 166, pages 1-22.
• C Castro-Iragorri & J RamÔøΩrez, 2021, "Forecasting Dynamic Term Structure Models with Autoencoders," Documentos de Trabajo, Universidad del Rosario, number 19431, Jul.
• Magnolia Sosa Castro & Christian Bucio Pacheco & H�ctor Eduardo D�az Rodr�guez, 2021, "Extreme Volatility Dependence in Exchange Rate," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, volume 40, issue 82, pages 25-55.
• Magnolia Miriam Sosa Castro & Christian Bucio Pacheco & Edgar Ortiz Calisto, 2021, "Dynamic Stock Dependence and Monetary Variables in the United States (2000-2016): A Copula and Neural Network Approach," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue No. 96, pages 201-234.
• Michael Demmler & Amilcar Orlian Fern�ndez Dom�nguez, 2021, "Bitcoin and the South Sea Company: A comparative analysis," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, volume 13, issue 1, pages 197-224.
• Giglio, Stefano & Dew-Becker, Ian, 2021, "Cross-sectional uncertainty and the business cycle: evidence from 40 years of options data," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 16306, Jun.
• Giglio, Stefano & Xiu, Dacheng & Zhang, Dake, 2021, "Test Assets and Weak Factors," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 16307, Jun.
• Stefano Grassi & Francesco Violante, 2021, "Asset Pricing Using Block-Cholesky GARCH and Time-Varying Betas," Working Papers, Center for Research in Economics and Statistics, number 2021-05, Mar.
• Zea Bermudez, Patrícia de & Marín Díazaraque, Juan Miguel & Rue, Havard & Lopes Moreira da Veiga, María Helena, 2021, "Integrated nested Laplace approximations for threshold stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number 31804, Jan.
• Ying Liao & Cuixia Li & Lei Jiang & Liang Peng, 2021, "Quantifying Diseconomies Of Scale For Mutual Funds," Annals of Economics and Finance, Society for AEF, volume 22, issue 1, pages 1-24, May.
• Aknouche, Abdelhakim & Francq, Christian, 2021, "Count And Duration Time Series With Equal Conditional Stochastic And Mean Orders," Econometric Theory, Cambridge University Press, volume 37, issue 2, pages 248-280, April.
• Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur, 2021, "Combining negative rates, forward guidance and asset purchases: identification and impacts of the ECB’s unconventional policies," Working Paper Series, European Central Bank, number 2564, Jun.
• Carbone, Sante & Giuzio, Margherita & Kapadia, Sujit & Krämer, Johannes Sebastian & Nyholm, Ken & Vozian, Katia, 2021, "The low-carbon transition, climate commitments and firm credit risk," Working Paper Series, European Central Bank, number 2631, Dec.
• Qian Chen & Xiang Gao & Gangchen Liu, 2021, "Limited Attention and Post-Earnings Announcement Drift: Evidence from China s Stock Market," International Journal of Economics and Financial Issues, Econjournals, volume 11, issue 1, pages 1-17.
• Ernie Hendrawaty & Rialdi Azhar & Fajrin Satria Dwi Kesumah & Sari Indah Oktanti Sembiring & Mega Metalia, 2021, "Modelling and Forecasting Crude Oil Prices during COVID-19 Pandemic," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 2, pages 149-154.
• Tarek Bouazizi & Zouhaier Hadhek & Fatma Mrad & Mosbah Lafi, 2021, "Changes in Demand for Crude Oil and its Correlation with Crude Oil and Stock Market Returns Volatilities: Evidence from Three Asian Oil Importing Countries," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 3, pages 27-43.
• Huthaifa Sameeh Alqaralleh & Ahmad Al-Saraireh & Alessandra Canepa, 2021, "Energy Market Risk Management under Uncertainty: A VaR Based on Wavelet Approach," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 130-137.
• Bharat Kumar Meher & Iqbal Thonse Hawaldar & Mathew Thomas Gil & Deebom Zorle Dum, 2021, "Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 6, pages 489-502.
• Umar, Zaghum & Gubareva, Mariya & Yousaf, Imran & Ali, Shoaib, 2021, "A tale of company fundamentals vs sentiment driven pricing: The case of GameStop," Journal of Behavioral and Experimental Finance, Elsevier, volume 30, issue C, DOI: 10.1016/j.jbef.2021.100501.
• Hasan, Mudassar & Naeem, Muhammad Abubakr & Arif, Muhammad & Yarovaya, Larisa, 2021, "Higher moment connectedness in cryptocurrency market," Journal of Behavioral and Experimental Finance, Elsevier, volume 32, issue C, DOI: 10.1016/j.jbef.2021.100562.
• Basse, Tobias & Klein, Tony & Vigne, Samuel A. & Wegener, Christoph, 2021, "U.S. stock prices and the dot.com-bubble: Can dividend policy rescue the efficient market hypothesis?," Journal of Corporate Finance, Elsevier, volume 67, issue C, DOI: 10.1016/j.jcorpfin.2021.101892.
• Kita, Arben & Tortorice, Daniel L., 2021, "Same firm, two volatilities: How variance risk is priced in credit and equity markets," Journal of Corporate Finance, Elsevier, volume 69, issue C, DOI: 10.1016/j.jcorpfin.2021.101885.
• Da Fonseca, José & Malevergne, Yannick, 2021, "A simple microstructure model based on the Cox-BESQ process with application to optimal execution policy," Journal of Economic Dynamics and Control, Elsevier, volume 128, issue C, DOI: 10.1016/j.jedc.2021.104137.
• Cherubini, Umberto, 2021, "Estimating redenomination risk under Gumbel–Hougaard survival copulas," Journal of Economic Dynamics and Control, Elsevier, volume 133, issue C, DOI: 10.1016/j.jedc.2021.104268.
• Hasan, Mudassar & Arif, Muhammad & Naeem, Muhammad Abubakr & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021, "Time-frequency connectedness between Asian electricity sectors," Economic Analysis and Policy, Elsevier, volume 69, issue C, pages 208-224, DOI: 10.1016/j.eap.2020.12.008.
• An, Henry & Qiu, Feng & Rude, James, 2021, "Volatility spillovers between food and fuel markets: Do administrative regulations affect the transmission?," Economic Modelling, Elsevier, volume 102, issue C, DOI: 10.1016/j.econmod.2021.105552.
• Cross, Jamie L. & Hou, Chenghan & Trinh, Kelly, 2021, "Returns, volatility and the cryptocurrency bubble of 2017–18," Economic Modelling, Elsevier, volume 104, issue C, DOI: 10.1016/j.econmod.2021.105643.
• Zhu, Bo & Lin, Renda & Deng, Yuanyue & Chen, Pingshe & Chevallier, Julien, 2021, "Intersectoral systemic risk spillovers between energy and agriculture under the financial and COVID-19 crises," Economic Modelling, Elsevier, volume 105, issue C, DOI: 10.1016/j.econmod.2021.105651.
• Gregoriou, Greg N. & Racicot, François-Éric & Théoret, Raymond, 2021, "The response of hedge fund tail risk to macroeconomic shocks: A nonlinear VAR approach," Economic Modelling, Elsevier, volume 94, issue C, pages 843-872, DOI: 10.1016/j.econmod.2020.02.025.
• Shang, Yuhuang & Zheng, Tingguo, 2021, "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, volume 95, issue C, pages 462-472, DOI: 10.1016/j.econmod.2020.03.013.
• Aslanidis, Nektarios & Martinez, Oscar, 2021, "Correlation regimes in international equity and bond returns," Economic Modelling, Elsevier, volume 97, issue C, pages 397-410, DOI: 10.1016/j.econmod.2020.04.009.
• Hu, Shuowen & Poskitt, D.S. & Zhang, Xibin, 2021, "Bayesian estimation for a semiparametric nonlinear volatility model," Economic Modelling, Elsevier, volume 98, issue C, pages 361-370, DOI: 10.1016/j.econmod.2020.11.005.
• Behrendt, Simon & Schmidt, Alexander, 2021, "Nonlinearity matters: The stock price – trading volume relation revisited," Economic Modelling, Elsevier, volume 98, issue C, pages 371-385, DOI: 10.1016/j.econmod.2020.11.004.
• Mora-Valencia, Andrés & Rodríguez-Raga, Santiago & Vanegas, Esteban, 2021, "Skew index: Descriptive analysis, predictive power, and short-term forecast," The North American Journal of Economics and Finance, Elsevier, volume 56, issue C, DOI: 10.1016/j.najef.2020.101356.
• Tan, Chia-Yen & Koh, You-Beng & Ng, Kok-Haur & Ng, Kooi-Huat, 2021, "Dynamic volatility modelling of Bitcoin using time-varying transition probability Markov-switching GARCH model," The North American Journal of Economics and Finance, Elsevier, volume 56, issue C, DOI: 10.1016/j.najef.2021.101377.
• Będowska-Sójka, Barbara & Kliber, Agata, 2021, "Is there one safe-haven for various turbulences? The evidence from gold, Bitcoin and Ether," The North American Journal of Economics and Finance, Elsevier, volume 56, issue C, DOI: 10.1016/j.najef.2021.101390.
• Figà-Talamanca, Gianna & Focardi, Sergio & Patacca, Marco, 2021, "Regime switches and commonalities of the cryptocurrencies asset class," The North American Journal of Economics and Finance, Elsevier, volume 57, issue C, DOI: 10.1016/j.najef.2021.101425.
• Pérez-Rodríguez, Jorge V. & Andrada-Félix, Julián & Rachinger, Heiko, 2021, "Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence," The North American Journal of Economics and Finance, Elsevier, volume 57, issue C, DOI: 10.1016/j.najef.2021.101438.
• Mensi, Walid & Lee, Yun-Jung & Vinh Vo, Xuan & Yoon, Seong-Min, 2021, "Does oil price variability affect the long memory and weak form efficiency of stock markets in top oil producers and oil Consumers? Evidence from an asymmetric MF-DFA approach," The North American Journal of Economics and Finance, Elsevier, volume 57, issue C, DOI: 10.1016/j.najef.2021.101446.
• Caporin, Massimiliano & Garcia-Jorcano, Laura & Jimenez-Martin, Juan-Angel, 2021, "TrAffic LIght system for systemic Stress: TALIS3," The North American Journal of Economics and Finance, Elsevier, volume 57, issue C, DOI: 10.1016/j.najef.2021.101449.
• Ngene, Geoffrey M., 2021, "What drives dynamic connectedness of the U.S equity sectors during different business cycles?," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101493.
• Dong, Xiyong & Li, Changhong & Yoon, Seong-Min, 2021, "How can investors build a better portfolio in small open economies? Evidence from Asia’s Four Little Dragons," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101500.
• Freire, Gustavo, 2021, "Tail risk and investors’ concerns: Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101519.
• Xu, Yongan & Wang, Jianqiong & Chen, Zhonglu & Liang, Chao, 2021, "Economic policy uncertainty and stock market returns: New evidence," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101525.
• Kim, Jong-Min & Kim, Dong H. & Jung, Hojin, 2021, "Applications of machine learning for corporate bond yield spread forecasting," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101540.
• Dong, Xiyong & Song, Li & Yoon, Seong-Min, 2021, "How have the dependence structures between stock markets and economic factors changed during the COVID-19 pandemic?," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101546.
• Li, Yiyun & Law, Keith K.F., 2021, "Systematic risk in pairs trading and dynamic parameterization," Economics Letters, Elsevier, volume 202, issue C, DOI: 10.1016/j.econlet.2021.109842.
• Bertelsen, Kristoffer Pons & Borup, Daniel & Jakobsen, Johan Stax, 2021, "Stock market volatility and public information flow: A non-linear perspective," Economics Letters, Elsevier, volume 204, issue C, DOI: 10.1016/j.econlet.2021.109905.
• Caferra, Rocco & Tedeschi, Gabriele & Morone, Andrea, 2021, "Bitcoin: Bubble that bursts or Gold that glitters?," Economics Letters, Elsevier, volume 205, issue C, DOI: 10.1016/j.econlet.2021.109942.
• Costola, Michele & Iacopini, Matteo & Santagiustina, Carlo R.M.A., 2021, "On the “mementum” of meme stocks," Economics Letters, Elsevier, volume 207, issue C, DOI: 10.1016/j.econlet.2021.110021.
• Wang, Gang-Jin & Zhu, Chun-Long, 2021, "BP-CVaR: A novel model of estimating CVaR with back propagation algorithm," Economics Letters, Elsevier, volume 209, issue C, DOI: 10.1016/j.econlet.2021.110125.
• Yang, Xinxin & Zheng, Xinghua & Chen, Jiaqi, 2021, "Testing high-dimensional covariance matrices under the elliptical distribution and beyond," Journal of Econometrics, Elsevier, volume 221, issue 2, pages 409-423, DOI: 10.1016/j.jeconom.2020.05.017.
• Blasques, F. & Gorgi, P. & Koopman, S.J., 2021, "Missing observations in observation-driven time series models," Journal of Econometrics, Elsevier, volume 221, issue 2, pages 542-568, DOI: 10.1016/j.jeconom.2020.07.043.
• Bu, Ruijun & Hadri, Kaddour & Kristensen, Dennis, 2021, "Diffusion copulas: Identification and estimation," Journal of Econometrics, Elsevier, volume 221, issue 2, pages 616-643, DOI: 10.1016/j.jeconom.2020.06.004.
• Buccheri, Giuseppe & Corsi, Fulvio & Flandoli, Franco & Livieri, Giulia, 2021, "The continuous-time limit of score-driven volatility models," Journal of Econometrics, Elsevier, volume 221, issue 2, pages 655-675, DOI: 10.1016/j.jeconom.2020.07.042.
• Fan, Jianqing & Ke, Yuan & Liao, Yuan, 2021, "Augmented factor models with applications to validating market risk factors and forecasting bond risk premia," Journal of Econometrics, Elsevier, volume 222, issue 1, pages 269-294, DOI: 10.1016/j.jeconom.2020.07.002.
• Song, Xinyu & Kim, Donggyu & Yuan, Huiling & Cui, Xiangyu & Lu, Zhiping & Zhou, Yong & Wang, Yazhen, 2021, "Volatility analysis with realized GARCH-Itô models," Journal of Econometrics, Elsevier, volume 222, issue 1, pages 393-410, DOI: 10.1016/j.jeconom.2020.07.007.
• Ding, Yi & Li, Yingying & Zheng, Xinghua, 2021, "High dimensional minimum variance portfolio estimation under statistical factor models," Journal of Econometrics, Elsevier, volume 222, issue 1, pages 502-515, DOI: 10.1016/j.jeconom.2020.07.013.
• Dai, Min & Jia, Yanwei & Kou, Steven, 2021, "The wisdom of the crowd and prediction markets," Journal of Econometrics, Elsevier, volume 222, issue 1, pages 561-578, DOI: 10.1016/j.jeconom.2020.07.016.
• Park, Joon Y. & Wang, Bin, 2021, "Nonparametric estimation of jump diffusion models," Journal of Econometrics, Elsevier, volume 222, issue 1, pages 688-715, DOI: 10.1016/j.jeconom.2020.07.020.
• Sönksen, Jantje & Grammig, Joachim, 2021, "Empirical asset pricing with multi-period disaster risk: A simulation-based approach," Journal of Econometrics, Elsevier, volume 222, issue 1, pages 805-832, DOI: 10.1016/j.jeconom.2020.08.001.
• Hansen, Lars Peter & Sargent, Thomas J., 2021, "Macroeconomic uncertainty prices when beliefs are tenuous," Journal of Econometrics, Elsevier, volume 223, issue 1, pages 222-250, DOI: 10.1016/j.jeconom.2019.11.010.
• Guay, François & Schwenkler, Gustavo, 2021, "Efficient estimation and filtering for multivariate jump–diffusions," Journal of Econometrics, Elsevier, volume 223, issue 1, pages 251-275, DOI: 10.1016/j.jeconom.2020.09.004.
• Ahsan, Md. Nazmul & Dufour, Jean-Marie, 2021, "Simple estimators and inference for higher-order stochastic volatility models," Journal of Econometrics, Elsevier, volume 224, issue 1, pages 181-197, DOI: 10.1016/j.jeconom.2021.03.008.
• Jiang, Feiyu & Li, Dong & Zhu, Ke, 2021, "Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model," Journal of Econometrics, Elsevier, volume 224, issue 2, pages 306-329, DOI: 10.1016/j.jeconom.2020.10.007.
• Chiang, I-Hsuan Ethan & Liao, Yin & Zhou, Qing, 2021, "Modeling the cross-section of stock returns using sensible models in a model pool," Journal of Empirical Finance, Elsevier, volume 60, issue C, pages 56-73, DOI: 10.1016/j.jempfin.2020.11.003.
• Parhizgari, A.M. & Padungsaksawasdi, Chaiyuth, 2021, "Global equity market leadership positions through implied volatility measures," Journal of Empirical Finance, Elsevier, volume 61, issue C, pages 180-205, DOI: 10.1016/j.jempfin.2021.01.001.
• Balter, Anne G. & Pelsser, Antoon & Schotman, Peter C., 2021, "What does a term structure model imply about very long-term interest rates?," Journal of Empirical Finance, Elsevier, volume 62, issue C, pages 202-219, DOI: 10.1016/j.jempfin.2021.03.006.
• Gradojevic, Nikola & Tsiakas, Ilias, 2021, "Volatility cascades in cryptocurrency trading," Journal of Empirical Finance, Elsevier, volume 62, issue C, pages 252-265, DOI: 10.1016/j.jempfin.2021.04.005.
• Cheng, Mingmian & Swanson, Norman R. & Yang, Xiye, 2021, "Forecasting volatility using double shrinkage methods," Journal of Empirical Finance, Elsevier, volume 62, issue C, pages 46-61, DOI: 10.1016/j.jempfin.2021.01.007.
• Austmann, Leonhard M. & Vigne, Samuel A., 2021, "Does environmental awareness fuel the electric vehicle market? A Twitter keyword analysis," Energy Economics, Elsevier, volume 101, issue C, DOI: 10.1016/j.eneco.2021.105337.
• Khalfaoui, Rabeh & Tiwari, Aviral Kumar & Kablan, Sandrine & Hammoudeh, Shawkat, 2021, "Interdependence and lead-lag relationships between the oil price and metal markets: Fresh insights from the wavelet and quantile coherency approaches," Energy Economics, Elsevier, volume 101, issue C, DOI: 10.1016/j.eneco.2021.105421.
• Patra, Saswat, 2021, "Revisiting value-at-risk and expected shortfall in oil markets under structural breaks: The role of fat-tailed distributions," Energy Economics, Elsevier, volume 101, issue C, DOI: 10.1016/j.eneco.2021.105452.
• Mwampashi, Muthe Mathias & Nikitopoulos, Christina Sklibosios & Konstandatos, Otto & Rai, Alan, 2021, "Wind generation and the dynamics of electricity prices in Australia," Energy Economics, Elsevier, volume 103, issue C, DOI: 10.1016/j.eneco.2021.105547.
• Leong, Soon Heng, 2021, "Global crude oil and the Chinese oil-intensive sectors: A comprehensive causality study," Energy Economics, Elsevier, volume 103, issue C, DOI: 10.1016/j.eneco.2021.105558.
• Nonejad, Nima, 2021, "Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures: Some new empirical results," Energy Economics, Elsevier, volume 104, issue C, DOI: 10.1016/j.eneco.2021.105635.
• Kocaarslan, Baris & Soytas, Ugur, 2021, "Reserve currency and the volatility of clean energy stocks: The role of uncertainty," Energy Economics, Elsevier, volume 104, issue C, DOI: 10.1016/j.eneco.2021.105645.
• Baum, Christopher F. & Zerilli, Paola & Chen, Liyuan, 2021, "Stochastic volatility, jumps and leverage in energy and stock markets: Evidence from high frequency data," Energy Economics, Elsevier, volume 93, issue C, DOI: 10.1016/j.eneco.2019.104481.
• Ahmed, Abdullahi D. & Huo, Rui, 2021, "Volatility transmissions across international oil market, commodity futures and stock markets: Empirical evidence from China," Energy Economics, Elsevier, volume 93, issue C, DOI: 10.1016/j.eneco.2020.104741.
• Yahya, Muhammad & Kanjilal, Kakali & Dutta, Anupam & Uddin, Gazi Salah & Ghosh, Sajal, 2021, "Can clean energy stock price rule oil price? New evidences from a regime-switching model at first and second moments," Energy Economics, Elsevier, volume 95, issue C, DOI: 10.1016/j.eneco.2021.105116.
• Richter, Sylvia & Heyde, Frank & Horsch, Andreas & Wünsche, Andreas, 2021, "Determinants of project bond prices – Insights into infrastructure and energy capital markets," Energy Economics, Elsevier, volume 97, issue C, DOI: 10.1016/j.eneco.2021.105175.
• Kramer, Anke & Kiesel, Rüdiger, 2021, "Exogenous factors for order arrivals on the intraday electricity market," Energy Economics, Elsevier, volume 97, issue C, DOI: 10.1016/j.eneco.2021.105186.
• Balcilar, Mehmet & Roubaud, David & Usman, Ojonugwa & Wohar, Mark E., 2021, "Moving out of the linear rut: A period-specific and regime-dependent exchange rate and oil price pass-through in the BRICS countries," Energy Economics, Elsevier, volume 98, issue C, DOI: 10.1016/j.eneco.2021.105249.
• Urom, Christian & Mzoughi, Hela & Abid, Ilyes & Brahim, Mariem, 2021, "Green markets integration in different time scales: A regional analysis," Energy Economics, Elsevier, volume 98, issue C, DOI: 10.1016/j.eneco.2021.105254.
• Kang, Sanghoon & Hernandez, Jose Arreola & Sadorsky, Perry & McIver, Ronald, 2021, "Frequency spillovers, connectedness, and the hedging effectiveness of oil and gold for US sector ETFs," Energy Economics, Elsevier, volume 99, issue C, DOI: 10.1016/j.eneco.2021.105278.
• Maghyereh, Aktham & Abdoh, Hussein, 2021, "The impact of extreme structural oil-price shocks on clean energy and oil stocks," Energy, Elsevier, volume 225, issue C, DOI: 10.1016/j.energy.2021.120209.
• Umar, Muhammad & Su, Chi-Wei & Rizvi, Syed Kumail Abbas & Lobonţ, Oana-Ramona, 2021, "Driven by fundamentals or exploded by emotions: Detecting bubbles in oil prices," Energy, Elsevier, volume 231, issue C, DOI: 10.1016/j.energy.2021.120873.
• Alqahtani, Abdullah & Klein, Tony, 2021, "Oil price changes, uncertainty, and geopolitical risks: On the resilience of GCC countries to global tensions," Energy, Elsevier, volume 236, issue C, DOI: 10.1016/j.energy.2021.121541.
• Ahelegbey, Daniel Felix & Giudici, Paolo & Mojtahedi, Fatemeh, 2021, "Tail risk measurement in crypto-asset markets," International Review of Financial Analysis, Elsevier, volume 73, issue C, DOI: 10.1016/j.irfa.2020.101604.
• Erdős, Péter & Li, Youwei & Liu, Ruipeng & Mende, Alexander, 2021, "Same same but different – Stylized facts of CTA sub strategies," International Review of Financial Analysis, Elsevier, volume 74, issue C, DOI: 10.1016/j.irfa.2021.101657.
• Fuertes, Ana-Maria & Robles, Maria-Dolores, 2021, "Bank credit risk events and peers' equity value," International Review of Financial Analysis, Elsevier, volume 75, issue C, DOI: 10.1016/j.irfa.2021.101668.
• Junttila, Juha & Perttunen, Jukka & Raatikainen, Juhani, 2021, "Keep the faith in banking: New evidence for the effects of negative interest rates based on the case of Finnish cooperative banks," International Review of Financial Analysis, Elsevier, volume 75, issue C, DOI: 10.1016/j.irfa.2021.101724.
• Hung, Ngo Thai & Vo, Xuan Vinh, 2021, "Directional spillover effects and time-frequency nexus between oil, gold and stock markets: Evidence from pre and during COVID-19 outbreak," International Review of Financial Analysis, Elsevier, volume 76, issue C, DOI: 10.1016/j.irfa.2021.101730.
• Goodell, John W. & Goutte, Stephane, 2021, "Diversifying equity with cryptocurrencies during COVID-19," International Review of Financial Analysis, Elsevier, volume 76, issue C, DOI: 10.1016/j.irfa.2021.101781.
• Tanin, Tauhidul Islam & Sarker, Ashutosh & Brooks, Robert, 2021, "Do currency exchange rates impact gold prices? New evidence from the ongoing COVID-19 period," International Review of Financial Analysis, Elsevier, volume 77, issue C, DOI: 10.1016/j.irfa.2021.101868.