Research classified by Journal of Economic Literature (JEL) codes

2021

• Ishay Wolf & Jose Maria Caridad y Ocerin, 2021, "The transition to a multi-pillar pension system: the inherent socio-economic anomaly," Journal of Financial Economic Policy, Emerald Group Publishing Limited, volume 13, issue 6, pages 755-771, February, DOI: 10.1108/JFEP-07-2020-0162.
• Mustapha Ishaq Akinlaso & Aroua Robbana & Nura Mohamed, 2021, "Volatility transmission within financial markets during the COVID-19 pandemic: are faith-based investors well off in Tunisia?," Journal of Islamic Accounting and Business Research, Emerald Group Publishing Limited, volume 13, issue 1, pages 98-113, December, DOI: 10.1108/JIABR-12-2020-0388.
• Ka Shing Cheung & Joshua Lee, 2021, "The effect of sentiment on commercial real estate returns: investor and occupier perspectives," Journal of Property Investment & Finance, Emerald Group Publishing Limited, volume 39, issue 6, pages 561-589, January, DOI: 10.1108/JPIF-01-2020-0010.
• Sebastian Schlütter, 2021, "Scenario-based measurement of interest rate risks," Journal of Risk Finance, Emerald Group Publishing Limited, volume 22, issue 1, pages 56-77, May, DOI: 10.1108/JRF-11-2020-0228.
• Bei Chen & Quan Gan, 2021, "Measuring gambling activity in options market," Review of Behavioral Finance, Emerald Group Publishing Limited, volume 14, issue 3, pages 345-378, March, DOI: 10.1108/RBF-08-2020-0206.
• Tonmoy Choudhury & Kevin Daly, 2021, "Systemic risk contagion within US states," Studies in Economics and Finance, Emerald Group Publishing Limited, volume 38, issue 4, pages 836-860, May, DOI: 10.1108/SEF-08-2020-0342.
• Ramiro Bautista Espinosa & Diana Terrazas Santamaría, 2021, "La viabilidad de invertir en almacenamiento de energía solar en México: un enfoque de opciones reales," Serie documentos de trabajo del Centro de Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, number 2021-09, Nov.
• Andrzej Geise & Magdalena Kuczmarska & Jarosław Pawlowski, 2021, "Corporate Failure Prediction of Construction Companies in Poland: Evidence from Logit Model," European Research Studies Journal, European Research Studies Journal, volume 0, issue 1, pages 99-116.
• Eryka Probierz & Adam Galuszka & Katarzyna Klimczak & Karol Jedrasiak & Tomasz Wisniewski & Tomasz Dzida, 2021, "Financial Sentiment on Twitter's Community and it's Connection to Polish Stock Market Movements in Context of Behavior Modelling," European Research Studies Journal, European Research Studies Journal, volume 0, issue 4 - Part , pages 56-65.
• Bartosz Chorkowy & Agnieszka Bobrowska, 2021, "Influence of Pillar 3 of Pension System on Retirement Pensions Level in Poland: Will Voluntary Part of System Enable Decent Life in Old Age?," European Research Studies Journal, European Research Studies Journal, volume 0, issue Special 1, pages 975-988.
• Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo MM & Taylor, AM Robert, 2022, "Extensions to IVX Methods of Inference for Return Predictability," Essex Finance Centre Working Papers, University of Essex, Essex Business School, number 29779, Feb.
• Martin Mandel & Jan Vejmelek, 2021, "Testing the Properties of Financial Analysts’ Predictions of Future Spot Exchange Rates (Example of CZK/EUR)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 71, issue 1, pages 33-51, June.
• Michal Kuchta, 2021, "Scenario Generation for IFRS9 Purposes using a Bayesian MS-VAR Model," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2021/10, Apr, revised Apr 2021.
• Barbora Malinska, 2021, "Forecasting Sovereign Bond Realized Volatility Using Time-Varying Coefficients Model," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2021/19, Jun, revised Jun 2021.
• Jens H. E. Christensen & Mark M. Spiegel, 2022, "Central Bank Credibility During COVID-19: Evidence from Japan," Working Paper Series, Federal Reserve Bank of San Francisco, number 2021-24, Aug, DOI: 10.24148/wp2021-24.
• Marcin Dec, 2021, "Parsimonious yield curve modeling in less liquid markets," GRAPE Working Papers, GRAPE Group for Research in Applied Economics, number 52.
• Abramov Alexander & Kosyrev Andrey & Radygin Alexander & Chernova Maria, 2021, "Behavior of Private Investors in the Stock Markets of Russia and the US
  [Поведение Частных Инвесторов На Фондовых Рынках России И Сша]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 54-59, December.
• Abramov Alexander & Kosyrev Andrey & Radygin Alexander & Chernova Maria, 2021, "Поведение Частных Инвесторов На Фондовых Рынках России И Сша," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 54-59, December.
• Paul Anglin & Jianxin Cui & Yanmin Gao & Li Zhang, 2021, "Analyst Forecasts during the COVID-19 Pandemic: Evidence from REITs," JRFM, MDPI, volume 14, issue 10, pages 1-21, September.
• Tamás Kiss & Hoang Nguyen & Pär Österholm, 2021, "Modelling Returns in US Housing Prices—You’re the One for Me, Fat Tails," JRFM, MDPI, volume 14, issue 11, pages 1-17, October.
• Joana Almeida & Raquel M. Gaspar, 2021, "Accuracy of European Stock Target Prices," JRFM, MDPI, volume 14, issue 9, pages 1-27, September.
• Rui Pedro Brito & Pedro Alarcão Judice, 2021, "Efficient credit portfolios under IFRS 9," CeBER Working Papers, Centre for Business and Economics Research (CeBER), University of Coimbra, number 2021-07, Jul.
• Sabri Boubaker & Zhenya Liu & Shanglin Lu & Yifan Zhang, 2021, "Trading signal, functional data analysis and time series momentum," Post-Print, HAL, number hal-03323675, Oct, DOI: 10.1016/j.frl.2021.101933.
• Zhenya Liu & Shanglin Lu & Shixuan Wang, 2021, "Asymmetry, tail risk and time series momentum," Post-Print, HAL, number hal-03511436, Nov, DOI: 10.1016/j.irfa.2021.101938.
• Fredj Jawadi & Hachmi Ben Ameur & Stephanie Bigou & Alexis Flageollet, 2021, "Does the Real Business Cycle Help Forecast the Financial Cycle?," Post-Print, HAL, number hal-04478764, Sep, DOI: 10.1007/s10614-021-10193-8.
• Khalid Ahmed Al-Ansari & Ahmet Faruk Aysan, 2021, "More than ten years of Blockchain creation: How did we use the technology and which direction is the research heading?
  [Plus de dix ans de création Blockchain : Comment avons-nous utilisé la technologie et dans quelle direction se dirige la recher," Working Papers, HAL, number hal-03343048, Sep.
• Virk, Nader & Javed, Farrukh & Awartani, Basel, 2021, "A reality check on the GARCH-MIDAS volatility models," Working Papers, Örebro University, School of Business, number 2021:2, Mar.
• Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang & Österholm, Pär, 2021, "Modelling the Relation between the US Real Economy and the Corporate Bond-Yield Spread in Bayesian VARs with non-Gaussian Disturbances," Working Papers, Örebro University, School of Business, number 2021:9, May.
• Bianchi, Daniele & Babiak, Mykola, 2021, "On the Performance of Cryptocurrency Funds," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 408, Nov.
• Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2021, "Forecasting Daily Volatility of Stock Price Index Using Daily Returns and Realized Volatility," Discussion paper series, Hitotsubashi Institute for Advanced Study, Hitotsubashi University, number HIAS-E-104, Jan.
• Shih-Ping Feng, 2021, "The Information Content Of Option Trading And Liquidity Risk," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, volume 15, issue 1, pages 89-98.
• David Conaly Martínez Vázquez & Christian Bucio Pacheco & Alejandra Cabello Rosales, 2021, "Proyección Markoviana para 2020 y 2021 de las Calificaciones Corporativas en México," 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 16, issue 1, pages 1-21, Enero - M.
• Jaime Alberto Gómez Vilchis & Federico Hernández Álvarez & Luis Ignacio Román de la Sancha, 2021, "Autómata Evolutivo (AE) para el mercado accionario usando Martingalas y un Algoritmo Genético," 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 16, issue 4, pages 1-22, Octubre -.
• Erdinc Akyildirim & Ahmet Goncu & Alper Hekimoglu & Duc Khuong Nguyen & Ahmet Sensoy, 2021, "Statistical Arbitrage: Factor Investing Approach," Working Papers, Department of Research, Ipag Business School, number 2021-003, Jan.
• Juan David Vega Baquero & Miguel Santolino, 2021, ""Too big to fail? An analysis of the Colombian banking system through compositional data"," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 202111, Apr, revised Apr 2021.
• Brandon Flores & Blessing Ofori-Atta & Andrey Sarantsev, 2021, "A stock market model based on CAPM and market size," Annals of Finance, Springer, volume 17, issue 3, pages 405-424, September, DOI: 10.1007/s10436-021-00390-8.
• Louie Ren & Peter Ren, 2021, "On Hoover’s Scale-Free Forecast Accuracy Metric MAD/MEAN," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, volume 28, issue 2, pages 153-168, June, DOI: 10.1007/s10690-020-09311-7.
• Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou, 2021, "Gold Against the Machine," Computational Economics, Springer;Society for Computational Economics, volume 57, issue 1, pages 5-28, January, DOI: 10.1007/s10614-020-10019-z.
• Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2021, "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Computational Economics, Springer;Society for Computational Economics, volume 57, issue 1, pages 29-53, January, DOI: 10.1007/s10614-020-10022-4.
• Indranil Ghosh & Manas K. Sanyal & R. K. Jana, 2021, "Co-movement and Dynamic Correlation of Financial and Energy Markets: An Integrated Framework of Nonlinear Dynamics, Wavelet Analysis and DCC-GARCH," Computational Economics, Springer;Society for Computational Economics, volume 57, issue 2, pages 503-527, February, DOI: 10.1007/s10614-019-09965-0.
• Julien Chevallier & Bangzhu Zhu & Lyuyuan Zhang, 2021, "Forecasting Inflection Points: Hybrid Methods with Multiscale Machine Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, volume 57, issue 2, pages 537-575, February, DOI: 10.1007/s10614-019-09966-z.
• Daniel Hofmann & Karl Ludwig Keiber, 2021, "Seasonalities in the German stock market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 35, issue 2, pages 151-192, June, DOI: 10.1007/s11408-020-00373-1.
• Guglielmo Maria Caporale & Alex Plastun, 2021, "Gold and oil prices: abnormal returns, momentum and contrarian effects," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 35, issue 3, pages 353-368, September, DOI: 10.1007/s11408-021-00380-w.
• Benjamin R. Auer, 2021, "Have trend-following signals in commodity futures markets become less reliable in recent years?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 35, issue 4, pages 533-553, December, DOI: 10.1007/s11408-021-00385-5.
• Lu Zhang & Yuan George Shan & Millicent Chang, 2021, "Can CSR Disclosure Protect Firm Reputation During Financial Restatements?," Journal of Business Ethics, Springer, volume 173, issue 1, pages 157-184, September, DOI: 10.1007/s10551-020-04527-z.
• Ryan G. Chacon & Dan W. French & Kuntara Pukthuanthong, 2021, "The Information Content of NAV Estimates," The Journal of Real Estate Finance and Economics, Springer, volume 63, issue 4, pages 598-629, November, DOI: 10.1007/s11146-020-09760-x.
• Dimitrios Koutmos & James E. Payne, 2021, "Intertemporal asset pricing with bitcoin," Review of Quantitative Finance and Accounting, Springer, volume 56, issue 2, pages 619-645, February, DOI: 10.1007/s11156-020-00904-x.
• A. Hachicha & F. Hachicha, 2021, "Analysis of the bitcoin stock market indexes using comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, volume 56, issue 2, pages 647-673, February, DOI: 10.1007/s11156-020-00905-w.
• Alex YiHou Huang & Ming-Che Hu & Quang Thai Truong, 2021, "Asymmetrical impacts from overnight returns on stock returns," Review of Quantitative Finance and Accounting, Springer, volume 56, issue 3, pages 849-889, April, DOI: 10.1007/s11156-020-00911-y.
• Kim Kaivanto & Peng Zhang, 2021, "Is Business Formation Driven by Sentiment or Fundamentals?," Working Papers, Lancaster University Management School, Economics Department, number 332157433.
• Hui Chen & Antoine Didisheim & Simon Scheidegger, 2021, "Deep Structural Estimation:With an Application to Option Pricing," Cahiers de Recherches Economiques du Département d'économie, Université de Lausanne, Faculté des HEC, Département d’économie, number 21.14, Feb.
• Andreï Kostyrka & Dmitry Igorevich Malakhov,, 2021, "The good, the bad, and the asymmetric: Evidence from a new conditional density model," DEM Discussion Paper Series, Department of Economics at the University of Luxembourg, number 21-09.
• Feghhi Kashani, Mohammad & Mohebimajd, Ahmadreza, 2021, "Outperformance Testing of a Dynamic Assets Portfolio Selection Supplemented with a Continuous Paths Levy Process," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, volume 16, issue 2, pages 253-282, June.
• Theologos Dergiades & Panos K. Pouliasis, 2021, "Should Stock Returns Predictability be hooked on Long Horizon Regressions?," Discussion Paper Series, Department of Economics, University of Macedonia, number 2021_03, Feb, revised Feb 2021.
• João Frois Caldeira & Rangan Gupta & Muhammad Tahir Suleman & Hudson S. Torrent, 2021, "Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, volume 57, issue 15, pages 4312-4329, December, DOI: 10.1080/1540496X.2020.1808458.
• Barnabas Timar, 2021, "How Does the Market Price Responsible and Sustainable Investments?," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), volume 20, issue 2, pages 117-147.
• Marek Sojka, 2021, "PEAD na polskim rynku akcji," Bank i Kredyt, Narodowy Bank Polski, volume 52, issue 2, pages 143-166.
• Sylwia Radomska, 2021, "Prognozowanie indeksu WIG20 za pomocą sieci neuronowych NARX i metody SVM," Bank i Kredyt, Narodowy Bank Polski, volume 52, issue 5, pages 457-472.
• Theis Ingerslev Jensen & Bryan T. Kelly & Lasse Heje Pedersen, 2021, "Is There A Replication Crisis In Finance?," NBER Working Papers, National Bureau of Economic Research, Inc, number 28432, Feb.
• Torben G. Andersen & Rasmus T. Varneskov, 2021, "Consistent Inference for Predictive Regressions in Persistent Economic Systems," NBER Working Papers, National Bureau of Economic Research, Inc, number 28568, Mar.
• Torben G. Andersen & Rasmus T. Varneskov, 2021, "Consistent Local Spectrum (LCM) Inference for Predictive Return Regressions," NBER Working Papers, National Bureau of Economic Research, Inc, number 28569, Mar.
• Torben G. Andersen & Rasmus T. Varneskov, 2021, "Testing for Parameter Instability and Structural Change in Persistent Predictive Regressions," NBER Working Papers, National Bureau of Economic Research, Inc, number 28570, Mar.
• Chi Heem Wong & Dexin Li & Nina Wang & Jonathan Gruber & Rena M. Conti & Andrew W. Lo, 2021, "Estimating the Financial Impact of Gene Therapy in the U.S," NBER Working Papers, National Bureau of Economic Research, Inc, number 28628, Apr.
• Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco C. Sammon, 2021, "What Triggers Stock Market Jumps?," NBER Working Papers, National Bureau of Economic Research, Inc, number 28687, Apr.
• Charles W. Calomiris & Nida Çakır Melek & Harry Mamaysky, 2021, "Predicting the Oil Market," NBER Working Papers, National Bureau of Economic Research, Inc, number 29379, Oct.
• E Philip Davis & Ka Kei Chan & Dilruba Karim, 2021, "Macroprudential Policy, Bank Competition and Bank Risk in East Asia," National Institute of Economic and Social Research (NIESR) Discussion Papers, National Institute of Economic and Social Research, number 533, Dec.
• Laurentiu DROJ & Gabriela DROJ, 2021, "Considerations Regarding The Impact Of The Covid-19 Pandemics Over The Financial Performance At The Level Of The Tourism Companies Operating In Central And Eastern Europe," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, volume 30, issue 2, pages 291-298, December.
• Iulian-Cornel LOLEA & Ioan-Radu PETRARIU & Adriana GIURGIU, 2021, "ARIMA vs. MACHINE LEARNING IN TERMS OF EQUITY MARKET FORECASTING," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, volume 30, issue 2, pages 299-308, December.
• Takuro Hidaka & Jun Sakamoto, 2021, "Predictability of market returns for the UK's former colonies, protectorates, and mandates," Discussion Papers in Economics and Business, Osaka University, Graduate School of Economics, number 21-08, Jun.
• Takuro Hidaka & Yuta Saito & Jun Sakamoto, 2021, "Historical Relationships and International Market Return Predictability: The Role of the UK in the Former British Colonies, Protectorates and Mandates," Discussion Papers in Economics and Business, Osaka University, Graduate School of Economics, number 21-08-Rev., Jun, revised Oct 2023.
• Amane Saito, 2021, "On Volatility Linkages among Carbon Price, Stock Price, Interest Rate and Exchange Rate," Discussion Papers in Economics and Business, Osaka University, Graduate School of Economics, number 21-20, Nov.
• Apaar Sadhwani & Kay Giesecke & Justin Sirignano, 2021, "Deep Learning for Mortgage Risk
  [The Subprime Virus]," Journal of Financial Econometrics, Oxford University Press, volume 19, issue 2, pages 313-368.
• Sermin Gungor & Richard Luger, 2021, "Exact Inference in Long-Horizon Predictive Quantile Regressions with an Application to Stock Returns," Journal of Financial Econometrics, Oxford University Press, volume 19, issue 4, pages 746-788.
• Steven Lehrer & Tian Xie & Tao Zeng, 2021, "Does High-Frequency Social Media Data Improve Forecasts of Low-Frequency Consumer Confidence Measures?
  [Regression Models with Mixed Sampling Frequencies]," Journal of Financial Econometrics, Oxford University Press, volume 19, issue 5, pages 910-933.
• Daniele Bianchi & Matthias Büchner & Andrea Tamoni, 2021, "Bond Risk Premiums with Machine Learning
  [Quadratic term structure models: Theory and evidence]," The Review of Financial Studies, Society for Financial Studies, volume 34, issue 2, pages 1046-1089.
• Daniele Bianchi & Matthias Büchner & Tobias Hoogteijling & Andrea Tamoni, 2021, "Corrigendum: Bond Risk Premiums with Machine Learning
  [Bond risk premiums with machine learning]," The Review of Financial Studies, Society for Financial Studies, volume 34, issue 2, pages 1090-1103.
• Jiménez-Méndez, Edgar Ricardo & Aguilera Peña, Nicolás, 2021, "Aplicación de la hipótesis de paridad de poder adquisitivo en el pronóstico de la tasa de cambio del peso colombiano contra el dólar estadounidense || Application of the purchasing power parity hypothesis in the forecast of the exchange rate of the C," 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 29-48, December, DOI: https://doi.org/10.46661/revmetodos.
• Martínez Patiño, Manuel Andrés & Ariza Garzón, Miller Janny & Cadena Lozano, Javier Bernardo, 2021, "Relevancia del patrón de persistencia de Hurst en la gestión de portafolios de renta variable|| Relevance of Hurst's pattern in equity portfolio management," 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 66-82, December, DOI: https://doi.org/10.46661/revmetodos.
• Martin Zurek & Lars Heinrich, 2021, "Bottom-up versus top-down factor investing: an alpha forecasting perspective," Journal of Asset Management, Palgrave Macmillan, volume 22, issue 1, pages 11-29, February, DOI: 10.1057/s41260-020-00188-9.
• Wolfgang Bessler & Georgi Taushanov & Dominik Wolff, 2021, "Factor investing and asset allocation strategies: a comparison of factor versus sector optimization," Journal of Asset Management, Palgrave Macmillan, volume 22, issue 6, pages 488-506, October, DOI: 10.1057/s41260-021-00225-1.
• Lars Heinrich & Antoniya Shivarova & Martin Zurek, 2021, "Factor investing: alpha concentration versus diversification," Journal of Asset Management, Palgrave Macmillan, volume 22, issue 6, pages 464-487, October, DOI: 10.1057/s41260-021-00226-0.
• Wolfgang Drobetz & Tizian Otto, 2021, "Empirical asset pricing via machine learning: evidence from the European stock market," Journal of Asset Management, Palgrave Macmillan, volume 22, issue 7, pages 507-538, December, DOI: 10.1057/s41260-021-00237-x.
• Subhransu S. Mohanty & Odette Mohanty & Mike Ivanof, 2021, "Alpha enhancement in global equity markets with ESG overlay on factor-based investment strategies," Risk Management, Palgrave Macmillan, volume 23, issue 3, pages 213-242, September, DOI: 10.1057/s41283-021-00075-6.
• Sebastian Letmathe & Yuanhua Feng & André Uhde, 2021, "Semiparametric GARCH models with long memory applied to Value at Risk and Expected Shortfall," Working Papers CIE, Paderborn University, CIE Center for International Economics, number 141, Apr.
• Inna Shkolnyk & Serhiy Kozmenko & Olga Kozmenko & Volodymyr Orlov & Fathi Shukairi, 2021, "Modeling of the financial system’s stability on the example of Ukraine," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, volume 16, issue 2, pages 377-411, June, DOI: 10.24136/eq.2021.014.
• Michal Karas & Mária Režòáková, 2021, "The role of financial constraint factors in predicting SME default," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, volume 16, issue 4, pages 859-883, December, DOI: 10.24136/eq.2021.032.
• Friesz, Melinda & Váradi, Kata, 2021, "How is it Done? Comparison between the Margin Calculation methodology of central counterparties and clearinghouses," Public Finance Quarterly, Corvinus University of Budapest, volume 66, issue 3, pages 397-412, DOI: https://doi.org/10.35551/PFQ_2021_3.
• Pincheira, Pablo & Hardy, Nicolás & Muñoz, Felipe, 2021, ""Go wild for a while!": A new asymptotically Normal test for forecast evaluation in nested models," MPRA Paper, University Library of Munich, Germany, number 105368, Jan.
• Olkhov, Victor, 2021, "To VaR, or Not to VaR, That is the Question," MPRA Paper, University Library of Munich, Germany, number 105458, Jan.
• Akyildirim, Erdinc & Goncu, Ahmet & Hekimoglu, Alper & Nguyen, Duc Khuong & Sensoy, Ahmet, 2021, "Statistical arbitrage: Factor investing approach," MPRA Paper, University Library of Munich, Germany, number 105766, Feb.
• Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021, "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper, University Library of Munich, Germany, number 107317, Jan.
• 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.
• Sakemoto, Ryuta, 2021, "Economic Evaluation of Cryptocurrency Investment," MPRA Paper, University Library of Munich, Germany, number 108283, Jun.
• 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.
• Al-Ansari, Khalid Ahmed & Aysan, Ahmet Faruk, 2021, "More than ten years of Blockchain creation: How did we use the technology and which direction is the research heading?," MPRA Paper, University Library of Munich, Germany, number 109720, Aug.
• Ogbonna, Ahamuefula & Olubusoye, Olusanya E, 2021, "Tail Risks and Stock Return Predictability: Evidence From Asia-Pacific," MPRA Paper, University Library of Munich, Germany, number 109922, Apr.
• Astaiza-Gómez, José Gabriel, 2021, "The Effects of Investors' Information Acquisition On Sell-Side Analysts Forecast Bias," MPRA Paper, University Library of Munich, Germany, number 110059.
• 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.
• Degiannakis, Stavros, 2021, "Stock market as a nowcasting indicator for real investment," MPRA Paper, University Library of Munich, Germany, number 110914, Dec.
• Le, Tuan Anh & Dao, Thi Thanh Binh, 2021, "Portfolio optimization under mean-CVaR simulation with copulas on the Vietnamese stock exchange," MPRA Paper, University Library of Munich, Germany, number 111105.
• Bradrania, Reza & Pirayesh Neghab, Davood, 2021, "State-dependent asset allocation using neural networks," MPRA Paper, University Library of Munich, Germany, number 115254, Feb.
• Riza Demirer & Rangan Gupta & He Li & Yu You, 2021, "Financial Vulnerability and Volatility in Emerging Stock Markets: Evidence from GARCH-MIDAS Models," Working Papers, University of Pretoria, Department of Economics, number 202112, Feb.
• Afees A. Salisu & Rangan Gupta, 2021, "Commodity Prices and Forecastability of South African Stock Returns Over a Century: Sentiments versus Fundamentals," Working Papers, University of Pretoria, Department of Economics, number 202144, Jun.
• Sisa Shiba & Juncal Cunado & Rangan Gupta, 2021, "Predictability of the Realised Volatility of International Stock Markets Amid Uncertainty Related to Infectious Diseases," Working Papers, University of Pretoria, Department of Economics, number 202181, Nov.
• Agnieszka Marciniuk, 2021, "Equity Release Contracts with Varying Payments," Prague Economic Papers, Prague University of Economics and Business, volume 2021, issue 5, pages 552-574, DOI: 10.18267/j.pep.784.
• Paulo M.M. Rodrigues & Matei Demetrescu, 2021, "Extensions to IVX methods of inference for return predictability," Working Papers, Banco de Portugal, Economics and Research Department, number w202104.
• Gazi Salah Uddin & Ou Tang & Maziar Sahamkhadam & Farhad Taghizadeh-Hesary & Muhammad Yahya & Pontus Cerin & Jakob Rehme, 2021, "Analysis of Forecasting Models in an Electricity Market under Volatility," ADBI Working Papers, Asian Development Bank Institute, number 1212, Jan.
• Robert Garafutdinov, 2021, "Influence of some ARFIMA model parameters on the accuracy of financial time series forecasting," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 62, pages 85-100.
• 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.
• 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.
• 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.
• Seema REHMAN & Saqib SHARIF & Wali ULLAH, 2021, "Higher Realized Moments and Stock Return Predictability," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 1, pages 48-70, December.
• Daehyeon PARK & Doojin RYU, 2021, "Forecasting Stock Market Dynamics using Bidirectional Long Short-Term Memory," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 2, pages 22-34, June.
• Fiza QURESHI & Saba QURESHI & Sobia Shafaq SHAH, 2021, "Do Mutual Fund Flows Influence Stock Market Volatility? Further Evidence from Emerging Market," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 3, pages 35-51, June.
• L. El’shin A. & V. Banderov V. & A. Abdukaeva A. & Л. Ельшин А. & В. Бандеров В. & А. Абдукаева А., 2021, "Методика оценки влияния диффузии блокчейн-технологий на развитие национальной экономической системы (на примере экономики РФ) // Methodology for Assessing the Impact of the Diffusion of blockchain Technologies on the Development of the National Econo," 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 2, pages 145-165.
• I. Yakovenko V. & И. Яковенко В., 2021, "Математические модели реализации концепции жестких бюджетных ограничений в бюджетной системе // Mathematical Models for Implementation of the Concept of Hard budget Restrictions in the budgetary system," 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 3, pages 6-19.
• 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 model and Its continuous version CARMA on the Dynamic," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, volume 11, issue 1, pages 33-57, enero-jun.
• López Malpica, Gustavo & Hoyos Reyes, Luis Fernando & Rodríguez Benavides, Domingo & Mora Gutiérrez, Roman Anselmo, 2021, "Técnicas metaheurísticas para pronosticar el tipo de cambio del dólar de Estados Unidos con respecto al peso mexicano / Adaptation of Metaheuristic Techniques to Forecast the USD Dollar-MXN Peso Exchange Rate," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, volume 11, issue 2, pages 147-172, julio-dic.
• Mendez Molina, Maivelin & Olivares Aguayo, Héctor Alonso & Andrade Rosas, Luis Antonio, 2021, "Portafolios de volatilidad con opciones financieras. Un análisis por series de tiempo para las empresas BIMBO y HERDEZ del sector de alimentos de la BMV / Volatility Portfolios with Financial Options. An Analysis Using Time Series for the Mexican Sto," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, volume 11, issue 2, pages 173-208, julio-dic.
• Kamil Polak, 2021, "The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock Market," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, volume 2, issue 16, pages 72-90, December.
• Eryk Bobowski, 2021, "Modele dyskryminacyjne jako narzedzie oceny zagrozenia upadloscia przemyslowych grup kapitalowych – sektor chemiczny (Discriminatory models as a tool for bankruptcy risk assessment industrial capital groups – the chemical sector)," Research Reports, University of Warsaw, Faculty of Management, volume 1, issue 34, pages 44-60.
• Chaeshick Chung & Sukjin Park, 2021, "Deep Learning Market Microstructure: Dual-Stage Attention-Based Recurrent Neural Networks," Working Papers, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), number 2108.
• Alessia Naccarato & Andrea Pierini & Giovanna Ferraro, 2021, "Markowitz portfolio optimization through pairs trading cointegrated strategy in long-term investment," Annals of Operations Research, Springer, volume 299, issue 1, pages 81-99, April, DOI: 10.1007/s10479-019-03225-y.
• Alessandra Cretarola & Gianna Figà-Talamanca, 2021, "Detecting bubbles in Bitcoin price dynamics via market exuberance," Annals of Operations Research, Springer, volume 299, issue 1, pages 459-479, April, DOI: 10.1007/s10479-019-03321-z.
• David Volkmann, 2021, "Explaining S&P500 option returns: an implied risk-adjusted approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, volume 29, issue 2, pages 665-685, June, DOI: 10.1007/s10100-019-00666-5.
• Vikram Ojha & JeongHoe Lee, 2021, "Default analysis in mortgage risk with conventional and deep machine learning focusing on 2008–2009," Digital Finance, Springer, volume 3, issue 3, pages 249-271, December, DOI: 10.1007/s42521-021-00036-4.
• Alain Kabundi & Asithandile Mbelu, 2021, "Estimating a time-varying financial conditions index for South Africa," Empirical Economics, Springer, volume 60, issue 4, pages 1817-1844, April, DOI: 10.1007/s00181-020-01844-0.
• Nima Nonejad, 2021, "Using the conditional volatility channel to improve the accuracy of aggregate equity return predictions," Empirical Economics, Springer, volume 61, issue 2, pages 973-1009, August, DOI: 10.1007/s00181-020-01882-8.
• Yoichi Tsuchiya, 2021, "Crises, market shocks, and herding behavior in stock price forecasts," Empirical Economics, Springer, volume 61, issue 2, pages 919-945, August, DOI: 10.1007/s00181-020-01894-4.
• Serdar Neslihanoglu & Stelios Bekiros & John McColl & Duncan Lee, 2021, "Multivariate time-varying parameter modelling for stock markets," Empirical Economics, Springer, volume 61, issue 2, pages 947-972, August, DOI: 10.1007/s00181-020-01896-2.
• Ahmet Akca & Ethem Çanakoğlu, 2021, "Adaptive stochastic risk estimation of firm operating profit," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, volume 48, issue 3, pages 463-504, September, DOI: 10.1007/s40812-021-00184-z.
• Helder Sebastião & Pedro Godinho, 2021, "Forecasting and trading cryptocurrencies with machine learning under changing market conditions," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 7, issue 1, pages 1-30, December, DOI: 10.1186/s40854-020-00217-x.
• David Y. Aharon & Zaghum Umar & Xuan Vinh Vo, 2021, "Dynamic spillovers between the term structure of interest rates, bitcoin, and safe-haven currencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 7, issue 1, pages 1-25, December, DOI: 10.1186/s40854-021-00274-w.
• Darko B. Vukovic & Carlos J. Rincon & Moinak Maiti, 2021, "Price distortions and municipal bonds premiums: evidence from Switzerland," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 7, issue 1, pages 1-21, December, DOI: 10.1186/s40854-021-00276-8.
• Melisa Ozdamar & Levent Akdeniz & Ahmet Sensoy, 2021, "Lottery-like preferences and the MAX effect in the cryptocurrency market," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 7, issue 1, pages 1-27, December, DOI: 10.1186/s40854-021-00291-9.
• Rama K. Malladi & Prakash L. Dheeriya, 2021, "Time series analysis of Cryptocurrency returns and volatilities," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 45, issue 1, pages 75-94, January, DOI: 10.1007/s12197-020-09526-4.
• Jose I. Alvarado & Lindsay C. Clark & Jose A. Gutierrez, 2021, "Stock performance subsequent to combinations in quarterly revenue surprise, earnings surprise, guidance, valuation, and report time," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 45, issue 1, pages 95-117, January, DOI: 10.1007/s12197-020-09531-7.
• Yuanyuan (Catherine) Chen, 2021, "Empirical analysis of bitcoin price," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 45, issue 4, pages 692-715, October, DOI: 10.1007/s12197-021-09549-5.
• Parthajit Kayal & Sumanjay Dutta & Vipul Khandelwal & Rakesh Nigam, 2021, "Information Theoretic Ranking of Extreme Value Returns," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 19, issue 1, pages 1-21, March, DOI: 10.1007/s40953-020-00214-y.
• Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021, "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, volume 1, issue 6, pages 1-21, June, DOI: 10.1007/s43546-021-00077-2.
• Mitja Steinbacher & Matthias Raddant & Fariba Karimi & Eva Camacho Cuena & Simone Alfarano & Giulia Iori & Thomas Lux, 2021, "Advances in the agent-based modeling of economic and social behavior," SN Business & Economics, Springer, volume 1, issue 7, pages 1-24, July, DOI: 10.1007/s43546-021-00103-3.
• Nikolaos Stoupos & Apostolos Kiohos, 2021, "BREXIT referendum’s impact on the financial markets in the UK," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), volume 157, issue 1, pages 1-19, February, DOI: 10.1007/s10290-020-00393-z.
• Yu-Min Lian & Chia-Hsuan Li & Yi-Hsuan Wei, 2021, "Machine Learning and Time Series Models for VNQ Market Predictions," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 11, issue 5, pages 1-2.
• 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.
• Guglielmo Maria Caporale & Alex Plastun & Viktor Oliinyk, 2021, "The frequency of one-day abnormal returns and price fluctuations in the forex," Journal of Applied Economics, Taylor & Francis Journals, volume 24, issue 1, pages 401-415, January, DOI: 10.1080/15140326.2021.1953914.
• 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.
• Martin Llada, 2021, "Relationship between country risk volatility and indices based on unstructured information," Estudios de Economia, University of Chile, Department of Economics, volume 48, issue 2 Year 20, pages 175-218, 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.
• Ming, Kelvin Lee Yong & Jais, Mohamad, 2021, "Effectiveness of Moving Average Rules During COVID-19 Pandemic: Evidence from Malaysian Stock Market," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, volume 55, issue 1, pages 87-98, 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.
• Florens Odendahl & Barbara Rossi & Tatevik Sekhposyan, 2021, "Evaluating forecast performance with state dependence," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1800, Jul.
• Ristić Kristijan & Jemović Mirjana, 2021, "Analysis of Non-Performing Loans’ Determinants in the Banking Sector of the Republic of Serbia," Economic Themes, Sciendo, volume 59, issue 1, pages 133-151, March, DOI: 10.2478/ethemes-2021-0008.
• Habibi Reza, 2021, "Application of Predictive Methods to Financial Data Sets," Financial Internet Quarterly (formerly e-Finanse), Sciendo, volume 17, issue 1, pages 50-61, March, DOI: 10.2478/fiqf-2021-0006.
• Habibi Reza, 2021, "Bayesian Online Change Point Detection in Finance," Financial Internet Quarterly (formerly e-Finanse), Sciendo, volume 17, issue 4, pages 27-33, December, DOI: 10.2478/fiqf-2021-0025.
• Pilch Bartłomiej, 2021, "An Analysis of the Effectiveness of Bankruptcy Prediction Models – an Industry Approach," Folia Oeconomica Stetinensia, Sciendo, volume 21, issue 2, pages 76-96, December, DOI: 10.2478/foli-2021-0017.
• Sika Peter & Vidová Jarmila, 2021, "Reality and expectations of old-age pension savings in the pension system of the Slovak Republic," Review of Economic Perspectives, Sciendo, volume 21, issue 4, pages 411-436, December, DOI: 10.2478/revecp-2021-0018.
• Ceylan Nesrin & Münyas Turgay, 2021, "An Empirical Investigation on the Relationship Between the Eurozone Zew Index and the Eurozone Stock Markets," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, volume 31, issue 4, pages 1-17, December, DOI: 10.2478/sues-2021-0016.
• Reinhard Ellwanger, Stephen Snudden, 2021, "Predictability of Aggregated Time Series," LCERPA Working Papers, Laurier Centre for Economic Research and Policy Analysis, number bm0127.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2021, "No‐arbitrage priors, drifting volatilities, and the term structure of interest rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 36, issue 5, pages 495-516, August, DOI: 10.1002/jae.2828.
• 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.
• Hyeongwoo Kim & Wen Shi, 2021, "Forecasting financial vulnerability in the USA: A factor model approach," Journal of Forecasting, John Wiley & Sons, Ltd., volume 40, issue 3, pages 439-457, April, DOI: 10.1002/for.2724.
• Gregor Semieniuk & Emanuele Campiglio & Jean‐Francois Mercure & Ulrich Volz & Neil R. Edwards, 2021, "Low‐carbon transition risks for finance," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, volume 12, issue 1, January, DOI: 10.1002/wcc.678.
• Garg, Karan, 2021, "Machines and Markets : Assessing the Impact of Algorithmic Trading on Financial Market Efficiency," Warwick-Monash Economics Student Papers, Warwick Monash Economics Student Papers, number 11.
• Juselius, Mikael & Tarashev, Nikola A., 2021, "Could corporate credit losses turn out higher than expected?," BoF Economics Review, Bank of Finland, number 3/2021.
• Barasinska, Nataliya & Ludwig, Johannes & Vogel, Edgar, 2021, "The impact of borrower-based instruments on household vulnerability in Germany," Discussion Papers, Deutsche Bundesbank, number 20/2021.
• Mönch, Emanuel & Stein, Tobias, 2021, "Equity premium predictability over the business cycle," Discussion Papers, Deutsche Bundesbank, number 25/2021.
• Memmel, Christoph & Roling, Christoph, 2021, "Risks in domestic banks' corporate lending business," Technical Papers, Deutsche Bundesbank, number 08/2021.
• Memmel, Christoph & Roling, Christoph, 2021, "Risiken im Unternehmenskreditgeschäft inländischer Banken
  [Risks in domestic banks' corporate lending business]," Technical Papers, Deutsche Bundesbank, number 08/2021.
• 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.
• Lyócsa, Štefan & Baumöhl, Eduard & Vŷrost, Tomáš, 2021, "YOLO trading: Riding with the herd during the GameStop episode," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 230679.
• Virla, Leonardo Quero, 2021, "An empirical characterization of volatility dynamics in the DAX," IPE Working Papers, Berlin School of Economics and Law, Institute for International Political Economy (IPE), number 167/2021.
• Klein, Tony, 2021, "Agree to Disagree? Predictions of U.S. Nonfarm Payroll Changes between 2008 and 2020 and the Impact of the COVID19 Labor Shock," QBS Working Paper Series, Queen's University Belfast, Queen's Business School, number 2021/07, DOI: 10.2139/ssrn.3929635.
• Flögel, Volker & Schlag, Christian & Zunft, Claudia, 2021, "Momentum-managed equity factors," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 317, DOI: 10.2139/ssrn.3423287.
• Anese, Gianluca & Corazza, Marco & Costola, Michele & Pelizzon, Loriana, 2021, "Impact of public news sentiment on stock market index return and volatility," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 322.
• Brückbauer, Frank & Schröder, Michael, 2021, "Data resource profile: The ZEW FMS dataset," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 21-100.

2020

• Jules Clement Mba & Sutene Mwambi, 2020, "A Markov-switching COGARCH approach to cryptocurrency portfolio selection and optimization," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 34, issue 2, pages 199-214, June, DOI: 10.1007/s11408-020-00346-4.
• Tania Morris & Jules Comeau, 2020, "Portfolio creation using artificial neural networks and classification probabilities: a Canadian study," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 34, issue 2, pages 133-163, June, DOI: 10.1007/s11408-020-00350-8.
• Guglielmo Maria Caporale & Alex Plastun, 2020, "Momentum effects in the cryptocurrency market after one-day abnormal returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 34, issue 3, pages 251-266, September, DOI: 10.1007/s11408-020-00357-1.
• Frank J. Fabozzi & Iason Kynigakis & Ekaterini Panopoulou & Radu S. Tunaru, 2020, "Detecting Bubbles in the US and UK Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, volume 60, issue 4, pages 469-513, May, DOI: 10.1007/s11146-018-9693-9.
• Hsiao-Fen Hsiao & Jiang-Chuan Huang & Zheng-Wei Lin, 2020, "Portfolio construction using bootstrapping neural networks: evidence from global stock market," Review of Derivatives Research, Springer, volume 23, issue 3, pages 227-247, October, DOI: 10.1007/s11147-019-09163-y.
• Maxim Ulrich & Simon Walther, 2020, "Option-implied information: What’s the vol surface got to do with it?," Review of Derivatives Research, Springer, volume 23, issue 3, pages 323-355, October, DOI: 10.1007/s11147-020-09166-0.
• Tavy Ronen & Oleg Sokolinskiy & Ben Sopranzetti, 2020, "The risk management implications of using end of day consensus pricing for single name CDS," Review of Quantitative Finance and Accounting, Springer, volume 55, issue 1, pages 269-304, July, DOI: 10.1007/s11156-019-00843-2.
• 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.
• Bihary, Zsolt & Víg, Attila András, 2020, "Heterogén kereskedési stratégiák hatása a piaci árfolyamokra
  [The effect of heterogeneous commercial strategies on market exchange rates]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), volume 0, issue 7, pages 688-707, DOI: 10.18414/KSZ.2020.7-8.688.
• Alessandro Giovannelli & Daniele Massacci & Stefano Soccorsi, 2020, "Forecasting Stock Returns with Large Dimensional Factor Models," Working Papers, Lancaster University Management School, Economics Department, number 305661169.