Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ G: Financial Economics
/ / G1: General Financial Markets
/ / / G17: Financial Forecasting and Simulation

2024

• Pratish Patel & Andrew Raquel & Savannah Chadwick, 2024. "The cash-secured put-write strategy and the variance risk premium," Journal of Asset Management, Palgrave Macmillan, vol. 25(1), pages 31-50, February.
• Vipul Kumar Singh & Pawan Kumar, 2024. "Effectiveness of deterministic option pricing models: new evidence from Nifty and Bank Nifty Index options," Journal of Asset Management, Palgrave Macmillan, vol. 25(2), pages 172-189, March.
• Mikhail Samonov & Nonna Sorokina, 2024. "A century of asset allocation crash risk," Journal of Asset Management, Palgrave Macmillan, vol. 25(4), pages 383-406, July.
• Valeriy Zakamulin & Javier Giner, 2024. "Optimal trend-following rules in two-state regime-switching models," Journal of Asset Management, Palgrave Macmillan, vol. 25(4), pages 327-348, July.
• Ka Kei Chan & E. Philip Davis & Dilruba Karim, 2024. "Macroprudential policy, bank competition and bank risk in East Asia," Journal of Banking Regulation, Palgrave Macmillan, vol. 25(3), pages 326-358, September.
• Gianluca P. M. Virgilio & Manuel Ernesto Paz López, 2024. "Revisiting noise—Fischer Black’s noise at the time of high-frequency trading," Risk Management, Palgrave Macmillan, vol. 26(4), pages 1-22, December.
• Beckmann, Joscha & Czudaj, Robert L., 2020. "Fundamental determinants of exchange rate expectations," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224617, Verein für Socialpolitik / German Economic Association.
  • Beckmann, Joscha & Czudaj, Robert L., 2024. "Fundamental determinants of exchange rate expectations," MPRA Paper 120648, University Library of Munich, Germany.
  • Joscha Beckmann & Robert L. Czudaj, 2022. "Fundamental determinants of exchange rate expectations," Chemnitz Economic Papers 056, Department of Economics, Chemnitz University of Technology, revised Mar 2022.
• Dean Fantazzini, 2024. "Adaptive Conformal Inference for Computing Market Risk Measures: An Analysis with Four Thousand Crypto-Assets," JRFM, MDPI, vol. 17(6), pages 1-44, June.
  • Fantazzini, Dean, 2024. "Adaptive Conformal Inference for computing Market Risk Measures: an Analysis with Four Thousands Crypto-Assets," MPRA Paper 121214, University Library of Munich, Germany.
• Khanam, Rifat Binte & Rabeya, Jannatul Ferdous & Hasan, Amena, 2024. "Building Trust, Fueling Growth: The Cornerstone Role of Capital Market Governance in Bangladesh," MPRA Paper 121449, University Library of Munich, Germany, revised 08 May 2024.
• Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2024. "Forecasting Realized US Stock Market Volatility: Is there a Role for Economic Policy Uncertainty?," Working Papers 202408, University of Pretoria, Department of Economics.
• Yuvana Jaichand & Renee van Eyden & Rangan Gupta, 2024. "Presidential Approval Ratings and Stock Market Performance in Latin America," Working Papers 202411, University of Pretoria, Department of Economics.
• Elie Bouri & Rangan Gupta & Asingamaanda Liphadzi & Christian Pierdzioch, 2024. "Forecasting Stock Returns Volatility of the G7 Over Centuries: The Role of Climate Risks," Working Papers 202424, University of Pretoria, Department of Economics.
• Elie Bouri & Rangan Gupta & Christian Pierdzioch & Onur Polat, 2024. "Forecasting U.S. Recessions Using Over 150 Years of Data: Stock-Market Moments versus Oil-Market Moments," Working Papers 202435, University of Pretoria, Department of Economics.
• Vincenzo Candila & Oguzhan Cepni & Giampiero M. Gallo & Rangan Gupta, 2024. "Influence of Local and Global Economic Policy Uncertainty on the Volatility of US State-Level Equity Returns: Evidence from a GARCH-MIDAS Approach with Shrinkage and Cluster Analysis," Working Papers 202437, University of Pretoria, Department of Economics.
• Jáchym Novotný, 2024. "Evaluation of Accuracy of Exchange Rate Expectation Models for Understanding Observed Expectations," Politická ekonomie, Prague University of Economics and Business, vol. 2024(5), pages 752-779.
• Savvakis C. Savvides, 2024. "Wealth Concentration Leads To Wealth Extraction," Development Discussion Papers 2024-05, JDI Executive Programs.
• Savvakis C. Savvides, 2024. "The Evolution Of A Rentier Economy And The Suppression Of Economic Welfare," Development Discussion Papers 2024-06, JDI Executive Programs.
• Andres Olmos & Nelson Muriel, 2024. "Accurate delta hedging of european options using conformable calculus," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 21(1), pages 59-69, January-J.
• Guo, Xiaomin & Dong, Huijian & Patterson, Gary A., 2024. "Equity Returns Around Extreme Loss: A Stochastic Event Approach," American Business Review, Pompea College of Business, University of New Haven, vol. 27(1), pages 207-220, May.
• Pogorelova, Polina, 2024. "Investigation of the impact of uncertainty indices on Bitcoin volatility using the ARDL model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 74, pages 35-50.
• Escobar Caba, Luis Fernando & Banegas Rivero, Roger Alejandro, 2024. "Volatilidad en los depósitos bancarios en Bolivia: GARCH simétrico y asimétrico," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 41, pages 69-102, May.
• Robert-?tefan CONSTANTIN & Marina-Diana AGAFI?EI & Adriana AnaMaria DAVIDESCU, 2024. "Enhancing Portfolio Structure with Evolutionary Multi-Objective Optimisation," PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ECONOMICS AND SOCIAL SCIENCES, Bucharest University of Economic Studies, Romania, vol. 6(1), pages 682-691, August.
• Krzysztof DRACHAL, 2024. "Bayesian Symbolic Regression and Other Similar Methods as a Tool for Forecasting Commodities Prices," PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ECONOMICS AND SOCIAL SCIENCES, Bucharest University of Economic Studies, Romania, vol. 6(1), pages 703-713, August.
• Taiwo BOLARINWA, 2024. "Computable General Equilibrium (CGE) Models: A Comprehensive Review and Future Directions," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(1), pages 158-167, February.
• Mark P. Doblas & Jishanis Mae G. Becaro & Jayendira P. Sankar & Vinodh K. Natarajan & Yoganandham G. & Arumugasamy G., 2024. "Testing Integrative Models of the Change Behavior in the Intention to Adopt Cryptocurrency," SAGE Open, , vol. 14(2), pages 21582440241, May.
• Tomasz Korol, 2024. "Multi-factor fuzzy sets decision system forecasting consumer insolvency risk," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 51(3), pages 279-302, September.
• Ewelina Osowska & Piotr Wójcik, 2024. "Predicting the reaction of financial markets to Federal Open Market Committee post-meeting statements," Digital Finance, Springer, vol. 6(1), pages 145-175, March.
• Marc-Aurèle Divernois & Damir Filipović, 2024. "StockTwits classified sentiment and stock returns," Digital Finance, Springer, vol. 6(2), pages 249-281, June.
• Parthajit Kayal & Sumanjay Dutta, 2024. "Regime switching and causal network analysis of cryptocurrency volatility: evidence from pre-COVID and post-COVID analysis," Digital Finance, Springer, vol. 6(2), pages 319-340, June.
• Zirui Guo & Yihan Li & Guangyan Jia, 2024. "Research on the effectiveness of the volatility–tail risk-managed portfolios in China’s market," Empirical Economics, Springer, vol. 66(3), pages 1191-1222, March.
• Zhikai Zhang & Yaojie Zhang & Yudong Wang, 2024. "Forecasting the equity premium using weighted regressions: Does the jump variation help?," Empirical Economics, Springer, vol. 66(5), pages 2049-2082, May.
• Massimiliano Caporin & C. Vladimir Rodríguez-Caballero & Esther Ruiz, 2024. "The factor structure of exchange rates volatility: global and intermittent factors," Empirical Economics, Springer, vol. 67(1), pages 31-45, July.
• Huawei Niu & Tianyu Liu, 2024. "Forecasting the volatility of European Union allowance futures with macroeconomic variables using the GJR-GARCH-MIDAS model," Empirical Economics, Springer, vol. 67(1), pages 75-96, July.
• Virginie Terraza & Aslı Boru İpek & Mohammad Mahdi Rounaghi, 2024. "The nexus between the volatility of Bitcoin, gold, and American stock markets during the COVID-19 pandemic: evidence from VAR-DCC-EGARCH and ANN models," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-34, December.
• Mahdi Ghaemi Asl & David Roubaud, 2024. "Asymmetric interactions among cutting-edge technologies and pioneering conventional and Islamic cryptocurrencies: fresh evidence from intra-day-based good and bad volatilities," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-49, December.
• Blanco-Oliver Antonio & Lara-Rubio Juan & Irimia-Diéguez Ana & Liébana-Cabanillas Francisco, 2024. "Examining user behavior with machine learning for effective mobile peer-to-peer payment adoption," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-30, December.
• Malvina Marchese & María Dolores Martínez-Miranda & Jens Perch Nielsen & Michael Scholz, 2024. "Robustifying and simplifying high-dimensional regression with applications to yearly stock return and telematics data," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-16, December.
• Christian Bayer & Denis Belomestny & Oleg Butkovsky & John Schoenmakers, 2024. "A reproducing kernel Hilbert space approach to singular local stochastic volatility McKean–Vlasov models," Finance and Stochastics, Springer, vol. 28(4), pages 1147-1178, October.
• Jeremiah Green & John R. M. Hand & Anywhere Sikochi, 2024. "The asymmetric mispricing information in analysts’ target prices," Review of Accounting Studies, Springer, vol. 29(1), pages 889-915, March.
• Somnath Das & Philipp D. Schaberl & Pradyot K. Sen, 2024. "Analysts’ use of dividends in earnings forecasts," Review of Accounting Studies, Springer, vol. 29(2), pages 1192-1234, June.
• Chris Reimann, 2024. "Predicting financial crises: an evaluation of machine learning algorithms and model explainability for early warning systems," Review of Evolutionary Political Economy, Springer, vol. 5(1), pages 51-83, June.
• Hengzhen Lu & Qiujin Gao & Ling Xiao & Gurjeet Dhesi, 2024. "Forecasting EUA futures volatility with geopolitical risk: evidence from GARCH-MIDAS models," Review of Managerial Science, Springer, vol. 18(7), pages 1917-1943, July.
• Tri Minh Phan, 2024. "Sentiment-semantic word vectors: A new method to estimate management sentiment," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-22, December.
• Joana Katina & Joana Katina & Igor Katin & Igor Katin & Vera Komarova, 2024. "Cryptocurrency price forecasting: a comparative analysis of autoregressive and recurrent neural network models," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 11(4), pages 425-436, June.
• Kamil Kladívko & Pär Österholm, 2024. "Analysts versus the random walk in financial forecasting: evidence from the Czech National Bank’s Financial Market Inflation Expectations survey," Applied Economics, Taylor & Francis Journals, vol. 56(17), pages 2077-2088, April.
  • Kladívko, Kamil & Österholm, Pär, 2022. "Analysts versus the Random Walk in Financial Forecasting: Evidence from the Czech National Bank’s Financial Market Inflation Expectations Survey," Working Papers 2022:14, Örebro University, School of Business.
• Felix Haase, 2024. "Sum-of-the-Parts Revised: Economic Regimes and Flexible Probabilities," Research Papers in Economics 2024-10, University of Trier, Department of Economics.
• Javier Gil-Bazo & Alexander Kempf & Raffaele Santioni, 2024. "Geographic shareholder dispersion and mutual fund flow risk," Temi di discussione (Economic working papers) 1461, Bank of Italy, Economic Research and International Relations Area.
  • Javier Gil-Bazo & Raffaele Santioni, 2024. "Geographic shareholder dispersion and mutual fund flow risk," Economics Working Papers 1886, Department of Economics and Business, Universitat Pompeu Fabra.
  • Javier Gil-Bazo & Raffaele Santioni, 2024. "Geographic Shareholder Dispersion and Mutual Fund Flow Risk," Working Papers 1440, Barcelona School of Economics.
• Paolo Pellizzari, 2024. "Learning Whether to Be Informed in an Agent-Based Evolutionary Market Model," Working Papers 2024: 03, Department of Economics, University of Venice "Ca' Foscari".
• HABIBI, Reza, 2024. "A Note On The Early Warning System Of Change Points: Combination Of Regime Switching And Threshold Models," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 28(2), pages 6-18, June.
• Brygała Magdalena & Korol Tomasz, 2024. "Personal bankruptcy prediction using machine learning techniques," Economics and Business Review, Sciendo, vol. 10(2), pages 118-142.
• Abu-Alkhei Ahmad M. & Alsharari Nizar M. & Khan Walayet A. & Ramzani Sara R. & Horam Phungmayo, 2024. "Examining the performance of Shari’ah-compliant versus conventional stock indexes: A comparative analysis pre‑, during, and post-COVID-19," Economics and Business Review, Sciendo, vol. 10(2), pages 31-59.
• Jana Subrata & Giri Bibhas Chandra & Sarkar Anirban & Jana Chiranjibe & Stević Željko & Radovanović Marko, 2024. "Application of Fuzzy AHP in Priority Based Selection of Financial Indices: A Perspective for Investors," Economics, Sciendo, vol. 12(1), pages 1-7, April.
• Trung Do Duc & Dudić Branislav & Dung Hoang Tien & Truong Nguyen Xuan, 2024. "Innovation in Financial Health Assessment: Applying MCDM Techniques to Banks in Vietnam," Economics, Sciendo, vol. 12(2), pages 21-33.
• Stanisław Łaniewski & Robert Ślepaczuk, 2024. "Enhancing literature review with NLP methods Algorithmic investment strategies case," Working Papers 2024-16, Faculty of Economic Sciences, University of Warsaw.
• Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2024. "Business applications and state‐level stock market realized volatility: A forecasting experiment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 456-472, March.
  • Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2022. "Business Applications and State-Level Stock Market Realized Volatility: A Forecasting Experiment," Working Papers 202247, University of Pretoria, Department of Economics.
• Pablo Pincheira Brown & Nicolás Hardy, 2024. "Correlation‐based tests of predictability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1835-1858, September.
  • Pincheira, Pablo & Hardy, Nicolas, 2022. "Correlation Based Tests of Predictability," MPRA Paper 112014, University Library of Munich, Germany.
• Alia Ajmal & Chaudhry Abdullah Imran Sahi & Wing-Keung -Wong & Ramzan Ali & Abid Rasheed, 2024. "Factors Affecting the Crude Oil Prices Volatility: A Case Study of the USA, China, Japan, Germany and India," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 1-26, March.
• Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), 2024. "Artificial Intelligence and Beyond for Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number q0449, September.
• Massimo Guidolin, 2024. "Machine Learning in Portfolio Decisions," World Scientific Book Chapters, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), Artificial Intelligence and Beyond for Finance, chapter 1, pages 1-72, World Scientific Publishing Co. Pte. Ltd..
• Manuela Pedio, 2024. "Natural Language Processing and Stock Returns," World Scientific Book Chapters, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), Artificial Intelligence and Beyond for Finance, chapter 2, pages 73-102, World Scientific Publishing Co. Pte. Ltd..
• René Garcia & Alissa Marinenko, 2024. "Portfolio Allocation and Reinforcement Learning," World Scientific Book Chapters, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), Artificial Intelligence and Beyond for Finance, chapter 3, pages 103-148, World Scientific Publishing Co. Pte. Ltd..
• Silvio Andrae, 2024. "Explainable Artificial Intelligence in Risk Management: A Framework," World Scientific Book Chapters, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), Artificial Intelligence and Beyond for Finance, chapter 4, pages 149-206, World Scientific Publishing Co. Pte. Ltd..
• Abraham Itzhak Weinberg, 2024. "How Can Sentiment Analysis Contribute to Financial Markets and Services?," World Scientific Book Chapters, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), Artificial Intelligence and Beyond for Finance, chapter 5, pages 207-234, World Scientific Publishing Co. Pte. Ltd..
• Alessio Faccia, 2024. "Quantum Fintech," World Scientific Book Chapters, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), Artificial Intelligence and Beyond for Finance, chapter 6, pages 235-263, World Scientific Publishing Co. Pte. Ltd..
• Veni Arakelian & Roberto Savona & Marika Vezzoli, 2024. "Tail Dependence of Eurozone Bond Yields and Sovereign CDS Spreads," World Scientific Book Chapters, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), Artificial Intelligence and Beyond for Finance, chapter 7, pages 265-287, World Scientific Publishing Co. Pte. Ltd..
• Yuanyuan Zhang & Stephen Chan & Jeffrey Chu & Xin Liao & Min Helu, 2024. "Stylized Facts of Decentralized Finance (DeFi)," World Scientific Book Chapters, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), Artificial Intelligence and Beyond for Finance, chapter 8, pages 289-314, World Scientific Publishing Co. Pte. Ltd..
• Reem Abdulla Alkhalifa & Riadh Ksantini & Khaoula Tbarki, 2024. "Effective Systems for Bot Detection and Real-Time Stock Market Predictions," World Scientific Book Chapters, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), Artificial Intelligence and Beyond for Finance, chapter 9, pages 315-336, World Scientific Publishing Co. Pte. Ltd..
• Mazin A.M. Al Janabi, 2024. "Reinforcement Machine Learning Optimization Algorithms for the Computation of Downside Risk and Investable Portfolios in Post 2007–2009 Financial Meltdown," World Scientific Book Chapters, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), Artificial Intelligence and Beyond for Finance, chapter 10, pages 337-357, World Scientific Publishing Co. Pte. Ltd..
• Alaa Tareq Mohamed & Riadh Ksantini & Jihene Kaabi, 2024. "Deep Learning in Insurance: An Incremental Deep Learning Approach for Pricing Prediction Strategy in the Insurance Industry," World Scientific Book Chapters, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), Artificial Intelligence and Beyond for Finance, chapter 11, pages 359-391, World Scientific Publishing Co. Pte. Ltd..
• Koponen, Heidi, 2024. "Constructing a composite indicator to assess cyclical systemic risks: An early warning approach," BoF Economics Review 3/2024, Bank of Finland.
• Kieren, Pascal & König-Kersting, Christian & Schmidt, Robert J. & Trautmann, Stefan T. & Theurich, Franziska, 2024. "First-order and higher-order inflation expectations: Evidence about households and firms," Discussion Papers 18/2024, Deutsche Bundesbank.
• Bednarek, Peter & Franke, Günter, 2024. "Dynamics of probabilities of default," Discussion Papers 32/2024, Deutsche Bundesbank.
• Ohlrogge, Hans Christian & Isselstein, Franz Caspar, 2024. ""Towards an index for investable security tokens": A feasibility study," IU Discussion Papers - Business & Management 9 (JUL 2024), IU International University of Applied Sciences.
• Kim, Hyeongwoo & Son, Jisoo, 2023. "What Charge-Off Rates Are Predictable by Macroeconomic Latent Factors?," MPRA Paper 116880, University Library of Munich, Germany.
  • Hyeongwoo Kim & Jisoo Son, 2024. "What Charge-Off Rates Are Predictable by Macroeconomic Latent Factors?," Auburn Economics Working Paper Series auwp2024-01, Department of Economics, Auburn University.
  • Hyeongwoo Kim & Jisoo Son, 2023. "What Charge-Off Rates Are Predictable by Macroeconomic Latent Factors?," Auburn Economics Working Paper Series auwp2023-06, Department of Economics, Auburn University.
• Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2024. "Predictive Power of U.S. Macroeconomic Factors for the Dollar/Won Real Exchange Rate," Auburn Economics Working Paper Series auwp2024-02, Department of Economics, Auburn University.
• Arif Sezgin & Sinan Aytekin & Şakir Sakarya, 2024. "Finansal Performansın Ölçülmesinde Piotroski F-Skoru Bileşenleri ve ÇKKV Yöntemlerinin Bağlantısı: MEREC Tabanlı MARCOS Uygulaması," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 9(2), pages 367-395.
• İbrahim Tutar & Özge Orbey, 2024. "Start-up Değerlemesi: Yeni bir Yöntem Önerisi," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 9(3), pages 549-574.
• Adil Haniev, 2024. "Intangible Assets and US Stock Returns: An analysis using the Index Method, Panel Regression, and Machine Learning," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 23(3), pages 833-854.
• Ажгалиева Д. // Azhgaliyeva D. & Капсалямова З. // Kapsalyamova Z., 2024. "Государственная поддержка в продвижении зеленых облигаций в Азии: эмпирические данные // Policy support in promoting green bonds in Asia: empirical evidence," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 63-64.
• Konrad Raczkowski & Jarosław Klepacki, 2024. "Typologia metod prognozowania kursu walutowego," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 3, pages 350-366.
• Alexander E. Abramov & Maria I. Chernova, 2024. "Improving pension savings investing: The case of Russia," Russian Journal of Economics, ARPHA Platform, vol. 10(1), pages 34-59, March.
• Kausik, B.N., 2023. "Equity Premium in Efficient Markets," MPRA Paper 119278, University Library of Munich, Germany.
  • B. N. Kausik, 2024. "Equity Premium in Efficient Markets," Papers 2401.09265, arXiv.org.
• Ishaq Mustapha Akinlaso & Abdessamad Raghibi & Abdul-Baaqi Adebisi Jempeji, 2024. "Do Asian Islamic Equities Offer Diversification Benefits in Cryptocurrency Portfolio in Times of Increased Uncertainty?," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 4(4), pages 1-8.
• Lukman Lasisi & Philip C. Omoke & Afees A. Salisu, 2024. "Climate Policy Uncertainty and Stock Market Volatility," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 5(2), pages 1-6.
• Muhammd Istan, 2024. "Analysis of the Influence of Assets Structure, Earning Volatility, and Financial Flexibility on Capital Structure and Corporate Performance in Manufacturing Sector Companies on the IDX," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 49-65.
• Svetoslav Borisov, 2024. "Bitcoin – Hedge or Speculative Asset: Analysis of Its Role and Nature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 148-170.
• Arturo Pablo Macías Fernández & Ignacio de la Peña Leal, 2024. "Sensibilidad a los tipos de interés soberanos de la cartera de colateral elegible para los préstamos de política monetaria," Occasional Papers 2417, Banco de España.
• Javier Gil-Bazo & Raffaele Santioni, 2024. "Geographic Shareholder Dispersion and Mutual Fund Flow Risk," Working Papers 1440, Barcelona School of Economics.
  • Javier Gil-Bazo & Alexander Kempf & Raffaele Santioni, 2024. "Geographic shareholder dispersion and mutual fund flow risk," Temi di discussione (Economic working papers) 1461, Bank of Italy, Economic Research and International Relations Area.
  • Javier Gil-Bazo & Raffaele Santioni, 2024. "Geographic shareholder dispersion and mutual fund flow risk," Economics Working Papers 1886, Department of Economics and Business, Universitat Pompeu Fabra.
• Fredy Gamboa-Estrada & José Vicente Romero, 2024. "Geopolitical Risk and Emerging Markets Sovereign Risk Premia," Borradores de Economia 1282, Banco de la Republica de Colombia.
• Javier Gil-Bazo & Raffaele Santioni, 2024. "Geographic shareholder dispersion and mutual fund flow risk," Economics Working Papers 1886, Department of Economics and Business, Universitat Pompeu Fabra.
  • Javier Gil-Bazo & Raffaele Santioni, 2024. "Geographic Shareholder Dispersion and Mutual Fund Flow Risk," Working Papers 1440, Barcelona School of Economics.
  • Javier Gil-Bazo & Alexander Kempf & Raffaele Santioni, 2024. "Geographic shareholder dispersion and mutual fund flow risk," Temi di discussione (Economic working papers) 1461, Bank of Italy, Economic Research and International Relations Area.
• Juan R. Hernández, 2024. "Covered interest parity: a forecasting approach to estimate the neutral band," BIS Working Papers 1206, Bank for International Settlements.
• Phạm Thu Hương & Hoàng Mạnh Hùng & Lê Đạt Chí, 2024. "Ứng dụng mô hình F-SCORE cho chiến lược đầu tư cổ phiếu tại Sở Giao dịch Chứng khoán Thành phố Hồ Chí Minh," TẠP CHÍ KHOA HỌC ĐẠI HỌC MỞ THÀNH PHỐ HỒ CHÍ MINH - KINH TẾ VÀ QUẢN TRỊ KINH DOANH, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 19(5), pages 46-58.
• Olivier Dessaint & Thierry Foucault & Laurent Fresard, 2024. "Does Alternative Data Improve Financial Forecasting? The Horizon Effect," Journal of Finance, American Finance Association, vol. 79(3), pages 2237-2287, June.
  • Foucault, Thierry & Frésard, Laurent, 2021. "Does Alternative Data Improve Financial Forecasting? The Horizon Effect," CEPR Discussion Papers 15786, C.E.P.R. Discussion Papers.
• Akihito Yoneyama & Akitaka Tsuchiya & Noritaka Fukuma, 2024. "Changes in Risk Perceptions on Yen Interest Rates and Exchange Rates Observed in Options Markets: Developments in Implied Probability Distributions amid Rate Hikes in the United States and Europe from," Bank of Japan Review Series 24-E-8, Bank of Japan.
• Liu Jinan & Serletis Apostolos, 2024. "Volatility and dependence in cryptocurrency and financial markets: a copula approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(1), pages 119-149, February.
• Baruník Jozef & Fišer Pavel, 2024. "Co-Jumping of Treasury Yield Curve Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 481-506.
  • Jozef Barunik & Pavel Fiser, 2019. "Co-jumping of Treasury Yield Curve Rates," Papers 1905.01541, arXiv.org.
• Marfè, Roberto & Pénasse, Julien, 2024. "Measuring macroeconomic tail risk," Journal of Financial Economics, Elsevier, vol. 156(C).
  • Roberto Marfè & Julien Pénasse, 2020. "Measuring Macroeconomic Tail Risk," Carlo Alberto Notebooks 621, Collegio Carlo Alberto.
  • Roberto Marfe & Julien Penasse, 2024. "Measuring Macroeconomic Tail Risk," Carlo Alberto Notebooks 715 JEL Classification: E, Collegio Carlo Alberto.
• Markus Leippold & Michal Svaton, 2024. "Scheduling Processes and Inference of Scheduled Events From Price Data," Swiss Finance Institute Research Paper Series 24-12, Swiss Finance Institute.
• Soros Chitsiripanich & Marc S. Paolella & Pawel Polak & Patrick S. Walker, 2024. "Smoothing Out Momentum and Reversal," Swiss Finance Institute Research Paper Series 24-47, Swiss Finance Institute.
• Penaranda, Francisco & Sentana, Enrique, 2024. "Portfolio management with big data," CEPR Discussion Papers 19314, C.E.P.R. Discussion Papers.
  • Francisco Peñaranda & Enrique Sentana, 2024. "Portfolio management with big data," Working Papers wp2024_2411, CEMFI.
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• Wu, Xinyu & Qian, Jia & Zhao, Xiaohan, 2024. "Forecasting Chinese stock market volatility with option-implied risk aversion: Evidence from extended realized EGARCH-MIDAS approach," Pacific-Basin Finance Journal, Elsevier, vol. 83(C).
• Park, Dojoon & Hahn, Jaehoon & Eom, Young Ho, 2024. "Predicting the equity premium with financial ratios: A comprehensive look over a long period in Korea," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
• Deng, Shangkun & Luo, Qunfang & Zhu, Yingke & Ning, Hong & Shimada, Tatsuro, 2024. "Financial risk forewarning with an interpretable ensemble learning approach: An empirical analysis based on Chinese listed companies," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
• Le, Cao Hoang Anh & Shan, Yaowen & Taylor, Stephen, 2024. "International economic policy uncertainty and analysts' earnings forecasts," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
• Tang, Wenjin & Bu, Hui & Ji, Yuqiong & Li, Zhongfei, 2024. "Market uncertainty and information content in complex seasonality of prices," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
• Wu, Xinyu & Zhao, An & Wang, Yuyao & Han, Yang, 2024. "Forecasting Chinese stock market volatility with high-frequency intraday and current return information," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
• Zhong, Hao & He, Xiaoxiao & Li, Yuqi, 2024. "Is there a time-series momentum effect in the Asian crude oil futures market?," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
• Salisu, Afees A. & Ogbonna, Ahamuefula E. & Gupta, Rangan & Bouri, Elie, 2024. "Energy-related uncertainty and international stock market volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 280-293.
  • Afees A. Salisu & Ahamuefula E. Ogbonna & Rangan Gupta & Elie Bouri, 2023. "Energy-Related Uncertainty and International Stock Market Volatility," Working Papers 202336, University of Pretoria, Department of Economics.
• Atance, David & Serna, Gregorio, 2024. "Time-varying expected returns, conditional skewness and Bitcoin return predictability," The Quarterly Review of Economics and Finance, Elsevier, vol. 96(C).
• Huang, Alex YiHou, 2024. "Mechanisms of overpricing: An investigation on momentum crashes," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 118-142.
• Luo, Tao & Sun, Huaping & Zhang, Lixia & Bai, Jiancheng, 2024. "Do the dynamics of macroeconomic attention drive the yen/dollar exchange market volatility?," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 597-611.
• Li, Xiaodan & Gong, Xue & Ge, Futing & Huang, Jingjing, 2024. "Forecasting stock volatility using pseudo-out-of-sample information," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 123-135.
• Peterburgsky, Stanley, 2024. "Size, value and volatility," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 752-763.
• Huang, Mu-Nan & Lee, Han-Hsing, 2024. "Inter-industry network and credit risk," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 598-625.
• Nasreen, Samia & Tiwari, Aviral Kumar & Goodell, John W. & Tedeschi, Marco, 2024. "Asymmetric and frequency-domain spillover effects among industrial metals, precious metals, and energy futures markets," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1556-1592.
• Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2024. "Forecasting the effect of extreme sea-level rise on financial market risk," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 1-27.
• Sato, Ayano & Nakata, Hayato & Percy, Jay, 2024. "Time-variant safe haven currencies," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 316-328.
• Li, Zhao-Chen & Xie, Chi & Wang, Gang-Jin & Zhu, You & Zeng, Zhi-Jian & Gong, Jue, 2024. "Forecasting global stock market volatilities: A shrinkage heterogeneous autoregressive (HAR) model with a large cross-market predictor set," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 673-711.
• Deprez, Niek & Frömmel, Michael, 2024. "Are simple technical trading rules profitable in bitcoin markets?," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 858-874.
• Abdelaziz Eissa, Mohamed & Al Refai, Hisham, 2024. "Context-dependent responses to geopolitical risk in Middle Eastern and African stock markets: An asymmetric volatility spillover study," International Review of Economics & Finance, Elsevier, vol. 94(C).
• Patra, Saswat, 2024. "An empirical analysis of the volume-volatility nexus in crude oil markets under structural breaks: Implications for forecasting," International Review of Economics & Finance, Elsevier, vol. 94(C).
• He, Mengxi & Wen, Danyan & Xing, Lu & Zhang, Yaojie, 2024. "Industry volatility concentration and the predictability of aggregate stock market volatility," International Review of Economics & Finance, Elsevier, vol. 95(C).
• Liu, Qiming & Liu, Zhenya & Moussa, Faten & Mu, Yuhao, 2024. "International capital flow in a period of high inflation: The case of China," Research in International Business and Finance, Elsevier, vol. 67(PB).
• Hoque, Ariful & Le, Thi & Hasan, Morshadul & Abedin, Mohammad Zoynul, 2024. "Does market efficiency matter for Shanghai 50 ETF index options?," Research in International Business and Finance, Elsevier, vol. 67(PB).
• Esparcia, Carlos & López, Raquel, 2024. "Performance of crypto-Forex portfolios based on intraday data," Research in International Business and Finance, Elsevier, vol. 69(C).
• Pan, Zhigang & Bai, Zhihong & Xing, Xiaochao & Wang, Zhufeng, 2024. "US inflation and global commodity prices: Asymmetric interdependence," Research in International Business and Finance, Elsevier, vol. 69(C).
• Xing, Jin & Chi, Guotai & Pan, Ancheng, 2024. "Instance-dependent misclassification cost-sensitive learning for default prediction," Research in International Business and Finance, Elsevier, vol. 69(C).
• Yang, Jinyu & Xia, Guoen & Dong, Dayong, 2024. "Placebo in the random walk of stock price: Momentum effect of corporate site visits," Research in International Business and Finance, Elsevier, vol. 70(PB).
• Ahmed, Mohamed Shaker & El-Masry, Ahmed A. & Al-Maghyereh, Aktham I. & Kumar, Satish, 2024. "Cryptocurrency volatility: A review, synthesis, and research agenda," Research in International Business and Finance, Elsevier, vol. 71(C).
• Wang, Jingya & Taylor, Alex P., 2024. "Predicting consumption-wealth ratio changes and stock market returns," Research in International Business and Finance, Elsevier, vol. 71(C).
• Anwer, Zaheer & Khan, Muhammad Arif & Hassan, M. Kabir & Singh, Manjeet Kaur Harnek, 2024. "Assessing dynamic co-movement of news based uncertainty indices and distance-to -default of global FinTech firms," Research in International Business and Finance, Elsevier, vol. 71(C).
• Esparcia, Carlos & Díaz, Antonio, 2024. "The football world upside down: Traditional equities as an alternative for the new fan tokens? A portfolio optimization study," Research in International Business and Finance, Elsevier, vol. 71(C).
• Brum-Civelli, Conrado & Fried-Gindel, Alejandro & Garcia-Hiernaux, Alfredo, 2024. "IFCI-SA: International financial conditions index for South American economies," Research in International Business and Finance, Elsevier, vol. 72(PA).
• Fu, Fanjie & Fang, Jing & Yang, Mei & Yao, Shujie, 2024. "Institutional investor horizons and stock price crash risk," Research in International Business and Finance, Elsevier, vol. 72(PA).
• Galbraith, James K., 2024. "La medicina medieval de la economía ortodoxa contra la inflación," El Trimestre Económico, Fondo de Cultura Económica, vol. 91(362), pages 409-414, abril-jun.
• Stiglitz, Joseph E., 2024. "Neoliberalismo, economía keynesiana y la respuesta a la inflación actual," El Trimestre Económico, Fondo de Cultura Económica, vol. 91(363), pages 707-749, julio-sep.
• Ziwen Gao & Steven F. Lehrer & Tian Xie & Xinyu Zhang, 2024. "Averaging Heterogeneous Autoregression Models with Heteroskedastic Errors: Theory and an Application to Cryptocurrency Volatility Forecasting," Advances in Econometrics, in: Essays in Honor of Subal Kumbhakar, volume 46, pages 99-131, Emerald Group Publishing Limited.
• Stiven Agusta & Fuad Rakhman & Jogiyanto Hartono Mustakini & Singgih Wijayana, 2024. "Enhancing the accuracy of stock return movement prediction in Indonesia through recent fundamental value incorporation in multilayer perceptron," Asian Journal of Accounting Research, Emerald Group Publishing Limited, vol. 9(4), pages 358-377, July.
• Amritkant Mishra & Ajit Kumar Dash, 2024. "Return volatility of Asian stock exchanges; a GARCH DCC analysis with reference of Bitcoin and global crude oil price movement," Journal of Chinese Economic and Foreign Trade Studies, Emerald Group Publishing Limited, vol. 17(1), pages 29-48, May.
• Trung Hai Le, 2024. "Forecasting value-at-risk and expected shortfall in emerging market: does forecast combination help?," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 25(1), pages 160-177, January.
• Demetri Tsanacas, 2024. "Extreme Weather Patterns and Risk Assessment Strategies in the Banking Industry: A Survey," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 14(1), pages 3-11.
• Jens H. E. Christensen & Mark M. Spiegel, 2024. "Inflation Expectations, Liquidity Premia and Global Spillovers in Japanese Bond Markets," Working Paper Series 2024-12, Federal Reserve Bank of San Francisco.
• Nicoleta Valentina Florea & Gabriel Croitoru & Georgiana Radu (Cârstea) & Daria Florea, 2024. "The Analysis of the Impact of Digital Product Innovation and Human Resources Specialists on Intention to Use Artificial Intelligence in Financial Banking System," Journal of Financial Studies, Institute of Financial Studies, vol. 16(9), pages 96-110, May.
• Dean Fantazzini, 2024. "Adaptive Conformal Inference for Computing Market Risk Measures: An Analysis with Four Thousand Crypto-Assets," JRFM, MDPI, vol. 17(6), pages 1-44, June.
  • Fantazzini, Dean, 2024. "Adaptive Conformal Inference for computing Market Risk Measures: an Analysis with Four Thousands Crypto-Assets," MPRA Paper 121214, University Library of Munich, Germany.
• Diego Alejandro Martínez Cruz & Philip Rory Symington Alzate, 2024. "Robust Assessment of External Vulnerabilities in an Emerging Market During Stress Scenarios," IHEID Working Papers 15-2024, Economics Section, The Graduate Institute of International Studies.
• Virginie Terraza & Aslı Boru İpek & Mohammad Mahdi Rounaghi, 2024. "The nexus between the volatility of Bitcoin, gold, and American stock markets during the COVID-19 pandemic: evidence from VAR-DCC-EGARCH and ANN models," Post-Print hal-04395168, HAL.
• Karlsson, Sune & Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2024. "US Interest Rates: Are Relations Stable?," Working Papers 2024:3, Örebro University, School of Business.
• Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang & Österholm, Pär, 2024. "VAR Models with Fat Tails and Dynamic Asymmetry," Working Papers 2024:8, Örebro University, School of Business.
• Jukonis, Audrius & Letizia, Elisa & Rousová, Linda, 2022. "The impact of derivatives collateralisation on liquidity risk: evidence from the investment fund sector," Working Paper Series 2756, European Central Bank.
  • Audrius Jukonis & Elisa Letizia & Linda Rousova, 2024. "The Impact of Derivatives Collateralization on Liquidity Risk: Evidence from the Investment Fund Sector," IMF Working Papers 2024/026, International Monetary Fund.
• Yi-Hao Lai & Yi-Chiuan Wang & Yu-Ching Chang, 2024. "Forecasting Trading-Session Return Volatility in Taiwan Futures Market: A Periodic Regime Switching with Jump Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(2), pages 285-305, June.
• Subhash Karmakar & Gautam Bandyopadhyay & Jayanta Nath Mukhopadhyay, 2024. "Systemic Risk in Indian Financial Institutions: A Probabilistic Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(3), pages 579-656, September.
• Rama K. Malladi, 2024. "Application of Supervised Machine Learning Techniques to Forecast the COVID-19 U.S. Recession and Stock Market Crash," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 1021-1045, March.
• Xiaolong Tang & Yuping Song & Xingrui Jiao & Yankun Sun, 2024. "On Forecasting Realized Volatility for Bitcoin Based on Deep Learning PSO–GRU Model," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 2011-2033, May.
• Mehmet Sahiner, 2024. "Volatility Spillovers and Contagion During Major Crises: An Early Warning Approach Based on a Deep Learning Model," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2435-2499, June.
• Efstathios Polyzos & Costas Siriopoulos, 2024. "Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 225-262, July.
• Hayden Brown, 2024. "Long-term returns estimation of leveraged indexes and ETFs," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 38(2), pages 165-190, June.
• Andrea Rigamonti, 2024. "Can machine learning make technical analysis work?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 38(3), pages 399-412, September.
• Rilwan Sakariyahu & Audrey Paterson & Eleni Chatzivgeri & Rodiat Lawal, 2024. "Chasing noise in the stock market: an inquiry into the dynamics of investor sentiment and asset pricing," Review of Quantitative Finance and Accounting, Springer, vol. 62(1), pages 135-169, January.
• Cullen F. Goenner, 2024. "Robust lessons learned from bank failures during the Great Financial Crisis," Review of Quantitative Finance and Accounting, Springer, vol. 62(2), pages 449-498, February.
• Paul B. McGuinness, 2024. "Research note: An investigation of the relation between pre-IPO dividends and vendor sales," Review of Quantitative Finance and Accounting, Springer, vol. 62(3), pages 889-910, April.
• Weihao Han & David Newton & Emmanouil Platanakis & Haoran Wu & Libo Xiao, 2024. "The diversification benefits of cryptocurrency factor portfolios: Are they there?," Review of Quantitative Finance and Accounting, Springer, vol. 63(2), pages 469-518, August.
• Chuxuan Xiao & Winifred Huang & David P. Newton, 2024. "Predicting expected idiosyncratic volatility: Empirical evidence from ARFIMA, HAR, and EGARCH models," Review of Quantitative Finance and Accounting, Springer, vol. 63(3), pages 979-1006, October.
• Nikunj Patel & Aakruti Patel & Bhavesh Patel, 2024. "The Role of Institutional Investors in The Indian Stock Markets During the Pandemic," Capital Markets Review, Malaysian Finance Association, vol. 32(1), pages 75-99.
• Attila Zoltan Nagy, 2024. "Market Timing Investment Methods on the Budapest Stock Exchange," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 23(2), pages 105-130.
• Jonathan Ross & David Ziebart, 2024. "The Accounting Rate of Return and Economic Growth," Journal of Economic Insight, Missouri Valley Economic Association, vol. 50(1), pages 87-111.
• Tomasz Piotr Kostyra, 2024. "Forecasting the yield curve for Poland with the PCA and machine learning," Bank i Kredyt, Narodowy Bank Polski, vol. 55(4), pages 459-478.
• Jules H. van Binsbergen & Svetlana Bryzgalova & Mayukh Mukhopadhyay & Varun Sharma, 2024. "(Almost) 200 Years of News-Based Economic Sentiment," NBER Working Papers 32026, National Bureau of Economic Research, Inc.
• William N. Goetzmann & Akiko Watanabe & Masahiro Watanabe, 2024. "Procyclical Stocks Earn Higher Returns," NBER Working Papers 32509, National Bureau of Economic Research, Inc.
• Antoine Didisheim & Shikun (Barry) Ke & Bryan T. Kelly & Semyon Malamud, 2024. "APT or “AIPT”? The Surprising Dominance of Large Factor Models," NBER Working Papers 33012, National Bureau of Economic Research, Inc.
• Ruslan Goyenko & Bryan T. Kelly & Tobias J. Moskowitz & Yinan Su & Chao Zhang, 2024. "Trading Volume Alpha," NBER Working Papers 33037, National Bureau of Economic Research, Inc.
• Ke-Li Xu & Junjie Guo, 2024. "A New Test for Multiple Predictive Regression," Journal of Financial Econometrics, Oxford University Press, vol. 22(1), pages 119-156.
• Chao Zhang & Yihuang Zhang & Mihai Cucuringu & Zhongmin Qian, 2024. "Volatility Forecasting with Machine Learning and Intraday Commonality," Journal of Financial Econometrics, Oxford University Press, vol. 22(2), pages 492-530.
• Ilias Chronopoulos & Aristeidis Raftapostolos & George Kapetanios, 2024. "Forecasting Value-at-Risk Using Deep Neural Network Quantile Regression," Journal of Financial Econometrics, Oxford University Press, vol. 22(3), pages 636-669.
  • Chronopoulos, Ilias & Raftapostolos, Aristeidis & Kapetanios, George, 2023. "Forecasting Value-at-Risk using deep neural network quantile regression," Essex Finance Centre Working Papers 34837, University of Essex, Essex Business School.
• Tae-Hwy Lee & Ekaterina Seregina, 2024. "Optimal Portfolio Using Factor Graphical Lasso," Journal of Financial Econometrics, Oxford University Press, vol. 22(3), pages 670-695.
  • Tae-Hwy Lee & Ekaterina Seregina, 2020. "Optimal Portfolio Using Factor Graphical Lasso," Papers 2011.00435, arXiv.org, revised Apr 2023.
  • Tae-Hwy Lee & Ekaterina Seregina, 2023. "Optimal Portfolio Using Factor Graphical Lasso," Working Papers 202302, University of California at Riverside, Department of Economics.
  • Tae-Hwy Lee & Ekaterina Seregina, 2020. "Optimal Portfolio Using Factor Graphical Lasso," Working Papers 202025, University of California at Riverside, Department of Economics.
• Tim de Silva & David Thesmar, 2024. "Noise in Expectations: Evidence from Analyst Forecasts," The Review of Financial Studies, Society for Financial Studies, vol. 37(5), pages 1494-1537.

2023

• Hyeongwoo Kim & Jisoo Son, 2023. "Forecasting Net Charge-Off Rates of Large U.S. Bank Holding Companies using Macroeconomic Latent Factors," Auburn Economics Working Paper Series auwp2023-02, Department of Economics, Auburn University.
• Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2023. "Superior Predictability of American Factors of the Dollar/Won Real Exchange Rate," Auburn Economics Working Paper Series auwp2023-05, Department of Economics, Auburn University.
• Kim, Hyeongwoo & Son, Jisoo, 2023. "What Charge-Off Rates Are Predictable by Macroeconomic Latent Factors?," MPRA Paper 116880, University Library of Munich, Germany.
  • Hyeongwoo Kim & Jisoo Son, 2024. "What Charge-Off Rates Are Predictable by Macroeconomic Latent Factors?," Auburn Economics Working Paper Series auwp2024-01, Department of Economics, Auburn University.
  • Hyeongwoo Kim & Jisoo Son, 2023. "What Charge-Off Rates Are Predictable by Macroeconomic Latent Factors?," Auburn Economics Working Paper Series auwp2023-06, Department of Economics, Auburn University.
• Bogdan Cosmin GOMOI, 2023. "Dynamic Diagnosis of the Financial Performances of a Company in the HoReCa Sector, Between Resilience and Sustainability," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(10), pages 23-32, October.
• Adi GUNANTO, 2023. "Mitigating Financial Distress: Analysis of Financial Indicators for Startup Companies in Indonesia," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(10), pages 49-59, October.
• Bogdan Cosmin GOMOI, 2023. "Methods of Financial Diagnosis Applicable in the Transport Area. A Vision of a Resilient and Sustainable Activity," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(11), pages 19-30, November.
• Dorina PLESCACI, 2023. "Entities Assessment Methods Based on the Notion of Goodwill," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(1), pages 10-18, January.
• Corina-Graziella BÂTCĂ-DUMITRU & Daniela-Nicoleta SAHLIAN & Cleopatra ȘENDROIU, 2023. "Cost of the Products’ Life Cycle," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(3), pages 25-33, March.
• Bogdan Cosmin GOMOI, 2023. "Analysis of Results and Adjacent Structures in the Industry of Cosmetic and Perfumery Products," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(3), pages 34-45, March.
• Bogdan Cosmin GOMOI, 2023. "Analysis of the Main Financial Indicators Related to a Company in the Rolling Stock Industry," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(4), pages 39-50, April.
• Bogdan Cosmin GOMOI, 2023. "Analysis of the Structure, Reliability, Financial Balance and Indebtedness Related to a Company in the Transport Sector," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(5), pages 35-47, May.
• Elena Valentina ȚILICĂ & Radu CIOBANU, 2023. "Assessment Approaches: The Income Approach (II)," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(6), pages 30-36, June.
  • Elena Valentina ȚILICĂ & Radu CIOBANU, 2023. "Assessment Approaches: The Income Approach (I)," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(5), pages 48-55, May.
• Bogdan Cosmin GOMOI, 2023. "Dynamic Diagnosis of a Company’s Financial Position from the Hospitality Industry," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(6), pages 19-29, June.
• Elena Valentina ȚILICĂ & Radu CIOBANU, 2023. "Assessment Approaches: The Income Approach (I)," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(5), pages 48-55, May.
  • Elena Valentina ȚILICĂ & Radu CIOBANU, 2023. "Assessment Approaches: The Income Approach (II)," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(6), pages 30-36, June.
• Bogdan Cosmin GOMOI, 2023. "Analysis of the Static and Dynamic Financial Balance at the Level of Economic Operators," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(8), pages 6-15, August.
• Elena Valentina ȚILICĂ & Radu CIOBANU, 2023. "Shares – General Concepts and Assessment," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(9), pages 20-30, September.
• Harshit GURANI, 2023. "Predicting Stock Performance in Indian Mid-Cap and Small-Cap Firms: An Exploration of Financial Ratios Through Logistic Regression Analysis," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(9), pages 56-63, September.
• Bogdan Cosmin GOMOI, 2023. "Funding Strategies at the Level of an Entity," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(9), pages 8-19, September.
• Ömer Serkan Gülal & Gökhan Seçme & Eda Köse, 2023. "Predicting Financial Distress in the BIST Industrials Index: Evaluating Traditional Models and Clustering Techniques," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 8(4), pages 660-680.
• António Portugal Duarte & Fátima Sol Murta & Nuno Baetas da Silva & Beatriz Rodrigues Vieira, 2023. "Flip the Coin: Heads, Tails or Cryptocurrencies?," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 70(SI), pages 1-18, February.
  • António Portugal Duarte & Fátima Sol & Nuno Baetas da Silva & Beatriz Rodrigues Vieira, 2023. "Flip the coin: Heads, tails or cryptocurrencies?," CeBER Working Papers 2023-02, Centre for Business and Economics Research (CeBER), University of Coimbra.
• Algieri, Bernardina & Iania, Leonardo & Leccadito, Arturo & Meloni, Giulia, 2024. "Message in a bottle: Forecasting wine prices," Journal of Wine Economics, Cambridge University Press, vol. 19(1), pages 64-91, February.
  • Algieri, Bernardina & Iania, Leonardo & Leccadito, Arturo & Meloni, Giulia, 2023. "Message in a Bottle: Forecasting wine prices," LIDAM Discussion Papers LFIN 2023004, Université catholique de Louvain, Louvain Finance (LFIN).
• Farmer, J. Doyne & Wiersema, Garbrand & Kemp, Esti, 2023. "Liquidity Spirals," INET Oxford Working Papers 2023-16, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
• Bartłomiej Lisicki, 2023. "Sektorowe zróżnicowanie efektu interwału akcji spółek z GPW w dobie pandemii COVID-19," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 2, pages 174-194.
• Dainelli, Francesco & Bet, Gianmarco & Fabrizi, Eugenio, 2024. "The financial health of a company and the risk of its default: Back to the future," International Review of Financial Analysis, Elsevier, vol. 95(PB).
  • Gianmarco Bet & Francesco Dainelli & Eugenio Fabrizi, 2023. "The financial health of a company and the risk of its default: Back to the future," Papers 2302.10140, arXiv.org.
• Olkhov, Victor, 2023. "Economic complexity limits accuracy of price probability predictions by gaussian distributions," MPRA Paper 118373, University Library of Munich, Germany.
  • Victor Olkhov, 2023. "Economic Complexity Limits Accuracy of Price Probability Predictions by Gaussian Distributions," Papers 2309.02447, arXiv.org, revised Apr 2024.
• Victor Olkhov, 2023. "Theoretical Economics as Successive Approximations of Statistical Moments," Papers 2310.05971, arXiv.org, revised Apr 2024.
• Darab Molkabadi, Saeid, 2023. "Transition and Propagations of Oil Shock in the Oil Exporting Countries: Lessons from Iran (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی Ùˆ بودجه), Institute for Management and Planning studies, vol. 28(4), pages 111-139, December.
• Silvija Vlah Jeric, 2023. "Analysis Of The Financial Performance Of Machine Learning Models For Predicting The Direction Of Changes In Cee And See Stock Market Indices With Different Classification Evaluation Metrics," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 32(2), pages 533-545, december.
• Afees Salisu & Tirimisiyu Oloko, 2023. "Climate Risk Measures - A Review," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 4(1), pages 1-4.
• Afees Salisu & Philip Omoke & Olalekan Fadiya, 2023. "Climate Policy Uncertainty and Crude Oil Market Volatility," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 4(1), pages 1-5.
• Kazeem Isah & Adedapo Odebode & Oluwafemi Ogunjemilua, 2023. "Does Climate Risk Amplify Oil Market Volatility?," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 4(2), pages 1-5.
• Vladimir Belkin, 2023. "US Federal Reserve Rate and Solar Activity (1955-2022): Proof of Strong Correlations," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 220-229.
• Chinara Azizova & Bruno Feunou & James Kyeong, 2023. "Forecasting Risks to the Canadian Economic Outlook at a Daily Frequency," Discussion Papers 2023-19, Bank of Canada.
• Bruno Feunou & James Kyeong, 2023. "Finding the balance—measuring risks to inflation and to GDP growth," Staff Analytical Notes 2023-18, Bank of Canada.
• Onder BUBERKOKU, 2023. "Market Risk Measurement in the Context of Basel IV Regulations," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 17(1), pages 1-38.
• Sergio Mayordomo & Irene Roibás, 2023. "La traslación de los tipos de interés de mercado a los tipos de interés bancarios," Occasional Papers 2312, Banco de España.
• Sergio Mayordomo & Irene Roibás, 2023. "The pass-through of market interest rates to bank interest rates," Occasional Papers 2312, Banco de España.
• Melo-Velandia, Luis Fernando & Romero-Chamorro, José Vicente & Ramírez-González, Mahicol Stiben, 2023. "The Global Financial Cycle and Country Risk in Emerging Markets During Stress Episodes: A Copula-CoVaR Approach," Working papers 105, Red Investigadores de Economía.
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• António Portugal Duarte & Fátima Sol Murta & Nuno Baetas da Silva & Beatriz Rodrigues Vieira, 2023. "Flip the Coin: Heads, Tails or Cryptocurrencies?," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 70(SI), pages 1-18, February.
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• Alexakis, Christos & Chantziaras, Antonios & Economou, Fotini & Eleftheriou, Konstantinos & Grose, Christos, 2023. "Animal Behavior in Capital markets: Herding formation dynamics, trading volume, and the role of COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
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• Lamia Haouam, 2023. "The Role of Modern Models in Predicting Financial Failure of Economic Institutions: An Empirical Study on Saidal group for the Period (2017-2020)," Post-Print hal-04183444, HAL.
• Bing Xiao, 2023. "The Size Effect and the Value Effect in the American Stock Market," Post-Print hal-04194510, HAL.
• Rad, Hossein & Low, Rand Kwong Yew & Miffre, Joëlle & Faff, Robert, 2023. "The commodity risk premium and neural networks," Journal of Empirical Finance, Elsevier, vol. 74(C).
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• Bakalli, Gaetan & Guerrier, Stéphane & Scaillet, Olivier, 2023. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Journal of Econometrics, Elsevier, vol. 237(2).
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• Akhtaruzzaman, Md & Banerjee, Ameet Kumar & Boubaker, Sabri & Moussa, Faten, 2023. "Does green improve portfolio optimisation?," Energy Economics, Elsevier, vol. 124(C).
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• Nariman Djoudi & Kheira Belhamri, 2023. "Prediction of Financial Failure Using the Altman and Sherrod Model Study of Saidal Institution of Medea Province between 2017 - 2020," Post-Print halshs-04521389, HAL.
• Yannick Malevergne & Didier Sornette & Ran Wei, 2021. "A model of financial bubbles and drawdowns with non-local behavioral self-referencing," Swiss Finance Institute Research Paper Series 21-96, Swiss Finance Institute.
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• Manuel Benazić & Gordana Kordić, 2023. "Modeliranje I Prognoziranje Volatilnosti Sektorskih Indeksa Zagrebačke Burze: Multivarijatni Garch Model," Ekonomski pregled, Hrvatsko društvo ekonomista (Croatian Society of Economists), vol. 74(5), pages 663-700.
• Axelsson, Birger & Song, Han-Suck, 2023. "Univariate Forecasting for REITs with Deep Learning: A Comparative Analysis with an ARIMA Model," Working Paper Series 23/10, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance, revised 14 Nov 2023.
• Kiss, Tamás & Kladívko, Kamil & Silfverberg, Oliwer & Österholm, Pär, 2023. "Market participants or the random walk – who forecasts better? Evidence from micro-level survey data," Finance Research Letters, Elsevier, vol. 54(C).
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• Artem Aganin & Vyacheslav Manevich & Anatoly Peresetsky & Polina Pogorelova, 2023. "Comparison of Cryptocurrency and Stock Market Volatility Forecast Models," HSE Economic Journal, National Research University Higher School of Economics, vol. 27(1), pages 49-77.
• Artem Potapov & Marat Kurbangaleev, 2023. "Comparison of Central Counterparty Risk Assessment Approaches," HSE Economic Journal, National Research University Higher School of Economics, vol. 27(2), pages 196-219.
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• Wen-Chuan Miao & Hsiou-Wei Lin, 2023. "Return On Equity Estimates And Fourquadrant Square Position: Evidence From Taiwan," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 17(1), pages 1-16.
• Terrance Jalbert & Jonathan D. Stewart, 2023. "A Comprehensive Retirement Financial Planning Tool Una Herramienta Integral De Planificacion Financiera Para La Jubilacion," Revista Global de Negocios, The Institute for Business and Finance Research, vol. 14(1), pages 13-44.
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• Terrance Jalbert & Jonathan D. Stewart, 2023. "A Comprehensive Retirement Financial Planning Tool Una Herramienta Integral De Planificacion Financiera Para La Jubilacion," Revista Global de Negocios, The Institute for Business and Finance Research, vol. 11(1), pages 13-44.
  • Terrance Jalbert & Jonathan D. Stewart, 2023. "A Comprehensive Retirement Financial Planning Tool Una Herramienta Integral De Planificacion Financiera Para La Jubilacion," Revista Global de Negocios, The Institute for Business and Finance Research, vol. 14(1), pages 13-44.
• Oguzhan Cepni & Ahmet Faruk Aysan, 2023. "Coin Specific Sentiments Matter For The Nonfungible Tokens Spillovers: How And When?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 26(4), pages 637-658, November.
• Gerardo Estrada Sánchez & Federico Hernández Álvarez & Andrés Giovanni Camacho Ardila, 2023. "Detección de periodos de crisis del NASDAQ con EEMD -AE," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 18(1), pages 1-26, Enero - M.
• Guillermo Sierra Juárez, 2023. "Prima para la cobertura por exceso de contagios de COVID-19," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 18(2), pages 1-17, Abril - J.
• Pascal Kieren & Christian König-Kersting & Robert Schmidt & Stefan Trautmann & Franziska Heinicke, 2023. "First-Order and Higher-Order Inflation Expectations: Evidence about Households and Firms," Working Papers 2023-10, Faculty of Economics and Statistics, Universität Innsbruck.
• Joana Passinhas & Ana Pereira, 2023. "A macroprudential look into the risk-return framework of banks’ profitability," Working Papers REM 2023/0265, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Diego Víctor de Mingo-López & Juan Carlos Matallín-Sáez & Amparo Soler-Domínguez & Huseyin Ozturk & Emili Tortosa-Ausina, 2023. "Persistence versus mobility of sociallyresponsible funds: intra-distribution dynamics and mobility trends," Working Papers 2023/09, Economics Department, Universitat Jaume I, Castellón (Spain).
• Brückbauer Frank & Schröder Michael, 2023. "The ZEW Financial Market Survey Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(3-4), pages 451-469, June.
• Giulio Bottazzi & Francesco Cordoni & Giulia Livieri & Stefano Marmi, 2023. "Uncertainty in firm valuation and a cross-sectional misvaluation measure," Annals of Finance, Springer, vol. 19(1), pages 63-93, March.
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• Mario Eboli & Bulent Ozel & Andrea Teglio & Andrea Toto, 2023. "Connectivity, centralisation and ‘robustness-yet-fragility’ of interbank networks," Annals of Finance, Springer, vol. 19(2), pages 169-200, June.
• Wolfgang Schadner & Sebastian Lang, 2023. "The value of expected return persistence," Annals of Finance, Springer, vol. 19(4), pages 449-476, December.
• Paolo Massimo Buscema & Francesca Della Torre & Giulia Massini & Guido Ferilli & Pier Luigi Sacco, 2023. "Reconstructing the Emergent Organization of Information Flows in International Stock Markets: A Computational Complex Systems Approach," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 49-89, June.
• Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2023. "A Hybrid ARFIMA Wavelet Artificial Neural Network Model for DJIA Index Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1801-1843, December.
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• Bhaskar Tripathi & Rakesh Kumar Sharma, 2023. "Modeling Bitcoin Prices using Signal Processing Methods, Bayesian Optimization, and Deep Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1919-1945, December.
• Aleksei Chernulich & John Horowitz & Jean Paul Rabanal & Olga Rud & Manizha Sharifova, 2023. "Entry and exit decisions under public and private information: an experiment," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 339-356, April.
• Marco Di Francesco & Roberta Simonella, 2023. "A stochastic Asset Liability Management model for life insurance companies," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(1), pages 61-94, March.
• Nataliya Barasinska & Philipp Haenle & Anne Koban & Alexander Schmidt, 2023. "No Reason to Worry About German Mortgages? An Analysis of Macroeconomic and Individual Drivers of Credit Risk," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(3), pages 369-399, December.
• Maxim Ulrich & Lukas Zimmer & Constantin Merbecks, 2023. "Implied volatility surfaces: a comprehensive analysis using half a billion option prices," Review of Derivatives Research, Springer, vol. 26(2), pages 135-169, October.
• Zuobao Wei & Yicheng Zhu, 2023. "Does religiosity improve analyst forecast accuracy?," Review of Quantitative Finance and Accounting, Springer, vol. 60(3), pages 915-948, April.
• Alena Audzeyeva & Xu Wang, 2023. "Fundamentals, real-time uncertainty and CDS index spreads," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 1-33, July.
• Frank J. Fabozzi & Francesco A. Fabozzi & Diana Tunaru, 2023. "A comparison of multi-factor term structure models for interbank rates," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 323-356, July.
• Dimitrios Koutmos & Wang Chun Wei, 2023. "Nowcasting bitcoin’s crash risk with order imbalance," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 125-154, July.
• Mu-Shu Yun & Lee-Young Cheng & Yan Zhao, 2023. "Customer concentration and target price accuracy," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 995-1028, October.
• Timár, Barnabás, 2023. "A klímavédelmi események hatása a köztudatra és a tőkepiacra. Empirikus vizsgálat Google-trends- és ETF-adatokon [The impact of climate events on public perception and capital markets. An empirical," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 713-745.
• Márkus, Martin, 2023. "A társadalmi felelősségi pontszámok és a működési kockázat kapcsolata kockázati kategóriák szerint [The relationship between the ESG score and operational risk in different risk categories]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 746-771.
• Marcell Peter Granat & Gabor Neszveda & Dorottya Szabo, 2023. "An Empirical Analysis of the Predictive Power of European Yield Curves," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 22(3), pages 48-66.
• Csaba Burger & Dariusz Wojcik, 2023. "The Geography of Climate Change Risk Analysis at Central Banks in Europe," MNB Occasional Papers 2023/150, Magyar Nemzeti Bank (Central Bank of Hungary).
• Viola Monostoriné Grolmusz, 2023. "Recovering Stock Analysts’ Loss Functions from Buy/Sell Recommendations," MNB Working Papers 2023/4, Magyar Nemzeti Bank (Central Bank of Hungary).
• Lina Song & Amirul Shah Md Shahbudin, 2023. "To anticipate the bankruptcy of Baoshang Bank based on CAMELS rating system," Bank i Kredyt, Narodowy Bank Polski, vol. 54(1), pages 65-88.
• Magdalena Kozińska, 2023. "Zarządzanie kryzysowe w sektorze ubezpieczeniowym – o upadłości i resolution ubezpieczycieli w Polsce," Bank i Kredyt, Narodowy Bank Polski, vol. 54(6), pages 673-696.
• Bryan T. Kelly & Dacheng Xiu, 2023. "Financial Machine Learning," NBER Working Papers 31502, National Bureau of Economic Research, Inc.
• Turan G. Bali & Bryan T. Kelly & Mathis Mörke & Jamil Rahman, 2023. "Machine Forecast Disagreement," NBER Working Papers 31583, National Bureau of Economic Research, Inc.
• Mihir Gandhi & Niels Joachim Gormsen & Eben Lazarus, 2023. "Forward Return Expectations," NBER Working Papers 31687, National Bureau of Economic Research, Inc.
• Antoine Didisheim & Shikun (Barry) Ke & Bryan T. Kelly & Semyon Malamud, 2023. "Complexity in Factor Pricing Models," NBER Working Papers 31689, National Bureau of Economic Research, Inc.
• Qihui Chen & Nikolai Roussanov & Xiaoliang Wang, 2021. "Semiparametric Conditional Factor Models: Estimation and Inference," Papers 2112.07121, arXiv.org, revised Sep 2023.
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• Anusha Chari & Karlye Dilts Stedman & Christian Lundblad, 2023. "Risk-On Risk-Off: A Multifaceted Approach to Measuring Global Investor Risk Aversion," NBER Working Papers 31907, National Bureau of Economic Research, Inc.
• Bryan T. Kelly & Semyon Malamud & Mohammad Pourmohammadi & Fabio Trojani, 2023. "Universal Portfolio Shrinkage," NBER Working Papers 32004, National Bureau of Economic Research, Inc.
• Russell P. Robins & Geoffrey Peter Smith, 2023. "A New Look at Expected Stock Returns and Volatility," Critical Finance Review, now publishers, vol. 12(1-4), pages 225-270, August.
• Hans Lööf & Maziar Sahamkhadam & Andreas Stephan, 2023. "Incorporating ESG into Optimal Stock Portfolios for the Global Timber & Forestry Industry," Journal of Forest Economics, now publishers, vol. 38(2), pages 133-157, June.
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• Andrew Urquhart & Pengfei Wang, 2023. "No Cryptocurrency Experience Required: Managerial Characteristics in Cryptocurrency Fund Performance," Review of Corporate Finance, now publishers, vol. 3(4), pages 529-569, September.
• Huixing Jin, 2023. "Analysis of the Time Series Characteristics of Intraday Momentum on the Tokyo Stock Exchange," Discussion Papers in Economics and Business 23-11, Osaka University, Graduate School of Economics.
• Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023. "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models," Journal of Financial Econometrics, Oxford University Press, vol. 21(1), pages 1-72.
• Dillon Huddleston & Fred Liu & Lars Stentoft, 2023. "Intraday Market Predictability: A Machine Learning Approach," Journal of Financial Econometrics, Oxford University Press, vol. 21(2), pages 485-527.
• Sander Barendse & Erik Kole & Dick van Dijk, 2023. "Backtesting Value-at-Risk and Expected Shortfall in the Presence of Estimation Error," Journal of Financial Econometrics, Oxford University Press, vol. 21(2), pages 528-568.
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• Razvan Pascalau & Ryan Poirier, 2023. "Increasing the information content of realized volatility forecasts," Journal of Financial Econometrics, Oxford University Press, vol. 21(4), pages 1064-1098.
• Nick Taylor, 2023. "The Determinants of Volatility Timing Performance," Journal of Financial Econometrics, Oxford University Press, vol. 21(4), pages 1228-1257.
• Tolga Cenesizoglu & Denada Ibrushi, 2023. "Time Variation in Cash Flows and Discount Rates," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1557-1589.
• Arseny Gorbenko & Marcin Kacperczyk, 2023. "Short Interest and Aggregate Stock Returns: International Evidence," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 13(4), pages 691-733.
• Thomas A Maurer & Thuy-Duong Tô & Ngoc-Khanh Tran, 2023. "Market Timing and Predictability in FX Markets," Review of Finance, European Finance Association, vol. 27(1), pages 223-246.
• Adam Farago & Erik Hjalmarsson, 2023. "Long-Horizon Stock Returns Are Positively Skewed," Review of Finance, European Finance Association, vol. 27(2), pages 495-538.
• Bernard Dumas & Marcel Savioz, 2023. "A Theory of the Nominal Character of Stock Securities," Review of Finance, European Finance Association, vol. 27(5), pages 1615-1657.
• Gregory W & Eric Ghysels & Oleg R Gredil & Stijn Van, 2023. "Nowcasting Net Asset Values: The Case of Private Equity," The Review of Financial Studies, Society for Financial Studies, vol. 36(3), pages 945-986.
• Sinan Gokkaya & Xi Liu & Veronika Krepely & Fei Xie & Jinfan Zhang & Lauren Cohen, 2023. "Is There Investment Value in the Soft-Dollar Arrangement? Evidence from Mutual Funds," The Review of Financial Studies, Society for Financial Studies, vol. 36(8), pages 3122-3162.
• Pelin Bengitöz & Mehmet Umutlu, 2023. "Are return predictors of industrial equity indexes common across regions?," Journal of Asset Management, Palgrave Macmillan, vol. 24(5), pages 396-418, September.
• Damilola Oyetade & Adefemi A. Obalade & Paul-Francois Muzindutsi, 2023. "Basel IV capital requirements and the performance of commercial banks in Africa," Journal of Banking Regulation, Palgrave Macmillan, vol. 24(1), pages 1-14, March.
• Katarina Valaskova & Dominika Gajdosikova & Jaroslav Belas, 2023. "Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 253-293, March.
• Vancsura, László & Bareith, Tibor, 2023. "Analysis of the performance of predictive models during Covid-19 and the Russian-Ukrainian war," Public Finance Quarterly, Corvinus University of Budapest, vol. 69(2), pages 118-132.
• Szántó, Tünde Katalin, 2023. "Handling outliers in bankruptcy prediction models based on logistic regression," Public Finance Quarterly, Corvinus University of Budapest, vol. 69(3), pages 89-103.
• Bukvić, Rajko & Pavlović, Radica, 2023. "The Cash Flow Concept in Modern Financial Analysis of Internal Sources of Companies’ Investment Financing," MPRA Paper 116053, University Library of Munich, Germany.
• Fang, Yi & Niu, Hui & Lin, Yuen, 2023. "Ex-ante Valuation based on Prospect Theory," MPRA Paper 116386, University Library of Munich, Germany.
• Kishor, N. Kundan, 2023. "Forecasting House Prices: The Role of Fundamentals, Credit Conditions, and Supply Indicators," MPRA Paper 116819, University Library of Munich, Germany.
• Fantazzini, Dean, 2023. "Assessing the Credit Risk of Crypto-Assets Using Daily Range Volatility Models," MPRA Paper 117141, University Library of Munich, Germany.
• Victor Olkhov, 2023. "Economic Complexity Limits Accuracy of Price Probability Predictions by Gaussian Distributions," Papers 2309.02447, arXiv.org, revised Apr 2024.
  • Olkhov, Victor, 2023. "Economic complexity limits accuracy of price probability predictions by gaussian distributions," MPRA Paper 118373, University Library of Munich, Germany.
• Dean Fantazzini & Yufeng Xiao, 2023. "Detecting Pump-and-Dumps with Crypto-Assets: Dealing with Imbalanced Datasets and Insiders’ Anticipated Purchases," Econometrics, MDPI, vol. 11(3), pages 1-73, August.
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• Li, Chenxing & Zhang, Zehua & Zhao, Ran, 2024. "Volatility or higher moments: Which is more important in return density forecasts of stochastic volatility model?," Finance Research Letters, Elsevier, vol. 67(PB).
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• Lee, David, 2023. "Default Forecasting and Credit Valuation Adjustment," MPRA Paper 118578, University Library of Munich, Germany.
• Lee, David, 2023. "Modeling Collateralization and Its Economic Significance," MPRA Paper 118678, University Library of Munich, Germany.
• Olkhov, Victor, 2023. "Economic Theory as Successive Approximations of Statistical Moments," MPRA Paper 118722, University Library of Munich, Germany.
• Chen, Ying & Grith, Maria & Lai, Hannah L. H., 2023. "Neural Tangent Kernel in Implied Volatility Forecasting: A Nonlinear Functional Autoregression Approach," MPRA Paper 119022, University Library of Munich, Germany.
• Kausik, B.N., 2023. "Equity Premium in Efficient Markets," MPRA Paper 119278, University Library of Munich, Germany.
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• Basharina, Olga & Baranova, Nina & Larin, Sergey, 2023. "Разработка И Апробация Цифровой Модели Принятия Эффективных Инвестиционных Решений Для Формирования Стратегий Развития Экономических Субъектов [Building and testing a digital model for effective in," MPRA Paper 119334, University Library of Munich, Germany, revised 28 Sep 2023.
• Rangan Gupta & Yuvana Jaichand & Christian Pierdzioch & Reneé van Eyden, 2023. "Realized Stock-Market Volatility of the United States and the Presidential Approval Rating," Mathematics, MDPI, vol. 11(13), pages 1-27, July.
  • Rangan Gupta & Yuvana Jaichand & Christian Pierdzioch & Renee van Eyden, 2023. "Realized Stock-Market Volatility of the United States and the Presidential Approval Rating," Working Papers 202311, University of Pretoria, Department of Economics.
• Salisu, Afees A. & Ogbonna, Ahamuefula E. & Gupta, Rangan & Bouri, Elie, 2024. "Energy-related uncertainty and international stock market volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 280-293.
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• Afees A. Salisu & Rangan Gupta, 2023. "Oil Price Returns Skewness and Forecastability of International Stock Returns Over One Century of Data," Working Papers 202339, University of Pretoria, Department of Economics.
• Milan Fičura, 2023. "Impact of size and volume on cryptocurrency momentum and reversal," FFA Working Papers 5.003, Prague University of Economics and Business, revised 05 Apr 2023.
• Caio Almeida & Gustavo Freire & René Garcia & Rodrigo Hizmeri, 2023. "Tail Risk and Asset Prices in the Short-term," Working Papers 2023-06, Princeton University. Economics Department..
• Joana Passinhas, 2023. "A macroprudential look into the risk-return framework of banks’ profitability," Working Papers w202303, Banco de Portugal, Economics and Research Department.
• Zsurkis, Gabriel & Nicolau, João & Rodrigues, Paulo M.M., 2024. "First passage times in portfolio optimization: A novel nonparametric approach," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1074-1085.
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• Luis Fernando Melo-Velandia & José Vicente Romero & Mahicol Stiben Ramírez-González, 2023. "The Global Financial Cycle and Country Risk in Emerging Markets During Stress Episodes: A Copula-CoVaR Approach," Borradores de Economia 1231, Banco de la Republica de Colombia.
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• Makushkin, Mikhail & Lapshin, Victor, 2023. "Dynamic Nelson–Siegel model for market risk estimation of bonds: Practical implementation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 69, pages 5-27.
• Chiou, W. Paul & Dong, Yuchen & Ma, Sofia, 2023. "Performance Of Using Machine Learning Approaches For Credit Rating Prediction: Random Forest And Boosting Algorithms," Journal of Financial Transformation, Capco Institute, vol. 58, pages 44-53.
• Seema REHMAN & Saqib SHARIF & Wali ULLAH, 2023. "Relative Signed Jump and Future Stock Returns," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 25-45, March.
• Abramov, Aleksandr (Абрамов, Александр) & Chernova, Mariya (Чернова, Мария), 2023. "Investing Pension Savings in Russia: Results and Lessons for the Future [Инвестирование Пенсионных Накоплений В России: Результаты И Уроки]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 8-45, June.
• Chinwe Okoyeuzu & Imaobong Judith Nnam & Wilfred Ukpere, 2023. "The Nexus between Oil Price and Stock Returns from a Global Economic Perspective," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 26(1), pages 109-119, December.
• Sumanjay Dutta & Parthajit Kayal & G. Balasubramnaian, 2023. "Volatility Spillover and Directionality in Cryptocurrency and Metal Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 22(4), pages 464-485, December.
• Panagiotis Delis & Stavros Degiannakis & Konstantinos Giannopoulos, 2023. "What Should be Taken into Consideration when Forecasting Oil Implied Volatility Index?," The Energy Journal, , vol. 44(5), pages 231-250, September.
  • Delis, Panagiotis & Degiannakis, Stavros & Giannopoulos, Kostantinos, 2021. "What should be taken into consideration when forecasting oil implied volatility index?," MPRA Paper 110831, University Library of Munich, Germany.
• Oguzhan Cepni & Tarik Dogru & Ozgur Ozdemir, 2023. "The contagion effect of COVID-19-induced uncertainty on US tourism sector: Evidence from time-varying granger causality test," Tourism Economics, , vol. 29(4), pages 906-928, June.
• Joao Vitor Matos Goncalves & Michel Alexandre & Gilberto Tadeu Lima, 2023. "ARIMA and LSTM: A Comparative Analysis of Financial Time Series Forecasting," Working Papers, Department of Economics 2023_13, University of São Paulo (FEA-USP).
• Gianluca Anese & Marco Corazza & Michele Costola & Loriana Pelizzon, 2023. "Impact of public news sentiment on stock market index return and volatility," Computational Management Science, Springer, vol. 20(1), pages 1-36, December.
  • Anese, Gianluca & Corazza, Marco & Costola, Michele & Pelizzon, Loriana, 2021. "Impact of public news sentiment on stock market index return and volatility," SAFE Working Paper Series 322, Leibniz Institute for Financial Research SAFE.
• Mario Figueiredo & Yuri F. Saporito, 2023. "Forecasting the term structure of commodities future prices using machine learning," Digital Finance, Springer, vol. 5(1), pages 57-90, March.
• J. Christopher Westland, 2023. "Determinants of liquidity in cryptocurrency markets," Digital Finance, Springer, vol. 5(2), pages 261-293, June.
• Jan Patrick Hartkopf, 2023. "Composite forecasting of vast-dimensional realized covariance matrices using factor state-space models," Empirical Economics, Springer, vol. 64(1), pages 393-436, January.
• Jie Cheng, 2023. "Modelling and forecasting risk dependence and portfolio VaR for cryptocurrencies," Empirical Economics, Springer, vol. 65(2), pages 899-924, August.
• Tiago E. Pratas & Filipe R. Ramos & Lihki Rubio, 2023. "Forecasting bitcoin volatility: exploring the potential of deep learning," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 285-305, June.
• Riccardo De Blasis, 2023. "Weighted-indexed semi-Markov model: calibration and application to financial modeling," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-16, December.
• Ana Monteiro & Nuno Silva & Helder Sebastião, 2023. "Industry return lead-lag relationships between the US and other major countries," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-48, December.
• James Yae & Yang Luo, 2023. "Robust monitoring machine: a machine learning solution for out-of-sample R $$^2$$ 2 -hacking in return predictability monitoring," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-28, December.
• Ahmet Faruk Aysan & Erhan Muğaloğlu & Ali Yavuz Polat & Hasan Tekin, 2023. "Whether and when did bitcoin sentiment matter for investors? Before and during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
• Tobias Götze & Marc Gürtler & Eileen Witowski, 2023. "Forecasting accuracy of machine learning and linear regression: evidence from the secondary CAT bond market," Journal of Business Economics, Springer, vol. 93(9), pages 1629-1660, November.
• Lars Beckmann & Jörn Debener & Johannes Kriebel, 2023. "Understanding the determinants of bond excess returns using explainable AI," Journal of Business Economics, Springer, vol. 93(9), pages 1553-1590, November.
• Jinan Liu & Apostolos Serletis, 2023. "Volatility and dependence in energy markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 15-37, March.
• Mehmet Sahiner & David G. McMillan & Dimos Kambouroudis, 2023. "Do artificial neural networks provide improved volatility forecasts: Evidence from Asian markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(3), pages 723-762, September.
• Pawan Kumar & Vipul Kumar Singh, 2023. "Examining the Time Varying Spillover Dynamics of Indian Financial Indictors from Global and Local Economic Uncertainty," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 99-121, March.
• Erdinc Akyildirim & Ahmet Goncu & Alper Hekimoglu & Duc Khuong Nguyen & Ahmet Sensoy, 2023. "Statistical arbitrage: factor investing approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(4), pages 1295-1331, December.
  • Akyildirim, Erdinc & Goncu, Ahmet & Hekimoglu, Alper & Nguyen, Duc Khuong & Sensoy, Ahmet, 2021. "Statistical arbitrage: Factor investing approach," MPRA Paper 105766, University Library of Munich, Germany.
  • Erdinc Akyildirim & Ahmet Goncu & Alper Hekimoglu & Duc Khuong Nguyen & Ahmet Sensoy, 2021. "Statistical Arbitrage: Factor Investing Approach," Working Papers 2021-003, Department of Research, Ipag Business School.
• Altina Kamberaj & Gjon Gjonlleshaj & Abdylmenaf Bexheti, 2023. "Fiscal Management of the Customs Administration in the Republic of Kosovo and Its Economic Recovery Contribution During the COVID-19 Pandemic Time," Springer Proceedings in Business and Economics, in: Abdylmenaf Bexheti & Hyrije Abazi-Alili & Léo-Paul Dana & Veland Ramadani & Andrea Caputo (ed.), Economic Recovery, Consolidation, and Sustainable Growth, pages 271-284, Springer.
• Ciao-Wei Chen & Laura Yue Li, 2023. "Is hiring fast a good sign? The informativeness of job vacancy duration for future firm profitability," Review of Accounting Studies, Springer, vol. 28(3), pages 1316-1353, September.
• Mia Hang Pham & Yulia Merkoulova & Chris Veld, 2023. "Credit risk assessment and executives’ legal expertise," Review of Accounting Studies, Springer, vol. 28(4), pages 2361-2400, December.
• Antonio Marsi, 2023. "Predicting European stock returns using machine learning," SN Business & Economics, Springer, vol. 3(7), pages 1-25, July.
• Jan Greunen & André Heymans, 2023. "Determining the Impact of Different Forms of Stationarity on Financial Time Series Analysis," Springer Books, in: Pieter W. Buys & Merwe Oberholzer (ed.), Business Research, chapter 0, pages 61-76, Springer.
• Chris Heerden & André Heymans & Paul Styger, 2023. "The Relationship Between the Forward and the Realized Spot Exchange Rate in South Africa," Springer Books, in: Pieter W. Buys & Merwe Oberholzer (ed.), Business Research, chapter 0, pages 99-115, Springer.
• Frans Dreyer & André Heymans & Chris Heerden, 2023. "Analyzing White Maize Hedging Strategies in South Africa," Springer Books, in: Pieter W. Buys & Merwe Oberholzer (ed.), Business Research, chapter 0, pages 137-155, Springer.
• Adler Haymans Manurung & Derwin Suhartono & Benny Hutahayan & Noptovius Halimawan, 2023. "Probability Bankruptcy Using Support Vector Regression Machines," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(1), pages 1-3.
• Saeed Shaker-Akhtekhane & Solmaz Poorabbas, 2023. "Value-at-Risk Estimation Using an Interpolated Distribution of Financial Returns Series," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(1), pages 1-6.
• Kazım Berk Küçüklerli & Veysel Ulusoy, 2023. "The time-varying correlation between popular narratives and TRY/USD FX rate: Evidence from a DCC-GARCH model," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(4), pages 1-3.
• Massimiliano Kaucic & Filippo Piccotto & Gabriele Sbaiz & Giorgio Valentinuz, 2023. "Optimal Portfolio with Sustainable Attitudes under Cumulative Prospect Theory," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(4), pages 1-4.
• Agnieszka Lisowska & Tadeusz Waściński & Jevgenijs Kurovs & Marcin Szpernalowski & Malgorzata Koszewska, 2023. "The usefulness of financial instruments in assessing the bankruptcy risk of companies," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 11(1), pages 191-208, September.
• Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna, 2023. "Tail risks and forecastability of stock returns of advanced economies: evidence from centuries of data," The European Journal of Finance, Taylor & Francis Journals, vol. 29(4), pages 466-481, March.
  • Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna, 2021. "Tail Risks and Forecastability of Stock Returns of Advanced Economies: Evidence from Centuries of Data," Working Papers 202117, University of Pretoria, Department of Economics.
• Jin Yeub Kim & Yongjun Kim & Myungkyu Shim, 2023. "Do Financial Analysts Herd?," Global Economic Review, Taylor & Francis Journals, vol. 52(3), pages 202-219, July.
  • Jin Yeub Kim & Yongjun Kim & Myungkyu Shim, 2019. "Do Financial Analysts Herd?," Working papers 2019rwp-161, Yonsei University, Yonsei Economics Research Institute.
• Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2023. "Investor Confidence and Forecastability of US Stock Market Realized Volatility: Evidence from Machine Learning," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 24(1), pages 111-122, January.
  • Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2021. "Investor Confidence and Forecastability of US Stock Market Realized Volatility : Evidence from Machine Learning," Working Papers 202118, University of Pretoria, Department of Economics.
• Elizabeth Omolola OYEDEPO & Joel Ede OWURU & Mutiu Gbade RASAKI & Britney LOUIS-OKEREKE, 2022. "Commercial Bank Credit and Agricultural Growth Outcomes in Nigeria: An Empirical Analysis," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 6(2), pages 1-19.
• Samuel Tabot ENOW, 2023. "A Non-linear Dependency Test for Market Efficiency: Evidence from International Stock Markets," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 7(1), pages 1-12.
• GUNANTO, Adi, 2023. "Evaluation Of Prediction Accuracy Models For Bankruptcy In Indonesian Banks," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 27(2), pages 53-71, June.
• Oktaba Paweł & Grzywińska-Rąpca Małgorzata, 2023. "Modification of technical analysis indicators and increasing the rate of return on investment," Central European Economic Journal, Sciendo, vol. 10(57), pages 148-162, January.
• Sabek Amine, 2023. "Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 9(1), pages 16-32, July.
• Gajdosikova Dominika & Valaskova Katarina, 2023. "Bankruptcy Prediction Model Development and its Implications on Financial Performance in Slovakia," Economics and Culture, Sciendo, vol. 20(1), pages 30-42, June.
• Čečević Bojana Novićević & Antić Ljilja & Jevtić Adrijana, 2023. "Stock Price Prediction of the Largest Automotive Competitors Based on the Monte Carlo Method," Economic Themes, Sciendo, vol. 61(3), pages 419-441, September.
• Goel Himanshu & Agarwal Monika & Chhabra Meghna & Som Bhupender Kumar, 2023. "The Predictive Power of Macroeconomic Variables on the Indian Stock Market Utilizing an Ann Model Approach: An Empirical Investigation Based on BSE Sensex," Folia Oeconomica Stetinensia, Sciendo, vol. 23(2), pages 116-131, December.
• Yulianto Arief & Widiyanto Widiyanto & Witiastuti Rini, 2023. "Asymmetric Information in New Investment: Evidence in Indonesia," Foundations of Management, Sciendo, vol. 15(1), pages 177-186, January.
• Lozhachevska Olena & Taranenko Artem & Raikovska Inna & Pleskach Oleksandr & Kupchyshyna Olga & Shatskaya Zorina & Puzyryova Polina, 2023. "Financial Strategy of Management for Marketing and Communication Design in Smart Economy Conditions," Management Theory and Studies for Rural Business and Infrastructure Development, Sciendo, vol. 45(4), pages 314-333, December.
• Marcin Chlebus & Artur Nowak, 2023. "From Alchemy to Analytics: Unleashing the Potential of Technical Analysis in Predicting Noble Metal Price Movement," Working Papers 2023-13, Faculty of Economic Sciences, University of Warsaw.
• Theologos Dergiades & Panos K. Pouliasis, 2023. "Should stock returns predictability be ‘hooked on’ long‐horizon regressions?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 718-732, January.
  • Theologos Dergiades & Panos K. Pouliasis, 2021. "Should Stock Returns Predictability be hooked on Long Horizon Regressions?," Discussion Paper Series 2021_03, Department of Economics, University of Macedonia, revised Feb 2021.
• Athanasios Triantafyllou & Dimitrios Bakas & Marilou Ioakimidis, 2023. "Commodity price uncertainty as a leading indicator of economic activity," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4194-4219, October.
  • Athanasios Triantafyllou & Dimitrios Bakas & Marilou Ioakimidis, 2019. "Commodity Price Uncertainty as a Leading Indicator of Economic Activity," Working Paper series 19-03, Rimini Centre for Economic Analysis.
  • Bakas, Dimitrios & Ioakimidis, Marilou & Triantafyllou, Athanasios, 2020. "Commodity Price Uncertainty as a Leading Indicator of Economic Activity," Essex Finance Centre Working Papers 27361, University of Essex, Essex Business School.
• Tamás Kiss & Stepan Mazur & Hoang Nguyen & Pär Österholm, 2023. "Modeling the relation between the US real economy and the corporate bond‐yield spread in Bayesian VARs with non‐Gaussian innovations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 347-368, March.
  • Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang & Österholm, Pär, 2021. "Modelling the Relation between the US Real Economy and the Corporate Bond-Yield Spread in Bayesian VARs with non-Gaussian Disturbances," Working Papers 2021:9, Örebro University, School of Business.
• Stavros Degiannakis & George Filis & Grigorios Siourounis & Lorenzo Trapani, 2023. "Superkurtosis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2061-2091, December.
  • Degiannakis, Stavros & Filis, George & Siourounis, Grigorios & Trapani, Lorenzo, 2019. "Superkurtosis," MPRA Paper 94473, University Library of Munich, Germany.
  • Stavros Degiannakis & George Filis & Grigorios Siourounis & Lorenzo Trapani, 2023. "Superkurtosis," Working Papers 318, Bank of Greece.
  • Degiannakis, Stavros & Filis, George & Siourounis, Grigorios & Trapani, Lorenzo, 2019. "Superkurtosis," MPRA Paper 96563, University Library of Munich, Germany.
• Marc S. Paolella & PaweÅ‚ Polak, 2023. "Density and Risk Prediction with Non-Gaussian COMFORT Models," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-37, March.
• Mohamad Hassan Shahrour & Mostafa Dekmak, 2023. "Intelligent stock prediction: A neural network approach," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 1-14, March.
• Bolin Lei & Yuping Song, 2023. "The impact of contagion effects of media reports, investors’ sentiment and attention on the stock market based on HAR-RV model," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-54, June.
• Amritkant Mishra & Ajit Kumar Dash & Shri Narayan Pandey & Amba Agarwal, 2023. "Dynamic spillover among the sectoral indices: Evidence from first and second waves of COVID-19," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(03), pages 1-22, September.
• Stefania Sylos Labini & Iryna Nyenno, 2023. "Risk Mapping As A Form Of Banking Immunity Response To Covid-19 Pandemic," Journal of Financial Management, Markets and Institutions (JFMMI), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 1-22, December.
• Henry Penikas & Anastasia Skarednova & Mikhail Surkov, 2023. "How Do Investors Prefer for Banks to Transition to Basel Internal Models: Mandatorily or Voluntarily?," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-24, June.
• Faria, Gonçalo & Verona, Fabio, 2023. "Forecast combination in the frequency domain," Bank of Finland Research Discussion Papers 1/2023, Bank of Finland.
• Braun, Alexander & Braun, Julia & Weigert, Florian, 2023. "Extreme weather risk and the cost of equity," CFR Working Papers 23-08, University of Cologne, Centre for Financial Research (CFR).
• Agrrawal, Pankaj & Agarwal, Rajat, 2023. "A Longer-Term evaluation of Information releases by Influential market Agents and the Semi-strong market Efficiency," EconStor Preprints 273555, ZBW - Leibniz Information Centre for Economics.

2022

• Mădălina Sperlea (Popescu Bordeni), 2022. "The Genesis of Economic and Financial Criminality," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 440-449, Decembrie.
• Guellil, Mohammed Seghir & Sari-Hassoun, Salah Eddine & Chica-Olmo, Jorge & Saraç, Mehmet, 2022. "What are the main factors driving behind the MENA countries current account deficit? A panel logit approach analysis [¿Cuáles son los principales factores que impulsan el déficit de cuenta corrient," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 33(1), pages 134-153, June.
• Walid Mansour & Hechem Ajmi & Karima Saci, 2022. "Regulatory policies in the global Islamic banking sector in the outbreak of COVID-19 pandemic," Journal of Banking Regulation, Palgrave Macmillan, vol. 23(3), pages 265-287, September.
• Piotr Fiszeder & Marta Ma³ecka, 2022. "Forecasting volatility during the outbreak of Russian invasion of Ukraine: application to commodities, stock indices, currencies, and cryptocurrencies," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(4), pages 939-967, December.
• Tomasz Korol & Anestis K. Fotiadis, 2022. "Implementing artificial intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan," Oeconomia Copernicana, Institute of Economic Research, vol. 13(2), pages 407-438, June.
• Beata Gavurova & Sylvia Jencova & Radovan Bacik & Marta Miskufova & Stanislav Letkovsky, 2022. "Artificial intelligence in predicting the bankruptcy of non-financial corporations," Oeconomia Copernicana, Institute of Economic Research, vol. 13(4), pages 1215-1251, December.
• Olkhov, Victor, 2022. "Introduction of the Market-Based Price Autocorrelation," MPRA Paper 112003, University Library of Munich, Germany.
• Pablo Pincheira Brown & Nicolás Hardy, 2024. "Correlation‐based tests of predictability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1835-1858, September.
  • Pincheira, Pablo & Hardy, Nicolas, 2022. "Correlation Based Tests of Predictability," MPRA Paper 112014, University Library of Munich, Germany.
• Olkhov, Victor, 2022. "Price and Payoff Autocorrelations in the Consumption-Based Asset Pricing Model," MPRA Paper 112255, University Library of Munich, Germany.
• Daniel Tut, 2022. "Bitcoin: Future or Fad?," Springer Books, in: Thomas Walker & Frederick Davis & Tyler Schwartz (ed.), Big Data in Finance, pages 133-157, Springer.
  • Tut, Daniel, 2022. "Bitcoin: Future or Fad?," MPRA Paper 112376, University Library of Munich, Germany.
• Xu, Jack, 2022. "Fundamental Credit Analysis through Dynamical Modeling and Simulation of the Balance Sheet: Applications to Chinese Real Estate Developers," MPRA Paper 112699, University Library of Munich, Germany.
• Mandal, Nivedita & Das, Rituparna, 2022. "Price Discovery Efficiency and Resilience of Financial Futures - A Case Study of Indian Banking Sector," MPRA Paper 112844, University Library of Munich, Germany.
• Victor Olkhov, 2022. "Market-Based Asset Price Probability," Papers 2205.07256, arXiv.org, revised Feb 2024.
  • Olkhov, Victor, 2022. "The Market-Based Asset Price Probability," MPRA Paper 113096, University Library of Munich, Germany.
  • Olkhov, Victor, 2022. "The Market-Based Asset Price Probability," MPRA Paper 115382, University Library of Munich, Germany, revised 16 Nov 2022.
• Syed Abul, Basher & Perry, Sadorsky, 2022. "Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?," MPRA Paper 113293, University Library of Munich, Germany.
• Dean Fantazzini, 2022. "Crypto-Coins and Credit Risk: Modelling and Forecasting Their Probability of Death," JRFM, MDPI, vol. 15(7), pages 1-34, July.
  • Fantazzini, Dean, 2022. "Crypto Coins and Credit Risk: Modelling and Forecasting their Probability of Death," MPRA Paper 113744, University Library of Munich, Germany.
• Lee, David, 2022. "Pricing Cancellation Product," MPRA Paper 114147, University Library of Munich, Germany.
• Yang, Bill Huajian, 2022. "Modeling Path-Dependent State Transition by a Recurrent Neural Network," MPRA Paper 114188, University Library of Munich, Germany, revised 18 Jul 2022.
• Lee, David, 2022. "Generic Price Model for Commodity Derivatives," MPRA Paper 114283, University Library of Munich, Germany.
• Youssef El-Khatib & Abdulnasser Hatemi-J, 2023. "On a regime switching illiquid high volatile prediction model for cryptocurrencies," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 51(2), pages 485-498, July.
  • El-Khatib, Youssef & Hatemi-J, Abdulnasser, 2022. "On a Regime Switching Illiquid High Volatile Prediction Model for Cryptocurrencies," MPRA Paper 114556, University Library of Munich, Germany.
• Podshivalov, Georgii Gordon, 2022. "Predicting a recession with ensemble forecasting: the Fisher Knight recession indicator," MPRA Paper 115002, University Library of Munich, Germany, revised 16 Oct 2022.
• Storti, Giuseppe & Wang, Chao, 2022. "A multivariate semi-parametric portfolio risk optimization and forecasting framework," MPRA Paper 115266, University Library of Munich, Germany.
• Victor Olkhov, 2022. "Market-Based Asset Price Probability," Papers 2205.07256, arXiv.org, revised Feb 2024.
  • Olkhov, Victor, 2022. "The Market-Based Asset Price Probability," MPRA Paper 115382, University Library of Munich, Germany, revised 16 Nov 2022.
  • Olkhov, Victor, 2022. "The Market-Based Asset Price Probability," MPRA Paper 113096, University Library of Munich, Germany.
• Yang, Zixiu & Fantazzini, Dean, 2022. "Using crypto assets pricing methods to build technical oscillators for short-term bitcoin trading," MPRA Paper 115508, University Library of Munich, Germany.
• Gaete, Michael & Herrera, Rodrigo, 2023. "Diversification benefits of commodities in portfolio allocation: A dynamic factor copula approach," Journal of Commodity Markets, Elsevier, vol. 32(C).
  • Gaete, Michael & Herrera, Rodrigo, 2022. "Diversification benefits of commodities in portfolio allocation: A dynamic factor copula approach," MPRA Paper 115641, University Library of Munich, Germany.
• M N, Nikhil & Chakraborty, Suman & B M, Lithin & Ledwani, Sanket, 2022. "Modeling Indian Bank Nifty volatility using univariate GARCH models," MPRA Paper 116824, University Library of Munich, Germany, revised 06 Feb 2023.
• B M, Lithin & Chakraborty, Suman & Iyer, Vishwanathan & M N, Nikhil & Ledwani, Sanket, 2022. "Modelling asymmetric sovereign bond yield volatility with univariate GARCH models: Evidence from India," MPRA Paper 116866, University Library of Munich, Germany, revised 07 Mar 2023.
• B M, Lithin & chakraborty, Suman & iyer, Vishwanathan & M N, Nikhil & ledwani, Sanket, 2022. "Modeling asymmetric sovereign bond yield volatility with univariate GARCH models: Evidence from India," MPRA Paper 117067, University Library of Munich, Germany, revised 05 Jan 2023.
• Datta, Susanta & Hatekar, Neeraj, 2022. "Range Volatility Spillover across Sectoral Stock Indices during COVID-19 Pandemic: Evidence from Indian Stock Market," MPRA Paper 117285, University Library of Munich, Germany.
• Pitterle, Claudia, 2022. "Home- Market- Bias! Investment behavior from the perspective of behavioral economics in the Germany stock market," MPRA Paper 117698, University Library of Munich, Germany.
• Lycheva, Maria & Mironenkov, Alexey & Kurbatskii, Alexey & Fantazzini, Dean, 2022. "Forecasting oil prices with penalized regressions, variance risk premia and Google data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 28-49.
  • Fantazzini, Dean & Kurbatskii, Alexey & Mironenkov, Alexey & Lycheva, Maria, 2022. "Forecasting oil prices with penalized regressions, variance risk premia and Google data," MPRA Paper 118239, University Library of Munich, Germany.
• Brahmana, Rayenda Khresna, 2022. "Do Machine Learning Approaches Have the Same Accuracy in Forecasting Cryptocurrencies Volatilities?," MPRA Paper 119598, University Library of Munich, Germany.
• Victor Olkhov, 2022. "Market-Based Price Autocorrelation," Papers 2202.09323, arXiv.org, revised Feb 2024.
  • Olkhov, Victor, 2022. "Market-Based Price Autocorrelation," MPRA Paper 120288, University Library of Munich, Germany, revised 26 Feb 2024.
• Bonato, Matteo & Cepni, Oguzhan & Gupta, Rangan & Pierdzioch, Christian, 2023. "Climate risks and state-level stock market realized volatility," Journal of Financial Markets, Elsevier, vol. 66(C).
  • Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2022. "Climate Risks and State-Level Stock-Market Realized Volatility," Working Papers 202246, University of Pretoria, Department of Economics.
• Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2024. "Business applications and state‐level stock market realized volatility: A forecasting experiment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 456-472, March.
  • Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2022. "Business Applications and State-Level Stock Market Realized Volatility: A Forecasting Experiment," Working Papers 202247, University of Pretoria, Department of Economics.
• Boris Mišun & Karin Mašková & Marek Jindra, 2022. "Case study - specifics of transfer pricing in the context of enterprise valuation [Případová studie - specifika nastavení převodních cen v kontextu ocenění závodu]," Oceňování, Prague University of Economics and Business, vol. 15(4), pages 33-43.
• Carla Marques, 2022. "Modelling the financial situation of Portuguese firms using micro-data: a simulation for the COVID-19 pandemic," Working Papers o202203, Banco de Portugal, Economics and Research Department.
• Savvakis C. Savvides, 2022. "Risk through the Looking Glass," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 23(4), pages 71-98, October.
  • Savvakis C. Savvides, 2022. "Risk Through the Looking-Glass," Development Discussion Papers 2022-06, JDI Executive Programs.
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• Daniel Tut, 2022. "Bitcoin: Future or Fad?," Springer Books, in: Thomas Walker & Frederick Davis & Tyler Schwartz (ed.), Big Data in Finance, pages 133-157, Springer.
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• Alexander Georges Gretener & Matthias Neuenkirch & Dennis Umlandt, 2022. "Dynamic Mixture Vector Autoregressions with Score-Driven Weights," Working Paper Series 2022-02, University of Trier, Research Group Quantitative Finance and Risk Analysis.
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• Anthony J. Makin, 2022. "The Pandemic’s Pernicious Public Debt Legacy," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 2, pages 45-62, World Scientific Publishing Co. Pte. Ltd..
• John L. Haracz, 2022. "The Importance of Negative Feedback and Countervailing Measures for Financial System Stabilization and Constrained Inequality: A COVID-19–Induced Reminder," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 3, pages 63-111, World Scientific Publishing Co. Pte. Ltd..
• İlkay Şendeniz-Yüncü, 2022. "New Evidence on the Interactions Between International Integration and Real Economy During the COVID-19 Crisis," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 4, pages 113-130, World Scientific Publishing Co. Pte. Ltd..
• Alfredo Martín-Oliver & Florina Silaghi, 2022. "Great Recession: Mere Dry Run for COVID-19?," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 5, pages 131-151, World Scientific Publishing Co. Pte. Ltd..
• Veni Arakelian, 2022. "Extreme Events: What Are US Stock Market Sectors Afraid of More?," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 6, pages 155-197, World Scientific Publishing Co. Pte. Ltd..
• Moritz Johannes Herber & Matthias Scherf, 2022. "Rational Behavior or Mere Panic? The Effects of the COVID-19 Pandemic on the Stock Markets," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 7, pages 199-227, World Scientific Publishing Co. Pte. Ltd..
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• Zeynep Kantur & Gülserim Özcan, 2022. "Impact of the Severity of the COVID-19 Pandemic on the Interaction Between Foreign Trading and Stock Market Volatility," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 10, pages 287-308, World Scientific Publishing Co. Pte. Ltd..
• Abdelkader Derbali & Mohamed Bechir Chenguel & Lamia Jamel & Meriem Jouirou & Fathi Jouini, 2022. "COVID-19 Pandemic and Co-movement Dynamics Among American and European Stock Markets," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 11, pages 309-346, World Scientific Publishing Co. Pte. Ltd..
• Marco Rossi, 2022. "Insuring Against Pandemics: A Private Sector Instrument for the Private Sector," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 12, pages 349-362, World Scientific Publishing Co. Pte. Ltd..
• Asror Nigmonov & Hussein Daradkeh, 2022. "From One Crisis to Another: Impact of COVID-19 Pandemic on Peer-to-Peer Lending Market," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 13, pages 363-402, World Scientific Publishing Co. Pte. Ltd..
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• Saroja Selvanathan & Eliyathamby A. Selvanathan, 2022. "The Nexus Between Oil and Gold Prices During the COVID-19 Pandemic," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 15, pages 447-474, World Scientific Publishing Co. Pte. Ltd..
• Stelios Markoulis & Neophytos Vasiliou, 2022. "The Resilience of the Euro in the Era of COVID-19," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 16, pages 475-498, World Scientific Publishing Co. Pte. Ltd..
• Jędrzej Białkowski & Anna Sławik, 2022. "Does a High ESG Score Pay Off During the Pandemic Outbreak?," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 17, pages 501-533, World Scientific Publishing Co. Pte. Ltd..
• Valdonė Darškuvienė & Bernadeta Goštautaitė & Egidijus Kundelis & Dalius Misiūnas & Siuzana Ščerbina-Dalibagienė, 2022. "Firm Liquidity During the COVID-19 Crisis," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 18, pages 535-554, World Scientific Publishing Co. Pte. Ltd..
• Grazia Dicuonzo & Francesca Donofrio, 2022. "The Implications of the COVID-19 Pandemic on Corporate Governance: The Board of Directors’ Response," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 19, pages 555-581, World Scientific Publishing Co. Pte. Ltd..
• Nidhi Kaicker & Radhika Aggarwal & Raghav Gaiha, 2022. "COVID-19 Pandemic: Impact of Lockdown on Firm-Level Returns in India," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 20, pages 583-613, World Scientific Publishing Co. Pte. Ltd..
• Shreya Biswas & Nivedita Sinha, 2022. "Business Group Affiliation and Resilience to COVID-19 Outbreak in India," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 21, pages 615-637, World Scientific Publishing Co. Pte. Ltd..
• Magdalena Grothe & Antonio Sánchez Serrano, 2022. "Two Questions on the Banking Sector After the Pandemic Hit," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 22, pages 641-665, World Scientific Publishing Co. Pte. Ltd..
• Frederic de Mariz, 2022. "How Will the 2020 Crisis Accelerate the Evolution of the Banking System?," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 23, pages 667-695, World Scientific Publishing Co. Pte. Ltd..
• Wissem Ajili-Ben Youssef & Yves Rakotondratsimba, 2022. "Future Research Avenues for Finance in Transformation," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 24, pages 697-727, World Scientific Publishing Co. Pte. Ltd..
• Jasmine T. Ha & Jason Q. Nguyen & Quan V. Le, 2022. "Impacts of COVID-19 on Digital Financial Transformation: Insights from Consumer Behaviors in Vietnam," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 25, pages 729-755, World Scientific Publishing Co. Pte. Ltd..
• Mazin A. M. Al Janabi, 2022. "Transformation of Derivatives Securities in Emerging Markets: Policy Implications in Light of the 2007–2009 Global Financial Crisis and COVID-19 Pandemic," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 26, pages 757-786, World Scientific Publishing Co. Pte. Ltd..
• Qiyu Wang, 2022. "Impact on Financial Markets and Institutions," World Scientific Book Chapters, in: Sabri Boubaker & Duc Khuong Nguyen (ed.), Financial Transformations Beyond the COVID-19 Health Crisis, chapter 27, pages 787-801, World Scientific Publishing Co. Pte. Ltd..
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• di Iasio, Giovanni & Alogoskoufis, Spyridon & Kördel, Simon & Kryczka, Dominika & Nicoletti, Giulio & Vause, Nicholas, 2022. "A model of system-wide stress simulation: market-based finance and the Covid-19 event," Working Paper Series 2671, European Central Bank.
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• Arthur Stalla-Bourdillon, 2022. "Stock Return Predictability: comparing Macro- and Micro-Approaches," Working papers 891, Banque de France.
• Nicolas Chatelais & Arthur Stalla-Bourdillon & Menzie D. Chinn, 2022. "Macroeconomic Forecasting using Filtered Signals from a Stock Market Cross Section," NBER Working Papers 30305, National Bureau of Economic Research, Inc.
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• Meena Sharma & Sunita, 2022. "Examining Asymmetric Volatility Dynamism of Returns in the Infrastructure Sector in India during Covid 19: - A application of GARCH Models," Acta Universitatis Bohemiae Meridionales, University of South Bohemia in Ceske Budejovice, vol. 25(2), pages 126-137.
• Mba Jules Clement & Mwambetania Mwambi Sutene, 2022. "Crypto-assets portfolio selection and optimization: a COGARCH-Rvine approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(2), pages 173-190, April.
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• Yao, Fang, 2022. "Estimating the Trend of the House Price to Income Ratio in Ireland," Research Technical Papers 8/RT/22, Central Bank of Ireland.
• W. Saart, Patrick & Kim, Namhyun & Bateman, Ian, 2021. "Understanding spatial heterogeneity in GB agricultural land-use for improved policy targeting," Cardiff Economics Working Papers E2021/8, Cardiff University, Cardiff Business School, Economics Section.
• Xu, Yongdeng, 2022. "The Exponential HEAVY Model: An Improved Approach to Volatility Modeling and Forecasting," Cardiff Economics Working Papers E2022/5, Cardiff University, Cardiff Business School, Economics Section.
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• Michael Schnetzer & Thorsten Hens, 2022. "Evolutionary finance for multi-asset investors," Swiss Finance Institute Research Paper Series 22-05, Swiss Finance Institute.
• Antoine Kopp & Rebecca Westphal & Didier Sornette, 2022. "Agent-based model generating stylized facts of fixed income markets," Swiss Finance Institute Research Paper Series 22-37, Swiss Finance Institute.
• Didier Sornette & Sandro Claudio Lera & Jianhong Lin & Ke Wu, 2022. "Non-Normal Interactions Create Socio-Economic Bubbles," Swiss Finance Institute Research Paper Series 22-43, Swiss Finance Institute.
• Soros Chitsiripanich & Marc S. Paolella & Pawel Polak & Patrick S. Walker, 2022. "Momentum Without Crashes," Swiss Finance Institute Research Paper Series 22-87, Swiss Finance Institute.
• Marc S. Paolella & Pawel Polak, 2022. "Density and Risk Prediction with Non-Gaussian COMFORT Models," Swiss Finance Institute Research Paper Series 22-88, Swiss Finance Institute.
• Gamboa-Estrada, Fredy & Romero, José Vicente, 2022. "Common and idiosyncratic movements in Latin-American exchange rates," International Economics, Elsevier, vol. 171(C), pages 174-190.
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• Claudia PITTERLE, 2022. "Home-Market Bias! Investment Behavior From The Persepctive Of Behavioral Economics In The German Stock Market," CrossCultural Management Journal, Fundația Română pentru Inteligența Afacerii, Editorial Department, issue 2, pages 143-148, December.
• Jorge Luis Sánchez Arévalo & Gabriela Moreira de Sousa & Rodrigo Malta Meurer, 2022. "Efeito causal entre o indicador de bolsa de valores Ibovespa e os indicadores Shangai, S&P500, Merval e Nikkei," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 41(87), pages 457-479, December.
• José Gabriel Astaiza Gómez & Camilo Andrés Pérez Pacheco, 2022. "Equity Analyst Reports and Stock Prices," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 41(73), pages 43-62, February.
• Vicente René Encalada Encarnación, 2022. "Una propuesta de modelo con base en NIIF pymes para el mejoramiento de la gestión económica y financiera en pequenas empresas guayaquilenas," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 14(1), pages 49-74, January.
• Bozena Sowa, 2022. "The Impact Of The Tax Harmonization Process (On The Example Of Vat) On Budget Revenues In 25 Selected Eu Countries - A Comparative Analysis," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 3 Year 20, pages 17-31.
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• Dessaint, Olivier & Foucault, Thierry & Frésard, Laurent, 2022. "The Horizon of Investors' Information and Corporate Investment," HEC Research Papers Series 1462, HEC Paris.
• Giovanni di Iasio & Spyridon Alogoskoufis & Simon Kordel & Dominika Kryczka & Giulio Nicoletti & Nicholas Vause, 2022. "A model of system-wide stress simulation: market-based finance and the Covid-19 event," Questioni di Economia e Finanza (Occasional Papers) 687, Bank of Italy, Economic Research and International Relations Area.
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  • Afees A. Salisu & Juncal Cunado & Rangan Gupta, 2020. "Geopolitical Risks and Historical Exchange Rate Volatility of the BRICS," Working Papers 2020105, University of Pretoria, Department of Economics.
• Takamizawa, Hideyuki, 2022. "How arbitrage-free is the Nelson–Siegel model under stochastic volatility?," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 205-223.
• Umar, Zaghum & Riaz, Yasir & Aharon, David Y., 2022. "Network connectedness dynamics of the yield curve of G7 countries," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 275-288.
• López-Martín, Carmen & Arguedas-Sanz, Raquel & Muela, Sonia Benito, 2022. "A cryptocurrency empirical study focused on evaluating their distribution functions," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 387-407.
• Tan, Yuanyue & Wang, Zhiqiang & Xiong, Haifang & Liu, Yue, 2022. "Fundamental momentum and enhanced fundamental momentum: Evidence from the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 680-693.
• Wu, Chunying & Xiong, Xiong & Gao, Ya, 2022. "The role of different information sources in information spread: Evidence from three media channels in China," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 327-341.
• Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je & Gau, Yin-Feng, 2022. "Risk-return trade-off in the Australian Securities Exchange: Accounting for overnight effects, realized higher moments, long-run relations, and fractional cointegration," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 384-401.
• Xiao, Jihong & Wang, Yudong, 2022. "Good oil volatility, bad oil volatility, and stock return predictability," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 953-966.
• d’Addona, Stefano & Khanom, Najrin, 2022. "Estimating tail-risk using semiparametric conditional variance with an application to meme stocks," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 241-260.
• Yuan, Kunpeng & Chi, Guotai & Zhou, Ying & Yin, Hailei, 2022. "A novel two-stage hybrid default prediction model with k-means clustering and support vector domain description," Research in International Business and Finance, Elsevier, vol. 59(C).
• Dharani, Munusamy & Hassan, M. Kabir & Rabbani, Mustafa Raza & Huq, Tahsin, 2022. "Does the Covid-19 pandemic affect faith-based investments? Evidence from global sectoral indices," Research in International Business and Finance, Elsevier, vol. 59(C).
• Kristóf, Tamás & Virág, Miklós, 2022. "EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks," Research in International Business and Finance, Elsevier, vol. 61(C).
• Plastun, Alex & Bouri, Elie & Havrylina, Ahniia & Ji, Qiang, 2022. "Calendar anomalies in passion investments: Price patterns and profit opportunities," Research in International Business and Finance, Elsevier, vol. 61(C).
• Charfeddine, Lanouar & Benlagha, Noureddine & Khediri, Karim Ben, 2022. "An intra-cryptocurrency analysis of volatility connectedness and its determinants: Evidence from mining coins, non-mining coins and tokens," Research in International Business and Finance, Elsevier, vol. 62(C).
• Wang, Gang-Jin & Xiong, Lu & Zhu, You & Xie, Chi & Foglia, Matteo, 2022. "Multilayer network analysis of investor sentiment and stock returns," Research in International Business and Finance, Elsevier, vol. 62(C).
• Aloui, Riadh & Ben Jabeur, Sami & Mefteh-Wali, Salma, 2022. "Tail-risk spillovers from China to G7 stock market returns during the COVID-19 outbreak: A market and sectoral analysis," Research in International Business and Finance, Elsevier, vol. 62(C).
• Su, Yuandong & Lu, Xinjie & Zeng, Qing & Huang, Dengshi, 2022. "Good air quality and stock market returns," Research in International Business and Finance, Elsevier, vol. 62(C).
• Wang, Ping & Han, Wei & Huang, Chengcheng & Duong, Duy, 2022. "Forecasting realised volatility from search volume and overnight sentiment: Evidence from China," Research in International Business and Finance, Elsevier, vol. 62(C).
• Carvajal-Patiño, Daniel & Ramos-Pollán, Raul, 2022. "Synthetic data generation with deep generative models to enhance predictive tasks in trading strategies," Research in International Business and Finance, Elsevier, vol. 62(C).
• Bai, Chenjiang & Duan, Yuejiao & Liu, Congya & Qiu, Leiju, 2022. "International taxation sentiment and COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 63(C).
• Foster, Joshua & Haley, M. Ryan, 2022. "Charity auctions as assets: Theory and simulations of fundraising risk management in mean-variance space," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
• Yu, Baojun & Li, Changming & Mirza, Nawazish & Umar, Muhammad, 2022. "Forecasting credit ratings of decarbonized firms: Comparative assessment of machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
• Yan, Lei & Mirza, Nawazish & Umar, Muhammad, 2022. "The cryptocurrency uncertainties and investment transitions: Evidence from high and low carbon energy funds in China," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
• Liang, Chao & Umar, Muhammad & Ma, Feng & Huynh, Toan L.D., 2022. "Climate policy uncertainty and world renewable energy index volatility forecasting," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
• Edson Z. Monte & Lucas B. Defanti, 2022. "Dynamic Interdependence and Volatility Transmission from the American to the Brazilian Stock Market," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 65(1), pages 52-73.
• Calonaci, Fabio & Kapetanios, George & Price, Simon, 2022. "Stock returns predictability with unstable predictors," Essex Finance Centre Working Papers 32331, University of Essex, Essex Business School.
  • Fabio Calonaci & George Kapetanios & Simon Price, 2022. "Stock returns predictability with unstable predictors," CAMA Working Papers 2022-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Huy Viet Hoang & Son Tung Ha & Manh Linh Tran & Thi Thu Trang Nguyen, 2022. "Is auditor tolerant of earnings management in socially responsible firms? Evidence from China," Asian Review of Accounting, Emerald Group Publishing Limited, vol. 30(5), pages 669-690, October.
• Huy Viet Hoang & Son Tung Ha & Manh Linh Tran & Thi Thu Trang Nguyen, 2022. "Is auditor tolerant of earnings management in socially responsible firms? Evidence from China," Asian Review of Accounting, Emerald Group Publishing Limited, vol. 30(5), pages 669-690, October.
• Ender Baykut & Ercan Özen, 2022. "An Assessment of the Borsa Istanbul Insurance Index Return Structure: The Markov Regime Switching Model," Contemporary Studies in Economic and Financial Analysis, in: Managing Risk and Decision Making in Times of Economic Distress, Part B, volume 108, pages 203-214, Emerald Group Publishing Limited.
• Serdar Simonyan & Sema Bayraktar, 2022. "Asymmetric dynamics in sovereign credit default swaps pricing: evidence from emerging countries," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 18(12), pages 5607-5629, March.
• Hakan Yildirim & Saffet Akdag & Andrew Adewale Alola, 2022. "Is there a price bubble in the exchange rates of the developing countries? The case of BRICS and Turkey," Journal of Economics, Finance and Administrative Science, Emerald Group Publishing Limited, vol. 27(54), pages 247-261, May.
• Clio Ciaschini & Maria Cristina Recchioni, 2022. "A market sentiment indicator, behaviourally grounded, for the analysis and forecast of volatility and bubbles," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 16(1), pages 17-38, November.
• Gil Cohen, 2022. "Artificial Intelligence in Trading the Financial Markets," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 101-110.
• Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Transformed regression-based long-horizon predictability tests," Journal of Econometrics, Elsevier, vol. 237(2).
  • Demetrescu, Matei & Rodrigues, Paulo MM & Taylor, AM Robert, 2022. "Transformed Regression-based Long-Horizon Predictability Tests," Essex Finance Centre Working Papers 30620, University of Essex, Essex Business School.
• Fabio Calonaci & George Kapetanios & Simon Price, 2022. "Stock returns predictability with unstable predictors," CAMA Working Papers 2022-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Calonaci, Fabio & Kapetanios, George & Price, Simon, 2022. "Stock returns predictability with unstable predictors," Essex Finance Centre Working Papers 32331, University of Essex, Essex Business School.
• Golub, Alexander & Anda, Jon & Markandya, Anil & Brody, Michael & Celovic, Aldin & Kedaitiene, Angele, 2022. "Climate alpha and the global capital market," FEEM Working Papers 322792, Fondazione Eni Enrico Mattei (FEEM).
  • Alexander Golub & Jon Anda & Anil Markandya & Michael Brody & Aldin Celovic & Angele Kedaitiene, 2022. "Climate alpha and the global capital market," Working Papers 2022.19, Fondazione Eni Enrico Mattei.
• Daniel Borup & Philippe Goulet Coulombe & Erik Christian Montes Schütte & David E. Rapach & Sander Schwenk-Nebbe, 2022. "The Anatomy of Out-of-Sample Forecasting Accuracy," FRB Atlanta Working Paper 2022-16, Federal Reserve Bank of Atlanta.
  • Daniel Borup & Philippe Goulet Coulombe & Erik Christian Montes Schütte & David E. Rapach & Sander Schwenk-Nebbe, 2024. "The Anatomy of Out-of-Sample Forecasting Accuracy," FRB Atlanta Working Paper 2022-16b, Federal Reserve Bank of Atlanta.
• Filippo Ferroni, 2022. "How Interconnected Are Cryptocurrencies and What Does This Mean for Risk Management," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue 466, pages 1-5, March.
• Elena V. Ryabova & Natalia V. Feruleva & Olga A. Zamotaeva, 2022. "Assessing the Investment Attractiveness of Oil Field Development Projects under the Tax Maneuver: The Evidence from West Siberia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 86-101, June.
• Andrey V. Zubarev & Kirill D. Shilov, 2022. "Stress Test of the Russian Banking System: The Case of an Increase in Overdue Debt [Стресс-Тест Российской Банковской Системы: Случай Роста Просроченной Задолженности]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 52-62, December.
• Andrey V. Zubarev & Kirill D. Shilov, 2022. "Стресс-Тест Российской Банковской Системы: Случай Роста Просроченной Задолженности," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 52-62, December.
• Sisa Shiba & Juncal Cunado & Rangan Gupta, 2022. "Predictability of the Realised Volatility of International Stock Markets Amid Uncertainty Related to Infectious Diseases," JRFM, MDPI, vol. 15(1), pages 1-18, January.
  • Sisa Shiba & Juncal Cunado & Rangan Gupta, 2021. "Predictability of the Realised Volatility of International Stock Markets Amid Uncertainty Related to Infectious Diseases," Working Papers 202181, University of Pretoria, Department of Economics.
• Dean Fantazzini, 2022. "Crypto-Coins and Credit Risk: Modelling and Forecasting Their Probability of Death," JRFM, MDPI, vol. 15(7), pages 1-34, July.
  • Fantazzini, Dean, 2022. "Crypto Coins and Credit Risk: Modelling and Forecasting their Probability of Death," MPRA Paper 113744, University Library of Munich, Germany.
• Gouriéroux, C. & Monfort, A. & Renne, J.-P., 2022. "Required Capital for Long-Run Risks," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
  • Christian Gourieroux & Alain Monfort & Jean-Paul Renne, 2022. "Required Capital for Long-Run Risks," Post-Print hal-03865173, HAL.
• Yuting Chen & Don Bredin & Valerio Potì & Roman Matkovskyy, 2022. "COVID risk narratives: a computational linguistic approach to the econometric identification of narrative risk during a pandemic," Digital Finance, Springer, vol. 4(1), pages 17-61, March.
  • Yuting Chen & Don Bredin & Valerio Potì & Roman Matkovskyy, 2022. "COVID risk narratives: a computational linguistic approach to the econometric identification of narrative risk during a pandemic," Post-Print hal-04021587, HAL.
• Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2022. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Management Science, INFORMS, vol. 68(7), pages 5216-5232, July.
  • Brice Corgnet & Cary Deck & Mark Desantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers halshs-02893291, HAL.
  • Brice Corgnet & Cary Deck & Mark Desantis & David Porter, 2022. "Forecasting Skills in Experimental Market : Illusion or Reality?," Post-Print hal-04325544, HAL.
  • Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 2020, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  • Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 20-27, Chapman University, Economic Science Institute.
• Olivier Dessaint & Thierry Foucault & Laurent Frésard, 2022. "The Horizon of Investors' Information and Corporate Investment," Working Papers hal-03890720, HAL.
  • Olivier Dessaint & Thierry Foucault & Laurent Frésard, 2023. "The Horizon of Investors' Information and Corporate Investment," Swiss Finance Institute Research Paper Series 23-03, Swiss Finance Institute.
• Hans Lööf & Maziar Sahamkhadam & Andreas Stephan, 2023. "Incorporating ESG into Optimal Stock Portfolios for the Global Timber & Forestry Industry," Journal of Forest Economics, now publishers, vol. 38(2), pages 133-157, June.
  • Lööf, Hans & Sahamkhadam, Maziar & Stephan, Andreas, 2022. "Incorporating ESG into optimal stock portfolios for the global timber & forestry industry," Working Paper Series in Economics and Institutions of Innovation 490, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
• Kamil Kladívko & Pär Österholm, 2024. "Analysts versus the random walk in financial forecasting: evidence from the Czech National Bank’s Financial Market Inflation Expectations survey," Applied Economics, Taylor & Francis Journals, vol. 56(17), pages 2077-2088, April.
  • Kladívko, Kamil & Österholm, Pär, 2022. "Analysts versus the Random Walk in Financial Forecasting: Evidence from the Czech National Bank’s Financial Market Inflation Expectations Survey," Working Papers 2022:14, Örebro University, School of Business.
• Bianchi, Daniele & Babiak, Mykola & Dickerson, Alexander, 2022. "Trading volume and liquidity provision in cryptocurrency markets," Journal of Banking & Finance, Elsevier, vol. 142(C).
  • Daniele Bianchi & Mykola Babiak & Alexander Dickerson, 2022. "Trading Volume and Liquidity Provision in Cryptocurrency Markets," CERGE-EI Working Papers wp730, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  • Bianchi, Daniele & Babiak, Mykola & Dickerson, Alexander, 2022. "Trading volume and liquidity provision in cryptocurrency markets," Working Paper Series 413, Sveriges Riksbank (Central Bank of Sweden).
• Alexander Sorokin, 2022. "Modeling of Optimal Credit Limits in Microfinance Organizations," HSE Economic Journal, National Research University Higher School of Economics, vol. 26(2), pages 285-306.
• Watanabe, Toshiaki & Nakajima, Jouchi, 2022. "Realized Volatility: Survey with Application to Nikkei 225 Stock Index," Economic Review, Hitotsubashi University, vol. 73(3), pages 254-280, July.
• Sophia L. Zhou, 2022. "Real Estate Trend Prediction Using Linear Regression And Artificial Neural Network Techniques," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 16(1), pages 1-16.
• Terrance Jalbert & Jonathan D. Stewart, 2022. "A Comprehensive Retirement Financial Planning Tool," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 15(1), pages 47-76.
• Montserrat Reyna Miranda & Ricardo Massa Roldán & Vicente Gómez Salcido, 2022. "Neuro-wavelet Model for price prediction in high-frequency data in the Mexican Stock market," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(1), pages 1-23, Enero - M.
• Nicolás Magner Pulgar & Esteban José Antonio Terán Sánchez & Vicente Alfonso Guzmán Muñoz, 2022. "Stock Market Synchronization and Stock Volatility: The Case of an Emerging Market," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(3), pages 1-22, Julio - S.
• Josh Davis & Alan M. Taylor, 2022. "The Leverage Factor: Credit Cycles and Asset Returns," Management Science, INFORMS, vol. 68(10), pages 7350-7361, October.
  • Josh Davis & Alan M. Taylor, 2019. "The Leverage Factor: Credit Cycles and Asset Returns," NBER Working Papers 26435, National Bureau of Economic Research, Inc.
  • Taylor, Alan M. & Davis, Josh, 2019. "The Leverage Factor: Credit Cycles and Asset Returns," CEPR Discussion Papers 14115, C.E.P.R. Discussion Papers.
• Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2022. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Management Science, INFORMS, vol. 68(7), pages 5216-5232, July.
  • Brice Corgnet & Cary Deck & Mark Desantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers halshs-02893291, HAL.
  • Brice Corgnet & Cary Deck & Mark Desantis & David Porter, 2022. "Forecasting Skills in Experimental Market : Illusion or Reality?," Post-Print hal-04325544, HAL.
  • Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 2020, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  • Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 20-27, Chapman University, Economic Science Institute.
• Tamerlan Mashadihasanli, 2022. "Stock Market Price Forecasting Using the Arima Model: an Application to Istanbul, Turkiye," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 9(2), pages 439-454, July.
• Zongwu Cai & Pixiong Chen, 2022. "New Online Investor Sentiment and Asset Returns," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202216, University of Kansas, Department of Economics, revised Nov 2022.
• William A. Barnett & Kun He & Jingtong He, 2022. "Consumption Loan Augmented Divisia Monetary Index and China Monetary Aggregation," JRFM, MDPI, vol. 15(10), pages 1-17, October.
  • William Barnett & Kun He & Jingtong He, 2022. "Consumption Loan Augmented Divisia Monetary Index and China Monetary Aggregation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202217, University of Kansas, Department of Economics.
• Zongwu Cai & Ted Juhl, 2020. "The Distribution Of Rolling Regression Estimators," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202218, University of Kansas, Department of Economics, revised Dec 2022.
• Muhammad Rehan & Jahanzaib Alvi & Süleyman Serdar Karaca, 2022. "Short Term Stress of Covid-19 on World Major Stock Indices," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(3), pages 527-568, September.
• Matthew Smith & Francisco Alvarez, 2022. "Predicting Firm-Level Bankruptcy in the Spanish Economy Using Extreme Gradient Boosting," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 263-295, January.
• Ryuichi Yamamoto, 2022. "Predictor Choice, Investor Types, and the Price Impact of Trades on the Tokyo Stock Exchange," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 325-356, January.
• Fredj Jawadi & Hachmi Ben Ameur & Stephanie Bigou & Alexis Flageollet, 2022. "Does the Real Business Cycle Help Forecast the Financial Cycle?," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1529-1546, December.
  • Fredj Jawadi & Hachmi Ben Ameur & Stephanie Bigou & Alexis Flageollet, 2021. "Does the Real Business Cycle Help Forecast the Financial Cycle?," Post-Print hal-04478764, HAL.
• Muhammad Niaz Khan & Suzanne G. M. Fifield & Nongnuch Tantisantiwong & David M. Power, 2022. "Changes in co-movement and risk transmission between South Asian stock markets amidst the development of regional co-operation," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(1), pages 87-117, March.
• Francesco Bianchi & Lorenzo Mercuri & Edit Rroji, 2022. "Portfolio Selection with Irregular Time Grids: an example using an ICA-COGARCH(1, 1) approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(1), pages 57-85, March.
• Pavan Kumar Nagula & Christos Alexakis, 2022. "A Novel Machine Learning Approach for Predicting the NIFTY50 Index in India," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 28(3), pages 155-170, November.
• Kexing Ding & Bikki Jaggi, 2022. "CEO career concerns and the precision of management earnings forecasts," Review of Quantitative Finance and Accounting, Springer, vol. 58(1), pages 69-100, January.
• Bruno Deschamps & Tianlun Fei & Ying Jiang & Xiaoquan Liu, 2022. "Procyclical volatility in Chinese stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1117-1144, April.
• Byung Yeon Kim & Heejoon Han, 2022. "Multi-Step-Ahead Forecasting of the CBOE Volatility Index in a Data-Rich Environment: Application of Random Forest with Boruta Algorithm," Korean Economic Review, Korean Economic Association, vol. 38, pages 541-569.
• Andreas Marcus Gohs, 2022. "The Choice of GARCH Models to Forecast Value-at-Risk for Currencies (Euro Exchange Rates), Crypto Assets (Bitcoin and Ethereum), Gold, Silver and Crude Oil: Automated Processes, Statistical Distributi," MAGKS Papers on Economics 202246, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
• John W. Barry & Murillo Campello & John Graham & Yueran Ma, 2022. "Corporate Flexibility in a Time of Crisis," NBER Working Papers 29746, National Bureau of Economic Research, Inc.
• William N. Goetzmann & Akiko Watanabe & Masahiro Watanabe, 2022. "Evidence on Retrieved Context: How History Matters," NBER Working Papers 29849, National Bureau of Economic Research, Inc.
• William N. Goetzmann & Akiko Watanabe & Masahiro Watanabe, 2022. "Cohort Effects on Expected Co-Movement," NBER Working Papers 29949, National Bureau of Economic Research, Inc.
• Nicolas Chatelais & Menzie Chinn & Arthur Stalla-Bourdillon, 2022. "Macroeconomic Forecasting Using Filtered Signals from a Stock Market Cross Section," Working papers 903, Banque de France.
  • Nicolas Chatelais & Arthur Stalla-Bourdillon & Menzie D. Chinn, 2022. "Macroeconomic Forecasting using Filtered Signals from a Stock Market Cross Section," NBER Working Papers 30305, National Bureau of Economic Research, Inc.
• Yacine Aït-Sahalia & Jianqing Fan & Lirong Xue & Yifeng Zhou, 2022. "How and When are High-Frequency Stock Returns Predictable?," NBER Working Papers 30366, National Bureau of Economic Research, Inc.
• Arpit Gupta & Vrinda Mittal & Stijn Van Nieuwerburgh, 2022. "Work From Home and the Office Real Estate Apocalypse," NBER Working Papers 30526, National Bureau of Economic Research, Inc.
• Harrison Hong & Edward P. Shore, 2022. "Corporate Social Responsibility," NBER Working Papers 30771, National Bureau of Economic Research, Inc.
• Fedorova, E. & Pyltsin, I. & Kovalchuk, Yu. & Drogovoz, P., 2022. "News and social networks of Russian companies: Degree of influence on the securities market," Journal of the New Economic Association, New Economic Association, vol. 53(1), pages 32-52.
• Zelenkov, Yu. & Solntsev, I., 2022. "Predicting the value of professional sport clubs. A study of European soccer, 2005-2018," Journal of the New Economic Association, New Economic Association, vol. 56(4), pages 28-46.
• Gunter Löffler, 2022. "Equity Premium Forecasts Tend to Perform Worse Against a Buy-and-Hold Benchmark," Critical Finance Review, now publishers, vol. 11(1), pages 65-77, February.
• Jake Gorman & Farida Akhtar & Robert B. Durand & John Gould, 2022. "It Could Be Overreaction, Not Lottery Seeking, That Is Behind Bali, Cakici and Whitelaw’s Max Effect," Critical Finance Review, now publishers, vol. 11(3-4), pages 647-675, August.
• Petar Rangelov, 2022. "Application of Simulation-based Approach for Determining the Value of Companies Operating in an Environment of Uncertainty," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 111-131, March.
• Yue Qiu & Tian Xie & Jun Yu & Qiankun Zhou, 2022. "Forecasting Equity Index Volatility by Measuring the Linkage among Component Stocks [Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts]," Journal of Financial Econometrics, Oxford University Press, vol. 20(1), pages 160-186.
  • Qiu, Yue & Xie, Tian & Yu, Jun & Zhou, Qiankun, 2019. "Forecasting Equity Index Volatility by Measuring the Linkage among Component Stocks," Economics and Statistics Working Papers 7-2019, Singapore Management University, School of Economics.
• Mathias S Kruttli, 2022. "From Which Consumption-Based Asset Pricing Models Can Investors Profit? Evidence from Model-Based Priors [Are Stocks Riskier over the Long Run? Taking Cues from Economic Theory]," Journal of Financial Econometrics, Oxford University Press, vol. 20(3), pages 539-567.
• Yushuang Jiang & Emese Lazar, 2022. "Forecasting VIX Using Filtered Historical Simulation [A GARCH Option Pricing Model with Filtered Historical Simulation]," Journal of Financial Econometrics, Oxford University Press, vol. 20(4), pages 655-680.
• Yannick Hoga, 2022. "Modeling Time-Varying Tail Dependence, with Application to Systemic Risk Forecasting," Journal of Financial Econometrics, Oxford University Press, vol. 20(5), pages 1007-1037.
• Lynda Khalaf & Arturo Leccadito & Giovanni Urga, 2022. "Multilevel and Tail Risk Management [Backtesting Expected Shortfall]," Journal of Financial Econometrics, Oxford University Press, vol. 20(5), pages 839-874.
• Mikkel Bennedsen & Asger Lunde & Mikko S Pakkanen, 2022. "Decoupling the Short- and Long-Term Behavior of Stochastic Volatility [Multifactor Approximation of Rough Volatility Models]," Journal of Financial Econometrics, Oxford University Press, vol. 20(5), pages 961-1006.
• Thomas Maurer & Thuy-Duong Tô & Ngoc-Khanh Tran, 2022. "Pricing Implications of Covariances and Spreads in Currency Markets [Optimal and naive diversification in currency markets]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 12(1), pages 336-388.
• John Bizjak & Swaminathan Kalpathy & Zhichuan Frank Li & Brian Young, 2022. "The Choice of Peers for Relative Performance Evaluation in Executive Compensation [Peer choice in CEO compensation]," Review of Finance, European Finance Association, vol. 26(5), pages 1217-1239.
• Pedro Barroso & Konark Saxena, 2022. "Lest We Forget: Learn from Out-of-Sample Forecast Errors When Optimizing Portfolios," The Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1222-1278.
• Andrea Buraschi & Ilaria Piatti & Paul Whelan, 2022. "Subjective Bond Returns and Belief Aggregation," The Review of Financial Studies, Society for Financial Studies, vol. 35(8), pages 3710-3741.

2021

• Mikkel Bennedsen & Asger Lunde & Neil Shephard & Almut E.D. Veraart, 2021. "Inference and forecasting for continuous-time integer-valued trawl processes and their use in financial economics," CREATES Research Papers 2021-12, Department of Economics and Business Economics, Aarhus University.
• Rojo-Ramírez, Alfonso A., 2021. "Rendimiento mínimo del inversor-propietario. El caso de la empresa pyme familiar," Small Business International Review, Asociación Española de Contabilidad y Administración de Empresas - AECA, vol. 5(1), pages 287-287, January.
• Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2021. "Superior Predictability of American Factors of the Won/Dollar Real Exchange Rate," Auburn Economics Working Paper Series auwp2021-03, Department of Economics, Auburn University.
  • Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2022. "Superior Predictability of American Factors of the Won/Dollar Real Exchange Rate," Auburn Economics Working Paper Series auwp2022-03, Department of Economics, Auburn University.
• Bogdan Cosmin GOMOI & Mioara Florina PANTEA & Lavinia Denisia CUC, 2021. "Brief Financial Diagnosis of a Transnational Company," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 1(12), pages 19-28, December .
• Elena Cristina DORNEANU, 2021. "Practical Solutions to Increase Business’ Resilience. Diagnostic Analysis of the Company’s Financial Position and Performance," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(10), pages 18-28, October.
• Elena Cristina DORNEANU, 2021. "Practical Solutions to Increase Business’ Resilience. Diagnostic Analysis of the Company’s Financial Position and Performance," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(11), pages 62-72, November.
• Bogdan Cosmin GOMOI & Natalia Ioana PANTELIMON, 2021. "SIG and CAF – Methods of Tracking and Analysing the Financial Performances of Economic Entities," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(1), pages 20-31, January.
• Delia Andreea FLOREA & Diana Iulia OPRIȘ, 2021. "Stock Valuation Methods," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(1), pages 32-38, January.
• Bogdan Cosmin GOMOI, 2021. "Management and Profitability Ratios – The Connection Between the Financial Position and the Performance of the Economic Entities," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(4), pages 39-46, April.
• Bogdan Cosmin GOMOI, 2021. "Study Regarding the Development of an Investment Project. (I) – Identifying the Main Suppliers and Customers," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(5), pages 35-43, May.
• Corina-Graziella BÂTCĂ-DUMITRU & Daniela-Nicoleta SAHLIAN & Cleopatra ȘENDROIU & Ioan-Codruț ȚURLEA, 2021. "Approaches to Setting Sales Prices," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(6), pages 18-25, June.
• Bogdan Cosmin GOMOI, 2021. "Study Regarding the Development of an Investment Project. (II) – Estimating the Cost of Project and Identifying the Main Income and Expense Flows," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(6), pages 26-37, June.
• Corina-Graziella BÂTCĂ-DUMITRU & Daniela-Nicoleta SAHLIAN & Cleopatra ȘENDROIU, 2021. "The Budgetary Management of Sales," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(7), pages 14-24, July.
• Bogdan Cosmin GOMOI, 2021. "Study Regarding the Development of an Investment Project. (III) – Project Evaluation," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(7), pages 25-34, July.
• Bogdan Cosmin GOMOI, 2021. "Short Financial Diagnosis for a Transport Entity," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(8), pages 18-27, August.
• Bogdan Cosmin GOMOI, 2021. "The Financial Analyses of an Entity from the Tourism Field – Between Normality and the COVID-19 Pandemic," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(9), pages 12-21, September.
• Osman Yavuz Akbulut & Ali Hepşen, 2021. "Finansal Performans ve Pay Senedi Getirileri Arasındaki İlişkinin Entropi ve CoCoSo ÇKKV Teknikleriyle Analiz Edilmesi," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 6(3), pages 681-709.
• Leyla Ar & Reşat Sakur, 2021. "Modern Sermaye Yapısı Teorilerinin Geçerliliğinin Test Edilmesi: BIST 30 Endeksi Firmaları Üzerine Bir Araştırma," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 6(3), pages 748-773.
• Beibei Yan & Özgür Arslan-Ayaydin & James Thewissen & Wouter Torsin, 2021. "Does managerial ability affect disclosure? Evidence from earnings press releases," Asian Review of Accounting, Emerald Group Publishing Limited, vol. 29(2), pages 192-226, February.
  • Yan, Beibei & Arslan-Ayaydin, Özgür & Thewissen, James & Torsin, Wouter, 2021. "Does managerial ability affect disclosure? Evidence from earnings press releases," LIDAM Reprints LFIN 2021006, Université catholique de Louvain, Louvain Finance (LFIN).
• Kyle Hampton & Paul Johnson, 2021. "Kaivik: A Free Online Asset Market Cellphone Interface Experiment with Financial Bubbles," Working Papers 2021-04, University of Alaska Anchorage, Department of Economics.
• Olkhov, Victor, 2021. "To VaR, or Not to VaR, That is the Question," MPRA Paper 105458, University Library of Munich, Germany.
  • Victor Olkhov, 2021. "To VaR, or Not to VaR, That is the Question," Papers 2101.08559, arXiv.org, revised Apr 2024.
• Consoli, Sergio & Pezzoli, Luca Tiozzo & Tosetti, Elisa, 2021. "Emotions in macroeconomic news and their impact on the European bond market," Journal of International Money and Finance, Elsevier, vol. 118(C).
  • Sergio Consoli & Luca Tiozzo Pezzoli & Elisa Tosetti, 2021. "Emotions in Macroeconomic News and their Impact on the European Bond Market," Papers 2106.15698, arXiv.org.
• Qihui Chen & Nikolai Roussanov & Xiaoliang Wang, 2021. "Semiparametric Conditional Factor Models: Estimation and Inference," Papers 2112.07121, arXiv.org, revised Sep 2023.
  • Qihui Chen & Nikolai Roussanov & Xiaoliang Wang, 2023. "Semiparametric Conditional Factor Models: Estimation and Inference," NBER Working Papers 31817, National Bureau of Economic Research, Inc.
• Maithili S. Naik & Y.V. Reddy, 2021. "India VIX and Forecasting Ability of Symmetric and Asymmetric GARCH Models," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(3), pages 252-262, March.
• Khatibu Kazungu & John R. Mboya, 2021. "Volatility of Stock Prices in Tanzania: Application of Garch Models to Dar Es Salaam Stock Exchange," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 9(1), pages 15-28, March.
• Osoolian, Mohammad & Koushki, Ali, 2021. "Prediction of Crisis in Tehran Stock Exchange with Entropy and Analyzing the Identified Crises such as Covid-19 (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی Ùˆ بودجه), Institute for Management and Planning studies, vol. 26(2), pages 133-152, September.
• Neluka Devpura, 2021. "Can Oil Prices Predict Japanese Yen?," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 1(3), pages 1-5.
• Afees A. Salisu & Abdulsalam Abidemi Sikiru, 2021. "Pandemics and the Asia-Pacific Islamic Stocks," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 1(1), pages 1-5.
• Manuela Pedio, 2021. "Option-Implied Network Measures of Tail Contagion and Stock Return Predictability," BAFFI CAREFIN Working Papers 21154, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
• Manuela Pedio, 2021. "Option-Implied Network Measures of Tail Contagion and Stock Return Predictability," BAFFI CAREFIN Working Papers 21154, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
• Dariia Vasylieva, 2021. "Corporate Bond Markets In Eastern Europe: Trends And Prospects," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 7(1).
• Rodolfo Méndez-Marcano, 2021. "Global | Modelo vectorial autorregresivo para los tests de estrés de la banca [Global | A vector autoregressive model for banking stress testing]," Working Papers 21/08, BBVA Bank, Economic Research Department.
• Ali CELÝK, 2021. "Volatility of BIST 100 Returns After 2020, Calendar Anomalies and COVID-19 Effect," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 15(1), pages 61-81.
• Roberto Pascual, 2021. "Do analysts forecast differently in periods of uncertainty? An empirical analysis of target prices for Spanish banks," Working Papers 2144, Banco de España.
• Davide Di Zio & Marco Fanari & Simone Letta & Tommaso Perez & Giovanni Secondin, 2021. "The strategic allocation and sustainability of central banks' investment," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems) 14, Bank of Italy, Directorate General for Markets and Payment System.
• Gamboa-Estrada, Fredy & Romero, José Vicente, 2022. "Common and idiosyncratic movements in Latin-American exchange rates," International Economics, Elsevier, vol. 171(C), pages 174-190.
  • Fredy Gamboa-Estrada & José Vicente Romero, 2022. "Common and idiosyncratic movements in Latin-American exchange rates," International Economics, CEPII research center, issue 171, pages 174-190.
  • Fredy Gamboa-Estrada & Jose Vicente Romero, 2021. "Common and idiosyncratic movements in Latin-American Exchange Rates," Borradores de Economia 1158, Banco de la Republica de Colombia.
• Odendahl, Florens & Rossi, Barbara & Sekhposyan, Tatevik, 2023. "Evaluating forecast performance with state dependence," Journal of Econometrics, Elsevier, vol. 237(2).
  • Florens Odendahl & Barbara Rossi & Tatevik Sekhposyan, 2021. "Evaluating forecast performance with state dependence," Economics Working Papers 1800, Department of Economics and Business, Universitat Pompeu Fabra.
  • Florens Odendahl & Barbara Rossi & Tatevik Sekhposyan, 2021. "Evaluating Forecast Performance with State Dependence," Working Papers 1295, Barcelona School of Economics.
• Juselius, Mikael & Tarashev, Nikola A., 2021. "Could corporate credit losses turn out higher than expected?," BoF Economics Review 3/2021, Bank of Finland.
  • Mikael Juselius & Nikola Tarashev, 2021. "Could corporate credit losses turn out higher than expected?," BIS Bulletins 46, Bank for International Settlements.
• Sebastian Doerr & Leonardo Gambacorta & José María Serena Garralda, 2021. "Big data and machine learning in central banking," BIS Working Papers 930, Bank for International Settlements.
• Nguyen Xuan-Huynh & Luu Quoc Chien, 2021. "Performance Measurement of Vietnamese Publishing Firms by the Integration of the GM (1,1) Model and the Malmquist Model," Business Systems Research, Sciendo, vol. 12(1), pages 17-33, May.
• Henry Penikas & Anastasia Skarednova & Mikhail Surkov, 2021. "How Do Investors Prefer Banks to Transit to Basel Internal Models: Mandatorily or Voluntarily?," Bank of Russia Working Paper Series wps74, Bank of Russia.
• J. James Reade & Carl Singleton & Alasdair Brown, 2021. "Evaluating strange forecasts: The curious case of football match scorelines," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(2), pages 261-285, May.
  • J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics Discussion Papers em-dp2019-18, Department of Economics, University of Reading, revised 01 Aug 2020.
• BOTOROGA Cosmin-Alin & HOROBET Alexandra & BELASCU Lucian, 2021. "Assessing Market Risk During Financial Crises - An Applicable Method Of Using Value At Risk And Expected Shortfall In Investments," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 73(3), pages 51-74, October.
• Montagna, Mattia & Torri, Gabriele & Covi, Giovanni, 2020. "On the origin of systemic risk," Working Paper Series 2502, European Central Bank.
  • Montagna, Mattia & Torri, Gabriele & Covi, Giovanni, 2021. "On the origin of systemic risk," Bank of England working papers 906, Bank of England.
• Murphy, David & Vause, Nicholas, 2021. "A CBA of APC: analysing approaches to procyclicality reduction in CCP initial margin models," Bank of England working papers 950, Bank of England.
• Panagiotis Lazaris & Anastasios Petropoulos & Vasileios Siakoulis & Evangelos Stavroulakis & Nikolaos Vlachogiannakis, 2021. "Interest rate pass through in the deposit and loan products provided by Greek banks," Working Papers 287, Bank of Greece.
• Chang Carolyn W. & Feng Yalan, 2021. "Hurricane Bond Price Dependency on Underlying Hurricane Parameters," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 15(1), pages 1-21, January.
• Tripathi Manas & Kumar Saurabh & Inani Sarveshwar Kumar, 2021. "Exchange Rate Forecasting Using Ensemble Modeling for Better Policy Implications," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 43-71, January.
• Otilia P. MANTA, 2021. "The Impact Of Population Financial Indicators On The National Economy," Contemporary Economy Journal, Constantin Brancoveanu University, vol. 6(4), pages 49-59.
• Ding, Y., 2021. "Conditional Heteroskedasticity in the Volatility of Asset Returns," Cambridge Working Papers in Economics 2179, Faculty of Economics, University of Cambridge.
• Ding, Y., 2021. "Conditional Heteroskedasticity in the Volatility of Asset Returns," Janeway Institute Working Papers 2111, Faculty of Economics, University of Cambridge.
• Nenad Milojević & Srdjan Redzepagic, 2021. "Prospects of Artificial Intelligence and Machine Learning Application in Banking Risk Management," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 10(3), pages 41-57.
• Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco C. Sammon, 2021. "What Triggers Stock Market Jumps?," NBER Working Papers 28687, National Bureau of Economic Research, Inc.
  • Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco Sammon, 2021. "What triggers stock market jumps?," CEP Discussion Papers dp1789, Centre for Economic Performance, LSE.
  • Baker, Scott R. & Bloom, Nicholas & Davis, Steven J. & Sammo, Marco C., 2021. "What triggers stock market jumps?," LSE Research Online Documents on Economics 113913, London School of Economics and Political Science, LSE Library.
  • Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco Sammon, 2021. "What triggers stock market jumps?," POID Working Papers 010, Centre for Economic Performance, LSE.
• Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco C. Sammon, 2021. "What Triggers Stock Market Jumps?," NBER Working Papers 28687, National Bureau of Economic Research, Inc.
  • Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco Sammon, 2021. "What triggers stock market jumps?," POID Working Papers 010, Centre for Economic Performance, LSE.
  • Baker, Scott R. & Bloom, Nicholas & Davis, Steven J. & Sammo, Marco C., 2021. "What triggers stock market jumps?," LSE Research Online Documents on Economics 113913, London School of Economics and Political Science, LSE Library.
  • Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco Sammon, 2021. "What triggers stock market jumps?," CEP Discussion Papers dp1789, Centre for Economic Performance, LSE.
• Daniele Bianchi & Mykola Babiak, 2021. "A Factor Model for Cryptocurrency Returns," CERGE-EI Working Papers wp710, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
• Haase, Felix & Neuenkirch, Matthias, 2023. "Predictability of bull and bear markets: A new look at forecasting stock market regimes (and returns) in the US," International Journal of Forecasting, Elsevier, vol. 39(2), pages 587-605.
  • 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 2020-03, University of Trier, Research Group Quantitative Finance and Risk Analysis.
  • Felix Haase & Matthias Neuenkirch, 2021. "Predictability of Bull and Bear Markets: A New Look at Forecasting Stock Market Regimes (and Returns) in the US," CESifo Working Paper Series 8828, CESifo.
  • 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 2020-01, University of Trier, Department of Economics.
• Bakalli, Gaetan & Guerrier, Stéphane & Scaillet, Olivier, 2023. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Journal of Econometrics, Elsevier, vol. 237(2).
  • Gaetan Bakalli & Stéphane Guerrier & Olivier Scaillet, 2021. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Swiss Finance Institute Research Paper Series 21-09, Swiss Finance Institute.
  • Gaetan Bakalli & Stéphane Guerrier & Olivier Scaillet, 2023. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Post-Print hal-04325655, HAL.
  • Gaetan Bakalli & St'ephane Guerrier & Olivier Scaillet, 2022. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Papers 2208.00972, arXiv.org.
• Alexander Wehrli & Didier Sornette, 2021. "Excess financial volatility explained by endogenous excitations revealed by EM calibrations of a generalized Hawkes point process," Swiss Finance Institute Research Paper Series 21-35, Swiss Finance Institute.
• Davide Cividino & Rebecca Westphal & Didier Sornette, 2021. "Multi-asset financial bubbles in an agent-based model with noise traders’ herding described by an n-vector Ising model," Swiss Finance Institute Research Paper Series 21-76, Swiss Finance Institute.
• Dongshuai Zhao, CFA & Didier Sornette, 2021. "Bubbles for Fama from Sornette," Swiss Finance Institute Research Paper Series 21-94, Swiss Finance Institute.
• Damir Filipović & Amir Khalilzadeh, 2021. "Machine Learning for Predicting Stock Return Volatility," Swiss Finance Institute Research Paper Series 21-95, Swiss Finance Institute.
• Yannick Malevergne & Didier Sornette & Ran Wei, 2021. "A model of financial bubbles and drawdowns with non-local behavioral self-referencing," Swiss Finance Institute Research Paper Series 21-96, Swiss Finance Institute.
  • Yannick Malevergne & Didier Sornette & Ran Wei, 2023. "A model of financial bubbles and drawdowns with non-local behavioral self-referencing," Working Papers hal-04012267, HAL.
• Christian Urom & Gideon Ndubuisi & Jude Ozor, 2021. "Economic activity, and financial and commodity markets’ shocks: An analysis of implied volatility indexes," International Economics, CEPII research center, issue 165, pages 51-66.
• Olivier Dessaint & Thierry Foucault & Laurent Fresard, 2024. "Does Alternative Data Improve Financial Forecasting? The Horizon Effect," Journal of Finance, American Finance Association, vol. 79(3), pages 2237-2287, June.
  • Foucault, Thierry & Frésard, Laurent, 2021. "Does Alternative Data Improve Financial Forecasting? The Horizon Effect," CEPR Discussion Papers 15786, C.E.P.R. Discussion Papers.
• Mönch, Emanuel & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," Discussion Papers 25/2021, Deutsche Bundesbank.
  • , & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," CEPR Discussion Papers 16357, C.E.P.R. Discussion Papers.
• Chao, Shih-Kang & Härdle, Wolfgang K. & Yuan, Ming, 2021. "Factorisable Multitask Quantile Regression," Econometric Theory, Cambridge University Press, vol. 37(4), pages 794-816, August.
  • Shih-Kang Chao & Wolfgang K. Härdle & Ming Yuan, 2016. "Factorisable Multi-Task Quantile Regression," SFB 649 Discussion Papers SFB649DP2016-057, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  • Chao, Shih-Kang & Härdle, Wolfgang Karl & Yuan, Ming, 2020. "Factorisable Multitask Quantile Regression," IRTG 1792 Discussion Papers 2020-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Christoffersen, Peter & Fournier, Mathieu & Jacobs, Kris & Karoui, Mehdi, 2021. "Option-Based Estimation of the Price of Coskewness and Cokurtosis Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(1), pages 65-91, February.
  • Peter Christoffersen & Mathieu Fournier & Kris Jacobs & Mehdi Karoui, 2015. "Option-Based Estimation of the Price of Co-Skewness and Co-Kurtosis Risk," CREATES Research Papers 2015-54, Department of Economics and Business Economics, Aarhus University.
• Doan, Minh Phuong & Sercu, Piet, 2021. "Merging One's Way to the Top: AB Inbev versus Heineken," Journal of Wine Economics, Cambridge University Press, vol. 16(1), pages 32-55, February.
• Ali Trabelsi Karoui & Aida Kammoun, 2021. "Exchange Rate Determination: Mixed Microstructural and Macroeconomic Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 11(3), pages 89-106.
• Ikhlaas Gurrib & Firuz Kamalov & Elgilani Elshareif, 2021. "Can the Leading US Energy Stock Prices be Predicted using the Ichimoku Cloud?," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 41-51.
• Evaristo Navarro Manotas & Remedios Pitre Redondo & Janeka L pez Contreras & Meredith Jim nez Cardenas & Hugo Hernandez Palma, 2021. "Renewable Energies and their Advantages for the Sustainability of Companies in the Health Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 531-537.
• Bharat Kumar Meher & Iqbal Thonse Hawaldar & Mathew Thomas Gil & Deebom Zorle Dum, 2021. "Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 489-502.
• Prasad, Mason & Bakry, Walid & Varua, Maria Estela, 2021. "Abnormal volatility in seasoned equity offerings during economic disruptions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
• Filiz, Ibrahim & Judek, Jan René & Lorenz, Marco & Spiwoks, Markus, 2021. "Reducing algorithm aversion through experience," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
• Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
• Amini, Shahram & Elmore, Ryan & Öztekin, Özde & Strauss, Jack, 2021. "Can machines learn capital structure dynamics?," Journal of Corporate Finance, Elsevier, vol. 70(C).
• Georges, Christophre & Pereira, Javier, 2021. "Market stability with machine learning agents," Journal of Economic Dynamics and Control, Elsevier, vol. 122(C).
• Bianchi, Daniele, 2021. "Adaptive expectations and commodity risk premiums," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
• Nyman, Rickard & Kapadia, Sujit & Tuckett, David, 2021. "News and narratives in financial systems: Exploiting big data for systemic risk assessment," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
  • Nyman, Rickard & Kapadia, Sujit & Tuckett, David & Gregory, David & Ormerod, Paul & Smith, Robert, 2018. "News and narratives in financial systems: exploiting big data for systemic risk assessment," Bank of England working papers 704, Bank of England.
• Hasan, Mudassar & Arif, Muhammad & Naeem, Muhammad Abubakr & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Time-frequency connectedness between Asian electricity sectors," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 208-224.
• Lehrer, Steven & Xie, Tian & Zhang, Xinyu, 2021. "Social media sentiment, model uncertainty, and volatility forecasting," Economic Modelling, Elsevier, vol. 102(C).
• Shang, Yuhuang & Zheng, Tingguo, 2021. "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, vol. 95(C), pages 462-472.
• Wen, Danyan & Wang, Yudong & Zhang, Yaojie, 2021. "Intraday return predictability in China’s crude oil futures market: New evidence from a unique trading mechanism," Economic Modelling, Elsevier, vol. 96(C), pages 209-219.
• Hu, Shuowen & Poskitt, D.S. & Zhang, Xibin, 2021. "Bayesian estimation for a semiparametric nonlinear volatility model," Economic Modelling, Elsevier, vol. 98(C), pages 361-370.
• Nonejad, Nima, 2021. "Predicting equity premium using dynamic model averaging. Does the state–space representation matter?," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
• Shu, Min & Song, Ruiqiang & Zhu, Wei, 2021. "The ‘COVID’ crash of the 2020 U.S. Stock market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
• Chen, Zilin & Gang, Jianhua & Qian, Zongxin, 2021. "Stock returns and carry trades," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
• Xu, Yongan & Wang, Jianqiong & Chen, Zhonglu & Liang, Chao, 2021. "Economic policy uncertainty and stock market returns: New evidence," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
• Qiu, Yue, 2021. "Complete subset least squares support vector regression," Economics Letters, Elsevier, vol. 200(C).
• Gross, Christian & Jarmuzek, Mariusz & Pancaro, Cosimo, 2021. "Macro-stress testing dividend income. Evidence from euro area banks," Economics Letters, Elsevier, vol. 201(C).
• Akyildirim, Erdinc & Aysan, Ahmet Faruk & Cepni, Oguzhan & Darendeli, S. Pinar Ceyhan, 2021. "Do investor sentiments drive cryptocurrency prices?," Economics Letters, Elsevier, vol. 206(C).
• Qiu, Yue & Wang, Yifan & Xie, Tian, 2021. "Forecasting Bitcoin realized volatility by measuring the spillover effect among cryptocurrencies," Economics Letters, Elsevier, vol. 208(C).
• Fiorentini, Gabriele & Sentana, Enrique, 2021. "New testing approaches for mean–variance predictability," Journal of Econometrics, Elsevier, vol. 222(1), pages 516-538.
  • Gabriele Fiorentini & Enrique Sentana, 2018. "New Testing Approaches for Mean-Variance Predictability," Working Papers wp2018_1814, CEMFI.
  • Sentana, Enrique & Fiorentini, Gabriele, 2019. "New testing approaches for mean-variance predictability," CEPR Discussion Papers 13426, C.E.P.R. Discussion Papers.
  • Gabriele Fiorentini & Enrique Sentana, 2019. "New testing approaches for mean-variance predictability," Working Paper series 19-01, Rimini Centre for Economic Analysis.
  • Gabriele Fiorentini & Enrique Sentana, 2019. "New testing approaches for mean-variance predictability," Econometrics Working Papers Archive 2019_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
• Jaskowski, Marcin & McAleer, Michael, 2021. "Spurious cross-sectional dependence in credit spread changes," Econometrics and Statistics, Elsevier, vol. 18(C), pages 12-27.
  • Marcin Jaskowski & Michael McAleer, 2018. "Spurious Cross-Sectional Dependence in Credit Spread Changes," Documentos de Trabajo del ICAE 2018-21, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  • Jaskowski, M. & McAleer, M.J., 2018. "Spurious Cross-Sectional Dependence in Credit Spread Changes," Econometric Institute Research Papers EI 208-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
• Leung, Melvern & Li, Youwei & Pantelous, Athanasios A. & Vigne, Samuel A., 2021. "Bayesian Value-at-Risk backtesting: The case of annuity pricing," European Journal of Operational Research, Elsevier, vol. 293(2), pages 786-801.
  • Leung, Melvern & Li, Youwei & Pantelous, Athanasios & Vigne, Samuel, 2019. "Bayesian Value-at-Risk Backtesting: The Case of Annuity Pricing," MPRA Paper 101698, University Library of Munich, Germany.
• Qiu, Yue & Wang, Zongrun & Xie, Tian & Zhang, Xinyu, 2021. "Forecasting Bitcoin realized volatility by exploiting measurement error under model uncertainty," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 179-201.
• Giovannelli, Alessandro & Massacci, Daniele & Soccorsi, Stefano, 2021. "Forecasting stock returns with large dimensional factor models," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 252-269.
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• Pablo Pincheira-Brown & Nicolás Hardy & Cristobal Henrriquez & Ignacio Tapia & Andrea Bentancor, 2023. "Forecasting Base Metal Prices with an International Stock Index," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 73(3), pages 277-302, October.
  • Pincheira, Pablo & Hardy, Nicolas & Bentancor, Andrea & Henriquez, Cristóbal & Tapia, Ignacio, 2021. "Forecasting Base Metal Prices with an International Stock Index," MPRA Paper 107828, University Library of Munich, Germany.
• Sakemoto, Ryuta, 2021. "Economic Evaluation of Cryptocurrency Investment," MPRA Paper 108283, University Library of Munich, Germany.
• Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2021. "Exploring volatility of crude oil intra-day return curves: a functional GARCH-X Model," MPRA Paper 109231, University Library of Munich, Germany.
• Khalid Ahmed Al-Ansari & Ahmet Faruk Aysan, 2021. "More than ten years of Blockchain creation: How did we use the technology and which direction is the research heading? [Plus de dix ans de création Blockchain : Comment avons-nous utilisé la techno," Working Papers hal-03343048, HAL.
  • Al-Ansari, Khalid Ahmed & Aysan, Ahmet Faruk, 2021. "More than ten years of Blockchain creation: How did we use the technology and which direction is the research heading?," MPRA Paper 109720, University Library of Munich, Germany.
• Ahamuefula E. Ogbonna & Olusanya E. Olubusoye, 2021. "Tail Risks and Stock Return Predictability - Evidence From Asia-Pacific," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 2(3), pages 1-6.
  • Ogbonna, Ahamuefula & Olubusoye, Olusanya E, 2021. "Tail Risks and Stock Return Predictability: Evidence From Asia-Pacific," MPRA Paper 109922, University Library of Munich, Germany.
• Astaiza-Gómez, José Gabriel, 2021. "The Effects of Investors' Information Acquisition On Sell-Side Analysts Forecast Bias," MPRA Paper 110059, University Library of Munich, Germany.
• Panagiotis Delis & Stavros Degiannakis & Konstantinos Giannopoulos, 2023. "What Should be Taken into Consideration when Forecasting Oil Implied Volatility Index?," The Energy Journal, , vol. 44(5), pages 231-250, September.
  • Delis, Panagiotis & Degiannakis, Stavros & Giannopoulos, Kostantinos, 2021. "What should be taken into consideration when forecasting oil implied volatility index?," MPRA Paper 110831, University Library of Munich, Germany.
• Stavros Degiannakis, 2022. "Stock market as a nowcasting indicator for real investment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 911-919, August.
  • Degiannakis, Stavros, 2021. "Stock market as a nowcasting indicator for real investment," MPRA Paper 110914, University Library of Munich, Germany.
• Le, Tuan Anh & Dao, Thi Thanh Binh, 2021. "Portfolio optimization under mean-CVaR simulation with copulas on the Vietnamese stock exchange," MPRA Paper 111105, University Library of Munich, Germany.
• Bradrania, Reza & Pirayesh Neghab, Davood, 2021. "State-dependent asset allocation using neural networks," MPRA Paper 115254, University Library of Munich, Germany.
• Riza Demirer & Rangan Gupta & He Li & Yu You, 2021. "Financial Vulnerability and Volatility in Emerging Stock Markets: Evidence from GARCH-MIDAS Models," Working Papers 202112, University of Pretoria, Department of Economics.
• Afees A. Salisu & Rangan Gupta, 2021. "Commodity Prices and Forecastability of South African Stock Returns Over a Century: Sentiments versus Fundamentals," Working Papers 202144, University of Pretoria, Department of Economics.
• Sisa Shiba & Juncal Cunado & Rangan Gupta, 2022. "Predictability of the Realised Volatility of International Stock Markets Amid Uncertainty Related to Infectious Diseases," JRFM, MDPI, vol. 15(1), pages 1-18, January.
  • Sisa Shiba & Juncal Cunado & Rangan Gupta, 2021. "Predictability of the Realised Volatility of International Stock Markets Amid Uncertainty Related to Infectious Diseases," Working Papers 202181, University of Pretoria, Department of Economics.
• Agnieszka Marciniuk, 2021. "Equity Release Contracts with Varying Payments," Prague Economic Papers, Prague University of Economics and Business, vol. 2021(5), pages 552-574.
• Agnieszka Marciniuk, 2021. "Equity Release Contracts with Varying Payments," Prague Economic Papers, Prague University of Economics and Business, vol. 2021(5), pages 552-574.
• Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Extensions to IVX methods of inference for return predictability," Journal of Econometrics, Elsevier, vol. 237(2).
  • Paulo M.M. Rodrigues & Matei Demetrescu, 2021. "Extensions to IVX methods of inference for return predictability," Working Papers w202104, Banco de Portugal, Economics and Research Department.
  • Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo MM & Taylor, AM Robert, 2022. "Extensions to IVX Methods of Inference for Return Predictability," Essex Finance Centre Working Papers 29779, University of Essex, Essex Business School.
• Uddin, Gazi Salah & Tang, Ou & Sahamkhadam, Maziar & Taghizadeh-Hesary, Farhad & Yahya, Muhammad & Cerin, Pontus & Rehme, Jakob, 2021. "Analysis of Forecasting Models in an Electricity Market under Volatility," ADBI Working Papers 1212, Asian Development Bank Institute.
• Garafutdinov, Robert, 2021. "Influence of some ARFIMA model parameters on the accuracy of financial time series forecasting," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 62, pages 85-100.
• Potanin, Bogdan & Trifonov, Juri, 2021. "The influence of investors’ expectations on oil prices," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 76-90.
• Senol, Zekai, 2021. "Volatility Spillover between the Stock Market, Exchange Rates, Interest Rates and CDS Premiums: Evidence from Turkey (Borsa Endeksi, Döviz Kuru, Faiz Oranları ve CDS Primleri Arasındaki Oynaklık Yayıl," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 12(1), pages 111-126, January.
• Dimingo, Roselyn & Muteba Mwamba, John W. & Bonga-Bonga, Lumengo, 2021. "Prediction of Stock Market Direction: Application of Machine Learning Models," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 74(4), pages 499-536.
• Chao YU & Xujie ZHAO, 2021. "Measuring the Jump Risk Contribution under Market Microstructure Noise – Evidence from Chinese Stock Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 32-47, December.
• Seema REHMAN & Saqib SHARIF & Wali ULLAH, 2021. "Higher Realized Moments and Stock Return Predictability," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 48-70, December.
• Daehyeon PARK & Doojin RYU, 2021. "Forecasting Stock Market Dynamics using Bidirectional Long Short-Term Memory," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 22-34, June.
• Fiza QURESHI & Saba QURESHI & Sobia Shafaq SHAH, 2021. "Do Mutual Fund Flows Influence Stock Market Volatility? Further Evidence from Emerging Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 35-51, June.
• L. El’shin A. & V. Banderov V. & A. Abdukaeva A. & Л. Ельшин А. & В. Бандеров В. & А. Абдукаева А., 2021. "Методика оценки влияния диффузии блокчейн-технологий на развитие национальной экономической системы (на примере экономики РФ) // Methodology for Assessing the Impact of the Diffusion of blockchain Tec," 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, vol. 25(2), pages 145-165.
• I. Yakovenko V. & И. Яковенко В., 2021. "Математические модели реализации концепции жестких бюджетных ограничений в бюджетной системе // Mathematical Models for Implementation of the Concept of Hard budget Restrictions in the budgetary syste," 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, vol. 25(3), pages 6-19.
• Reyes García, Nallely Jacqueline & Venegas Martínez, Francisco & Martínez Palacios, María Teresa Verónica, 2021. "Análisis comparativo entre el modelo ARMA y su versión continua CARMA sobre la dinámica del Índice de Precios y Cotizaciones de la Bolsa Mexicana de Valores / Comparative analysis between the ARMA mod," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 11(1), pages 33-57, enero-jun.
• López Malpica, Gustavo & Hoyos Reyes, Luis Fernando & Rodríguez Benavides, Domingo & Mora Gutiérrez, Roman Anselmo, 2021. "Técnicas metaheurísticas para pronosticar el tipo de cambio del dólar de Estados Unidos con respecto al peso mexicano / Adaptation of Metaheuristic Techniques to Forecast the USD Dollar-MXN Peso Excha," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 11(2), pages 147-172, julio-dic.
• Mendez Molina, Maivelin & Olivares Aguayo, Héctor Alonso & Andrade Rosas, Luis Antonio, 2021. "Portafolios de volatilidad con opciones financieras. Un análisis por series de tiempo para las empresas BIMBO y HERDEZ del sector de alimentos de la BMV / Volatility Portfolios with Financial Options.," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 11(2), pages 173-208, julio-dic.
• Kamil Polak, 2021. "The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock Market," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 2(16), pages 72-90, December.
• Eryk Bobowski, 2021. "Modele dyskryminacyjne jako narzedzie oceny zagrozenia upadloscia przemyslowych grup kapitalowych – sektor chemiczny (Discriminatory models as a tool for bankruptcy risk assessment industrial capital ," Research Reports, University of Warsaw, Faculty of Management, vol. 1(34), pages 44-60.
• Chaeshick Chung & Sukjin Park, 2021. "Deep Learning Market Microstructure: Dual-Stage Attention-Based Recurrent Neural Networks," Working Papers 2108, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
• Alessia Naccarato & Andrea Pierini & Giovanna Ferraro, 2021. "Markowitz portfolio optimization through pairs trading cointegrated strategy in long-term investment," Annals of Operations Research, Springer, vol. 299(1), pages 81-99, April.
• Alessandra Cretarola & Gianna Figà-Talamanca, 2021. "Detecting bubbles in Bitcoin price dynamics via market exuberance," Annals of Operations Research, Springer, vol. 299(1), pages 459-479, April.
• David Volkmann, 2021. "Explaining S&P500 option returns: an implied risk-adjusted approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(2), pages 665-685, June.
• Vikram Ojha & JeongHoe Lee, 2021. "Default analysis in mortgage risk with conventional and deep machine learning focusing on 2008–2009," Digital Finance, Springer, vol. 3(3), pages 249-271, December.
• Alain Kabundi & Asithandile Mbelu, 2021. "Estimating a time-varying financial conditions index for South Africa," Empirical Economics, Springer, vol. 60(4), pages 1817-1844, April.
  • Alain Kabundi & Asi Mbelu, 2017. "Estimating a timevarying financial conditions index for South Africa," Working Papers 8008, South African Reserve Bank.
• Nima Nonejad, 2021. "Using the conditional volatility channel to improve the accuracy of aggregate equity return predictions," Empirical Economics, Springer, vol. 61(2), pages 973-1009, August.
• Yoichi Tsuchiya, 2021. "Crises, market shocks, and herding behavior in stock price forecasts," Empirical Economics, Springer, vol. 61(2), pages 919-945, August.
• Serdar Neslihanoglu & Stelios Bekiros & John McColl & Duncan Lee, 2021. "Multivariate time-varying parameter modelling for stock markets," Empirical Economics, Springer, vol. 61(2), pages 947-972, August.
• Ahmet Akca & Ethem Çanakoğlu, 2021. "Adaptive stochastic risk estimation of firm operating profit," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(3), pages 463-504, September.
• Helder Sebastião & Pedro Godinho, 2021. "Forecasting and trading cryptocurrencies with machine learning under changing market conditions," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-30, December.
• David Y. Aharon & Zaghum Umar & Xuan Vinh Vo, 2021. "Dynamic spillovers between the term structure of interest rates, bitcoin, and safe-haven currencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-25, December.
• Darko B. Vukovic & Carlos J. Rincon & Moinak Maiti, 2021. "Price distortions and municipal bonds premiums: evidence from Switzerland," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-21, December.
• Melisa Ozdamar & Levent Akdeniz & Ahmet Sensoy, 2021. "Lottery-like preferences and the MAX effect in the cryptocurrency market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
• Rama K. Malladi & Prakash L. Dheeriya, 2021. "Time series analysis of Cryptocurrency returns and volatilities," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(1), pages 75-94, January.
• Jose I. Alvarado & Lindsay C. Clark & Jose A. Gutierrez, 2021. "Stock performance subsequent to combinations in quarterly revenue surprise, earnings surprise, guidance, valuation, and report time," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(1), pages 95-117, January.
• Yuanyuan (Catherine) Chen, 2021. "Empirical analysis of bitcoin price," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(4), pages 692-715, October.
• Parthajit Kayal & Sumanjay Dutta & Vipul Khandelwal & Rakesh Nigam, 2021. "Information Theoretic Ranking of Extreme Value Returns," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 1-21, March.
• Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
• Mitja Steinbacher & Matthias Raddant & Fariba Karimi & Eva Camacho Cuena & Simone Alfarano & Giulia Iori & Thomas Lux, 2021. "Advances in the agent-based modeling of economic and social behavior," SN Business & Economics, Springer, vol. 1(7), pages 1-24, July.
  • Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
• Nikolaos Stoupos & Apostolos Kiohos, 2021. "BREXIT referendum’s impact on the financial markets in the UK," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(1), pages 1-19, February.
• Yu-Min Lian & Chia-Hsuan Li & Yi-Hsuan Wei, 2021. "Machine Learning and Time Series Models for VNQ Market Predictions," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(5), pages 1-2.
• Anne Opschoor & André Lucas & István Barra & Dick van Dijk, 2021. "Closed-Form Multi-Factor Copula Models With Observation-Driven Dynamic Factor Loadings," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(4), pages 1066-1079, October.
  • Anne Opschoor & André Lucas & Istvan Barra & Dick van Dijk, 2019. "Closed-Form Multi-Factor Copula Models with Observation-Driven Dynamic Factor Loadings," Tinbergen Institute Discussion Papers 19-013/IV, Tinbergen Institute, revised 23 Oct 2019.
• Gonçalo Faria & Fabio Verona, 2021. "Time-frequency forecast of the equity premium," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2119-2135, December.
  • Faria, Gonçalo & Verona, Fabio, 2020. "Time-frequency forecast of the equity premium," Bank of Finland Research Discussion Papers 6/2020, Bank of Finland.
• Guglielmo Maria Caporale & Alex Plastun & Viktor Oliinyk, 2021. "The frequency of one-day abnormal returns and price fluctuations in the forex," Journal of Applied Economics, Taylor & Francis Journals, vol. 24(1), pages 401-415, January.
  • Guglielmo Maria Caporale & Alex Plastun & Viktor Oliinyk, 2020. "The Frequency of One-Day Abnormal Returns and Price Fluctuations in the FOREX," CESifo Working Paper Series 8196, CESifo.
• Andre Lucas & Anne Opschoor & Luca Rossini, 2021. "Tail Heterogeneity for Dynamic Covariance Matrices: the F-Riesz Distribution," Tinbergen Institute Discussion Papers 21-010/III, Tinbergen Institute, revised 11 Jul 2023.
• Martin Llada, 2021. "Relationship between country risk volatility and indices based on unstructured information," Estudios de Economia, University of Chile, Department of Economics, vol. 48(2 Year 20), pages 175-218, December.
• Mubarok, Faizul & Al Arif, Mohammad Nur Rianto, 2021. "Pandemic Attack and Islamic Stocks Index: A Cross Country Analysis," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 55(1), pages 27-37.
• Ming, Kelvin Lee Yong & Jais, Mohamad, 2021. "Effectiveness of Moving Average Rules During COVID-19 Pandemic: Evidence from Malaysian Stock Market," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 55(1), pages 87-98.
• Hossain, Md. Jamal & Akter, Sadia & Ismail, Mohd Tahir, 2021. "Performance Analysis of GARCH Family Models in Three Time-frames," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 55(2), pages 15-28.
• Odendahl, Florens & Rossi, Barbara & Sekhposyan, Tatevik, 2023. "Evaluating forecast performance with state dependence," Journal of Econometrics, Elsevier, vol. 237(2).
  • Florens Odendahl & Barbara Rossi & Tatevik Sekhposyan, 2021. "Evaluating Forecast Performance with State Dependence," Working Papers 1295, Barcelona School of Economics.
  • Florens Odendahl & Barbara Rossi & Tatevik Sekhposyan, 2021. "Evaluating forecast performance with state dependence," Economics Working Papers 1800, Department of Economics and Business, Universitat Pompeu Fabra.
• Ristić Kristijan & Jemović Mirjana, 2021. "Analysis of Non-Performing Loans’ Determinants in the Banking Sector of the Republic of Serbia," Economic Themes, Sciendo, vol. 59(1), pages 133-151, March.
• Habibi Reza, 2021. "Application of Predictive Methods to Financial Data Sets," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 17(1), pages 50-61, March.
• Habibi Reza, 2021. "Bayesian Online Change Point Detection in Finance," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 17(4), pages 27-33, December.
• Pilch Bartłomiej, 2021. "An Analysis of the Effectiveness of Bankruptcy Prediction Models – an Industry Approach," Folia Oeconomica Stetinensia, Sciendo, vol. 21(2), pages 76-96, December.
• Sika Peter & Vidová Jarmila, 2021. "Reality and expectations of old-age pension savings in the pension system of the Slovak Republic," Review of Economic Perspectives, Sciendo, vol. 21(4), pages 411-436, December.
• Ceylan Nesrin & Münyas Turgay, 2021. "An Empirical Investigation on the Relationship Between the Eurozone Zew Index and the Eurozone Stock Markets," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 31(4), pages 1-17, December.
• Reinhard Ellwanger, Stephen Snudden, 2021. "Predictability of Aggregated Time Series," LCERPA Working Papers bm0127, Laurier Centre for Economic Research and Policy Analysis.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2021. "No‐arbitrage priors, drifting volatilities, and the term structure of interest rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 495-516, August.
  • Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2014. "No Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates," CEPR Discussion Papers 9848, C.E.P.R. Discussion Papers.
  • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "No-Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates," Working Papers 20-27, Federal Reserve Bank of Cleveland.
• Janis Becker & Christian Leschinski, 2021. "Estimating the volatility of asset pricing factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 269-278, March.
  • Becker, Janis & Leschinski, Christian, 2018. "Estimating the Volatility of Asset Pricing Factors," Hannover Economic Papers (HEP) dp-631, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
• Hyeongwoo Kim & Wen Shi, 2021. "Forecasting financial vulnerability in the USA: A factor model approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 439-457, April.
  • Hyeongwoo Kim & Wen Shi, 2016. "Forecasting Financial Vulnerability in the US: A Factor Model Approach," Auburn Economics Working Paper Series auwp2016-15, Department of Economics, Auburn University.
  • Hyeongwoo Kim & Wen Shi, 2020. "Forecasting Financial Vulnerability in the US: A Factor Model Approach," Auburn Economics Working Paper Series auwp2020-04, Department of Economics, Auburn University.
  • Kim, Hyeongwoo & Shi, Wen, 2018. "Forecasting Financial Vulnerability in the US: A Factor Model Approach," MPRA Paper 89766, University Library of Munich, Germany.
  • Hyeongwoo Kim & Wen Shi, 2018. "Forecasting Financial Vulnerability in the US: A Factor Model Approach," Auburn Economics Working Paper Series auwp2018-07, Department of Economics, Auburn University.
• Gregor Semieniuk & Emanuele Campiglio & Jean‐Francois Mercure & Ulrich Volz & Neil R. Edwards, 2021. "Low‐carbon transition risks for finance," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(1), January.
  • Gregor Semieniuk & Emanuele Campiglio & Jean-Francois Mercure & Ulrich Volz & Neil R. Edwards, 2020. "Low-carbon transition risks for finance," Working Papers 233, Department of Economics, SOAS University of London, UK.
• Garg, Karan, 2021. "Machines and Markets : Assessing the Impact of Algorithmic Trading on Financial Market Efficiency," Warwick-Monash Economics Student Papers 11, Warwick Monash Economics Student Papers.
• Mikael Juselius & Nikola Tarashev, 2021. "Could corporate credit losses turn out higher than expected?," BIS Bulletins 46, Bank for International Settlements.
  • Juselius, Mikael & Tarashev, Nikola A., 2021. "Could corporate credit losses turn out higher than expected?," BoF Economics Review 3/2021, Bank of Finland.
• Barasinska, Nataliya & Ludwig, Johannes & Vogel, Edgar, 2021. "The impact of borrower-based instruments on household vulnerability in Germany," Discussion Papers 20/2021, Deutsche Bundesbank.
• , & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," CEPR Discussion Papers 16357, C.E.P.R. Discussion Papers.
  • Mönch, Emanuel & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," Discussion Papers 25/2021, Deutsche Bundesbank.
• Memmel, Christoph & Roling, Christoph, 2021. "Risks in domestic banks' corporate lending business," Technical Papers 08/2021, Deutsche Bundesbank.
• Memmel, Christoph & Roling, Christoph, 2021. "Risiken im Unternehmenskreditgeschäft inländischer Banken [Risks in domestic banks' corporate lending business]," Technical Papers 08/2021, Deutsche Bundesbank.
• Chabi-Yo, Fousseni & Huggenberger, Markus & Weigert, Florian, 2021. "Multivariate crash risk," CFR Working Papers 21-07, University of Cologne, Centre for Financial Research (CFR).
• Lyócsa, Štefan & Baumöhl, Eduard & Výrost, Tomáš, 2022. "YOLO trading: Riding with the herd during the GameStop episode," Finance Research Letters, Elsevier, vol. 46(PA).
  • Lyócsa, Štefan & Baumöhl, Eduard & Vŷrost, Tomáš, 2021. "YOLO trading: Riding with the herd during the GameStop episode," EconStor Preprints 230679, ZBW - Leibniz Information Centre for Economics.
• Virla, Leonardo Quero, 2021. "An empirical characterization of volatility dynamics in the DAX," IPE Working Papers 167/2021, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
• Klein, Tony, 2021. "Agree to Disagree? Predictions of U.S. Nonfarm Payroll Changes between 2008 and 2020 and the Impact of the COVID19 Labor Shock," QBS Working Paper Series 2021/07, Queen's University Belfast, Queen's Business School.
• Flögel, Volker & Schlag, Christian & Zunft, Claudia, 2021. "Momentum-managed equity factors," SAFE Working Paper Series 317, Leibniz Institute for Financial Research SAFE.
• Gianluca Anese & Marco Corazza & Michele Costola & Loriana Pelizzon, 2023. "Impact of public news sentiment on stock market index return and volatility," Computational Management Science, Springer, vol. 20(1), pages 1-36, December.
  • Anese, Gianluca & Corazza, Marco & Costola, Michele & Pelizzon, Loriana, 2021. "Impact of public news sentiment on stock market index return and volatility," SAFE Working Paper Series 322, Leibniz Institute for Financial Research SAFE.
• Brückbauer, Frank & Schröder, Michael, 2021. "Data resource profile: The ZEW FMS dataset," ZEW Discussion Papers 21-100, ZEW - Leibniz Centre for European Economic Research.

2020

• 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, vol. 0(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, vol. 21(1), pages 4-12, February.
• Lars Kaiser, 2020. "ESG integration: value, growth and momentum," Journal of Asset Management, Palgrave Macmillan, vol. 21(1), pages 32-51, February.
• Tobias Götze & Marc Gürtler & Eileen Witowski, 2020. "Improving CAT bond pricing models via machine learning," Journal of Asset Management, Palgrave Macmillan, vol. 21(5), pages 428-446, September.
• Stefano Zedda & Simone Sbaraglia, 2020. "Which interbank net is the safest?," Risk Management, Palgrave Macmillan, vol. 22(1), pages 65-82, March.
• Andrés Berenguer & Luis Gandarias & Álvaro Arévalo, 2020. "Singular spectrum analysis for modelling the hard-to-model risk factors," Risk Management, Palgrave Macmillan, vol. 22(3), pages 178-191, September.
• 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, vol. 15(2), pages 253-273, June.
• Grilli, Luca & Santoro, Domenico, 2020. "How Boltzmann Entropy Improves Prediction with LSTM," MPRA Paper 100578, University Library of Munich, Germany.
• 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 101057, University Library of Munich, Germany.
• Rashid, Muhammad Mustafa, 2020. "The Greek Letters. Scenario Analysis with a Reverse Butterfly Spread," MPRA Paper 101723, University Library of Munich, Germany, revised 19 May 2020.
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• 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, vol. 38(3), pages 662-678, July.
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• Luiz Félix & Roman Kräussl & Philip Stork, 2020. "Implied volatility sentiment: a tale of two tails," Quantitative Finance, Taylor & Francis Journals, vol. 20(5), pages 823-849, May.
  • Felix, Luiz & Kräussl, Roman & Stork, Philip, 2017. "Implied volatility sentiment: A tale of two tails," CFS Working Paper Series 565, Center for Financial Studies (CFS).
  • Philip Stork & Luiz Felix & Roman Kraussl, 2017. "Implied Volatility Sentiment: A Tale of Two Tails," Tinbergen Institute Discussion Papers 17-002/IV, Tinbergen Institute, revised 26 Jan 2018.
• 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), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 13(3), pages 56-69, December.
• Haase, Felix & Neuenkirch, Matthias, 2023. "Predictability of bull and bear markets: A new look at forecasting stock market regimes (and returns) in the US," International Journal of Forecasting, Elsevier, vol. 39(2), pages 587-605.
  • 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 2020-01, University of Trier, Department of Economics.
  • 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 2020-03, University of Trier, Research Group Quantitative Finance and Risk Analysis.
  • Felix Haase & Matthias Neuenkirch, 2021. "Predictability of Bull and Bear Markets: A New Look at Forecasting Stock Market Regimes (and Returns) in the US," CESifo Working Paper Series 8828, CESifo.
• Dennis Umlandt, 2020. "Likelihood-based Dynamic Asset Pricing: Learning Time-varying Risk Premia from Cross-Sectional Models," Working Paper Series 2020-06, University of Trier, Research Group Quantitative Finance and Risk Analysis.
• Haase, Felix & Neuenkirch, Matthias, 2023. "Predictability of bull and bear markets: A new look at forecasting stock market regimes (and returns) in the US," International Journal of Forecasting, Elsevier, vol. 39(2), pages 587-605.
  • 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 2020-03, University of Trier, Research Group Quantitative Finance and Risk Analysis.
  • Felix Haase & Matthias Neuenkirch, 2021. "Predictability of Bull and Bear Markets: A New Look at Forecasting Stock Market Regimes (and Returns) in the US," CESifo Working Paper Series 8828, CESifo.
  • 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 2020-01, University of Trier, Department of Economics.
• Tae-Hwy Lee & Ekaterina Seregina, 2024. "Optimal Portfolio Using Factor Graphical Lasso," Journal of Financial Econometrics, Oxford University Press, vol. 22(3), pages 670-695.
  • Tae-Hwy Lee & Ekaterina Seregina, 2020. "Optimal Portfolio Using Factor Graphical Lasso," Papers 2011.00435, arXiv.org, revised Apr 2023.
  • Tae-Hwy Lee & Ekaterina Seregina, 2023. "Optimal Portfolio Using Factor Graphical Lasso," Working Papers 202302, University of California at Riverside, Department of Economics.
  • Tae-Hwy Lee & Ekaterina Seregina, 2020. "Optimal Portfolio Using Factor Graphical Lasso," Working Papers 202025, University of California at Riverside, Department of Economics.
• 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 2020-09, University of Connecticut, Department of Economics.
• Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2023. "A Hybrid ARFIMA Wavelet Artificial Neural Network Model for DJIA Index Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1801-1843, December.
  • Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2020. "Hybrid ARFIMA Wavelet Artificial Neural Network Model for DJIA Index Forecasting," Working Papers 202056, University of Pretoria, Department of Economics.
  • Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2020. "Hybrid ARFIMA Wavelet Artificial Neural Network Model for DJIA Index Forecasting," Working papers 2020-10, University of Connecticut, Department of Economics.
• 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, vol. 11(5), pages 17-28, November.
• 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.
• 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.
• Jerić Silvija Vlah, 2020. "Comparing classification algorithms for prediction on CROBEX data," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(2), pages 4-11, December.
• Jerić Silvija Vlah, 2020. "Comparing classification algorithms for prediction on CROBEX data," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(2), pages 4-11, December.
• Homa Magdalena, 2020. "Mathematical Reserves vs Longevity Risk in Life Insurances," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 24(1), pages 23-38, March.
• 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, vol. 6(1), pages 46-81, March.
  • Michał Latoszek & Robert Ślepaczuk, 2019. "Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor," Working Papers 2019-14, Faculty of Economic Sciences, University of Warsaw.
• 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, vol. 20(1), pages 221-231, June.
• Krupa Tadeusz, 2020. "Virtual Center for the Paradigmatic Studies," Foundations of Management, Sciendo, vol. 12(1), pages 181-192, January.
• Krupa Tadeusz, 2020. "Virtual Center for the Paradigmatic Studies," Foundations of Management, Sciendo, vol. 12(1), pages 181-192, January.
• 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, vol. 28(1), pages 100-111, March.
• Oleh Bilyk & Paweł Sakowski & Robert Ślepaczuk, 2020. "Investing in VIX futures based on rolling GARCH models forecasts," Working Papers 2020-10, Faculty of Economic Sciences, University of Warsaw.
• Paweł Sakowski & Anna Turovtseva, 2020. "Verification of Investment Opportunities on the Cryptocurrency Market within the Markowitz Framework," Working Papers 2020-41, Faculty of Economic Sciences, University of Warsaw.
• Paweł Sakowski & Daria Turovtseva, 2020. "Does Bitcoin Improve Investment Portfolio Efficiency?," Working Papers 2020-42, Faculty of Economic Sciences, University of Warsaw.
• 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., vol. 35(4), pages 410-421, June.
  • Beckmann, J & Koop, G & Korobilis, D & Schüssler, R, 2017. "Exchange rate predictability and dynamic Bayesian learning," Essex Finance Centre Working Papers 20781, University of Essex, Essex Business School.
  • Schüssler, Rainer & Beckmann, Joscha & Koop, Gary & Korobilis, Dimitris, 2018. "Exchange rate predictability and dynamic Bayesian learning," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181523, Verein für Socialpolitik / German Economic Association.
• 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., vol. 39(2), pages 126-142, March.
  • Nguyen, Duc Khuong & Walther, Thomas, 2017. "Modeling and forecasting commodity market volatility with long-term economic and financial variables," MPRA Paper 84464, University Library of Munich, Germany, revised Jan 2018.
  • Thomas Walther & Duc Khuong Nguyen, 2018. "Modeling and Forecasting Commodity Market Volatility with Long-term Economic and Financial Variables," Working Papers on Finance 1824, University of St. Gallen, School of Finance.
• Andrea Bucci, 2020. "Cholesky–ANN models for predicting multivariate realized volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 865-876, September.
  • Bucci, Andrea, 2019. "Cholesky-ANN models for predicting multivariate realized volatility," MPRA Paper 95137, University Library of Munich, Germany.
• John B Guerard & William T Ziemba (ed.), 2020. "Handbook of Applied Investment Research," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 11727, September.
• 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, September.
• John B. Guerard Jr. & William T. Ziemba, 2020. "Introduction," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 1, pages xxix-lii, World Scientific Publishing Co. Pte. Ltd..
• William T. Ziemba, 2020. "The Five Investor Camps that Try to Beat the Stock Market," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 2, pages 3-16, World Scientific Publishing Co. Pte. Ltd..
• 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, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 3, pages 17-40, World Scientific Publishing Co. Pte. Ltd..
  • Bloch, M. & Guerard, J. & Markowitz, H. & Todd, P. & Xu, G., 1993. "A comparison of some aspects of the U.S. and Japanese equity markets," Japan and the World Economy, Elsevier, vol. 5(1), pages 3-26, May.
• Leonard C. MacLean & Michael E. Foster & William T. Ziemba, 2020. "Covariance complexity and rates of return on assets," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 4, pages 41-61, World Scientific Publishing Co. Pte. Ltd..
• 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, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 5, pages 63-73, World Scientific Publishing Co. Pte. Ltd..
• 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, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 6, pages 75-85, World Scientific Publishing Co. Pte. Ltd..
• 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, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 7, pages 87-126, World Scientific Publishing Co. Pte. Ltd..
• Brian Bruce & Douglas Stark, 2020. "The Hillcrest Management Sentiment Indicator," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 8, pages 127-140, World Scientific Publishing Co. Pte. Ltd..
• William T. Ziemba, 2020. "Seasonality Effects In Japanese Futures Markets," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 9, pages 143-171, World Scientific Publishing Co. Pte. Ltd..
• 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, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 10, pages 173-186, World Scientific Publishing Co. Pte. Ltd..
• William T. Ziemba, 2020. "Japanese security market regularities: Monthly, turn-of-the-month and year, holiday and golden week effects," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 11, pages 187-214, World Scientific Publishing Co. Pte. Ltd..
• William T. Ziemba, 2020. "World wide security market regularities," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 12, pages 215-246, World Scientific Publishing Co. Pte. Ltd..
• Constantine Dzhabarov & Alexandre Ziegler & William T. Ziemba, 2020. "Sell-in-May-and-Go-Away: The International Evidence," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 13, pages 247-280, World Scientific Publishing Co. Pte. Ltd..
• Blair Hull & Petra Bakosova & Alexander Kment, 2020. "Seasonal Effects, Trends and Pre-Announcement Drifts: Turning Anomalies into Investment Strategies," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 14, pages 281-321, World Scientific Publishing Co. Pte. Ltd..
• Sebastien Lleo & William T Ziemba, 2020. "Stock Market Crashes in 2006–2009: Were We Able to Predict Them?," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 15, pages 323-353, World Scientific Publishing Co. Pte. Ltd..
• J. B. Guerard Jr. & S. T. Rachev & B. P. Shao, 2020. "Efficient global portfolios: Big data and investment universes," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 16, pages 357-367, World Scientific Publishing Co. Pte. Ltd..
• 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, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 17, pages 369-415, World Scientific Publishing Co. Pte. Ltd..
• Chong Li & Edward Tower & Rhona Zhang, 2020. "Alternative Measures of Mutual Fund Performance: Ranking DFA, Fidelity, and Vanguard," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 18, pages 417-476, World Scientific Publishing Co. Pte. Ltd..
• Boryana Racheva-Iotova, 2020. "Wealth Management Next Frontiers — The Inevitable Need to Meet Behavioral and Quantitative Approaches," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 19, pages 479-509, World Scientific Publishing Co. Pte. Ltd..
• Foteini Kyriazi & Dimitrios D. Thomakos, 2020. "Foreign Exchange Rate Predictability: Seek and Ye Shall Find It," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 20, pages 511-556, World Scientific Publishing Co. Pte. Ltd..
• Tim Leung & Brian Ward, 2020. "Tracking VIX with VIX Futures: Portfolio Construction and Performance," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 21, pages 557-596, World Scientific Publishing Co. Pte. Ltd..
  • Tim Leung & Brian Ward, 2019. "Tracking VIX with VIX Futures: Portfolio Construction and Performance," Papers 1907.00293, arXiv.org.
• Barret Pengyuan Shao, 2020. "Long-Memory Processes in High-Frequency Foreign Exchange and U.S. Equity Market," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 22, pages 597-620, World Scientific Publishing Co. Pte. Ltd..
• William T. Ziemba, 2020. "Arbitrage and Risk Arbitrage in the Nikkei Put Warrant Market," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 23, pages 621-633, World Scientific Publishing Co. Pte. Ltd..
• William T. Ziemba & S. Lleo & M. Zhitlukhin, 2020. "A Stopping Rule Model for Exiting Bubble-like Markets with Applications," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 24, pages 635-659, World Scientific Publishing Co. Pte. Ltd..
  • William T. Ziemba & Sebastien Lleo & Mikhail Zhitlukhin, 2017. "A Stopping Rule Model for Exiting Bubble-like Markets with Applications," World Scientific Book Chapters, in: STOCK MARKET CRASHES Predictable and Unpredictable and What To Do About Them, chapter 9, pages 209-233, World Scientific Publishing Co. Pte. Ltd..
• H. D. Vinod, 2020. "Econometric Tools for Stress Testing Using Time Heterogeneity and Maximum Entropy," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 25, pages 661-690, World Scientific Publishing Co. Pte. Ltd..
• H. D. Vinod & John B. Guerard Jr., 2020. "Causality Studies of Real GDP, Unemployment, and Leading Indicators," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 26, pages 691-724, World Scientific Publishing Co. Pte. Ltd..
• 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, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 27, pages 725-741, World Scientific Publishing Co. Pte. Ltd..
• Chern Lu, 2020. "The Overview of WTI Crude Oil Futures’ Epic Fall," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 1, pages 3-49, World Scientific Publishing Co. Pte. Ltd..
• 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, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 2, pages 51-67, World Scientific Publishing Co. Pte. Ltd..
• James Zhan, 2020. "Impact of Negative Oil Price on Risk Measuring," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 3, pages 69-83, World Scientific Publishing Co. Pte. Ltd..
• 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, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 4, pages 85-101, World Scientific Publishing Co. Pte. Ltd..
• Chenghu Ma & Xianzhen Wang, 2020. "Why Oil Prices Plunged and Settled Negative: A Game-Theoretical Perspective," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 5, pages 105-130, World Scientific Publishing Co. Pte. Ltd..
• Cong Sui & Mo Yang, 2020. "Tanker Shipping and Negative Oil Prices: More Than Just the Freight Rates," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 6, pages 131-146, World Scientific Publishing Co. Pte. Ltd..
• Henry Yang, 2020. "Option Pricing with Shifted Lognormal Model for Negative Oil Prices," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 7, pages 147-153, World Scientific Publishing Co. Pte. Ltd..
• Bin Zhu, 2020. "The Paradox of Negative Oil Prices," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 8, pages 155-162, World Scientific Publishing Co. Pte. Ltd..
• Michael Peng, 2020. "The Challenges of Negative Oil Future Price Posed to Risk Managers and Quants," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 9, pages 165-195, World Scientific Publishing Co. Pte. Ltd..
• Weiping Li, 2020. "Negative Asset Pricing and Moral Hazard," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 10, pages 197-214, World Scientific Publishing Co. Pte. Ltd..
• You Zhang & Lingtong (Stanley) Meng, 2020. "The Bachelier Model: Option Pricing with Negative Strike and Asset Price," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 11, pages 215-222, World Scientific Publishing Co. Pte. Ltd..
• Yali Chang & Jianwu Lin & Chengying He, 2020. "Blockchain-based Options for Physical Settlement of Commodity Futures," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 12, pages 223-251, World Scientific Publishing Co. Pte. Ltd..
• Faria, Gonçalo & Verona, Fabio, 2020. "Frequency-domain information for active portfolio management," Bank of Finland Research Discussion Papers 2/2020, Bank of Finland.
• Gonçalo Faria & Fabio Verona, 2021. "Time-frequency forecast of the equity premium," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2119-2135, December.
  • Faria, Gonçalo & Verona, Fabio, 2020. "Time-frequency forecast of the equity premium," Bank of Finland Research Discussion Papers 6/2020, Bank of Finland.
• Mikael Juselius & Nikola Tarashev, 2020. "Forecasting expected and unexpected losses," BIS Working Papers 913, Bank for International Settlements.
  • Juselius, Mikael & Tarashev, Nikola A., 2020. "Forecasting expected and unexpected losses," Bank of Finland Research Discussion Papers 18/2020, Bank of Finland.
• Jager, Maximilian & Siemsen, Thomas & Vilsmeier, Johannes, 2020. "Interbank risk assessment: A simulation approach," Discussion Papers 23/2020, Deutsche Bundesbank.
• Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
  • Hartwig, Benny & Meinerding, Christoph & Schüler, Yves, 2020. "Identifying indicators of systemic risk," Discussion Papers 33/2020, Deutsche Bundesbank.
• Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Discussion Papers 46/2020, Deutsche Bundesbank.
• Lux, Thomas, 2020. "Can heterogeneous agent models explain the alleged mispricing of the S&P 500?," Economics Working Papers 2020-03, Christian-Albrechts-University of Kiel, Department of Economics.
• Ruenzi, Stefan & Ungeheuer, Michael & Weigert, Florian, 2020. "Joint Extreme events in equity returns and liquidity and their cross-sectional pricing implications," Journal of Banking & Finance, Elsevier, vol. 115(C).
  • Ruenzi, Stefan & Ungeheuer, Michael & Weigert, Florian, 2020. "Joint extreme events in equity returns and liquidity and their cross-sectional pricing implications," CFR Working Papers 20-01, University of Cologne, Centre for Financial Research (CFR).
• Hendriock, Mario, 2020. "Implied cost of capital and mutual fund performance," CFR Working Papers 20-11, University of Cologne, Centre for Financial Research (CFR).
• Chao, Shih-Kang & Härdle, Wolfgang K. & Yuan, Ming, 2021. "Factorisable Multitask Quantile Regression," Econometric Theory, Cambridge University Press, vol. 37(4), pages 794-816, August.
  • Shih-Kang Chao & Wolfgang K. Härdle & Ming Yuan, 2016. "Factorisable Multi-Task Quantile Regression," SFB 649 Discussion Papers SFB649DP2016-057, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  • Chao, Shih-Kang & Härdle, Wolfgang Karl & Yuan, Ming, 2020. "Factorisable Multitask Quantile Regression," IRTG 1792 Discussion Papers 2020-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Xu, Xiu & Wang, Weining & Shin, Yongcheol, 2020. "Dynamic Spatial Network Quantile Autoregression," IRTG 1792 Discussion Papers 2020-024, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Demary, Markus & Hasenclever, Stefan, 2020. "IW Financial Expert Survey: Second Quarter 2020," IW-Reports 27/2020, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
• Reh, Laura & Krüger, Fabian & Liesenfeld, Roman, 2020. "Predicting the global minimum variance portfolio," Working Paper Series in Economics 141, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
• 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 130, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
• Beckmann, Joscha & Czudaj, Robert L., 2020. "Fundamental determinants of exchange rate expectations," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224617, Verein für Socialpolitik / German Economic Association.
  • Beckmann, Joscha & Czudaj, Robert L., 2024. "Fundamental determinants of exchange rate expectations," MPRA Paper 120648, University Library of Munich, Germany.
  • Joscha Beckmann & Robert L. Czudaj, 2022. "Fundamental determinants of exchange rate expectations," Chemnitz Economic Papers 056, Department of Economics, Chemnitz University of Technology, revised Mar 2022.
• 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, vol. 18(4), pages 471-489.
• Wojciech Lichota, 2020. "The comparative analysis of the prediction effectiveness of selected discriminant analysis models," Zeszyty Naukowe Małopolskiej Wyższej Szkoły Ekonomicznej w Tarnowie / The Malopolska School of Economics in Tarnow Research Papers Collection, Malopolska School of Economics in Tarnow, vol. 48(4), pages 27-36, December.
• 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 auwp2020-02, Department of Economics, Auburn University.
• Hyeongwoo Kim & Wen Shi, 2021. "Forecasting financial vulnerability in the USA: A factor model approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 439-457, April.
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  • Fabrizio Cipollini & Giampiero Gallo & Alessandro Palandri, 2020. "A Dynamic Conditional Approach to Portfolio Weights Forecasting," Econometrics Working Papers Archive 2020_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
• Dean Fantazzini & Nikita Kolodin, 2020. "Does the Hashrate Affect the Bitcoin Price?," JRFM, MDPI, vol. 13(11), pages 1-29, October.
  • Fantazzini, Dean & Kolodin, Nikita, 2020. "Does the hashrate affect the bitcoin price?," MPRA Paper 103812, University Library of Munich, Germany.
• João F. Caldeira & Rangan Gupta & Hudson S. Torrent, 2020. "Forecasting U.S. Aggregate Stock Market Excess Return: Do Functional Data Analysis Add Economic Value?," Mathematics, MDPI, vol. 8(11), pages 1-16, November.
  • 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 202087, University of Pretoria, Department of Economics.
• Raquel M. Gaspar & Sara D. Lopes & Bernardo Sequeira, 2020. "Neural Network Pricing of American Put Options," Risks, MDPI, vol. 8(3), pages 1-24, July.
  • Raquel M. Gaspar & Sara D. Lopes & Bernardo Sequeira, 2020. "Neural Network pricing of American put options," Working Papers REM 2020/0122, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Sustainability, MDPI, vol. 12(10), pages 1-11, May.
  • Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Working Papers 202009, University of Pretoria, Department of Economics.
• Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2022. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Management Science, INFORMS, vol. 68(7), pages 5216-5232, July.
  • Brice Corgnet & Cary Deck & Mark Desantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers halshs-02893291, HAL.
  • Brice Corgnet & Cary Deck & Mark Desantis & David Porter, 2022. "Forecasting Skills in Experimental Market : Illusion or Reality?," Post-Print hal-04325544, HAL.
  • Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 2020, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  • Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 20-27, Chapman University, Economic Science Institute.
• Mario Cerrato & Danyang Li & Zhekai Zhang, 2020. "Factor Investing and forex Portfolio Management," Working Papers 2020_01, Business School - Economics, University of Glasgow.
• Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2020. "Short-Term Exuberance and long-term stability: A simultaneous optimization of stock return predictions for short and long horizons," Graz Economics Papers 2020-20, University of Graz, Department of Economics.
• Saker Sabkha, 2021. "Forecasting sovereign CDS volatility: A comparison of univariate GARCH-class models," Post-Print hal-01769390, HAL.
• Gradojevic, Nikola & Erdemlioglu, Deniz & Gençay, Ramazan, 2020. "A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage," Economic Modelling, Elsevier, vol. 85(C), pages 57-73.
  • Nikola Gradojevic & Deniz Erdemlioglu & Ramazan Gençay, 2020. "A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage," Post-Print hal-02512423, HAL.
• Olivier Dessaint & Thierry Foucault & Laurent Frésard, 2020. "Does Big Data Improve Financial Forecasting? The Horizon Effect," Swiss Finance Institute Research Paper Series 20-106, Swiss Finance Institute.
  • Olivier Dessaint & Thierry Foucault & Laurent Frésard, 2020. "Does Big Data Improve Financial Forecasting? The Horizon Effect," Working Papers hal-03031876, HAL.
• Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2022. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Management Science, INFORMS, vol. 68(7), pages 5216-5232, July.
  • Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 20-27, Chapman University, Economic Science Institute.
  • Brice Corgnet & Cary Deck & Mark Desantis & David Porter, 2022. "Forecasting Skills in Experimental Market : Illusion or Reality?," Post-Print hal-04325544, HAL.
  • Brice Corgnet & Cary Deck & Mark Desantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers halshs-02893291, HAL.
  • Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 2020, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
• Tamás Kiss & Hoang Nguyen & Pär Österholm, 2021. "Modelling Returns in US Housing Prices—You’re the One for Me, Fat Tails," JRFM, MDPI, vol. 14(11), pages 1-17, October.
  • Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2020. "Modelling Returns in US Housing Prices – You’re the One for Me, Fat Tails," Working Papers 2020:13, Örebro University, School of Business.
• Alfelt, Gustav & Bodnar, Taras & Javed, Farrukh & Tyrcha, Joanna, 2020. "Singular conditional autoregressive Wishart model for realized covariance matrices," Working Papers 2021:1, Örebro University, School of Business.
• Lundström, Christian, 2020. "On the Profitability of Momentum Strategies and Optimal Leverage Rules," Umeå Economic Studies 974, Umeå University, Department of Economics.
• Tatyana Erofeeva, 2020. "Assessment of the Functional Relationship between the Yield Spread and the Default Spread," HSE Economic Journal, National Research University Higher School of Economics, vol. 24(1), pages 28-52.
• Inna S. Lola & Anton Manukov & Murat Bakeev, 2020. "Stress Testing As A Tool For Monitoring And Modelling The Dynamics Of Business Activity Of Manufacturing Enterprises In Russia In The Face Of Market Shocks: Short-Term Scenarios Of Industry Tendencies," HSE Working papers WP BRP 108/STI/2020, National Research University Higher School of Economics.
• Donatello Caruso & Tetiana Lunkina & Alla Burkovska & Anna Burkovska, 2020. "Assessment of the Influence of the National Bank of Ukraine Monetary Policy on Food Security of the State," Oblik i finansi, Institute of Accounting and Finance, issue 4, pages 45-51, December.
• H. W. Wayne Yang & Po-Wei Shen & An-Sing Chen, 2020. "Trimming Effects And Momentum Investing," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 14(2), pages 73-87.
• Deepa Bannigidadmath, 2020. "Consumer Sentiment And Indonesia'S Stock Returns," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(Special I), pages 1-14, January.
• Toshiaki Ogawa & Masato Ubukata & Toshiaki Watanabe, 2020. "Stock Return Predictability and Variance Risk Premia around the ZLB," IMES Discussion Paper Series 20-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
• Roberto Gallardo Del Ángel, 2020. "Financial time series forecasting using Artificial Neural Networks," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 15(1), pages 105-122, Enero - M.
• Rey Francisco Ayala Castrejon & Christian Bucio Pacheco, 2020. "Modelo ARIMA aplicado al tipo de cambio peso-dólar en el periodo 2016-2017 mediante ventanas temporales deslizantes," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 15(3), pages 331-354, Julio - S.
• Joana Almeida & Raquel M. Gaspar, 2021. "Accuracy of European Stock Target Prices," JRFM, MDPI, vol. 14(9), pages 1-27, September.
  • Joana Almeida & Raquel M. Gaspar, 2020. "Accuracy of European Stock Target Prices," Working Papers REM 2020/0115, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Raquel M. Gaspar & Sara D. Lopes & Bernardo Sequeira, 2020. "Neural Network Pricing of American Put Options," Risks, MDPI, vol. 8(3), pages 1-24, July.
  • Raquel M. Gaspar & Sara D. Lopes & Bernardo Sequeira, 2020. "Neural Network pricing of American put options," Working Papers REM 2020/0122, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Amparo Soler-Domínguez & Juan Carlos Matallín-Sáez & Diego Víctor de Mingo-López & Emili Tortosa-Ausina, 2020. "Social responsible mutual funds and lowcarbon economy," Working Papers 2020/15, Economics Department, Universitat Jaume I, Castellón (Spain).
• Bartram, Söhnke & Branke, Jürgen & Motahari, Mehrshad, 2020. "Artificial Intelligence in Asset Management," CEPR Discussion Papers 14525, C.E.P.R. Discussion Papers.
  • Söhnke M. Bartram & Jürgen Branke & Mehrshad Motahari, 2020. "Artificial intelligence in asset management," Working Papers 20202001, Cambridge Judge Business School, University of Cambridge.
• Prasenjit Chakrabarti & K Kiran Kumar, 2020. "High-Frequency Return-Implied Volatility Relationship: Empirical Evidence from Nifty and India VIX," Journal of Developing Areas, Tennessee State University, College of Business, vol. 54(3), pages 53-68, July-Sept.
• Jochen Güntner & Benjamin Karner, 2020. "Hedging with commodity futures and the end of normal Backwardation," Economics working papers 2020-21, Department of Economics, Johannes Kepler University Linz, Austria.
• Hatıra SADEGHZADEH EMSEN & Ömer Selçuk EMSEN & Ömer YALÇINKAYA, 2020. "An Effort To Construct A Mechanism Similar To The Taylor Rule Mechanism: Tests On Bist-100," JOURNAL OF LIFE ECONOMICS, Holistence Publications, vol. 7(1), pages 79-102, January.
• Vigo Pereira, Caio, 2021. "Portfolio efficiency with high-dimensional data as conditioning information," International Review of Financial Analysis, Elsevier, vol. 77(C).
  • Caio Vigo Pereira, 2020. "Portfolio Efficiency with High-Dimensional Data as Conditioning Information," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202015, University of Kansas, Department of Economics, revised Sep 2020.
• Mario Maggi & Maria-Laura Torrente & Pierpaolo Uberti, 2020. "Proper measures of connectedness," Annals of Finance, Springer, vol. 16(4), pages 547-571, December.
• Polin Wu & Wasin Siwasarit, 2020. "Capturing the Order Imbalance with Hidden Markov Model: A Case of SET50 and KOSPI50," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(1), pages 115-144, March.
• Hyeong-Ohk Bae & Seung-Yeal Ha & Yongsik Kim & Hyuncheul Lim & Jane Yoo, 2020. "Volatility Flocking by Cucker–Smale Mechanism in Financial Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(3), pages 387-414, September.
• Parthajit Kayal & Sayanti Mondal, 2020. "Speed of Price Adjustment in Indian Stock Market: A Paradox," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(4), pages 453-476, December.
• Alexandru Mandes, 2020. "Impact of Electronic Liquidity Providers Within a High-Frequency Agent-Based Modeling Framework," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 407-450, February.
• Jules Clement Mba & Sutene Mwambi, 2020. "A Markov-switching COGARCH approach to cryptocurrency portfolio selection and optimization," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(2), pages 199-214, June.
• Tania Morris & Jules Comeau, 2020. "Portfolio creation using artificial neural networks and classification probabilities: a Canadian study," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(2), pages 133-163, June.
• Guglielmo Maria Caporale & Alex Plastun, 2020. "Momentum effects in the cryptocurrency market after one-day abnormal returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 251-266, September.
  • Guglielmo Maria Caporale & Alex Plastun, 2019. "Momentum Effects in the Cryptocurrency Market After One-Day Abnormal Returns," CESifo Working Paper Series 7917, CESifo.
• Frank J. Fabozzi & Iason Kynigakis & Ekaterini Panopoulou & Radu S. Tunaru, 2020. "Detecting Bubbles in the US and UK Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 469-513, May.
• Hsiao-Fen Hsiao & Jiang-Chuan Huang & Zheng-Wei Lin, 2020. "Portfolio construction using bootstrapping neural networks: evidence from global stock market," Review of Derivatives Research, Springer, vol. 23(3), pages 227-247, October.
• Maxim Ulrich & Simon Walther, 2020. "Option-implied information: What’s the vol surface got to do with it?," Review of Derivatives Research, Springer, vol. 23(3), pages 323-355, October.
• Tavy Ronen & Oleg Sokolinskiy & Ben Sopranzetti, 2020. "The risk management implications of using end of day consensus pricing for single name CDS," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 269-304, July.
• Robina Iqbal & Ghulam Sorwar & Rose Baker & Taufiq Choudhry, 2020. "Multiday expected shortfall under generalized t distributions: evidence from global stock market," Review of Quantitative Finance and Accounting, Springer, vol. 55(3), pages 803-825, October.
• Bihary, Zsolt & Víg, Attila András, 2020. "Heterogén kereskedési stratégiák hatása a piaci árfolyamokra [The effect of heterogeneous commercial strategies on market exchange rates]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 688-707.
• Daniel V. Fauser & Andreas Gruener, 2020. "Corporate Social Irresponsibility and Credit Risk Prediction: A Machine Learning Approach," Credit and Capital Markets, Credit and Capital Markets, vol. 53(4), pages 513-554.
• Giovannelli, Alessandro & Massacci, Daniele & Soccorsi, Stefano, 2021. "Forecasting stock returns with large dimensional factor models," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 252-269.
  • Alessandro Giovannelli & Daniele Massacci & Stefano Soccorsi, 2020. "Forecasting Stock Returns with Large Dimensional Factor Models," Working Papers 305661169, Lancaster University Management School, Economics Department.
• Vahidin Jeleskovic & Mirko Meloni & Zahid Irshad Younas, 2020. "Cryptocurrencies: A Copula Based Approach for Asymmetric Risk Marginal Allocations," MAGKS Papers on Economics 202034, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
• 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, vol. 15(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), vol. 19(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, vol. 51(1), pages 69-90.
• Jacob Boudoukh & Ronen Israel & Matthew P. Richardson, 2020. "Biases in Long-Horizon Predictive Regressions," NBER Working Papers 27410, National Bureau of Economic Research, Inc.
• 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, vol. 17(1), pages 10-26.
• Branimir Cvitko Cicvarić, 2020. "Volatility of Cryptocurrencies," Notitia - journal for economic, business and social issues, Notitia Ltd., vol. 1(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 514, National Institute of Economic and Social Research.
• 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 515, National Institute of Economic and Social Research.
• 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, vol. 1(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, vol. 1(2), pages 241-256, December.
• Xiao, Tim, 2018. "The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," FrenXiv ds7zj, Center for Open Science.
  • Xiao, Tim, 2020. "The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," arabixiv.org ep9dn, Center for Open Science.
  • Xiao, Tim, 2019. "The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," EconStor Preprints 204279, ZBW - Leibniz Information Centre for Economics.
  • Xiao, Tim, 2019. "The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," MPRA Paper 94861, University Library of Munich, Germany.
  • Xiao, Tim, 2020. "The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," SocArXiv jc43a, Center for Open Science.
• Xiao, Tim, 2018. "The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," FrenXiv ds7zj, Center for Open Science.
  • Xiao, Tim, 2020. "The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," SocArXiv jc43a, Center for Open Science.
  • Xiao, Tim, 2020. "The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," arabixiv.org ep9dn, Center for Open Science.
  • Xiao, Tim, 2019. "The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," EconStor Preprints 204279, ZBW - Leibniz Information Centre for Economics.
  • Xiao, Tim, 2019. "The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," MPRA Paper 94861, University Library of Munich, Germany.
• Johanna F Ziegel & Fabian Krüger & Alexander Jordan & Fernando Fasciati, 2020. "Robust Forecast Evaluation of Expected Shortfall [Designing Realized Kernels to Measure the Ex Post Variation of Equity Prices in the Presence of Noise]," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(1), pages 95-120.
• Andrea Bucci, 2020. "Realized Volatility Forecasting with Neural Networks," Journal of Financial Econometrics, Oxford University Press, vol. 18(3), pages 502-531.
  • Andrea Bucci, 0. "Realized Volatility Forecasting with Neural Networks," Journal of Financial Econometrics, Oxford University Press, vol. 18(3), pages 502-531.
  • Bucci, Andrea, 2019. "Realized Volatility Forecasting with Neural Networks," MPRA Paper 95443, University Library of Munich, Germany.
• Fabrizio Cipollini & Giampiero M Gallo & Alessandro Palandri, 2020. "Realized Variance Modeling: Decoupling Forecasting from Estimation," Journal of Financial Econometrics, Oxford University Press, vol. 18(3), pages 532-555.
  • Fabrizio Cipollini & Giampiero M Gallo & Alessandro Palandri, 0. "Realized Variance Modeling: Decoupling Forecasting from Estimation," Journal of Financial Econometrics, Oxford University Press, vol. 18(3), pages 532-555.
  • Fabrizio Cipollini & Giampiero M. Gallo & Alessandro Palandri, 2019. "Realized variance modeling: decoupling forecasting from estimation," Econometrics Working Papers Archive 2019_05, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
• Chunhua Lan & Nikolai Roussanov, 2020. "Stock Price Movements: Business-Cycle and Low-Frequency Perspectives," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(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, vol. 24(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, vol. 24(5), pages 1039-1077.
• Philipp Adämmer & Rainer A Schüssler, 2020. "Forecasting the Equity Premium: Mind the News!," Review of Finance, European Finance Association, vol. 24(6), pages 1313-1355.
• G Andrew Karolyi & Stijn Van Nieuwerburgh, 2020. "New Methods for the Cross-Section of Returns," Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 1879-1890.
  • G Andrew Karolyi & Stijn Van Nieuwerburgh, 2020. "New Methods for the Cross-Section of Returns," Review of Finance, European Finance Association, vol. 33(5), pages 1879-1890.
• Valentin Haddad & Serhiy Kozak & Shrihari Santosh, 2020. "Factor Timing," Review of Finance, European Finance Association, vol. 33(5), pages 1980-2018.
• Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," Review of Finance, European Finance Association, vol. 33(5), pages 2223-2273.
• Stijn Van Nieuwerburgh, 2020. "New Methods for the Cross-Section of Returns," The Review of Financial Studies, Society for Financial Studies, vol. 33(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, vol. 33(5), pages 1980-2018.
  • Valentin Haddad & Serhiy Kozak & Shrihari Santosh, 2020. "Factor Timing," NBER Working Papers 26708, National Bureau of Economic Research, Inc.
• Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2223-2273.
  • Shihao Gu & Bryan Kelly & Dacheng Xiu, 2018. "Empirical Asset Pricing via Machine Learning," NBER Working Papers 25398, National Bureau of Economic Research, Inc.
  • Shihao Gu & Bryan T. Kelly & Dacheng Xiu, 2018. "Empirical Asset Pricing via Machine Learning," Swiss Finance Institute Research Paper Series 18-71, Swiss Finance Institute.
• 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, vol. 33(8), pages 3583-3623.
  • Toda, Alexis Akira & Walsh, Kieran James, 2014. "The Equity Premium and the One Percent," MPRA Paper 79009, University Library of Munich, Germany, revised 28 Feb 2017.

2019

• Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2020. "Forecasting financial stress indices in Korea: a factor model approach," Empirical Economics, Springer, vol. 59(6), pages 2859-2898, December.
  • Hyeongwoo Kim & Hyun Hak Kim & Wen Shi, 2015. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Working Papers 2015-30, Economic Research Institute, Bank of Korea.
  • Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2019. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2019-02, Department of Economics, Auburn University.
  • Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2016. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2016-10, Department of Economics, Auburn University.
  • Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2018. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2018-06, Department of Economics, Auburn University.
  • Kim, Hyeongwoo & Shi, Wen & Kim, Hyun Hak, 2018. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," MPRA Paper 89768, University Library of Munich, Germany.
• Kim, Hyeongwoo & Ko, Kyunghwan, 2020. "Improving forecast accuracy of financial vulnerability: PLS factor model approach," Economic Modelling, Elsevier, vol. 88(C), pages 341-355.
  • Hyeongwoo Kim & Kyunghwan Ko, 2017. "Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach," Auburn Economics Working Paper Series auwp2017-03, Department of Economics, Auburn University.
  • Hyeongwoo Kim & Kyunghwan Ko, 2019. "Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach," Auburn Economics Working Paper Series auwp2019-03, Department of Economics, Auburn University.
  • Kim, Hyeongwoo & Ko, Kyunghwan, 2018. "Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach," MPRA Paper 89449, University Library of Munich, Germany.
• Sarthak Behera & Hyeongwoo Kim, 2019. "Forecasting Dollar Real Exchange Rates and the Role of Real Activity Factors," Auburn Economics Working Paper Series auwp2019-04, Department of Economics, Auburn University.
• T. Bazhenov & D. Fantazzini, 2019. "Forecasting Realized Volatility of Russian stocks using Google Trends and Implied Volatility," Russian Journal of Industrial Economics, MISIS, vol. 12(1).
  • Bazhenov, Timofey & Fantazzini, Dean, 2019. "Forecasting Realized Volatility of Russian stocks using Google Trends and Implied Volatility," MPRA Paper 93544, University Library of Munich, Germany.
• Daniel J. Wilson, 2019. "Clearing the Fog: The Predictive Power of Weather for Employment Reports and Their Asset Price Responses," American Economic Review: Insights, American Economic Association, vol. 1(3), pages 373-388, December.
  • Daniel J. Wilson, 2017. "Clearing the Fog: The Predictive Power of Weather for Employment Reports and their Asset Price Responses," Working Paper Series 2017-13, Federal Reserve Bank of San Francisco.
• Mohamed Chikhi & Claude Diebolt, 2019. "Testing Nonlinearity through a Logistic Smooth Transition AR Model with Logistic Smooth Transition GARCH Errors," Working Papers of BETA 2019-06, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Mohamed Chikhi & Claude Diebolt, 2019. "Testing Nonlinearity through a Logistic Smooth Transition AR Model with Logistic Smooth Transition GARCH Errors," Working Papers 03-19, Association Française de Cliométrie (AFC).
• Mohamed Chikhi & Claude Diebolt & Tapas Mishra, 2019. "Memory that Drives! New Insights into Forecasting Performance of Stock Prices from SEMIFARMA-AEGAS Model," Working Papers of BETA 2019-24, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Mohamed CHIKHI & Claude DIEBOLT & Tapas MISHRA, 2019. "Memory that Drives! New Insights into Forecasting Performance of Stock Prices from SEMIFARMA-AEGAS Model," Working Papers 07-19, Association Française de Cliométrie (AFC).
• Niyazi TELÇEKEN & Murat KIYILAR & Eyüp KADIOĞLU, 2019. "Volatilite Endeksleri: Gelişimi, Türleri, Uygulamaları ve TRVIX Önerisi," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 4(2), pages 204-228.
• Stanimir Ivanov Kabaivanov & Veneta Markovska, 2019. "Making a Difference: Accounting for the Impact of Management Decisions in Environmental Management," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 66(2), pages 131-139, June.
• Andrea Bucci & Giulio Palomba & Eduardo Rossi, 2019. "Does macroeconomics help in predicting stock markets volatility comovements? A nonlinear approach," Working Papers 440, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
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