Research classified by Journal of Economic Literature (JEL) codes

2020

• Vahidin Jeleskovic & Mirko Meloni & Zahid Irshad Younas, 2020, "Cryptocurrencies: A Copula Based Approach for Asymmetric Risk Marginal Allocations," MAGKS Papers on Economics, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung), number 202034.
• Rahimi, Fatemeh & Mousavian Anaraki, Seyed Alireza, 2020, "Proposing an Innovative Model Based on the Sierpinski Triangle for Forecasting EUR/USD Direction Changes," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, volume 15, issue 4, pages 423-444, October.
• Eszter Boros, 2020, "Risks of Climate Change and Credit Institution Stress Tests," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), volume 19, issue 4, pages 107-131.
• Hanna Kołodziejczyk, 2020, "Identifying structural changes and associations in exchange rates with Markov switching models. The evidence from Central European currency markets," Bank i Kredyt, Narodowy Bank Polski, volume 51, issue 1, pages 69-90.
• Jacob Boudoukh & Ronen Israel & Matthew P. Richardson, 2020, "Biases in Long-Horizon Predictive Regressions," NBER Working Papers, National Bureau of Economic Research, Inc, number 27410, Jun.
• Stefan Simeonov & Theodor Todorov & Daniel Nikolaev, 2020, "Testing Methods And Models To Forecast Cryptocurrencies Exchange Rate," Economics and Management, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, volume 17, issue 1, pages 10-26.
• Branimir Cvitko Cicvarić, 2020, "Volatility of Cryptocurrencies," Notitia - journal for economic, business and social issues, Notitia Ltd., volume 1, issue 6, pages 13-23, December.
• E Philip Davis & Dilruba Karim & Dennison Noel, 2020, "The Effects of Macroprudential Policy on Banks' Profitability," National Institute of Economic and Social Research (NIESR) Discussion Papers, National Institute of Economic and Social Research, number 514, May.
• E Philip Davis & Dilruba Karim & Dennison Noel, 2020, "Macroprudential Policy, Monetary Policy and the Bank Interest Rate Margin," National Institute of Economic and Social Research (NIESR) Discussion Papers, National Institute of Economic and Social Research, number 515, Oct.
• VESA Lidia, 2020, "The Net Present Value And The Optimal Solution Of Linear Programming In Investment Decisions," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, volume 1, issue 2, pages 135-145, December.
• VESA Lidia, 2020, "Managing The Impact Of The Inventory Level On The Financial Ratios Through Dual Simplex Algorithm In The Coronavirus Crisis," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, volume 1, issue 2, pages 241-256, December.
• Xiao, Tim, 2020, "The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," arabixiv.org, Center for Open Science, number ep9dn, Jun, DOI: 10.31219/osf.io/ep9dn.
• Xiao, Tim, 2020, "The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," SocArXiv, Center for Open Science, number jc43a, Jun, DOI: 10.31219/osf.io/jc43a.
• Andrea Bucci, 2020, "Realized Volatility Forecasting with Neural Networks," Journal of Financial Econometrics, Oxford University Press, volume 18, issue 3, pages 502-531.
• Fabrizio Cipollini & Giampiero M Gallo & Alessandro Palandri, 2020, "Realized Variance Modeling: Decoupling Forecasting from Estimation," Journal of Financial Econometrics, Oxford University Press, volume 18, issue 3, pages 532-555.
• Chunhua Lan & Nikolai Roussanov, 2020, "Stock Price Movements: Business-Cycle and Low-Frequency Perspectives," The Review of Asset Pricing Studies, Society for Financial Studies, volume 10, issue 2, pages 335-395.
• Anna Scherbina & Bernd Schlusche, 2020, "Follow the Leader: Using the Stock Market to Uncover Information Flows between Firms
  [Trade credit and cross-country predictable firm returns]," Review of Finance, European Finance Association, volume 24, issue 1, pages 189-225.
• Prachi Deuskar & Nitin Kumar & Jeramia Allan Poland, 2020, "Signal on the Margin: Behavior of Levered Investors and Future Economic Conditions," Review of Finance, European Finance Association, volume 24, issue 5, pages 1039-1077.
• Philipp Adämmer & Rainer A Schüssler, 2020, "Forecasting the Equity Premium: Mind the News!," Review of Finance, European Finance Association, volume 24, issue 6, pages 1313-1355.
• Stijn Van Nieuwerburgh, 2020, "New Methods for the Cross-Section of Returns," The Review of Financial Studies, Society for Financial Studies, volume 33, issue 5, pages 1879-1890.
• Valentin Haddad & Serhiy Kozak & Shrihari Santosh & Stijn Van Nieuwerburgh, 2020, "Factor Timing," The Review of Financial Studies, Society for Financial Studies, volume 33, issue 5, pages 1980-2018.
• Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020, "Empirical Asset Pricing via Machine Learning," The Review of Financial Studies, Society for Financial Studies, volume 33, issue 5, pages 2223-2273.
• Alexis Akira Toda & Kieran James Walsh & Stijn Van Nieuwerburgh, 2020, "The Equity Premium and the One Percent," The Review of Financial Studies, Society for Financial Studies, volume 33, issue 8, pages 3583-3623.
• Ionela Munteanu, 2020, "Financial Reporting Quality and Operational Efficiency in the Coastal Region of Romania," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 2, pages 978-984, December.
• Yang Gao & Stephen Satchell & Nandini Srivastava, 2020, "Styles through a convergent/divergent lens: the curious case of ESG," Journal of Asset Management, Palgrave Macmillan, volume 21, issue 1, pages 4-12, February, DOI: 10.1057/s41260-019-00146-0.
• Lars Kaiser, 2020, "ESG integration: value, growth and momentum," Journal of Asset Management, Palgrave Macmillan, volume 21, issue 1, pages 32-51, February, DOI: 10.1057/s41260-019-00148-y.
• Tobias Götze & Marc Gürtler & Eileen Witowski, 2020, "Improving CAT bond pricing models via machine learning," Journal of Asset Management, Palgrave Macmillan, volume 21, issue 5, pages 428-446, September, DOI: 10.1057/s41260-020-00167-0.
• Stefano Zedda & Simone Sbaraglia, 2020, "Which interbank net is the safest?," Risk Management, Palgrave Macmillan, volume 22, issue 1, pages 65-82, March, DOI: 10.1057/s41283-019-00056-w.
• Andrés Berenguer & Luis Gandarias & Álvaro Arévalo, 2020, "Singular spectrum analysis for modelling the hard-to-model risk factors," Risk Management, Palgrave Macmillan, volume 22, issue 3, pages 178-191, September, DOI: 10.1057/s41283-020-00060-5.
• Michael Hanias & Stefanos Tsakonas & Lykourgos Magafas & Eleftherios I. Thalassinos & Loukas Zachilas, 2020, "Deterministic chaos and forecasting in Amazon’s share prices," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, volume 15, issue 2, pages 253-273, June, DOI: 10.24136/eq.2020.012.
• Grilli, Luca & Santoro, Domenico, 2020, "How Boltzmann Entropy Improves Prediction with LSTM," MPRA Paper, University Library of Munich, Germany, number 100578, May.
• Grilli, Luca & Santoro, Domenico, 2020, "Dualism in Bitcoin Dynamics: existence of an Upper Bound in Poincaré Recurrence Theorem for Deterministic vs Stochastic Behavior," MPRA Paper, University Library of Munich, Germany, number 101057, Jun.
• Rashid, Muhammad Mustafa, 2020, "The Greek Letters. Scenario Analysis with a Reverse Butterfly Spread," MPRA Paper, University Library of Munich, Germany, number 101723, Mar, revised 19 May 2020.
• Fantazzini, Dean, 2020, "Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries," MPRA Paper, University Library of Munich, Germany, number 102315, Aug.
• Fantazzini, Dean, 2020, "Discussing copulas with Sergey Aivazian: a memoir," MPRA Paper, University Library of Munich, Germany, number 102317, Aug.
• Olkhov, Victor, 2020, "Volatility Depend on Market Trades and Macro Theory," MPRA Paper, University Library of Munich, Germany, number 102434, Aug.
• Yardley, Ben, 2020, "The Effects of Donald Trump’s Tweets on The Stock Exchange," MPRA Paper, University Library of Munich, Germany, number 102578, Mar.
• Fantazzini, Dean & Kolodin, Nikita, 2020, "Does the hashrate affect the bitcoin price?," MPRA Paper, University Library of Munich, Germany, number 103812.
• Sinha, Pankaj & Sawaliya, Priya & Sinha, Prateek, 2020, "Surviving Coronavirus scare: A journey of stock market amid a slowdown in Indian Economy," MPRA Paper, University Library of Munich, Germany, number 103902, Jun, revised 20 Jun 2020.
• Maheu, John M & McCurdy, Thomas H & Song, Yong, 2020, "Bull and Bear Markets During the COVID-19 Pandemic," MPRA Paper, University Library of Munich, Germany, number 104504, Nov.
• Pincheira, Pablo & Hardy, Nicolas, 2020, "The Mean Squared Prediction Error Paradox: A summary," MPRA Paper, University Library of Munich, Germany, number 105020, Dec.
• Pincheira, Pablo & Jarsun, Nabil, 2020, "Summary of the Paper Entitled: Forecasting Fuel Prices with the Chilean Exchange Rate," MPRA Paper, University Library of Munich, Germany, number 105056, Dec.
• Olkhov, Victor, 2020, "Classical Option Pricing and Some Steps Further," MPRA Paper, University Library of Munich, Germany, number 105431, Apr, revised 28 Dec 2020.
• Tinoco, Marcos, 2020, "Modelando la volatilidad del diferencial TED: Una evaluación de pronósticos de modelos con heterocedasticidad condicional
  [Modeling the volatility of the TED spread: An assessment of model forecasts with conditional heteroscedasticity]," MPRA Paper, University Library of Munich, Germany, number 108086, Oct.
• Mansur, Alfan & Nizar, Muhammad Afdi, 2020, "Menilik Perkembangan Sektor Keuangan Indonesia di Tengah Pandemi
  [Observing the Development of Indonesia's Financial Sector Amid the Pandemic]," MPRA Paper, University Library of Munich, Germany, number 109336, Dec.
• Aliyu, Shehu Usman Rano, 2020, "What have we learnt from modelling stock returns in Nigeria: Higgledy-piggledy?," MPRA Paper, University Library of Munich, Germany, number 110382, Jun, revised 06 Jun 2021.
• Limba, Franco & Rijoly, Jacobus Cliff Diky & Tarangi, Margreath, 2020, "Black Swan Global Market: Analysis of the Effect of the Covid-19 Death Rate on the Volatility of European Football Club Stock Prices (Case Study of Juventus F.C., Manchester United, Ajax Amsterdam and Borussia Dortmund)," MPRA Paper, University Library of Munich, Germany, number 120396, Jul.
• Skufi, Lorena, 2020, "Financial sector and macroeconomics links in MEAM," MPRA Paper, University Library of Munich, Germany, number 120481, revised 2020.
• Zarei, Samira, 2020, "Analyzing the Asymmetric Effects of Inflation and Exchange Rate Misalignments on the Petrochemical Stock index: The Case of Iran," MPRA Paper, University Library of Munich, Germany, number 99101, Feb.
• Grilli, Luca & Santoro, Domenico, 2020, "Boltzmann Entropy in Cryptocurrencies: A Statistical Ensemble Based Approach," MPRA Paper, University Library of Munich, Germany, number 99591, Apr.
• Grilli, Luca & Santoro, Domenico, 2020, "Generative Adversarial Network for Market Hourly Discrimination," MPRA Paper, University Library of Munich, Germany, number 99846, Apr.
• Olkhov, Victor, 2020, "Classical Option Pricing and Some Steps Further," MPRA Paper, University Library of Munich, Germany, number 99918, Apr.
• Tweneboah Senzu, Emmanuel, 2020, "Modern currency exchange rate behaviour and proposed trend-like forecasting model," MPRA Paper, University Library of Munich, Germany, number 99933, May.
• Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020, "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Working Papers, University of Pretoria, Department of Economics, number 202003, Jan.
• 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.
• Ramona Serrano Bautista & Leovardo Mata Mata, 2020, "A conditional heteroscedastic VaR approach with alternative distributions," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., volume 17, issue 2, pages 81-98, Julio-Dic.
• 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 Calculate Them," 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 Institutional Sectors in the Regions of the Siberian," 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(0x857207e0).
• 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(0x84bb9390).
• 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.