Research classified by Journal of Economic Literature (JEL) codes

2020

• Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020, "A Note on Investor Happiness and the Predictability of Realized Volatility of Gold," Working Papers, University of Pretoria, Department of Economics, number 202004, Jan.
• Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020, "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Working Papers, University of Pretoria, Department of Economics, number 202009, Jan.
• Afees A. Salisu & Juncal Cunado & Rangan Gupta, 2020, "Geopolitical Risks and Historical Exchange Rate Volatility of the BRICS," Working Papers, University of Pretoria, Department of Economics, number 2020105, Nov.
• Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020, "Forecasting Realized Stock-Market Volatility: Do Industry Returns have Predictive Value?," Working Papers, University of Pretoria, Department of Economics, number 2020107, Dec.
• Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2020, "Hybrid ARFIMA Wavelet Artificial Neural Network Model for DJIA Index Forecasting," Working Papers, University of Pretoria, Department of Economics, number 202056, Jun.
• Joao F. Caldeira & Rangan Gupta & Hudson S. Torrent, 2020, "Forecasting U.S. Aggregate Stock Market Excess Return: Do Functional Data Analysis Add Economic Value?," Working Papers, University of Pretoria, Department of Economics, number 202087, Sep.
• Elie Bouri & Rangan Gupta & Anandamayee Majumdar & Sowmya Subramaniam, 2020, "Time-Varying Risk Aversion and Forecastability of the US Term Structure of Interest Rates," Working Papers, University of Pretoria, Department of Economics, number 202098, Oct.
• Joanna Dębicka & Stanisław Heilpern & Agnieszka Marciniuk, 2020, "Application of Copulas to Modelling of Marriage Reverse Annuity Contract," Prague Economic Papers, Prague University of Economics and Business, volume 2020, issue 4, pages 445-468, DOI: 10.18267/j.pep.745.
• Agnieszka Marciniuk & Emília Zimková & Vlastimil Farkašovský & Colin W. Lawson, 2020, "Valuation of Equity Release Contracts in Czech Republic, Republic of Poland and Slovak Republic," Prague Economic Papers, Prague University of Economics and Business, volume 2020, issue 5, pages 505-521, DOI: 10.18267/j.pep.743.
• Caio Almeida & Kym Ardison & René Garcia & Piotr OrÅ‚owski, 2020, "Extracting Tail Risk from High-Frequency S&P 500 Returns," Working Papers, Princeton University. Economics Department., number 2020-78, Jan.
• J. James Reade & Carl Singleton & Leighton Vaughan Williams, 2020, "Betting markets for English Premier League results and scorelines: evaluating a forecasting model," Economics Discussion Papers, Department of Economics, University of Reading, number em-dp2020-03, Mar.
• Robert Barro & Tao Jin, 2020, "Online Appendix to "Rare Events and Long-Run Risks"," Online Appendices, Review of Economic Dynamics, number 18-485.
• Robert Barro & Tao Jin, 2020, "Code and data files for "Rare Events and Long-Run Risks"," Computer Codes, Review of Economic Dynamics, number 18-485, revised .
• Evangelos Vasileiou & Aristeidis Samitas, 2020, "Value at Risk, Legislative Framework, Crises, and Procyclicality: what goes wrong?," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, volume 12, issue 3, pages 345-369, October.
• Nikita Artamonov & Anna Voronina & Nikita Emelyanov & Aleksei Kurbatskii, 2020, "Estimation of interest rates’ impact on mutual funds’ performance in the USA," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 58, pages 55-75.
• Dean Fantazzini, 2020, "Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 59, pages 33-54.
• Tuğba Nur TOPALOĞLU & Erol KÖYCÜ, 2020, "Stock Volatility Modeling in Health Enterprises: An Econometric Survey in The Human Health and Social Services Sector," Bulletin of Economic Theory and Analysis, BETA Journals, volume 5, issue 1, pages 87-107.
• Hongbing OUYANG & Xiaolu WEI & Qiufeng WU, 2020, "Stock Index Pattern Discovery via Toeplitz Inverse Covariance-based Clustering," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 2, pages 58-72, July.
• Chamil W SENARATHNE & Wei JIANGUO, 2020, "Testing for Heteroskedastic Mixture of Ordinary Least Squares Errors," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 2, pages 73-91, July.
• Nijolė MAKNICKIENĖ & Jelena STANKEVIČIENĖ & Algirdas MAKNICKAS, 2020, "Comparison of Forex Market Forecasting Tools Based on Evolino Ensemble and Technical Analysis Indicators," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 3, pages 134-148, September.
• Karam KIM & Doojin RYU, 2020, "Predictive ability of investor sentiment for the stock market," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 33-46, December.
• Huaibing Yu, 2020, "Have Stock Markets across the Globe Been Kidnapped by the Covid-19 Pandemic?," Bulletin of Applied Economics, Risk Market Journals, volume 7, issue 2, pages 165-173.
• Amen Aissi Harzallah & Mouna Boujelbene Abbes, 2020, "The Impact of Financial Crises on the Asset Allocation: Classical Theory Versus Behavioral Theory," Journal of Interdisciplinary Economics, , volume 32, issue 2, pages 218-236, July, DOI: 10.1177/0260107919848629.
• Yu. Danilov A. & D. Pivovarov A. & I. Davydov S. & Ю. Данилов А. & Д. Пивоваров А. & И. Давыдов С., 2020, "К вопросу о предвидении глобальных финансово-экономических кризисов // On the Issue of Predicting Global Financial and Economic Crises," 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 24, issue 1, pages 87-104.
• V. Minasyan B. & В. Минасян Б., 2020, "Новые способы измерения катастрофических финансовых рисков: меры «VaR в степени t» и их вычисление // New Ways to Measure Catastrophic Financial Risks: “VaR to the power of t” Measures and How to Calc," 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 24, issue 3, pages 92-109.
• I. Naumov V. & A. Trynov V. & A. Safonov O. & И. Наумов В. & А. Трынов В. & А. Сафонов О., 2020, "Сценарное моделирование воспроизводства инвестиционного потенциала институциональных секторов в регионах Сибирского федерального округа // Scenario Modelling for Reproducing Investment Potential of In," 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 24, issue 6, pages 19-37.
• V. Rakhaev A. & В. Рахаев А., 2020, "Развитие методов оценки кредитного риска для формирования резервов на возможные потери по ссудам // Developing Credit Risk Assessment Methods to Make loss Provisions for Potential loans," 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 24, issue 6, pages 82-91.
• V. Minasyan B & В. Минасян Б., 2020, "Новые меры рисков «VaR в степени t» и «ES в степени t» и меры риска искажения // New Risk Measures “VaR to the Power of t” and “ES to the Power of t” and Distortion Risk Measures," 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 24, issue 6, pages 92-107.
• Gregor Semieniuk & Emanuele Campiglio & Jean-Francois Mercure & Ulrich Volz & Neil R. Edwards, 2020, "Low-carbon transition risks for finance," Working Papers, Department of Economics, SOAS University of London, UK, number 233, Mar.
• Yakup SÖYLEMEZ, 2020, "Prediction of Gold Prices Using Multilayer Artificial Neural Networks Method," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(46).
• Fernando Fernandes & Rodrigo De Losso, Rogerio Oliveira, Angelo J D Soto, Pedro D Cavalcanti, Gabriel M S Campos, 2020, "Saving Markowitz: A Risk Parity approach based on the Cauchy Interlacing Theorem," Working Papers, Department of Economics, University of São Paulo (FEA-USP), number 2020_13, Aug.
• Selcuk Kendirli & Muhammet Selcuk Kaya & Mustafa Bilgin, 2020, "Evaluation of Financial Performances of SME’s Listed in the Bist Sme Industrial Index by Using TOPSIS Multicriteria Decision Making Method," Journal of Economic Development, Environment and People, Alliance of Central-Eastern European Universities, volume 9, issue 3, pages 63-74, September.
• Catherine Bruneau & Alexis Flageollet & Zhun Peng, 2020, "Economic and financial risk factors, copula dependence and risk sensitivity of large multi-asset class portfolios," Annals of Operations Research, Springer, volume 284, issue 1, pages 165-197, January, DOI: 10.1007/s10479-018-3112-8.
• Dimitrios Koutmos, 2020, "Market risk and Bitcoin returns," Annals of Operations Research, Springer, volume 294, issue 1, pages 453-477, November, DOI: 10.1007/s10479-019-03255-6.
• Laura Garcia-Jorcano & Alfonso Novales, 2020, "A dominance approach for comparing the performance of VaR forecasting models," Computational Statistics, Springer, volume 35, issue 3, pages 1411-1448, September, DOI: 10.1007/s00180-020-00990-4.
• Larisa Adamyan & Kirill Efimov & Cathy Y. Chen & Wolfgang K. Härdle, 2020, "Adaptive weights clustering of research papers," Digital Finance, Springer, volume 2, issue 3, pages 169-187, December, DOI: 10.1007/s42521-020-00017-z.
• Theophilos Papadimitriou & Periklis Gogas & Athanasios Fotios Athanasiou, 2020, "Forecasting S&P 500 spikes: an SVM approach," Digital Finance, Springer, volume 2, issue 3, pages 241-258, December, DOI: 10.1007/s42521-020-00024-0.
• Christian Pierdzioch & Marian Risse, 2020, "Forecasting precious metal returns with multivariate random forests," Empirical Economics, Springer, volume 58, issue 3, pages 1167-1184, March, DOI: 10.1007/s00181-018-1558-9.
• Leandro Maciel, 2020, "Technical analysis based on high and low stock prices forecasts: evidence for Brazil using a fractionally cointegrated VAR model," Empirical Economics, Springer, volume 58, issue 4, pages 1513-1540, April, DOI: 10.1007/s00181-018-1603-8.
• Bogdan Batrinca & Christian W. Hesse & Philip C. Treleaven, 2020, "Expiration day effects on European trading volumes," Empirical Economics, Springer, volume 58, issue 4, pages 1603-1638, April, DOI: 10.1007/s00181-019-01627-2.
• João F. Caldeira, 2020, "Investigating the expectation hypothesis and the risk premium dynamics: new evidence for Brazil," Empirical Economics, Springer, volume 59, issue 1, pages 395-412, July, DOI: 10.1007/s00181-019-01629-0.
• Wali Ullah, 2020, "The arbitrage-free generalized Nelson–Siegel term structure model: Does a good in-sample fit imply better out-of-sample forecasts?," Empirical Economics, Springer, volume 59, issue 3, pages 1243-1284, September, DOI: 10.1007/s00181-019-01710-8.
• Kenneth R. Szulczyk & Changyong Zhang, 2020, "Switching-regime regression for modeling and predicting a stock market return," Empirical Economics, Springer, volume 59, issue 5, pages 2385-2403, November, DOI: 10.1007/s00181-019-01763-9.
• Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2020, "Forecasting financial stress indices in Korea: a factor model approach," Empirical Economics, Springer, volume 59, issue 6, pages 2859-2898, December, DOI: 10.1007/s00181-019-01744-y.
• Dean Fantazzini & Stephan Zimin, 2020, "A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, volume 47, issue 1, pages 19-69, March, DOI: 10.1007/s40812-019-00136-8.
• Lin Liu & Qiguang Chen, 2020, "How to compare market efficiency? The Sharpe ratio based on the ARMA-GARCH forecast," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 6, issue 1, pages 1-21, December, DOI: 10.1186/s40854-020-00200-6.
• Robert Azencott & Peng Ren & Ilya Timofeyev, 2020, "Realised volatility and parametric estimation of Heston SDEs," Finance and Stochastics, Springer, volume 24, issue 3, pages 723-755, July, DOI: 10.1007/s00780-020-00427-2.
• Gulraze Wakil, 2020, "Firm size proxies and the value relevance of predictive stock return models," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 44, issue 3, pages 434-457, July, DOI: 10.1007/s12197-019-09491-7.
• Agnieszka M. Chomicz-Grabowska & Lucjan T. Orlowski, 2020, "Financial market risk and macroeconomic stability variables: dynamic interactions and feedback effects," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 44, issue 4, pages 655-669, October, DOI: 10.1007/s12197-020-09505-9.
• Yuri Biondi & Simone Righi, 2020, "Much ado about making money: the impact of disclosure, news and rumors on the formation of security market prices over time," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 15, issue 2, pages 333-362, April, DOI: 10.1007/s11403-017-0201-8.
• Thomas Hauner, 2020, "Aggregate wealth and its distribution as determinants of financial crises," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, volume 18, issue 3, pages 319-338, September, DOI: 10.1007/s10888-020-09444-9.
• Laura Casula & Guglielmo D’Amico & Giovanni Masala & Filippo Petroni, 2020, "Performance estimation of photovoltaic energy production," Letters in Spatial and Resource Sciences, Springer, volume 13, issue 3, pages 267-285, December, DOI: 10.1007/s12076-020-00258-x.
• Justyna Mokrzycka, 2020, "VaR and ES Calculation with a Bayesian Dynamic tCopula-GARCH Model," Springer Proceedings in Business and Economics, Springer, chapter 46, in: Nicholas Tsounis & Aspasia Vlachvei, "Advances in Cross-Section Data Methods in Applied Economic Research", DOI: 10.1007/978-3-030-38253-7_46.
• Hsien-Ming Chou & Tsai-Lun Cho, 2020, "Effects of Slope Coefficients and Bollinger Bands on Short-term Investment," Advances in Management and Applied Economics, SCIENPRESS Ltd, volume 10, issue 2, pages 1-7.
• Chuo Chang, 2020, "Dynamic correlations and distributions of stock returns on China's stock markets," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 10, issue 1, pages 1-6.
• Keqi Chen, 2020, "A Closer Look at Analyst Expectations: Stickiness and Confirmation Bias," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 10, issue 5, pages 1-15.
• Markus Spiwoks & Zulia Gubaydullina, 2020, "The Magic of Figures: Anchoring and Interferences," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, volume 9, issue 3, pages 1-2.
• Giulio Bottazzi & Francesco Cordoni & Giulia Livieri & Stefano Marmi, 2020, "Uncertainty in Firm Valuation and a Cross-Sectional Misvaluation Measure," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2020/15, Jun.
• Fernando García & Jairo González-Bueno & Francisco Guijarro & Javier Oliver, 2020, "A multiobjective credibilistic portfolio selection model. Empirical study in the Latin American integrated market," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, volume 8, issue 2, pages 1027-1046, December, DOI: 10.9770/jesi.2020.8.2(62).
• Zbyslaw Dobrowolski, 2020, "After COVID-19. Reorientation of crisis management in crisis," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, volume 8, issue 2, pages 799-810, December, DOI: 10.9770/jesi.2020.8.2(48).
• Jaroslav Baran & Jan Voříšek, 2020, "Volatility indices and implied uncertainty measures of European government bond futures," Working Papers, European Stability Mechanism, number 43, May.
• Hossein Hassani & Mohammad Reza Yeganegi & Juncal Cuñado & Rangan Gupta, 2020, "Forecasting interest rate volatility of the United Kingdom: evidence from over 150 years of data," Journal of Applied Statistics, Taylor & Francis Journals, volume 47, issue 6, pages 1128-1143, April, DOI: 10.1080/02664763.2019.1666093.
• Torben G. Andersen & Nicola Fusari & Viktor Todorov, 2020, "The Pricing of Tail Risk and the Equity Premium: Evidence From International Option Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 38, issue 3, pages 662-678, July, DOI: 10.1080/07350015.2018.1564318.
• Luiz Félix & Roman Kräussl & Philip Stork, 2020, "Implied volatility sentiment: a tale of two tails," Quantitative Finance, Taylor & Francis Journals, volume 20, issue 5, pages 823-849, May, DOI: 10.1080/14697688.2019.1696018.
• Catherine Georgiou, 2020, "The British Stock Market under the Structure of Market Capitalization Value: New Evidence on its Predictive Content," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, volume 13, issue 3, pages 56-69, December.
• Felix Haase & Matthias Neuenkirch, 2020, "Predictability of Bull and Bear Markets: A New Look at Forecasting Stock Market Regimes (and Returns) in the US," Working Paper Series, University of Trier, Research Group Quantitative Finance and Risk Analysis, number 2020-03.
• Dennis Umlandt, 2020, "Likelihood-based Dynamic Asset Pricing: Learning Time-varying Risk Premia from Cross-Sectional Models," Working Paper Series, University of Trier, Research Group Quantitative Finance and Risk Analysis, number 2020-06.
• Felix Haase & Matthias Neuenkirch, 2020, "Predictability of Bull and Bear Markets: A New Look at Forecasting Stock Market Regimes (and Returns) in the US," Research Papers in Economics, University of Trier, Department of Economics, number 2020-01.
• Tae-Hwy Lee & Ekaterina Seregina, 2020, "Optimal Portfolio Using Factor Graphical Lasso," Working Papers, University of California at Riverside, Department of Economics, number 202025, Sep.
• Dominique Pépin & Stephen M. Miller, 2020, "The Time-Varying Nature of Risk Aversion: Evidence from 60 Years of U.S. Stock Market Data," Working papers, University of Connecticut, Department of Economics, number 2020-09, Aug.
• Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2020, "Hybrid ARFIMA Wavelet Artificial Neural Network Model for DJIA Index Forecasting," Working papers, University of Connecticut, Department of Economics, number 2020-10, Aug.
• Ilya V. Naumov, 2020, "A scenario-based model of the reproduction of institutional sectors’ investment potential in Sverdlovsk oblast," Upravlenets, Ural State University of Economics, volume 11, issue 5, pages 17-28, November, DOI: 10.29141/2218-5003-2020-11-5-2.
• Georgi Hristov, 2020, "Risk Premium Or Sentiment Premium," Economic Science, education and the real economy: Development and interactions in the digital age, Publishing house Science and Economics Varna, issue 1, pages 494-506.
• Elena Stavrova & Mariya Paskaleva & Ani Stoykova, 2020, "Empirical Analysis Of “Black Swan Effect”: Evidence Of China," Economic Science, education and the real economy: Development and interactions in the digital age, Publishing house Science and Economics Varna, issue 1, pages 129-146.
• Hristina Vasileva, 2020, "Application Of Logistic Regressionin Assessing The Credit Risk Of Smes," Economic Science, education and the real economy: Development and interactions in the digital age, Publishing house Science and Economics Varna, issue 1, pages 334-345.
• Jerić Silvija Vlah, 2020, "Comparing classification algorithms for prediction on CROBEX data," Croatian Review of Economic, Business and Social Statistics, Sciendo, volume 6, issue 2, pages 4-11, December, DOI: 10.2478/crebss-2020-0007.
• Homa Magdalena, 2020, "Mathematical Reserves vs Longevity Risk in Life Insurances," Econometrics. Advances in Applied Data Analysis, Sciendo, volume 24, issue 1, pages 23-38, March, DOI: 10.15611/eada.2020.1.03.
• Latoszek Michał & Ślepaczuk Robert, 2020, "Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor," Economics and Business Review, Sciendo, volume 6, issue 1, pages 46-81, March, DOI: 10.18559/ebr.2020.1.3.
• Kozioł Karolina & Pitera Rafał, 2020, "An Assessment of the Reliability of Discriminatory Models on the Basis of the Bankruptcy of Comapanies in the Food Industry in Poland," Folia Oeconomica Stetinensia, Sciendo, volume 20, issue 1, pages 221-231, June, DOI: 10.2478/foli-2020-0013.
• Krupa Tadeusz, 2020, "Virtual Center for the Paradigmatic Studies," Foundations of Management, Sciendo, volume 12, issue 1, pages 181-192, January, DOI: 10.2478/fman-2020-0014.
• Wolski Rafal, 2020, "Co-Integration Test of Selected Indexes on the Share Market and Index of Housing Real Estate Prices," Real Estate Management and Valuation, Sciendo, volume 28, issue 1, pages 100-111, March, DOI: 10.1515/remav-2020-0009.
• Oleh Bilyk & Paweł Sakowski & Robert Ślepaczuk, 2020, "Investing in VIX futures based on rolling GARCH models forecasts," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-10.
• Paweł Sakowski & Anna Turovtseva, 2020, "Verification of Investment Opportunities on the Cryptocurrency Market within the Markowitz Framework," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-41.
• Paweł Sakowski & Daria Turovtseva, 2020, "Does Bitcoin Improve Investment Portfolio Efficiency?," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-42.
• Joscha Beckmann & Gary Koop & Dimitris Korobilis & Rainer Alexander Schüssler, 2020, "Exchange rate predictability and dynamic Bayesian learning," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 35, issue 4, pages 410-421, June, DOI: 10.1002/jae.2761.
• Duc Khuong Nguyen & Thomas Walther, 2020, "Modeling and forecasting commodity market volatility with long‐term economic and financial variables," Journal of Forecasting, John Wiley & Sons, Ltd., volume 39, issue 2, pages 126-142, March, DOI: 10.1002/for.2617.
• Andrea Bucci, 2020, "Cholesky–ANN models for predicting multivariate realized volatility," Journal of Forecasting, John Wiley & Sons, Ltd., volume 39, issue 6, pages 865-876, September, DOI: 10.1002/for.2664.
• Van Son Lai & Xiaoxia Ye, 2020, "How Does the Stock Market View Bank Regulatory Capital Forbearance Policies?," Journal of Money, Credit and Banking, Blackwell Publishing, volume 52, issue 8, pages 1873-1907, December, DOI: 10.1111/jmcb.12692.
• John B Guerard & William T Ziemba (ed.), 2020, "Handbook of Applied Investment Research," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 11727, ISBN: ARRAY(0x5481a208), March.
• George Xianzhi Yuan (ed.), 2020, "The CME Vulnerability:The Impact of Negative Oil Futures Trading," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 11908, ISBN: ARRAY(0x547711e8), March.
• John B. Guerard Jr. & William T. Ziemba, 2020, "Introduction," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 1, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• William T. Ziemba, 2020, "The Five Investor Camps that Try to Beat the Stock Market," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 2, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• M. Bloch & J. Guerard & H. Markowitz & P. Todd & G. Xu, 2020, "A comparison of some aspects of the U.S. and Japanese equity markets," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 3, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Leonard C. MacLean & Michael E. Foster & William T. Ziemba, 2020, "Covariance complexity and rates of return on assets," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 4, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• J. B. Guerard Jr. & H. Markowitz & G. Xu, 2020, "The role of effective corporate decisions in the creation of efficient portfolios," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 5, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• John B. Guerard Jr. & Harry Markowitza & GanLin Xu, 2020, "Earnings forecasting in a global stock selection model and efficient portfolio construction and management," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 6, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Bijan Beheshti & John B. Guerard Jr. & Chris Mercs, 2020, "Truly Active Management Requires a Commitment to Excellence: Portfolio Construction and Management with FactSet," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 7, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Brian Bruce & Douglas Stark, 2020, "The Hillcrest Management Sentiment Indicator," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 8, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• William T. Ziemba, 2020, "Seasonality Effects In Japanese Futures Markets," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 9, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Constantine Dzhabarov & William T. Ziemba, 2020, "Sell-in-May-and-Go-Away in the U.S. Equity Index Futures Markets, 1993–2019," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 10, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• William T. Ziemba, 2020, "Japanese security market regularities: Monthly, turn-of-the-month and year, holiday and golden week effects," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 11, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• William T. Ziemba, 2020, "World wide security market regularities," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 12, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Constantine Dzhabarov & Alexandre Ziegler & William T. Ziemba, 2020, "Sell-in-May-and-Go-Away: The International Evidence," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 13, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Blair Hull & Petra Bakosova & Alexander Kment, 2020, "Seasonal Effects, Trends and Pre-Announcement Drifts: Turning Anomalies into Investment Strategies," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 14, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Sebastien Lleo & William T Ziemba, 2020, "Stock Market Crashes in 2006–2009: Were We Able to Predict Them?," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 15, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• J. B. Guerard Jr. & S. T. Rachev & B. P. Shao, 2020, "Efficient global portfolios: Big data and investment universes," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 16, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Harry M. Markowitz & David Starer & Harvey Fram & Sander Gerber, 2020, "Avoiding the Downside: A Practical Review of the Critical Line Algorithm for Mean–Semivariance Portfolio Optimization," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 17, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Chong Li & Edward Tower & Rhona Zhang, 2020, "Alternative Measures of Mutual Fund Performance: Ranking DFA, Fidelity, and Vanguard," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 18, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Boryana Racheva-Iotova, 2020, "Wealth Management Next Frontiers — The Inevitable Need to Meet Behavioral and Quantitative Approaches," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 19, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Foteini Kyriazi & Dimitrios D. Thomakos, 2020, "Foreign Exchange Rate Predictability: Seek and Ye Shall Find It," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 20, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Tim Leung & Brian Ward, 2020, "Tracking VIX with VIX Futures: Portfolio Construction and Performance," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 21, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Barret Pengyuan Shao, 2020, "Long-Memory Processes in High-Frequency Foreign Exchange and U.S. Equity Market," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 22, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• William T. Ziemba, 2020, "Arbitrage and Risk Arbitrage in the Nikkei Put Warrant Market," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 23, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• William T. Ziemba & S. Lleo & M. Zhitlukhin, 2020, "A Stopping Rule Model for Exiting Bubble-like Markets with Applications," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 24, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• H. D. Vinod, 2020, "Econometric Tools for Stress Testing Using Time Heterogeneity and Maximum Entropy," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 25, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• H. D. Vinod & John B. Guerard Jr., 2020, "Causality Studies of Real GDP, Unemployment, and Leading Indicators," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 26, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Robert A. Gillam & Russell Read, 2020, "Investing on the “Far Side of the Moon”: Capturing Capital Market Inclusion Opportunity across MEASA (Middle East–Africa–South Asia)," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 27, in: John B Guerard & William T Ziemba, "HANDBOOK OF APPLIED INVESTMENT RESEARCH".
• Chern Lu, 2020, "The Overview of WTI Crude Oil Futures’ Epic Fall," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 1, in: George Xianzhi Yuan, "The CME Vulnerability The Impact of Negative Oil Futures Trading".
• Rongbing Huang & George Yuan, 2020, "The Better Way for CME’s Execution: Based on the Perspective of Industry’s Best Practice Rule," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 2, in: George Xianzhi Yuan, "The CME Vulnerability The Impact of Negative Oil Futures Trading".
• James Zhan, 2020, "Impact of Negative Oil Price on Risk Measuring," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 3, in: George Xianzhi Yuan, "The CME Vulnerability The Impact of Negative Oil Futures Trading".
• Duoqi Xu & Peiran Wang & Yicheng Wang, 2020, "Three Legal Reflections on the “Crude Oil Treasure” Incident: Starting with the CME Rule Change," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 4, in: George Xianzhi Yuan, "The CME Vulnerability The Impact of Negative Oil Futures Trading".
• Chenghu Ma & Xianzhen Wang, 2020, "Why Oil Prices Plunged and Settled Negative: A Game-Theoretical Perspective," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 5, in: George Xianzhi Yuan, "The CME Vulnerability The Impact of Negative Oil Futures Trading".
• Cong Sui & Mo Yang, 2020, "Tanker Shipping and Negative Oil Prices: More Than Just the Freight Rates," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 6, in: George Xianzhi Yuan, "The CME Vulnerability The Impact of Negative Oil Futures Trading".
• Henry Yang, 2020, "Option Pricing with Shifted Lognormal Model for Negative Oil Prices," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 7, in: George Xianzhi Yuan, "The CME Vulnerability The Impact of Negative Oil Futures Trading".
• Bin Zhu, 2020, "The Paradox of Negative Oil Prices," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 8, in: George Xianzhi Yuan, "The CME Vulnerability The Impact of Negative Oil Futures Trading".
• Michael Peng, 2020, "The Challenges of Negative Oil Future Price Posed to Risk Managers and Quants," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 9, in: George Xianzhi Yuan, "The CME Vulnerability The Impact of Negative Oil Futures Trading".
• Weiping Li, 2020, "Negative Asset Pricing and Moral Hazard," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 10, in: George Xianzhi Yuan, "The CME Vulnerability The Impact of Negative Oil Futures Trading".
• You Zhang & Lingtong (Stanley) Meng, 2020, "The Bachelier Model: Option Pricing with Negative Strike and Asset Price," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 11, in: George Xianzhi Yuan, "The CME Vulnerability The Impact of Negative Oil Futures Trading".
• Yali Chang & Jianwu Lin & Chengying He, 2020, "Blockchain-based Options for Physical Settlement of Commodity Futures," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 12, in: George Xianzhi Yuan, "The CME Vulnerability The Impact of Negative Oil Futures Trading".
• Faria, Gonçalo & Verona, Fabio, 2020, "Frequency-domain information for active portfolio management," Bank of Finland Research Discussion Papers, Bank of Finland, number 2/2020.
• Faria, Gonçalo & Verona, Fabio, 2020, "Time-frequency forecast of the equity premium," Bank of Finland Research Discussion Papers, Bank of Finland, number 6/2020.
• Juselius, Mikael & Tarashev, Nikola A., 2020, "Forecasting expected and unexpected losses," Bank of Finland Research Discussion Papers, Bank of Finland, number 18/2020.
• Jager, Maximilian & Siemsen, Thomas & Vilsmeier, Johannes, 2020, "Interbank risk assessment: A simulation approach," Discussion Papers, Deutsche Bundesbank, number 23/2020.
• Hartwig, Benny & Meinerding, Christoph & Schüler, Yves, 2020, "Identifying indicators of systemic risk," Discussion Papers, Deutsche Bundesbank, number 33/2020.
• Kuntz, Laura-Chloé, 2020, "Beta dispersion and market timing," Discussion Papers, Deutsche Bundesbank, number 46/2020.
• Lux, Thomas, 2020, "Can heterogeneous agent models explain the alleged mispricing of the S&P 500?," Economics Working Papers, Christian-Albrechts-University of Kiel, Department of Economics, number 2020-03.
• Ruenzi, Stefan & Ungeheuer, Michael & Weigert, Florian, 2020, "Joint extreme events in equity returns and liquidity and their cross-sectional pricing implications," CFR Working Papers, University of Cologne, Centre for Financial Research (CFR), number 20-01.
• Hendriock, Mario, 2020, "Implied cost of capital and mutual fund performance," CFR Working Papers, University of Cologne, Centre for Financial Research (CFR), number 20-11.
• Chao, Shih-Kang & Härdle, Wolfgang Karl & Yuan, Ming, 2020, "Factorisable Multitask Quantile Regression," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2020-004.
• Xu, Xiu & Wang, Weining & Shin, Yongcheol, 2020, "Dynamic Spatial Network Quantile Autoregression," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2020-024.
• Demary, Markus & Hasenclever, Stefan, 2020, "IW Financial Expert Survey: Second Quarter 2020," IW-Reports, Institut der deutschen Wirtschaft (IW) / German Economic Institute, number 27/2020.
• Reh, Laura & Krüger, Fabian & Liesenfeld, Roman, 2020, "Predicting the global minimum variance portfolio," Working Paper Series in Economics, Karlsruhe Institute of Technology (KIT), Department of Economics and Management, number 141, DOI: 10.5445/IR/1000122441.
• Grammig, Joachim & Hanenberg, Constantin & Schlag, Christian & Sönksen, Jantje, 2020, "Diverging roads: Theory-based vs. machine learning-implied stock risk premia," University of Tübingen Working Papers in Business and Economics, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics, number 130, DOI: 10.15496/publikation-39286.
• Beckmann, Joscha & Czudaj, Robert L., 2020, "Fundamental determinants of exchange rate expectations," VfS Annual Conference 2020 (Virtual Conference): Gender Economics, Verein für Socialpolitik / German Economic Association, number 224617.
• Berislav Žmuk & Hrvoje Jošiæ, 2020, "Forecasting stock market indices using machine learning algorithms," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, volume 18, issue 4, pages 471-489.
• Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2020, "Forecasting the US Dollar-Korean Won Exchange Rate: A Factor-Augmented Model Approach," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2020-02, May.
• Hyeongwoo Kim & Wen Shi, 2020, "Forecasting Financial Vulnerability in the US: A Factor Model Approach," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2020-04, Jul.
• Mhamed-Ali El-Aroui & Wafa Snoussi, 2020, "Value-at-Risk in Frontier Markets: Adapted Models and Evidences from Two North-African Stock Exchanges," The African Finance Journal, Africagrowth Institute, volume 22, issue 1, pages 1-20.
• Bogdan Cosmin GOMOI, 2020, "Study Regarding the Budgeting of an Economic Entity’s Cash Flow in the Context of the Accrual Accounting System," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), volume 1, issue 11, pages 23-35, November, DOI: 10.37945/cbr.2020.11.03.
• Horia CRISTEA & Claudiu BOȚOC, 2020, "The Effects of Indebting the Entity as a Result of Choosing Long Term Financing," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), volume 1, issue 4, pages 38-45, April, DOI: 10.37945/cbr.2020.04.05.
• Elena Valentina ȚILICĂ & Radu CIOBANU, 2020, "The Time Value of Money," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), volume 1, issue 6, pages 38-42, June, DOI: 10.37945/cbr.2020.06.05.
• Elena Valentina ȚILICĂ & Radu CIOBANU, 2020, "Evaluation Indicators for Investment Projects (I)," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), volume 1, issue 7, pages 39-47, July, DOI: 10.37945/cbr.2020.07.05.
• Bogdan Cosmin GOMOI & Natalia Ioana PANTELIMON, 2020, "Comparative Analysis Regarding the Financial and Financing Structure of Limited Liability Companies," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), volume 1, issue 8, pages 30-40, August, DOI: 10.37945/cbr.2020.08.04.
• Elena Valentina ȚILICĂ & Radu CIOBANU, 2020, "Evaluation Indicators for Investment Projects (II)," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), volume 1, issue 8, pages 41-44, August, DOI: 10.37945/cbr.2020.08.05.
• Ayesha Haroon & Mumtaz Ahmed, 2020, "Change Management and Risk Assessment in IT Industry," Pakistan Journal of Economic Studies, Department of Economics, The Islamia University of Bahawalpur, Pakistan., volume 3, issue 2, pages 123-147, December.
• Farmer, J. Doyne & Kleinnijenhuis, Alissa & Wetzer, Thom & Wiersema, Garbrand, 2020, "Scenario-Free Analysis of Financial Stability with Interacting Contagion Channels," INET Oxford Working Papers, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, number 2019-10, Jan.
• Farmer, J. Doyne & Kleinnijenhuis, Alissa & Nahai-Williamson, Paul & Wetzer, Thom, 2020, "Foundations of system-wide financial stress testing with heterogeneous institutions," INET Oxford Working Papers, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, number 2020-14, May.
• Wei-Zhen Li & Jin-Rui Zhai & Zhi-Qiang Jiang & Gang-Jin Wang & Wei-Xing Zhou, 2020, "Predicting tail events in a RIA-EVT-Copula framework," Papers, arXiv.org, number 2004.03190, Apr, revised Apr 2020.
• Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020, "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers, arXiv.org, number 2004.07571, Apr.
• Fabrizio Cipollini & Giampiero M. Gallo & Alessandro Palandri, 2020, "A dynamic conditional approach to portfolio weights forecasting," Papers, arXiv.org, number 2004.12400, Apr.
• Victor Olkhov, 2020, "Classical Option Pricing and Some Steps Further," Papers, arXiv.org, number 2004.13708, Apr, revised Feb 2021.
• Michael Curran & Patrick O'Sullivan & Ryan Zalla, 2020, "Can Volatility Solve the Naive Portfolio Puzzle?," Papers, arXiv.org, number 2005.03204, May, revised Feb 2022.
• Victor Olkhov, 2020, "Volatility Depends on Market Trades and Macro Theory," Papers, arXiv.org, number 2008.07907, Aug, revised Jun 2024.
• Mykola Babiak & Jozef Barunik, 2020, "Deep Learning, Predictability, and Optimal Portfolio Returns," Papers, arXiv.org, number 2009.03394, Sep, revised Jul 2021.
• Tae-Hwy Lee & Ekaterina Seregina, 2020, "Optimal Portfolio Using Factor Graphical Lasso," Papers, arXiv.org, number 2011.00435, Nov, revised Apr 2023.
• John M. Maheu & Thomas H. McCurdy & Yong Song, 2020, "Bull and Bear Markets During the COVID-19 Pandemic," Papers, arXiv.org, number 2012.01623, Dec.
• César Omar López à vila & Norma Pontet Ubal, 2020, "Complementary break-even point with economic value added," Documentos de Investigación, Universidad ORT Uruguay. Facultad de Administración y Ciencias Sociales, number 128, Aug.
• Massimo Guidolin & Manuela Pedio, 2020, "Media Attention vs. Sentiment as Drivers of Conditional Volatility Predictions: An Application to Brexit," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 20145.
• Massimo Guidolin & Alexei Orlov, 2020, "Are Unconventional Monetary Policies a Priced Risk Factor for Hedge Fund Strategies?," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 20146.
• Nataliya Vnukova & Sergii Kavun & Oleh Kolodiziev & Svitlana Achkasova & Daria Hontar, 2020, "Indicators-Markers for Assessment of Probability of Insurance Companies Relatedness in Implementation of Risk-Oriented Approach," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 151-173.
• Alejandro García & Bena Lands & Xuezhi Liu & Joshua Slive, 2020, "The potential effect of a central bank digital currency on deposit funding in Canada," Staff Analytical Notes, Bank of Canada, number 2020-15, Jul, DOI: 10.34989/san-2020-15.
• Andrés Alonso & José Manuel Carbó, 2020, "Machine learning in credit risk: measuring the dilemma between prediction and supervisory cost," Working Papers, Banco de España, number 2032, Oct.
• Oleg N. Salmanov & Natalia V. Babina & Marina V. Samoshkina & Irina P. Drachena & Irina P. Salmanova, 2020, "The Effects Of Volatility And Changes In Conditional Correlations In The Stock Markets Of Russia And Developed Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, volume 65, issue 227, pages 67-94, October –.
• Salim Sercan SARI & Þule Yüksel YÝÐÝTER, 2020, "Borsa Istanbul Hisse Senedi Getirilerinin ANFIS Aracýlýðýyla Tahmin Edilmesi," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, volume 4, issue 1, pages 171-193, August, DOI: https://doi.org/10.33399/biibfad.74.
• Ingo Fender & Mike McMorrow & Vahe Sahakyan & Omar Zulaica, 2020, "Reserve management and sustainability: the case for green bonds?," BIS Working Papers, Bank for International Settlements, number 849, Mar.
• Omar Zulaica, 2020, "What share for gold? On the interaction of gold and foreign exchange reserve returns," BIS Working Papers, Bank for International Settlements, number 906, Nov.
• Mikael Juselius & Nikola Tarashev, 2020, "Forecasting expected and unexpected losses," BIS Working Papers, Bank for International Settlements, number 913, Dec.
• Kresta Aleš & Wang Anlan, 2020, "Portfolio Optimization Efficiency Test Considering Data Snooping Bias," Business Systems Research, Sciendo, volume 11, issue 2, pages 73-85, October, DOI: 10.2478/bsrj-2020-0016.
• Ramis Khabibullin & Alexey Ponomarenko, 2020, "An empirical behavioral model of households’ deposit dollarization," Bank of Russia Working Paper Series, Bank of Russia, number wps67, Dec.
• Andrea Barón & María Victoria Landaberry & Rodrigo Lluberas & Jorge Ponce, 2020, "Commercial and banking credit network in Uruguay," Documentos de trabajo, Banco Central del Uruguay, number 2020006.
• J Doyne Farmer & Alissa M Kleinnijenhuis & Paul Nahai-Williamson & Thom Wetzer, 2020, "Foundations of system-wide financial stress testing with heterogeneous institutions," Bank of England working papers, Bank of England, number 861, May.
• Simon Jurkatis, 2020, "Inferring trade directions in fast markets," Bank of England working papers, Bank of England, number 896, Dec.
• Hyeongwoo Kim & Soohyon Kim, 2020, "Common Factor Augmented Forecasting Models for the US Dollar-Korean Won Exchange Rate," Working Papers, Economic Research Institute, Bank of Korea, number 2020-5, Feb.