Research classified by Journal of Economic Literature (JEL) codes

2021

• Alessio Sancetta, 2021, "Intraday End-of-Day Volume Prediction," Journal of Financial Econometrics, Oxford University Press, volume 19, issue 3, pages 472-495.
• Jeremias Bekierman & Bastian Gribisch, 2021, "A Mixed Frequency Stochastic Volatility Model for Intraday Stock Market Returns," Journal of Financial Econometrics, Oxford University Press, volume 19, issue 3, pages 496-530.
• Giuseppe Buccheri & Fulvio Corsi, 2021, "HARK the SHARK: Realized Volatility Modeling with Measurement Errors and Nonlinear Dependencies," Journal of Financial Econometrics, Oxford University Press, volume 19, issue 4, pages 614-649.
• Jim Griffin & Jia Liu & John M. Maheu, 2021, "Bayesian Nonparametric Estimation of Ex Post Variance
  [Out of Sample Forecasts of Quadratic Variation]," Journal of Financial Econometrics, Oxford University Press, volume 19, issue 5, pages 823-859.
• Giorgio Calzolari & Roxana Halbleib & Aygul Zagidullina, 2021, "A Latent Factor Model for Forecasting Realized Variances
  [Stock Returns and Volatility: Pricing the Short-Run and Long-Run Components of Market Risk]," Journal of Financial Econometrics, Oxford University Press, volume 19, issue 5, pages 860-909.
• Daniel J Lewis, 2021, "Identifying Shocks via Time-Varying Volatility
  [First Order Autoregressive Processes and Strong Mixing]," The Review of Economic Studies, Review of Economic Studies Ltd, volume 88, issue 6, pages 3086-3124.
• Soohun Kim & Robert A Korajczyk & Andreas Neuhierl & Wei JiangEditor, 2021, "Arbitrage Portfolios," The Review of Financial Studies, Society for Financial Studies, volume 34, issue 6, pages 2813-2856.
• David Easley & Marcos López de Prado & Maureen O’Hara & Zhibai Zhang & Wei Jiang, 2021, "Microstructure in the Machine Age
  [The risk of machine learning]," The Review of Financial Studies, Society for Financial Studies, volume 34, issue 7, pages 3316-3363.
• Alina Barbulescu & Cristian Stefan Dumitriu, 2021, "Markov Switching Model for Financial Time Series," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 1, pages 193-198, August.
• Alina Barbulescu & Cristian Stefan Dumitriu, 2021, "Artificial Intelligence Models for Financial Time Series," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 1, pages 685-690, August.
• Susana Campos-Martins & Cristina Amado, 2021, "Financial Market Linkages and the Sovereign Debt Crisis," Economics Series Working Papers, University of Oxford, Department of Economics, number 946 JEL classification: C, Sep.
• Fuentes Vélez, Mariana & Pinilla Barrera, Alejandro, 2021, "Transmisión de volatilidad en el Mercado Integrado Latinoamericano (MILA): una evidencia del grado de integración. || Transmission of volatility in the Latin American Integrated Market (MILA): evidenc," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 31, issue 1, pages 301-328, June, DOI: https://doi.org/10.46661/revmetodos.
• Rendón, Juan F. & Trespalacios, Alfredo & Cortés, Lina M. & Villada-Medina, Hernán D., 2021, "Modelización de la demanda de energía eléctrica: más allá de la normalidad || Electrical energy demand modeling: beyond normality," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 32, issue 1, pages 83-98, December, DOI: https://doi.org/10.46661/revmetodos.
• Carlos A. Abanto-Valle & Gabriel Rodríguez & Luis M. Castro Cepero & Hernán B. Garrafa-Aragón, 2021, "Approximate Bayesian Estimation of Stochastic Volatility in Mean Models using Hidden Markov Models: Empirical Evidence from Stock Latin American Markets," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2021-502, DOI: 10.18800/2079-8474.0502.
• Akbulaev, Nurkhodzha & Aliyeva, Basti & Rzayeva, Shehla, 2021, "Analysis of the Influence of the Price of Raw Oil and Natural Gas on the Prices of Indices and Shares of the Turkish Stock Exchange," Public Finance Quarterly, Corvinus University of Budapest, volume 66, issue 1, pages 151-166, DOI: https://doi.org/10.35551/PFQ_2021_1.
• Farrukh Mahmood & Muhammad Zakaria, 2021, "Testing the Threshold Asymmetric Co-integration Interest Rate Pass-Through in the Presence of Stylised Properties: Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, volume 60, issue 1, pages 17-26.
• Ikeda, Yuki, 2021, "Efficient Computation of Portfolio Credit Risk with Chain Default," MPRA Paper, University Library of Munich, Germany, number 106652, Mar.
• Kumar, Satish & Tiwari, Aviral & Raheem, Ibrahim & Hille, Erik, 2021, "Time-varying dependence structure between oil and agricultural commodity markets: A dependence-switching CoVaR copula approach," MPRA Paper, University Library of Munich, Germany, number 106684, Mar.
• Lemus, Antonio & Pulgar, Carlos, 2021, "Households’ Debt Thresholds: A Market Aspects Approach," MPRA Paper, University Library of Munich, Germany, number 106958, Apr.
• Pincheira, Pablo & Hardy, Nicolas, 2021, "The Mean Squared Prediction Error Paradox," MPRA Paper, University Library of Munich, Germany, number 107403, Apr.
• Pincheira, Pablo & Hardy, Nicolas & Bentancor, Andrea & Henriquez, Cristóbal & Tapia, Ignacio, 2021, "Forecasting Base Metal Prices with an International Stock Index," MPRA Paper, University Library of Munich, Germany, number 107828, May.
• Costola, Michele & Lorusso, Marco, 2021, "Spillovers among Energy Commodities and the Russian Stock Market," MPRA Paper, University Library of Munich, Germany, number 108990, Jul.
• Royer, Julien, 2021, "Conditional asymmetry in Power ARCH($\infty$) models," MPRA Paper, University Library of Munich, Germany, number 109118, Jul.
• Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2021, "Exploring volatility of crude oil intra-day return curves: a functional GARCH-X Model," MPRA Paper, University Library of Munich, Germany, number 109231, Aug.
• Mpoha, Salifya & Bonga-Bonga, Lumengo, 2021, "Spillover effects from China and the US to global emerging markets: a dynamic analysis," MPRA Paper, University Library of Munich, Germany, number 109349, Aug.
• Francq, Christian & Zakoian, Jean-Michel, 2021, "Testing the existence of moments and estimating the tail index of augmented garch processes," MPRA Paper, University Library of Munich, Germany, number 110511.
• Delis, Panagiotis & Degiannakis, Stavros & Giannopoulos, Kostantinos, 2021, "What should be taken into consideration when forecasting oil implied volatility index?," MPRA Paper, University Library of Munich, Germany, number 110831, Nov.
• Aknouche, Abdelhakim & Dimitrakopoulos, Stefanos, 2021, "Autoregressive conditional proportion: A multiplicative-error model for (0,1)-valued time series," MPRA Paper, University Library of Munich, Germany, number 110954, Dec, revised 06 Dec 2021.
• Mestiri, Sami, 2021, "Modelling the volatility of Bitcoin returns using Nonparametric GARCH models," MPRA Paper, University Library of Munich, Germany, number 111116, Dec.
• Korobilis, Dimitris & Shimizu, Kenichi, 2021, "Bayesian Approaches to Shrinkage and Sparse Estimation," MPRA Paper, University Library of Munich, Germany, number 111631, Dec.
• G.K., Chetan Kumar & K.B., Rangappa & S., Suchitra, 2021, "Analyzing Interlinkages between Financial and Real Estate Sector in the aftermath of COVID-19's Second wave: An Econometric Approach using VECM model," MPRA Paper, University Library of Munich, Germany, number 112440, Dec.
• Kombarov, Sayan, 2021, "Action in Economics: Mathematical Derivation of Laws of Economics from the Principle of Least Action in Physics," MPRA Paper, University Library of Munich, Germany, number 112474, Aug.
• Raifu, Isiaka Akande & Ogbonna, Ahamuefula E, 2021, "Safe-haven Effectiveness of Cryptocurrency: Evidence from Stock Markets of COVID-19 worst-hit African Countries," MPRA Paper, University Library of Munich, Germany, number 113139, Jan.
• Bradrania, Reza & Pirayesh Neghab, Davood, 2021, "State-dependent asset allocation using neural networks," MPRA Paper, University Library of Munich, Germany, number 115254, Feb.
• houidi, Fatma & Ellouz, Siwar, 2021, "Volatility spillovers and Financial contagion during global financial crisis: Islamic versus conventional equity indices with Multivariate GARCH approch," MPRA Paper, University Library of Munich, Germany, number 122530.
• Muhammad Yasir & A. Özlem Önder, 2021, "Dynamic Herding Behaviour In the US Stock Market," Prague Economic Papers, Prague University of Economics and Business, volume 2021, issue 1, pages 115-130, DOI: 10.18267/j.pep.760.
• Mark Aguiar & Satyajit Chatterjee & Harold Cole & Zachary Stangebye, 2021, "Self-Fulfilling Debt Crises, Revisited," Working Papers, Princeton University. Economics Department., number 2021-92, Nov.
• N'Golo Kone, 2021, "Efficient mean-variance portfolio selection by double regularization," Working Paper, Economics Department, Queen's University, number 1453, Feb.
• Efthymios Stathakis & Theophilos Papadimitriou & Periklis Gogas, 2021, "Forecasting Price Spikes in Electricity Markets," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, volume 13, issue 1, pages 65-87, March, DOI: https://doi.org/10.15353/rea.v13i1..
• Gomez-Gonzalez, Jose Eduardo & Gualtero-Briceño, Daniela & Melo-Velandia, Luis Fernando, 2021, "Estimating the Value at Risk of a bank’s portfolio in sovereign bonds using a DCC-Copula model," Working papers, Red Investigadores de Economía, number 75, Feb.
• Andreï Kostyrka & Dmitry Malakhov, 2021, "Was there ever a shift: Empirical analysis of structural-shift tests for return volatility," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 61, pages 110-139.
• Bogdan Potanin & Juri Trifonov, 2021, "The influence of investors’ expectations on oil prices," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 63, pages 76-90.
• Zekai Senol, 2021, "Volatility Spillover between the Stock Market, Exchange Rates, Interest Rates and CDS Premiums: Evidence from Turkey (Borsa Endeksi, Döviz Kuru, Faiz Oranları ve CDS Primleri Arasındaki Oynaklık Yayıl," Business and Economics Research Journal, Bursa Uludag University, Faculty of Economics and Administrative Sciences, volume 12, issue 1, pages 111-126.
• Indra Darmawan & Hermanto Siregar & Dedi B. Hakim & Adler H. Manurung, 2021, "Crude Oil Price Movement and Stock Market Trading Activity: Evidence from Indonesia," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, volume 74, issue 1, pages 25-46.
• Roselyn Dimingo & John W. Muteba Mwamba & Lumengo Bonga-Bonga, 2021, "Prediction of Stock Market Direction: Application of Machine Learning Models," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, volume 74, issue 4, pages 499-536.
• Teresia Angelia Kusumahadi & Fikri C Permana, 2021, "Impact of COVID-19 on Global Stock Market Volatility," Journal of Economic Integration, Center for Economic Integration, Sejong University, volume 36, issue 1, pages 20-45.
• Sadeq Rezaei & Mohsen Mehrara, 2021, "Dynamics of Symmetric Informed Trading and Order Flow Shock at Tehran Exchange Stock: A Hidden Markov Model Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 8, issue 1, pages 25-54.
• Chao YU & Xujie ZHAO, 2021, "Measuring the Jump Risk Contribution under Market Microstructure Noise – Evidence from Chinese Stock Market," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 1, pages 32-47, December.
• Muhammad Ateeq ur REHMAN & Syed Ghulam Meran SHAH & Lucian-Ionel CIOCA & Alin ARTENE, 2021, "Accentuating the Impacts of Political News on the Stock Price, Working Capital and Performance: An Empirical Review of Emerging Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 2, pages 55-73, June.
• Jana ŠTRANGFELDOVÁ & Daniela MALIŠOVÁ, 2021, "Application Of Actuarial Modeling To Determine The Rate Of Health Insurance In Solidary Health Care Systems: A Case Of Slovakia," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, volume 2021, issue 37, pages 90-102.
• Giuseppe Buccheri & Stefano Grassi & Giorgio Vocalelli, 2021, "Estimating Risk in Illiquid Markets: a Model of Market Friction with Stochastic Volatility," CEIS Research Paper, Tor Vergata University, CEIS, number 506, Jan, revised 08 Nov 2021.
• Tommaso Proietti & Diego J. Pedregal, 2021, "Seasonality in High Frequency Time Series," CEIS Research Paper, Tor Vergata University, CEIS, number 508, Mar, revised 11 Mar 2021.
• Rocco Ciciretti & Ambrogio Dalò & Giovanni Ferri, 2021, "Herding and Anti-Herding Across ESG Funds," CEIS Research Paper, Tor Vergata University, CEIS, number 524, Nov, revised 05 Nov 2021.
• Kirill Dragun & Kris Boudt & Orimar Sauri & Steven Vanduffel, 2021, "Beta-Adjusted Covariance Estimation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium, Ghent University, Faculty of Economics and Business Administration, number 21/1010, Feb.
• Martien Lamers & Thomas Present & Rudi Vander Vennet & Nicolas Soenen, 2021, "BRRD credibility and the bank-sovereign nexus," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium, Ghent University, Faculty of Economics and Business Administration, number 21/1024, Aug.
• George Varghese & Vinodh Madhavan, 2021, "Nonlinearity in Global Crude Oil Benchmarks: Disentangling the Effect of Time Aggregation," Journal of Emerging Market Finance, Institute for Financial Management and Research, volume 20, issue 3, pages 290-307, December, DOI: 10.1177/09726527211043013.
• A. Ovcharov О. & V. Matveev A. & А. Овчаров О. & В. Матвеев А., 2021, "Индекс финансового страха на рынке цифровых финансовых активов // Financial Fear Index in the Digital Financial Assets Market," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, volume 25, issue 4, pages 136-151.
• Reyes García, Nallely Jacqueline & Venegas Martínez, Francisco & Martínez Palacios, María Teresa Verónica, 2021, "Análisis comparativo entre el modelo ARMA y su versión continua CARMA sobre la dinámica del Índice de Precios y Cotizaciones de la Bolsa Mexicana de Valores / Comparative analysis between the ARMA mod," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, volume 11, issue 1, pages 33-57, enero-jun.
• Marcin Borsuk & Błażej Lepczyński, 2021, "Rating implikowany a koszt finansowania banków notowanych na Giełdzie Papierów Wartościowych w Warszawie," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 87-109.
• M. Karanasos & S. Yfanti & A. Christopoulos, 2021, "The long memory HEAVY process: modeling and forecasting financial volatility," Annals of Operations Research, Springer, volume 306, issue 1, pages 111-130, November, DOI: 10.1007/s10479-019-03493-8.
• Yuzhi Cai & Thanaset Chevapatrakul & Danilo V. Mascia, 2021, "How is price explosivity triggered in the cryptocurrency markets?," Annals of Operations Research, Springer, volume 307, issue 1, pages 37-51, December, DOI: 10.1007/s10479-021-04298-4.
• Giovanni Bonaccolto, 2021, "Quantile– based portfolios: post– model– selection estimation with alternative specifications," Computational Management Science, Springer, volume 18, issue 3, pages 355-383, July, DOI: 10.1007/s10287-021-00396-7.
• Giuseppe Buccheri & Davide Pirino & Luca Trapin, 2021, "Managing liquidity with portfolio staleness," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 44, issue 1, pages 215-239, June, DOI: 10.1007/s10203-020-00300-z.
• Gianna Figá-Talamanca & Sergio Focardi & Marco Patacca, 2021, "Common dynamic factors for cryptocurrencies and multiple pair-trading statistical arbitrages," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 44, issue 2, pages 863-882, December, DOI: 10.1007/s10203-021-00318-x.
• Suman Das & Saikat Sinha Roy, 2021, "Predicting regime switching in BRICS currency volatility: a Markov switching autoregressive approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, volume 48, issue 2, pages 165-180, June, DOI: 10.1007/s40622-021-00275-9.
• Georg Keilbar & Yanfen Zhang, 2021, "On cointegration and cryptocurrency dynamics," Digital Finance, Springer, volume 3, issue 1, pages 1-23, March, DOI: 10.1007/s42521-021-00027-5.
• Alla Petukhina & Erin Sprünken, 2021, "Evaluation of multi-asset investment strategies with digital assets," Digital Finance, Springer, volume 3, issue 1, pages 45-79, March, DOI: 10.1007/s42521-021-00031-9.
• Guglielmo Maria Caporale & Luis A. Gil-Alana & Carlos Poza, 2021, "Cycles and Long-Range Behaviour in the European Stock Markets," Dynamic Modeling and Econometrics in Economics and Finance, Springer, in: Gilles Dufrénot & Takashi Matsuki, "Recent Econometric Techniques for Macroeconomic and Financial Data", DOI: 10.1007/978-3-030-54252-8_11.
• Marcel Aloy & Floris Laly & Sébastien Laurent & Christelle Lecourt, 2021, "Modeling Time-Varying Conditional Betas. A Comparison of Methods with Application for REITs," Dynamic Modeling and Econometrics in Economics and Finance, Springer, in: Gilles Dufrénot & Takashi Matsuki, "Recent Econometric Techniques for Macroeconomic and Financial Data", DOI: 10.1007/978-3-030-54252-8_9.
• Julius Loermann, 2021, "The impact of CHF/EUR exchange rate uncertainty on Swiss exports to the Eurozone: evidence from a threshold VAR," Empirical Economics, Springer, volume 60, issue 3, pages 1363-1385, March, DOI: 10.1007/s00181-019-01780-8.
• Verena Monschang & Bernd Wilfling, 2021, "Sup-ADF-style bubble-detection methods under test," Empirical Economics, Springer, volume 61, issue 1, pages 145-172, July, DOI: 10.1007/s00181-020-01859-7.
• Jiro Hodoshima, 2021, "Evaluation of performance of stock and real estate investment trust markets in Japan," Empirical Economics, Springer, volume 61, issue 1, pages 101-120, July, DOI: 10.1007/s00181-020-01869-5.
• Khamis Hamed Al-Yahyaee & Walid Mensi & Hee-Un Ko & Massimiliano Caporin & Sang Hoon Kang, 2021, "Is the Korean housing market following Gangnam style?," Empirical Economics, Springer, volume 61, issue 4, pages 2041-2072, October, DOI: 10.1007/s00181-020-01931-2.
• Dirk G. Baur & Thomas Dimpfl, 2021, "The volatility of Bitcoin and its role as a medium of exchange and a store of value," Empirical Economics, Springer, volume 61, issue 5, pages 2663-2683, November, DOI: 10.1007/s00181-020-01990-5.
• Wojciech Grabowski & Ewa Stawasz-Grabowska, 2021, "How have the European central bank’s monetary policies been affecting financial markets in CEE-3 countries?," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, volume 11, issue 1, pages 43-83, March, DOI: 10.1007/s40822-020-00160-3.
• Walid Chkili, 2021, "Modeling Bitcoin price volatility: long memory vs Markov switching," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, volume 11, issue 3, pages 433-448, September, DOI: 10.1007/s40822-021-00180-7.
• Begüm Yurteri Kösedağlı & Gül Huyugüzel Kışla & A. Nazif Çatık, 2021, "The time-varying effects of oil prices on oil–gas stock returns of the fragile five countries," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 7, issue 1, pages 1-22, December, DOI: 10.1186/s40854-020-00224-y.
• Roman Mestre, 2021, "A wavelet approach of investing behaviors and their effects on risk exposures," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 7, issue 1, pages 1-37, December, DOI: 10.1186/s40854-021-00239-z.
• Ji Ho Kwon, 2021, "On the factors of Bitcoin’s value at risk," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 7, issue 1, pages 1-31, December, DOI: 10.1186/s40854-021-00297-3.
• Kanishka Gupta & T. V. Raman, 2021, "The nexus of intellectual capital and operational efficiency: the case of Indian financial system," Journal of Business Economics, Springer, volume 91, issue 3, pages 283-302, April, DOI: 10.1007/s11573-020-00998-8.
• Ki-Hong Choi & Ron P. McIver & Salvatore Ferraro & Lei Xu & Sang Hoon Kang, 2021, "Dynamic volatility spillover and network connectedness across ASX sector markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 45, issue 4, pages 677-691, October, DOI: 10.1007/s12197-021-09544-w.
• Nils Bertschinger & Iurii Mozzhorin, 2021, "Bayesian estimation and likelihood-based comparison of agent-based volatility models," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 16, issue 1, pages 173-210, January, DOI: 10.1007/s11403-020-00289-z.
• Sumon Kumar Bhaumik & Manisha Chakrabarty & Ali M. Kutan & Ekta Selarka, 2021, "How Effective are Stock Market Reforms in Emerging Market Economies? Evidence from a Panel VAR Model of the Indian Stock Market," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 19, issue 4, pages 795-818, December, DOI: 10.1007/s40953-021-00253-z.
• Marta Karaś & Witold Szczepaniak, 2021, "Systemic Risk in Selected Countries of Western and Central Europe," Springer Proceedings in Business and Economics, Springer, in: Krzysztof Jajuga & Hermann Locarek-Junge & Lucjan T. Orlowski & Karsten Staehr, "Contemporary Trends and Challenges in Finance", DOI: 10.1007/978-3-030-73667-5_10.
• Shan Wu, 2021, "Co-movement and return spillover: evidence from Bitcoin and traditional assets," SN Business & Economics, Springer, volume 1, issue 10, pages 1-16, October, DOI: 10.1007/s43546-021-00126-w.
• Ayad Assoil & Ndéné Ka & Jules Sadefo-Kamdem, 2021, "Analysis of the dynamic relationship between liquidity proxies and returns on the French CAC 40 index," SN Business & Economics, Springer, volume 1, issue 10, pages 1-23, October, DOI: 10.1007/s43546-021-00129-7.
• Marcela de Marillac Carvalho & Luiz Otávio de Oliveira Pala & Gabriel Rodrigo Gomes Pessanha & Thelma Sáfadi, 2021, "Asymmetric dependence of intraday frequency components in the Brazilian stock market," SN Business & Economics, Springer, volume 1, issue 6, pages 1-18, June, DOI: 10.1007/s43546-021-00080-7.
• Dooruj Rambaccussing, 2021, "The price–rent ratio inequality in Scottish Cities: fluctuations in discount rates and expected rent growth," SN Business & Economics, Springer, volume 1, issue 9, pages 1-15, September, DOI: 10.1007/s43546-021-00116-y.
• Robert A. Jarrow, 2021, "The Black Scholes Merton Model," Springer Finance, Springer, chapter 0, "Continuous-Time Asset Pricing Theory", DOI: 10.1007/978-3-030-74410-6_5.
• Giada Adelfio & Arianna Agosto & Marcello Chiodi & Paolo Giudici, 2021, "Financial contagion through space-time point processes," Statistical Methods & Applications, Springer;Società Italiana di Statistica, volume 30, issue 2, pages 665-688, June, DOI: 10.1007/s10260-020-00538-2.
• Caner Özdurak & Cengiz KarataÅŸ, 2021, "Covid-19 and the Technology Bubble 2.0: Evidence from DCC-MGARCH and Wavelet Approaches," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 11, issue 2, pages 1-4.
• Roberto Louis Forestal & Shih Ming Pi, 2021, "Dynamic Equicorrelation Analysis of Financial Contagion: Evidence from Latin America Markets," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 11, issue 3, pages 1-2.
• Meglioli, Francesco & Gauci, Stephanie, 2021, "A Multi-level Network Approach to Spillovers Analysis: An Application to the Maltese Domestic Investment Funds Sector," ESRB Working Paper Series, European Systemic Risk Board, number 124, Aug.
• Martin Cesnak & Jan Klacso & Roman Vasil, 2021, "Analysis of the Impact of Borrower-Based Measures," Working and Discussion Papers, Research Department, National Bank of Slovakia, number OP 3/2021, Aug.
• Clements, Adam & Vasnev, Andrey, 2021, "Forecast combination puzzle in the HAR model," Working Papers, University of Sydney Business School, Discipline of Business Analytics, number BAWP-2021-01, Feb.
• Roman Frydman & Nicholas Mangee & Josh Stillwagon, 2021, "How Market Sentiment Drives Forecasts of Stock Returns," Journal of Behavioral Finance, Taylor & Francis Journals, volume 22, issue 4, pages 351-367, October, DOI: 10.1080/15427560.2020.1774769.
• Anne Opschoor & André Lucas & István Barra & Dick van Dijk, 2021, "Closed-Form Multi-Factor Copula Models With Observation-Driven Dynamic Factor Loadings," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 39, issue 4, pages 1066-1079, October, DOI: 10.1080/07350015.2020.1763806.
• Gonçalo Faria & Fabio Verona, 2021, "Time-frequency forecast of the equity premium," Quantitative Finance, Taylor & Francis Journals, volume 21, issue 12, pages 2119-2135, December, DOI: 10.1080/14697688.2020.1820071.
• Terri van der Zwan & Erik Hennink & Patrick Tuijp, 2021, "Equity Risk Factors for the Long and Short Run: Pricing and Performance at Different Frequencies," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 21-062/III, Jul.
• Andre Lucas & Anne Opschoor & Luca Rossini, 2021, "Tail Heterogeneity for Dynamic Covariance Matrices: the F-Riesz Distribution," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 21-010/III, Jan, revised 11 Jul 2023.
• Francisco Blasques & Enzo D'Innocenzo & Siem Jan Koopman, 2021, "Common and Idiosyncratic Conditional Volatility Factors: Theory and Empirical Evidence," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 21-057/III, Jun.
• Thomas Conlon & John Cotter & Iason Kynigakis, 2021, "Machine Learning and Factor-Based Portfolio Optimization," Working Papers, Geary Institute, University College Dublin, number 202111, Mar.
• Ana-Maria Fuertes & Maria-Dolores Robles, 2021, "Bank Credit Risk Events and Peers’ Equity Value," Documentos de Trabajo del ICAE, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, number 2021-06, Mar.
• Ömer Yalçinkaya & Ali Kemal Çelik & Hatira Sadeghzadeh Emsen, 2021, "The relationship between price and financial stability in new monetary policy designs: the case of the US using the TVP-SVAR model," Estudios de Economia, University of Chile, Department of Economics, volume 48, issue 2 Year 20, pages 249-276, December.
• Mubarok, Faizul & Al Arif, Mohammad Nur Rianto, 2021, "Pandemic Attack and Islamic Stocks Index: A Cross Country Analysis," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, volume 55, issue 1, pages 27-37, DOI: http://dx.doi.org/10.17576/JEM-2021.
• Hossain, Md. Jamal & Akter, Sadia & Ismail, Mohd Tahir, 2021, "Performance Analysis of GARCH Family Models in Three Time-frames," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, volume 55, issue 2, pages 15-28, DOI: http://dx.doi.org/10.17576/JEM-2021.
• Mohamed CHIKHI & Claude DIEBOLT, 2021, "Testing The Weak Form Efficiency Of The French Etf Market With Lstar-Anlstgarch Approach Using A Semiparametric Estimation," Working Papers of BETA, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg, number 2021-36.
• Fengler, Matthias & Polivka, Jeannine, 2021, "Proxy-identification of a structural MGARCH model for asset returns," Economics Working Paper Series, University of St. Gallen, School of Economics and Political Science, number 2103, Apr, revised Oct 2024.
• Pietro Saggese & Alessandro Belmonte & Nicola Dimitri & Angelo Facchini & Rainer Böhme, 2021, "Who are the arbitrageurs? Empirical evidence from Bitcoin traders in the Mt. Gox exchange platform," Department of Economics University of Siena, Department of Economics, University of Siena, number 860, Sep.
• Huthaifa, Alqaralleh & Al-Saraireh, Ahmad & Canepa, Alessandra, 2021, "Energy Market Risk Management under Uncertainty: A VaR Based on Wavelet Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers, University of Turin, number 202113, Jul.
• Monica Billio & Roberto Casarin & Michele Costola & Matteo Iacopini, 2021, "COVID-19 spreading in financial networks: A semiparametric matrix regression model," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2021:05.
• Le Dinh Nghi & Nguyen Minh Kieu, 2021, "Volatility Spillover from the United States and Japanese Stock Markets to the Vietnamese Stock Market: A Frequency Domain Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, volume 68, issue 1, pages 35-52.
• Siemaszkiewicz Karolina, 2021, "Safe Haven Instruments – A Comparison Between the Global Financial Crisis and the Covid-19 Pandemic," Econometrics. Advances in Applied Data Analysis, Sciendo, volume 25, issue 4, pages 1-16, December, DOI: 10.15611/eada.2021.4.01.
• Razali Muhammad Najib & Jalil Rohaya Abdul & Shayuti Ahmad Faisal, 2021, "Assessing the Impact of Outbreaks on Malaysian Listed Property Companies in Mixed-Asset Portfolios," Real Estate Management and Valuation, Sciendo, volume 29, issue 3, pages 87-93, September, DOI: 10.2478/remav-2021-0024.
• Adejare Adegbite Tajudeen, 2021, "Taxation and Transportation: Granger Causality Approach in Nigeria," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, volume 31, issue 3, pages 1-20, September, DOI: 10.2478/sues-2021-0011.
• Raza Syed Ali & Shah Nida & Ali Muhammad & Shahbaz Muhammad, 2021, "Do Exchange Rates Fluctuations Influence Gold Price in G7 Countries? New Insights from a Nonparametric Causality-in-Quantiles Test," Zagreb International Review of Economics and Business, Sciendo, volume 24, issue 2, pages 37-57, DOI: 10.2478/zireb-2021-0010.
• Mateusz Buczyński & Marcin Chlebus, 2021, "GARCHNet - Value-at-Risk forecasting with novel approach to GARCH models based on neural networks," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-08.
• Michał Woźniak & Marcin Chlebus, 2021, "HCR & HCR-GARCH – novel statistical learning models for Value at Risk estimation," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-10.
• Kamil Korzeń & Robert Ślepaczuk, 2021, "Enhanced Index Replication Based on Smart Beta and Tail-Risk Asset Allocation," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-18.
• Jan Grudniewicz & Robert Ślepaczuk, 2021, "Application of machine learning in quantitative investment strategies on global stock markets," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-23.
• Nguyen Vo & Robert Ślepaczuk, 2021, "Applying Hybrid ARIMA-SGARCH in Algorithmic Investment Strategies on S&P500 Index," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-25.
• Sergio Castellano Gómez & Robert Ślepaczuk, 2021, "Robust optimisation in algorithmic investment strategies," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-27.
• Aleksander Schiffers & Marcin Chlebus, 2021, "The effectiveness of Value-at-Risk models in various volatility regimes," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-28.
• Maaz Khan & Faheem Aslam & Paulo Ferreira, 2021, "Extreme Value Theory and COVID-19 Pandemic: Evidence from India," Economic Research Guardian, Mutascu Publishing, volume 11, issue 1, pages 2-10, June.
• Hubert Gabrisch, 2021, "GARCH Analyses of Risk and Uncertainty in the Theories of the Interest Rate of Keynes and Kalecki," wiiw Working Papers, The Vienna Institute for International Economic Studies, wiiw, number 191, Jan.
• Mehmet Balcilar & Zeynel Abidin Ozdemir & Huseyin Ozdemir, 2021, "Dynamic return and volatility spillovers among S&P 500, crude oil, and gold," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 26, issue 1, pages 153-170, January, DOI: 10.1002/ijfe.1782.
• Dinghai Xu, 2021, "A study on volatility spurious almost integration effect: A threshold realized GARCH approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 26, issue 3, pages 4104-4126, July, DOI: 10.1002/ijfe.2006.
• Ruben Loaiza‐Maya & Gael M. Martin & David T. Frazier, 2021, "Focused Bayesian prediction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 36, issue 5, pages 517-543, August, DOI: 10.1002/jae.2810.
• Janis Becker & Christian Leschinski, 2021, "Estimating the volatility of asset pricing factors," Journal of Forecasting, John Wiley & Sons, Ltd., volume 40, issue 2, pages 269-278, March, DOI: 10.1002/for.2713.
• Chabi-Yo, Fousseni & Huggenberger, Markus & Weigert, Florian, 2021, "Multivariate crash risk," CFR Working Papers, University of Cologne, Centre for Financial Research (CFR), number 21-07.
• Winkelmann, Lars & Yao, Wenying, 2021, "Tests for jumps in yield spreads," Discussion Papers, Free University Berlin, School of Business & Economics, number 2021/15, DOI: 10.17169/refubium-32211.
• Ben Amor, Souhir & Althof, Michael & Härdle, Wolfgang Karl, 2021, "FRM Financial Risk Meter for Emerging Markets," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2021-002.
• Häusler, Konstantin & Härdle, Wolfgang, 2021, "Rodeo or ascot: Which hat to wear at the crypto race?," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2021-007.
• Wang, Ruting & Althof, Michael & Härdle, Wolfgang, 2021, "A financial risk meter for China," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2021-022.
• Abdi, Farshid & Kormanyos, Emily & Pelizzon, Loriana & Getmansky, Mila & Simon, Zorka, 2021, "Market impact of government communication: The case of presidential tweets," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 314, revised 2021, DOI: 10.2139/ssrn.3840203.
• Caporina, Massimiliano & Costola, Michele, 2021, "Time-varying granger causality tests for applications in global crude oil markets: A study on the DCC-MGARCH Hong test," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 324, DOI: 10.2139/ssrn.3941778.

2020

• Saker Sabkha & Christian de Peretti & Sabrine Mallek, 2020, "Forecasting sovereign CDS volatility: A comparison of univariate GARCH-class models," Post-Print, HAL, number hal-01769390, Jun, DOI: 10.3917/vse.209.0027.
• Gazi Salah Uddin & Jose Arreola Hernandez & Syed Jawad Hussain Shahzad & Sang Hoon Kang, 2020, "Characteristics of spillovers between the US stock market and precious metals and oil," Post-Print, HAL, number hal-02489889, Jun, DOI: 10.1016/j.resourpol.2020.101601.
• Caio Almeida & Kim Ardison & René Garcia, 2020, "Nonparametric Assessment of Hedge Fund Performance," Post-Print, HAL, number hal-02550789, Feb, DOI: 10.1016/j.jeconom.2019.08.002.
• Waqas Hanif & Jose Arreola Hernandez & Perry Sadorsky & Seong-Min Yoon, 2020, "Are the interdependence characteristics of the US and Canadian energy equity sectors nonlinear and asymmetric?," Post-Print, HAL, number hal-02567429, Jan, DOI: 10.1016/j.najef.2019.101065.
• Refk Selmi & Jamal Bouoiyour & Amal Miftah, 2020, "Oil price jumps and the uncertainty of oil supplies in a geopolitical perspective: The role of OPEC’s spare capacity," Post-Print, HAL, number hal-02933536, Dec, DOI: 10.1016/j.inteco.2020.06.004.
• Jose Arreola Hernandez & Sang Hoon Kang & Syed Jawad Hussain Shahzad & Seong-Min Yoon, 2020, "Spillovers and diversification potential of bank equity returns from developed and emerging America," Post-Print, HAL, number hal-02966894, Nov, DOI: 10.1016/j.najef.2020.101219.
• Taoufik Bouraoui, 2020, "The drivers of Bitcoin trading volume in selected emerging countries," Post-Print, HAL, number hal-03004413, May, DOI: 10.1016/j.qref.2019.07.003.
• Faheem Aslam & Yasir Tariq Mohmand & Saqib Aziz & Jamal Ouenniche, 2020, "A complex networks based analysis of jump risk in equity returns: An evidence using intraday movements from Pakistan stock market," Post-Print, HAL, number hal-03160685, Dec, DOI: 10.1016/j.jbef.2020.100418.
• Soosung Hwang & Alexandre Rubesam, 2020, "Bayesian Selection of Asset Pricing Factors Using Individual Stocks," Post-Print, HAL, number hal-03275900, Dec, DOI: 10.1093/jjfinec/nbaa045.
• Ruanmin Cao & Lajos Horváth & Zhenya Liu & Yuqian Zhao, 2020, "A study of data-driven momentum and disposition effects in the Chinese stock market by functional data analysis," Post-Print, HAL, number hal-03511284, Jan, DOI: 10.1007/s11156-019-00791-x.
• Marwa Talbi & Christian de Peretti & Lotfi Belkacem, 2020, "Dynamics and causality in distribution between spot and future precious metals: A copula approach," Post-Print, HAL, number hal-04875503, Jun, DOI: 10.1016/j.resourpol.2020.101645.
• Rihem Braham & Christian de Peretti & Lotfi Belkacem, 2020, "Dynamics and causality in distribution between spot and future precious metals: A copula approach," Post-Print, HAL, number hal-04875511, Jun, DOI: 10.1016/j.ribaf.2020.101184.
• Marwa Talbi & Rihab Bedoui & Christian de Peretti & Lotfi Belkacem, 2020, "Is the role of precious metals as precious as they are? Revisiting the role of precious metals for the G-7 stock markets: A multivariate vine copula and BiVaR approaches," Working Papers, HAL, number hal-01664146, Jul.
• Zoulkiflou Moumouni & Jules Sadefo-Kamdem, 2020, "Agricultural Production Decision using Jumps and Seasonal Volatility in commodities prices dynamics," Working Papers, HAL, number hal-02465046, Jan.
• John W Goodell & Stéphane Goutte, 2020, "Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis," Working Papers, HAL, number halshs-02613277, May.
• Denisa Banulescu & Christophe Hurlin & Jeremy Leymarie & Olivier Scaillet, 2020, "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Working Papers, HAL, number halshs-03088668, Dec, DOI: 10.2139/ssrn.3456052.
• Sibbertsen, Philipp & Wenger, Kai & Wingert, Simon, 2020, "Testing for Multiple Structural Breaks in Multivariate Long Memory Time Series," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-676, Nov.
• Alfelt, Gustav & Mazur, Stepan, 2020, "On the mean and variance of the estimated tangency portfolio weights for small samples," Working Papers, Örebro University, School of Business, number 2020:8, Sep.
• Alfelt, Gustav & Bodnar, Taras & Javed, Farrukh & Tyrcha, Joanna, 2020, "Singular conditional autoregressive Wishart model for realized covariance matrices," Working Papers, Örebro University, School of Business, number 2021:1, Oct.
• Lundström, Christian, 2020, "On the Profitability of Momentum Strategies and Optimal Leverage Rules," Umeå Economic Studies, Umeå University, Department of Economics, number 974, May.
• Matthew Greenwood-Nimmo & Viet Hoang Nguyen & Eliza Wu, 2020, "On the International Spillover Effects of Country-Specific Financial Sector Bailouts and Sovereign Risk Shocks," Melbourne Institute Working Paper Series, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, number wp2020n22, Nov.
• Burhanuddin, 2020, "Investigating Volatility Behaviour: Empirical Evidence From Islamic Stock Indices," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, volume 6, issue 4, pages 729-746, November, DOI: https://doi.org/10.21098/jimf.v6i4..
• Silvio Contessi & Pierangelo De Pace & Massimo Guidolin, 2020, "Mildly Explosive Dynamics in U.S. Fixed Income Markets," Working Papers, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University, number 667.
• Mukta Kanvinde & Muneer Shaik, 2020, "Are BRICS Stock Market Indices Mean Reverting? Evidence Based on Expected Lifetime Range Ratio," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, volume 19, issue 2, pages 169-186, September.
• Rey Francisco Ayala Castrejon & Christian Bucio Pacheco, 2020, "Modelo ARIMA aplicado al tipo de cambio peso-dólar en el periodo 2016-2017 mediante ventanas temporales deslizantes," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 15, issue 3, pages 331-354, Julio - S.
• Chaman Prakash Sharma & Dr. Aditya Singh, 2020, "Progress and Performance of Kisan Credit Card (KCC) scheme in India since 1998," Journal of Commerce and Trade, Society for Advanced Management Studies, volume 15, issue 1, pages 1-8, April.
• Sujoy Bhattacharya & Anuj Goel, 2020, "Customer Satisfaction A New Marketing Variable for Indian Petroleum Companies," Journal of Commerce and Trade, Society for Advanced Management Studies, volume 15, issue 1, pages 58-64, April.
• Ravindra Kumar & Dr. Himanshu Agarwal, 2020, "Employment Opportunities & Retention for Women in Information Technology Sector," Journal of Commerce and Trade, Society for Advanced Management Studies, volume 15, issue 1, pages 73-79, April.
• Jochen Güntner & Benjamin Karner, 2020, "Hedging with commodity futures and the end of normal Backwardation," Economics working papers, Department of Economics, Johannes Kepler University Linz, Austria, number 2020-21, Nov.
• Simmet Anastasia & Pohlmeier Winfried, 2020, "The CAPM with Measurement Error: ‘There’s life in the old dog yet!’," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 240, issue 4, pages 417-453, August, DOI: 10.1515/jbnst-2018-0089.
• Zongwu Cai & Haiqiang Chen & Xiaosai Liao, 2020, "A New Robust Inference for Predictive Quantile Regression," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202002, Feb, revised Feb 2020.
• Caio Vigo Pereira & Marcio Laurini, 2020, "Portfolio Efficiency Tests with Conditioning Information - Comparing GMM and GEL Estimators," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202014, Sep, revised Sep 2020.
• Zongwu Cai & Xiyuan Liu, 2020, "A Functional-Coefficient VAR Model for Dynamic Quantiles with Constructing Financial Network," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202017, Oct, revised Oct 2020.
• Fukang Zhu & Mengya Liu & Shiqing Ling & Zongwu Cai, 2020, "Testing for Structural Change of Predictive Regression Model to Threshold Predictive Regression Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202021, Dec, revised Dec 2020.
• Zongwu Cai & Xiyuan Liu, 2020, "A Nonparametric Dynamic Network via Multivariate Quantile Autoregressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202209, Oct, revised Mar 2022.
• Zongwu Cai & Xiyuan Liu & Liangjun Su, 2020, "A Functional-Coefficient VAR Model for Dynamic Quantiles and Its Application to Constructing Nonparametric Financial Network," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202406, Oct, revised Jan 2024.
• Mawuli Segnon & Stelios Bekiros, 2020, "Forecasting volatility in bitcoin market," Annals of Finance, Springer, volume 16, issue 3, pages 435-462, September, DOI: 10.1007/s10436-020-00368-y.
• Jiro Hodoshima & Tetsuya Misawa & Yoshio Miyahara, 2020, "Stock Performance Evaluation Incorporating High Moments and Disaster Risk: Evidence from Japan," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, volume 27, issue 2, pages 155-174, June, DOI: 10.1007/s10690-019-09287-z.
• Katsuya Ito & Ryuta Sakemoto, 2020, "Direct Estimation of Lead–Lag Relationships Using Multinomial Dynamic Time Warping," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, volume 27, issue 3, pages 325-342, September, DOI: 10.1007/s10690-019-09295-z.
• Murat Midiliç, 2020, "Estimation of STAR–GARCH Models with Iteratively Weighted Least Squares," Computational Economics, Springer;Society for Computational Economics, volume 55, issue 1, pages 87-117, January, DOI: 10.1007/s10614-018-9876-8.
• Muneer Shaik & S. Maheswaran, 2020, "A new unbiased additive robust volatility estimation using extreme values of asset prices," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 34, issue 3, pages 313-347, September, DOI: 10.1007/s11408-020-00355-3.
• Minoru Tachibana, 2020, "Flight-to-quality in the stock–bond return relation: a regime-switching copula approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 34, issue 4, pages 429-470, December, DOI: 10.1007/s11408-020-00361-5.
• Pedro Raffy Vartanian, 2020, "Volatility transmission between commodities and Ibovespa in the period 2000–2016: Is there a possibility of diversification?," International Economics and Economic Policy, Springer, volume 17, issue 2, pages 483-501, May, DOI: 10.1007/s10368-019-00458-x.
• Ruanmin Cao & Lajos Horváth & Zhenya Liu & Yuqian Zhao, 2020, "A study of data-driven momentum and disposition effects in the Chinese stock market by functional data analysis," Review of Quantitative Finance and Accounting, Springer, volume 54, issue 1, pages 335-358, January, DOI: 10.1007/s11156-019-00791-x.
• Robina Iqbal & Ghulam Sorwar & Rose Baker & Taufiq Choudhry, 2020, "Multiday expected shortfall under generalized t distributions: evidence from global stock market," Review of Quantitative Finance and Accounting, Springer, volume 55, issue 3, pages 803-825, October, DOI: 10.1007/s11156-019-00860-1.
• Vaclav Broz & Evzen Kocenda, 2020, "Mortgage-related bank penalties and systemic risk among U.S. banks," KIER Working Papers, Kyoto University, Institute of Economic Research, number 1024, Mar.
• Klenio Barbosa & Dakshina De Silva & Liyu Yang & Hisayuki Yoshimoto, 2020, "Bond Losses and Systemic Risk," Working Papers, Lancaster University Management School, Economics Department, number 288072615.
• Javier Emmanuel Anguiano Pita & Antonio Ruiz Porras, 2020, "Market dynamics and integration of the financial markets of the NAFTA countries," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 92, pages 67-100, Enero-Jun, DOI: 10.17533/udea.le.n92a03.
• Ruijun Bu & Jihyun Kim & Bin Wang, 2020, "Uniform and Lp Convergences of Nonparametric Estimation for Diffusion Models," Working Papers, University of Liverpool, Department of Economics, number 202021, Jul.
• Keshavarz Haddad, Gholamreza & Heidari, Hadi, 2020, "Optimal Portfolio Allocation with Price Limit Constraint," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, volume 15, issue 2, pages 123-134, April.
• Gholami, Ahmad & Salimi Soderjani, Ehsan, 2020, "Volatility Spillover of the Exchange Rate and the Global Economy on Iran Stock Market," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, volume 15, issue 3, pages 343-356, July.
• Jonah B. Gelbach & Jenny R. Hawkins, 2020, "A Bayesian Approach to Event Studies for Securities Litigation," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, volume 176, issue 1, pages 86-111, DOI: 10.1628/jite-2020-0012.
• Eszter Boros, 2020, "Risks of Climate Change and Credit Institution Stress Tests," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), volume 19, issue 4, pages 107-131.
• Ruben Loaiza-Maya & Gael M Martin & David T. Frazier, 2020, "Focused Bayesian Prediction," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 1/20.
• Worapree Maneesoonthorn & Gael M. Martin & Catherine S. Forbes, 2020, "High-Frequency Jump Tests: Which Test Should We Use?," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 3/20.
• Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Andres Ramirez Hassan, 2020, "Optimal probabilistic forecasts: When do they work?," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 33/20.