Research classified by Journal of Economic Literature (JEL) codes

2026

• Stefano Battilossi & Stefan O. Houpt & Miguel Artola Blanco, 2026, "The historical and expected equity risk premium in Spain: a long-run view, 1900–2020," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), volume 20, issue 1, pages 1-36, January, DOI: 10.1007/s11698-025-00309-7.
• Vaibhav Gagneja & Mayank Gupta & Sanjay Batish & Poonam Saini & Sudesh Rani, 2026, "ES-LSTM: a hybrid model for accurate time series forecasting in financial markets," Digital Finance, Springer, volume 8, issue 1, pages 1-21, March, DOI: 10.1007/s42521-025-00173-0.
• Radmir Mishelevich Leushuis & Nicolai Petkov, 2026, "Advances in forecasting realized volatility: a review of methodologies," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 12, issue 1, pages 1-29, December, DOI: 10.1186/s40854-025-00809-5.
• Haydory Akbar Ahmed, 2026, "Dynamics among the term spread, stock market volatility forecast, financial market risk and oil price: an empirical analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 12, issue 1, pages 1-22, December, DOI: 10.1186/s40854-025-00862-0.
• Giulia Di Nunno & Anton Yurchenko-Tytarenko, 2026, "Sandwiched Volterra volatility model: Markovian approximations and hedging," Finance and Stochastics, Springer, volume 30, issue 1, pages 277-325, January, DOI: 10.1007/s00780-025-00584-2.
• Elie Bouri & Rangan Gupta & Asingamaanda Liphadzi & Christian Pierdzioch, 2026, "Forecasting the volatility of stock returns in the G7 countries over centuries: the role of climate risks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 50, issue 1, pages 1-32, December, DOI: 10.1007/s12197-026-09751-3.
• Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2026, "Asymmetric Roles of Macroeconomic Variables in the Real Exchange Rate: Insights from U.S.-Korea Data," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2026-01, Jan.
• Cansu Çilingir Kara, 2026, "The Impact of R&D Intensity and Financial Slack on Company Performance: An Analysis of Companies with the Highest R&D Expenditure in Türkiye," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue 4, pages 1366-1381, DOI: 10.30784/epfad.1666691.
• Yahya Sönmez & Arzu Özmerdivanlı, 2026, "Comparative Empirical Analysis of Financial Failures of Enterprises in ISE Chemical, Petrol, and Plastic Index," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue 4, pages 1516-1547, DOI: 10.30784/epfad.1745499.
• Özlem Eren, 2026, "Türk Bankacılık Sektöründe Sürdürülebilir Finansman ve Yeşil Tahviller: ESG Kriterlerine Uyum ve Stratejik Etkiler," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue 4, pages 1655-1674, DOI: 10.30784/epfad.1616115.
• Uluc Aysun & Melanie Guldi, 2026, "Revisiting exchange rate predictability: Does machine learning help?," Working Papers, University of Central Florida, Department of Economics, number 2026-01, Jan.
• Wiersema, Garbrand & Kemp, Esti & Farmer, J. Doyne, 2026, "Liquidity spirals," Working Paper Series, European Central Bank, number 3169, Jan.
• Carboni, Giacomo & Fonseca, Luís & Fornari, Fabio & Urrutia, Leonardo, 2026, "Structural drivers of growth at risk: insights from a VAR-quantile regression approach," Working Paper Series, European Central Bank, number 3171, Jan.
• Chikhi, Mohamed & Benhmad, François, 2026, "Investigating the impact of the Covid-19 pandemic on stock markets volatility in USA and Europe," The North American Journal of Economics and Finance, Elsevier, volume 81, issue C, DOI: 10.1016/j.najef.2025.102540.
• Będowska-Sójka, Barbara & Wójcik, Piotr & Pele, Daniel Traian, 2026, "Early warning systems for cryptocurrency markets: Predicting ‘zombie’ assets using machine learning," The North American Journal of Economics and Finance, Elsevier, volume 81, issue C, DOI: 10.1016/j.najef.2025.102543.
• Laborda, Juan & Suárez, Cristina & Fernández, Alejandro & Wang, Haoran & Cerdá, Emilio & Ricci, Liana & Quiroga, Sonia, 2026, "Unveiling how financial markets could intensify climate change risks," Ecological Economics, Elsevier, volume 239, issue C, DOI: 10.1016/j.ecolecon.2025.108773.
• Caldeira, João F. & Cordeiro, Werley C., 2026, "Decomposing nominal and real yield curves and inflation forecasting: Evidence from Brazil," Economics Letters, Elsevier, volume 258, issue C, DOI: 10.1016/j.econlet.2025.112712.
• He, Zhongfang, 2026, "A computationally efficient mixture innovation model for time-varying parameter regressions," Econometrics and Statistics, Elsevier, volume 37, issue C, pages 250-269, DOI: 10.1016/j.ecosta.2023.08.001.
• Liu, Yakun & Chen, Yan & Zhang, Lei & Deng, Xi, 2026, "Forecasting stock return: The role of idiosyncratic asymmetry risk," Journal of International Money and Finance, Elsevier, volume 160, issue C, DOI: 10.1016/j.jimonfin.2025.103464.
• Chu, Gang & Dowling, Michael & Li, Xiao, 2026, "Impermanent loss in cryptocurrency," Journal of International Money and Finance, Elsevier, volume 160, issue C, DOI: 10.1016/j.jimonfin.2025.103476.
• Kang, Hankil & Ryu, Doojin, 2026, "Sentiment, uncertainty, and bond return predictability," The Quarterly Review of Economics and Finance, Elsevier, volume 105, issue C, DOI: 10.1016/j.qref.2025.102083.
• Xing, Xiaochao & Hong, Yanran & Wang, Lu, 2026, "A novel LSTM-based Granger-causality approach: A case study on traditional energy and stock markets," Renewable Energy, Elsevier, volume 256, issue PG, DOI: 10.1016/j.renene.2025.124519.
• Migliavacca, Milena & Anwer, Zaheer & Fandella, Paola, 2026, "Geopolitical risk and stock market volatility: The case of US weapon and non-weapon firms," Research in International Business and Finance, Elsevier, volume 81, issue C, DOI: 10.1016/j.ribaf.2025.103195.
• Mei, Dexiang & Li, Xiaotao, 2026, "Forecasting of Chinese stock price using a hybrid neural network model," Research in International Business and Finance, Elsevier, volume 82, issue C, DOI: 10.1016/j.ribaf.2025.103232.

2025

• ENNADIFI Imane & KADIL Ghizlane, 2025, "Exploring Tail Risk Transmission between Volatility Indices and Cryptocurrencies: Evidence from Quantile Connectedness," Advances in Decision Sciences, Asia University, Taiwan, volume 29, issue 3, pages 119-157, September.
• Quang Hung Do, 2025, "Forecasting ROA and ROE for Retail Companies in Vietnam by Using Machine Learning Techniques," Advances in Decision Sciences, Asia University, Taiwan, volume 29, issue 4, pages 63-93.
• Adedeji Gbadebo, 2025, "Stock Price Forecasting Using a Time-Series Long Short-Term Memory Model," Finance, Accounting and Business Analysis, University of National and World Economy, Institute for Economics and Politics, volume 7, issue 2, pages 304-322, December.
• Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2025, "Asymmetric Roles of Macroeconomic Variables in the Real Exchange Rate: Insights from U.S.-Korea Data," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2025-01, Jan.
• Bülent İlhan & Funda Kara, 2025, "Dynamic Relationship Between Bist Industrial Index and Industrial Production Index, GEPU, Commercial Loan Interest and Exchange Rate," Journal of Finance Letters (Maliye ve Finans Yazıları), Maliye ve Finans Yazıları Yayıncılık Ltd. Şti., volume 40, issue 123, pages 166-187, April, DOI: https://doi.org/10.33203/mfy.161066.
• Nazif Ayyıldız, 2025, "Predicting Market Direction With Deep Learning: An Application on E-7 Country Stock Markets," Journal of Finance Letters (Maliye ve Finans Yazıları), Maliye ve Finans Yazıları Yayıncılık Ltd. Şti., volume 40, issue 123, pages 92-111, April, DOI: https://doi.org/10.33203/mfy.144258.
• Corina-Graziella BÂTCĂ-DUMITRU & Daniela-Nicoleta SAHLIAN & Cleopatra ȘENDROIU, 2025, "Budgetary Management of Investments," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), volume 6, issue 1, pages 16-26, January, DOI: 10.37945/cbr.2025.01.03.
• Ayşegül PEKER & Duygu TUNALI, 2025, "The Comparison of Artificial Neural Networks and Panel Data Analysis on Profitability Prediction: The Case of Real Estate Investment Trusts," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue 1, pages 160-183, DOI: https://doi.org/10.30784/epfad.1602.
• Erdi BAYRAM & Rabia AKTAŞ, 2025, "Portfolio Construction with Postmodern Portfolio Theory Framework," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue 1, pages 27-43, DOI: https://doi.org/10.30784/epfad.1576.
• Hakan YILMAZ, 2025, "Finansal Bilgi Manipülasyonunun Beneish TR Modeli Kullanılarak Tahmin Edilmesi: BİST İmalat Sanayi Üzerine Bir Uygulama," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue 1, pages 359-388, DOI: https://doi.org/10.30784/epfad.1602.
• Umut Kemeç & Veysel Kula & Ender Baykut, 2025, "Decoding ETF Market Movements: The Impact of Internal and External Factors," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue 3, pages 1122-1142, DOI: 10.30784/epfad.1718492.
• Yüksel İltaş & Fatih Güzel, 2025, "The Nexus between CDS Premiums and Exchange Rates: Evidence from BRICS Countries and Türkiye," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 9, issue 4, pages 796-811, DOI: https://doi.org/10.30784/epfad.1583.
• Adil Haniev & Viktoriya V. Suhih, 2025, "Analysis of the Impact of ESG Initiatives on the Financial Performance of Shareholders in Russian Companies," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, volume 24, issue 1, pages 319-343, DOI: https://doi.org/10.15826/vestnik.20.
• Alexey Litvinenko & Anna Litvinenko & Samuli Saarinen, 2025, "Applying Forecasting Methods to Accrual-Based and Cash-Based Ratio Analysis," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, volume 24, issue 2, pages 328-360, June.
• Łukasz Siemieniuk & Tomasz Siemieniuk & Nina Siemieniuk, 2025, "Fractal Analysis of Dynamic Economic Processes in the Field of Investment Decisions on the Warsaw Stock Exchange," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 3, pages 404-423.
• Victor Olkhov, 2025, "Markowitz Variance May Vastly Undervalue or Overestimate Portfolio Variance and Risks," Papers, arXiv.org, number 2507.21824, Jul.
• Monia Magnani & Massimo Guidolin, 2025, "Nonlinear Dynamics in Monetary Policy-Fueled Stock Market Bubbles," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 25252.
• Serhii Kanyhin & Svitlana Achkasova & Viktoriia Tyschenko & Vlada Karpova & Oleksii Naidenko, 2025, "Bankruptcy Risks Assessment: A Comprehensive Review of Qualitative Indicators," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 22-44.
• Viacheslav Makedon & Valentin Myachin & Tetiana Aloshyna & Iryna Cherniavska & Nataliia Karavan, 2025, "Improving the Readiness of Enterprises to Develop Sustainable Innovation Strategies through Fuzzy Logic Models," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 165-179.
• Vladimir Belkin, 2025, "Federal Fund Rate and Geomagnetic Index Ap Cycles (1955–2024)," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2.
• Nicolas Audet & Adam Epp & Jeffrey Gao & Joe Ning, 2025, "Modelling the Sovereign Debt Strategy: A Practical Primer," Discussion Papers, Bank of Canada, number 2025-16, Dec, DOI: 10.34989/sdp-2025-16.
• Nicolas Audet & Joe Ning & Adam Epp & Jeffrey Gao, 2025, "The Dynamic Canadian Debt Strategy Model," Technical Reports, Bank of Canada, number 127, DOI: 10.34989/tr-127.
• Omar Abdelrahman & David Chen & Cameron MacDonald & Adi Mordel & Guillaume Ouellet Leblanc, 2025, "Simulating the Resilience of the Canadian Banking Sector Under Stress: An Update of the Bank of Canada’s Top-Down Solvency Assessment Tool," Technical Reports, Bank of Canada, number 128, DOI: 10.34989/tr-128.
• Katherine Brennan & Bo Young Chang & Alper Odabasioglu & Radoslav Raykov, 2025, "Stress testing central counterparties for resolution planning," Staff Analytical Notes, Bank of Canada, number 2025-11, Mar, DOI: 10.34989/san-2025-11.
• Katherine Brennan & Bo Young Chang & Alper Odabasioglu & Radoslav Raykov, 2025, "Soumettre les contreparties centrales à des simulations de crise pour établir leurs plans de résolution," Staff Analytical Notes, Bank of Canada, number 2025-11fr, Mar, DOI: 10.34989/san-2025-11.
• Alejandro Ferrer & Ana Molina, 2025, "Interacción entre riesgo de liquidez y solvencia bancaria a través de los mecanismos de monetización de activos," Occasional Papers, Banco de España, number 2509, May, DOI: https://doi.org/10.53479/39767.
• Alejandro Ferrer & Ana Molina, 2025, "The interaction of liquidity risk and bank solvency via asset monetisation mechanisms," Occasional Papers, Banco de España, number 2509, May, DOI: https://doi.org/10.53479/39785.
• Pilar García & Diego Torres, 2025, "Perceiving central bank communications through press coverage," Working Papers, Banco de España, number 2505, Jan, DOI: https://doi.org/10.53479/38922.
• Michele Leonardo Bianchi & Federica Pallante, 2025, "Comparing the systemic risk of Italian insurers and banks," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 922, Apr.
• Diego Fernando Cuesta-Mora & Camilo Gómez, 2025, "Dynamic Balance Sheet Simulation and Credit Default Prediction: A Stress Test Model for Colombian Firms," Borradores de Economia, Banco de la Republica de Colombia, number 1325, Aug, DOI: 10.32468/be.1325.
• Cengizhan KARACA, 2025, "Finansal Kriz ve COVID-19 Etkisi altında Finansal Risklerin Firma Değeri Üzerindeki Dinamikleri: MMQR ve Nedensellik Analizlerinden Yeni Kanıtlar," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, volume 9, issue 1, pages 79-98, June, DOI: https://doi.org/10.33399/biibfad.15.
• Inaki Aldasoro & Peter Hördahl & Andreas Schrimpf & Sonya Zhu, 2025, "Predicting financial market stress with machine learning," BIS Working Papers, Bank for International Settlements, number 1250, Mar.
• Vasily Pozdyshev & Alexey Lobanov & Kirill Ilinsky, 2025, "Incorporating physical climate risks into banks' credit risk models," BIS Working Papers, Bank for International Settlements, number 1274, Jul.
• Matteo Aquilina & Douglas Kiarelly Godoy de Araujo & Gaston Gelos & Taejin Park & Fernando Perez-Cruz, 2025, "Harnessing artificial intelligence for monitoring financial markets," BIS Working Papers, Bank for International Settlements, number 1291, Sep.
• Mustafa Siti Aisyah & Nor Safwan Mohd & Halim Zairihan Abdul & Zawawi Nur Haiza Muhammad, 2025, "Estimating Short-term Default Probabilities Conditional to Economic Conditions: Applications of Regularisation Approach and Economic Adjustment Coefficients," Business Systems Research, Sciendo, volume 16, issue 1, pages 178-197, DOI: 10.2478/bsrj-2025-0009.
• Hoanh-Su Le & Phong Le Quang Chan & Vinh Truong Cong & Nhat Ho Mai Minh & Lee Jong-Hwa, 2025, "Default Prediction in the Finance Industry Based on Ensemble Learning: Combining Machine Learning and Deep Learning," Business Systems Research, Sciendo, volume 16, issue 1, pages 198-218, DOI: 10.2478/bsrj-2025-0010.
• Anton Ilichov, 2025, "Problems of the efficiency of the functioning of the market of passenger transportation services in the conditions of the stateof war: identification and ways of overcoming," Economic Synergy, Higher Educational Institution Academician Yuriy Bugay International Scientific & Technical University, issue 1, pages 212-225, DOI: 10.53920/ES-2025-1-16.
• Yuvana Jaichand & Reneé van Eyden & Rangan Gupta, 2025, "Presidential Approval Ratings and Stock Market Performance in Latin America," Scottish Journal of Political Economy, Scottish Economic Society, volume 72, issue 4, September, DOI: 10.1111/sjpe.70011.
• Stavros Degiannakis & Eleftheria Kafousaki, 2025, "Disaggregating VIX," Working Papers, Bank of Greece, number 335, Jan, DOI: 10.52903/wp2025335.
• Stavros Degiannakis & Panagiotis Delis & George Filis & George Giannopoulos, 2025, "Trading VIX on volatility forecasts: another volatility puzzle?," Working Papers, Bank of Greece, number 336, Feb, DOI: 10.52903/wp2025336.
• Panagiotis Delis & Stavros Degiannakis & George Filis, 2025, "Navigating crude oil volatility forecasts: assessing the contribution of geopolitical risk," Working Papers, Bank of Greece, number 342, May, DOI: 10.52903/wp2025342.
• Yuki Konaka & Toshitaka Maruyama & Fumitaka Nakamura, 2025, "Exploratory Scenario Analysis Considering the Growing Presence of Domestic and Foreign Investment Funds," Bank of Japan Working Paper Series, Bank of Japan, number 25-E-11, Oct.
• Benjamin Christoffersen & Arvid Hoffmann & Zwetelina Iliewa & Lena Jaroszek, 2025, "Experience Effects on Wall Street vs. Main Street: Field and Lab Evidence of Context Dependence," CRC TR 224 Discussion Paper Series, University of Bonn and University of Mannheim, Germany, number crctr224_2025_684, Apr.
• Blatter Anja Bettina & Ernst Dietmar & Lang Sarah Maria, 2025, "Diversification in Business Valuation," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, volume 20, issue 1, pages 1-28, DOI: 10.1515/jbvela-2024-0024.
• Mattera Raffaele, 2025, "Forecasting High-Dimensional Portfolios," Journal of Time Series Econometrics, De Gruyter, volume 17, issue 1, pages 35-67, DOI: 10.1515/jtse-2023-0011.
• Xu Wen & Aschakulporn Pakorn & Zhang Jin E., 2025, "Heterogeneous Volatility Information Content for the Realized GARCH Modeling and Forecasting Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 29, issue 6, pages 769-785, DOI: 10.1515/snde-2024-0013.
• Bachmair, K. & Schmitz, N., 2025, "Forecasting Macro with Finance," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2574, Nov.
• Wosser, Michael & McInerney, Niall & Athanasopoulos, Angelos, 2025, "Assessing the Macroeconomic Costs and Benefits of Borrower Based Measures (Evidence From Ireland)," Research Technical Papers, Central Bank of Ireland, number 14/RT/25, Sep.
• Bryan T. Kelly & Semyon Malamud & Emil Siriwardane & Hongyu Wu, 2025, "Behavioral Impulse Responses," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-04, Jan.
• Junxiong Gao & Alberto Plazzi & Rossen I. Valkanov & Yan Xu, 2025, "We embed the budget constraints of the private, public, and external sectors within the aggregate budget constraint of the economy to examine whether valuation ratios in one sector forecast real retur," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-102, Dec.
• Zhimin Chen & Bryan T. Kelly & Semyon Malamud, 2025, "Limits To (Machine) Learning," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-106, Dec.
• Ricardo Crisóstomo, 2025, "Quantifying firm-level risks from nature deterioration," CNMV Working Papers, CNMV- Spanish Securities Markets Commission - Research and Statistics Department, number CNMV Working Papers no. 9.
• Diana Mykhalyuk, 2025, "Dynamic modelling of climate-related shocks in the Spanish fund sector," CNMV Working Papers, CNMV- Spanish Securities Markets Commission - Research and Statistics Department, number CNMV Working Papers no. 9.
• Luis Enrique Cayatopa-Rivera & Héctor Javier Bendezú-Jiménez, 2025, "Stock market interrelationships in the Latin American Integrated Market (MILA): a VAR approach to short-term dynamics (2015–2022)," Revista Tendencias, Universidad de Narino, volume 26, issue 02, pages 136-161, July, DOI: 10.22267/rtend.2526.
• Wiersema, Garbrand & Kleinnijenhuis, Alissa M. & Kemp, Esti & Wetzer, Thom, 2025, "Higher-order exposures," Working Paper Series, European Central Bank, number 3091, Aug.
• Lin, K.C. & Dong, Xiaobo, 2025, "Climate policy uncertainty and analyst forecast quality for greenhouse gas-intensive firms," Advances in accounting, Elsevier, volume 68, issue C, DOI: 10.1016/j.adiac.2025.100817.
• Bao, Te & Corgnet, Brice & Hanaki, Nobuyuki & Okada, Katsuhiko & Riyanto, Yohanes E. & Zhu, Jiahua, 2025, "Financial forecasting in the lab and the field: Qualified professionals vs. smart students," Journal of Behavioral and Experimental Finance, Elsevier, volume 46, issue C, DOI: 10.1016/j.jbef.2025.101051.
• Rieder, Markus J., 2025, "How heterogeneous information induces market inefficiencies," Journal of Behavioral and Experimental Finance, Elsevier, volume 46, issue C, DOI: 10.1016/j.jbef.2025.101052.
• Tian, Zhifan & Zeng, Cheng (Colin) & Li, Chaofan & Wu, Yi, 2025, "Peer effects of star-analysts' departure: New evidence from China," Journal of Corporate Finance, Elsevier, volume 94, issue C, DOI: 10.1016/j.jcorpfin.2025.102844.
• Fu, Fanjie & Yao, Shujie & Fang, Jing & Zhang, Fan & Lin, Chuan, 2025, "CEOs' hometown connections and optimism in analyst earnings forecasts: Evidence from China," Economic Analysis and Policy, Elsevier, volume 85, issue C, pages 1031-1052, DOI: 10.1016/j.eap.2025.01.014.
• Peng, Michael & Stern, Elisheva R. & Hu, Hanwen, 2025, "Forecasting China bond default with severe class-imbalanced data: A simple learning model with causal inference," Economic Modelling, Elsevier, volume 144, issue C, DOI: 10.1016/j.econmod.2024.106985.
• Cho, Dooyeon & Lee, Kyung-woo, 2025, "Pension sustainability and government effectiveness in the presence of population aging," Economic Modelling, Elsevier, volume 147, issue C, DOI: 10.1016/j.econmod.2025.107048.
• Hernández, Juan R., 2025, "Covered interest parity: A forecasting approach to estimate the neutral band," Economic Modelling, Elsevier, volume 148, issue C, DOI: 10.1016/j.econmod.2025.107076.
• Lupu, Radu & Călin, Adrian Cantemir & Dumitrescu, Dan Gabriel & Lupu, Iulia, 2025, "Introducing a novel fragility index for assessing financial stability amid asset bubble episodes," The North American Journal of Economics and Finance, Elsevier, volume 75, issue PA, DOI: 10.1016/j.najef.2024.102291.
• Fathi, Masoumeh & Grobys, Klaus & Äijö, Janne, 2025, "A common component of Fama and French factor variances," The North American Journal of Economics and Finance, Elsevier, volume 75, issue PA, DOI: 10.1016/j.najef.2024.102292.
• Akyildirim, Erdinc & Corbet, Shaen & Coskun, Ali & Ercan, Metin, 2025, "Connectedness of cryptocurrency-related stocks and the cryptocurrency market: Evidence from the United States," The North American Journal of Economics and Finance, Elsevier, volume 76, issue C, DOI: 10.1016/j.najef.2024.102344.
• Xu, Buyun & Wu, Zhimin, 2025, "Real-time GARCH@CARR: A joint model of returns, realized measure of volatility and current intraday information," The North American Journal of Economics and Finance, Elsevier, volume 76, issue C, DOI: 10.1016/j.najef.2025.102368.
• Yao, Yinhong & Chen, Xiuwen & Chen, Zhensong, 2025, "Portfolio tail risk forecasting for international financial assets: A GARCH-MIDAS-R-Vine copula model," The North American Journal of Economics and Finance, Elsevier, volume 77, issue C, DOI: 10.1016/j.najef.2025.102385.
• Grecu, Robert Adrian & Cramer, Alexandru Adrian & Pele, Daniel Traian & Lessmann, Stefan, 2025, "The link between energy prices and stock markets in European Union countries," The North American Journal of Economics and Finance, Elsevier, volume 78, issue C, DOI: 10.1016/j.najef.2025.102420.
• Qian, Yihe & Zhang, Yang, 2025, "Long-term forecasting in asset pricing: Machine learning models’ sensitivity to macroeconomic shifts and firm-specific factors," The North American Journal of Economics and Finance, Elsevier, volume 78, issue C, DOI: 10.1016/j.najef.2025.102423.
• Hu, Genhua & Ma, Xiaoqing & Zhu, Tingting, 2025, "Forecasting volatility of China’s crude oil futures based on hybrid ML-HAR-RV models," The North American Journal of Economics and Finance, Elsevier, volume 78, issue C, DOI: 10.1016/j.najef.2025.102428.
• Yang, Mo & Cao, Jiawei & Meng, Yifan & Gong, Hao, 2025, "Managerial integrity and stock returns," The North American Journal of Economics and Finance, Elsevier, volume 78, issue C, DOI: 10.1016/j.najef.2025.102436.
• Yang, Liwei & Liu, Rumei & Zhang, Jianing, 2025, "Adaptive online portfolio selection incorporating systematic risk of the financial market," The North American Journal of Economics and Finance, Elsevier, volume 79, issue C, DOI: 10.1016/j.najef.2025.102438.
• Li, Lu & Li, Degao & Liu, Li & Tang, Linjun, 2025, "Forecasting Value-at-Risk and Expected Shortfall using penalized quantile regressions with mixed-frequency data," The North American Journal of Economics and Finance, Elsevier, volume 80, issue C, DOI: 10.1016/j.najef.2025.102466.
• Grobys, Klaus, 2025, "Is energy risk scale Invariant? evidence from crude oil futures," The North American Journal of Economics and Finance, Elsevier, volume 80, issue C, DOI: 10.1016/j.najef.2025.102476.
• Carlei, Vittorio & Furia, Donatella & Ceccarelli, Alessandro & Cascioli, Piera, 2025, "Outperforming ESG stocks portfolio: A machine learning ranking model with catboots regressor," The North American Journal of Economics and Finance, Elsevier, volume 80, issue C, DOI: 10.1016/j.najef.2025.102517.
• Xie, Xiaodu, 2025, "Indirect and direct forecasting of volatility-timing portfolios," Economics Letters, Elsevier, volume 247, issue C, DOI: 10.1016/j.econlet.2024.112142.
• Baldwin, Kenneth & Alhalboni, Maryam, 2025, "Cash out or carry on: When bank runs build resilience," Economics Letters, Elsevier, volume 256, issue C, DOI: 10.1016/j.econlet.2025.112581.
• Aït-Sahalia, Yacine & Matthys, Felix & Osambela, Emilio & Sircar, Ronnie, 2025, "When uncertainty and volatility are disconnected: Implications for asset pricing and portfolio performance," Journal of Econometrics, Elsevier, volume 248, issue C, DOI: 10.1016/j.jeconom.2023.105654.
• Czellar, Veronika & Garcia, René & Le Grand, François, 2025, "Uncovering asset market participation from household consumption and income," Journal of Econometrics, Elsevier, volume 248, issue C, DOI: 10.1016/j.jeconom.2024.105867.
• Ding, Yi & Engle, Robert & Li, Yingying & Zheng, Xinghua, 2025, "Multiplicative factor model for volatility," Journal of Econometrics, Elsevier, volume 249, issue PB, DOI: 10.1016/j.jeconom.2025.105959.
• Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2025, "Predictive quantile regressions with persistent and heteroskedastic predictors: A powerful 2SLS testing approach," Journal of Econometrics, Elsevier, volume 249, issue PB, DOI: 10.1016/j.jeconom.2025.106002.
• Demetrescu, Matei & Roling, Christoph, 2025, "Testing the Predictive Ability of Possibly Persistent Variables under Asymmetric Loss," Econometrics and Statistics, Elsevier, volume 33, issue C, pages 80-104, DOI: 10.1016/j.ecosta.2021.09.004.
• Lazar, Emese & Zhang, Ning, 2025, "Model Risk of Volatility Models," Econometrics and Statistics, Elsevier, volume 35, issue C, pages 1-22, DOI: 10.1016/j.ecosta.2022.06.002.
• Ellington, Michael & Kalli, Maria, 2025, "Predictive distributions and the market return: The role of market illiquidity," European Journal of Operational Research, Elsevier, volume 323, issue 1, pages 309-322, DOI: 10.1016/j.ejor.2025.01.006.
• Xu, Zhiwei & Hua, Xia & Zhang, Teng, 2025, "Does official media sentiment matter for the stock market? Evidence from China," Emerging Markets Review, Elsevier, volume 64, issue C, DOI: 10.1016/j.ememar.2024.101234.
• Molina-Muñoz, Jesús & Mora-Valencia, Andrés & Perote, Javier, 2025, "Dynamic volatility spillovers among commodities, bitcoin, and emerging markets," Emerging Markets Review, Elsevier, volume 69, issue C, DOI: 10.1016/j.ememar.2025.101375.
• Luo, Jiawen & Chen, Zhenbiao & Cheng, Mingmian, 2025, "Forecasting realized betas using predictors indicating structural breaks and asymmetric risk effects," Journal of Empirical Finance, Elsevier, volume 80, issue C, DOI: 10.1016/j.jempfin.2024.101575.
• Fuentes, Fernanda & Herrera, Rodrigo & Clements, Adam, 2025, "Tail risk dynamics of banks with score-driven extreme value models," Journal of Empirical Finance, Elsevier, volume 81, issue C, DOI: 10.1016/j.jempfin.2025.101593.
• Zhang, Tao & Tang, Ke & Liu, Taoxiong & Jiang, Tingfeng, 2025, "High frequency online inflation and term structure of interest rates: Evidence from China," Journal of Empirical Finance, Elsevier, volume 83, issue C, DOI: 10.1016/j.jempfin.2025.101626.
• Gong, Jue & Wang, Gang-Jin & Zhou, Yang & Xie, Chi, 2025, "Cross-market volatility forecasting with attention-based spatial–temporal graph convolutional networks," Journal of Empirical Finance, Elsevier, volume 83, issue C, DOI: 10.1016/j.jempfin.2025.101639.
• Phylaktis, Kate & Yamani, Ehab, 2025, "Foreign currency forecasting in emerging markets: What can stock and bond markets tell us?," Journal of Empirical Finance, Elsevier, volume 83, issue C, DOI: 10.1016/j.jempfin.2025.101641.
• Yuan, Ying & Qu, Yong & Wang, Tianyang, 2025, "Predicting risk premiums: A constraint-based model," Journal of Empirical Finance, Elsevier, volume 83, issue C, DOI: 10.1016/j.jempfin.2025.101647.
• Faria, Gonçalo & Verona, Fabio, 2025, "Unlocking predictive potential: The frequency-domain approach to equity premium forecasting," Journal of Empirical Finance, Elsevier, volume 83, issue C, DOI: 10.1016/j.jempfin.2025.101648.
• Zhang, Han & Xiong, Xiong & Guo, Bin, 2025, "The stock return predictability of treasury bond yield in China," Journal of Empirical Finance, Elsevier, volume 84, issue C, DOI: 10.1016/j.jempfin.2025.101654.
• Dong, Mengmeng, 2025, "Economic aggregation of return signals in global markets," Journal of Empirical Finance, Elsevier, volume 84, issue C, DOI: 10.1016/j.jempfin.2025.101663.
• Wang, Zhengzhong & Wei, Yunjie & Wang, Shouyang, 2025, "Forecasting the carbon price of China's national carbon market: A novel dynamic interval-valued framework," Energy Economics, Elsevier, volume 141, issue C, DOI: 10.1016/j.eneco.2024.108107.
• Ben Jabeur, Sami & Bakkar, Yassine & Cepni, Oguzhan, 2025, "Do global COVOL and geopolitical risks affect clean energy prices? Evidence from explainable artificial intelligence models," Energy Economics, Elsevier, volume 141, issue C, DOI: 10.1016/j.eneco.2024.108112.
• Cai, Yifei & Zhang, Yahua & Xu, Yuchao, 2025, "Assessing the influence of unplanned oil supply outages on airline stock connectedness," Energy Economics, Elsevier, volume 141, issue C, DOI: 10.1016/j.eneco.2024.108145.
• Cao, Jin-Hui & Xie, Chi & Zhou, Yang & Wang, Gang-Jin & Zhu, You, 2025, "Forecasting carbon price: A novel multi-factor spatial-temporal GNN framework integrating Graph WaveNet and self-attention mechanism," Energy Economics, Elsevier, volume 144, issue C, DOI: 10.1016/j.eneco.2025.108318.
• Wegener, Christoph & Basse, Tobias & Maiani, Stefano & Nguyen, Tam Huu, 2025, "Predictive power of oil prices on CDS spread dynamics of oil-producing countries," Energy Economics, Elsevier, volume 145, issue C, DOI: 10.1016/j.eneco.2025.108375.
• Wu, Bangzheng, 2025, "The global supply pressure and oil supply–demand shocks: A time-scale and quantile analysis," Energy Economics, Elsevier, volume 147, issue C, DOI: 10.1016/j.eneco.2025.108555.
• Delis, Panagiotis & Degiannakis, Stavros & Filis, George, 2025, "Navigating crude oil volatility forecasts: Assessing the contribution of geopolitical risk," Energy Economics, Elsevier, volume 148, issue C, DOI: 10.1016/j.eneco.2025.108594.
• Serafin, Tomasz & Weron, Rafał, 2025, "Loss functions in regression models: Impact on profits and risk in day-ahead electricity trading," Energy Economics, Elsevier, volume 148, issue C, DOI: 10.1016/j.eneco.2025.108596.
• Turquet, Briac & Bajgrowicz, Pierre & Scaillet, Olivier, 2025, "Mean reversion trading on the naphtha crack," Energy Economics, Elsevier, volume 148, issue C, DOI: 10.1016/j.eneco.2025.108620.
• Gohdes, Nicholas, 2025, "On spot revenues, capital structure and trade off theory: Analysing investment risk for contracted renewables," Energy Economics, Elsevier, volume 148, issue C, DOI: 10.1016/j.eneco.2025.108703.
• Candila, Vincenzo & Petrella, Lea & Andreani, Mila, 2025, "Mixed-frequency Quantile Regression Forests for Value-at-Risk forecasting," Energy Economics, Elsevier, volume 149, issue C, DOI: 10.1016/j.eneco.2025.108706.
• Chen, Wenting & Yang, Zhao & He, Xin-Jiang, 2025, "Pricing energy futures options: The role of seasonality and liquidity," Energy Economics, Elsevier, volume 149, issue C, DOI: 10.1016/j.eneco.2025.108737.
• Salisu, Afees A. & Olaniran, Abeeb O. & Vo, Xuan Vinh, 2025, "Geopolitical risk, climate risk and financial innovation in the energy market," Energy, Elsevier, volume 315, issue C, DOI: 10.1016/j.energy.2025.134365.
• Wen, Danyan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2025, "Forecasting gasoline prices using oil prices: New evidence based on the rocket and feather hypothesis," Energy, Elsevier, volume 335, issue C, DOI: 10.1016/j.energy.2025.138115.
• Bao, Kun & Chen, Denghui & Gu, Chen & Papakroni, Erlina & Stan, Raluca & Wang, Muhan, 2025, "The informational role of forex option volume," International Review of Financial Analysis, Elsevier, volume 100, issue C, DOI: 10.1016/j.irfa.2025.103978.
• Goodell, John W. & Muckley, Cal B. & Neelakantan, Parvati & Ryan, Darragh & Yu, Pei-Shan, 2025, "AI culture ‘profiling’ and anti-money laundering: Efficacy vs ethics," International Review of Financial Analysis, Elsevier, volume 101, issue C, DOI: 10.1016/j.irfa.2025.103980.
• Hao, Mengshu & Xu, Yang & Yuan, Peiyao & Chen, Kecai, 2025, "Unveiling the impact of irrelevant answers on analyst forecast errors: A topic modeling approach," International Review of Financial Analysis, Elsevier, volume 102, issue C, DOI: 10.1016/j.irfa.2025.104041.
• Alexakis, Christos & Gogas, Periklis & Petrella, Giovanni & Polemis, Michael & Salvadè, Federica, 2025, "Investigating the investment readiness of European SMEs: A machine learning approach," International Review of Financial Analysis, Elsevier, volume 105, issue C, DOI: 10.1016/j.irfa.2025.104439.
• Mertzanis, Charilaos, 2025, "Artificial intelligence and investment management: Structure, strategy, and governance," International Review of Financial Analysis, Elsevier, volume 107, issue C, DOI: 10.1016/j.irfa.2025.104599.
• Wang, Jiqian & Chen, Chuang & Dai, Xingyu, 2025, "News topic attention and crude oil price predictability," International Review of Financial Analysis, Elsevier, volume 108, issue PA, DOI: 10.1016/j.irfa.2025.104696.
• Cui, Xudong & Gong, Pu & Liu, Tong, 2025, "The disposition effect and market volatility prediction," International Review of Financial Analysis, Elsevier, volume 108, issue PB, DOI: 10.1016/j.irfa.2025.104719.
• Mercik, Aleksander & Będowska-Sójka, Barbara & Karim, Sitara & Zaremba, Adam, 2025, "Cross-sectional interactions in cryptocurrency returns," International Review of Financial Analysis, Elsevier, volume 97, issue C, DOI: 10.1016/j.irfa.2024.103809.
• Zhang, Yaojie & He, Mengxi & Wang, Yudong & Wen, Danyan, 2025, "Model specification for volatility forecasting benchmark," International Review of Financial Analysis, Elsevier, volume 97, issue C, DOI: 10.1016/j.irfa.2024.103850.
• Chen, Juan & Xiao, Zuoping, 2025, "Is the business cycle getting hit by climate policy uncertainty in China?," Finance Research Letters, Elsevier, volume 71, issue C, DOI: 10.1016/j.frl.2024.106344.
• Jin, Yangsoo, 2025, "Distinctive impacts of ESG pillars on corporate financial performance: A random forest analysis of Korean listed firms," Finance Research Letters, Elsevier, volume 71, issue C, DOI: 10.1016/j.frl.2024.106395.
• Darvas, Zsolt & Schepp, Zoltán, 2025, "Forecasting the daily exchange rate of the UK pound sterling against the US dollar," Finance Research Letters, Elsevier, volume 71, issue C, DOI: 10.1016/j.frl.2024.106451.
• Proelss, Juliane & Schweizer, Denis & Sévigny, Stéphane, 2025, "PolitiFi: Just another meme, or instrumental for winning elections?," Finance Research Letters, Elsevier, volume 72, issue C, DOI: 10.1016/j.frl.2024.106533.
• Wan, Runqing & Xing, Bingxin Ann, 2025, "Can switching between predictive models and the historical average improve bond return predictability?," Finance Research Letters, Elsevier, volume 75, issue C, DOI: 10.1016/j.frl.2025.106874.
• Er, Selahattin Tolga & Kantorowicz, Jaroslaw, 2025, "Financial market reaction to the end of the right-wing populist government: The case of Poland," Finance Research Letters, Elsevier, volume 76, issue C, DOI: 10.1016/j.frl.2025.106906.
• Kim, Hongjoong & Park, Sungwon & Moon, Kyoung-Sook, 2025, "Markov regime-switching in pricing equity-linked securities: An empirical study for losses in HSCEI-linked products," Finance Research Letters, Elsevier, volume 76, issue C, DOI: 10.1016/j.frl.2025.106929.
• Zhang, Junyu & Ruan, Xinfeng, 2025, "Inferring jump dynamics from weekly options: A non-parametric method," Finance Research Letters, Elsevier, volume 76, issue C, DOI: 10.1016/j.frl.2025.106965.
• Perlin, Marcelo S. & Foguesatto, Cristian R. & Müller, Fernanda M. & Righi, Marcelo B., 2025, "Can AI beat a naive portfolio? An experiment with anonymized data," Finance Research Letters, Elsevier, volume 78, issue C, DOI: 10.1016/j.frl.2025.107126.
• Taussig, Roi D., 2025, "Cash duration, risk, and implications for stock returns," Finance Research Letters, Elsevier, volume 79, issue C, DOI: 10.1016/j.frl.2025.106787.
• Gong, Xue & Ji, Shidong & Zhang, Yaojie, 2025, "Attention to climate events and carbon price volatility," Finance Research Letters, Elsevier, volume 79, issue C, DOI: 10.1016/j.frl.2025.107253.
• Sharma, Shivani & Sharma, Udayan, 2025, "What does green bond prospectus communicate about credit spread?," Finance Research Letters, Elsevier, volume 79, issue C, DOI: 10.1016/j.frl.2025.107267.
• Li, Chenxing & Yang, Qiao, 2025, "An infinite hidden Markov model with GARCH for short-term interest rates," Finance Research Letters, Elsevier, volume 80, issue C, DOI: 10.1016/j.frl.2025.107294.
• Hornuf, Lars & Klerner, Johannes & Schweizer, Denis & Vrankar, Daniel, 2025, "Forecasting lithium mine output using satellite data," Finance Research Letters, Elsevier, volume 81, issue C, DOI: 10.1016/j.frl.2025.107433.
• Mokni, Khaled & Nammouri, Hela & Dhaoui, Chedia & Ben Jabeur, Sami, 2025, "Is a picture really worth a thousand words? Investigating the impact of investor sentiment on sustainable stocks," Finance Research Letters, Elsevier, volume 81, issue C, DOI: 10.1016/j.frl.2025.107520.
• Zhou, Zhiping & Wang, Kai, 2025, "War discourse predicts stock market volatility: A century of evidence," Finance Research Letters, Elsevier, volume 82, issue C, DOI: 10.1016/j.frl.2025.107567.
• Kaplanski, Guy, 2025, "The box office as a leading indicator of investor sentiment," Finance Research Letters, Elsevier, volume 85, issue PB, DOI: 10.1016/j.frl.2025.107990.
• Becsky-Nagy, Patrícia & Száz, János & Vidovics-Dancs, Ágnes & Váradi, Kata, 2025, "Pricing of compound exchange options," Finance Research Letters, Elsevier, volume 85, issue PC, DOI: 10.1016/j.frl.2025.108029.
• Nie, Chun-Xiao, 2025, "Trump tariff policies shock information flows across major global equity markets," Finance Research Letters, Elsevier, volume 86, issue PA, DOI: 10.1016/j.frl.2025.108319.
• Minami, Koutaroh, 2025, "Detecting bubbles via deterioration in machine learning predictive accuracy," Finance Research Letters, Elsevier, volume 86, issue PB, DOI: 10.1016/j.frl.2025.108424.
• Teng, Huei-Wen & Huang, Hsin-Pei & Shih, Yu-Chuan, 2025, "Tail risk in Bitcoin under the Basel framework," Finance Research Letters, Elsevier, volume 86, issue PC, DOI: 10.1016/j.frl.2025.108528.
• Koutmos, Dimitrios & Gunay, Samet & Payne, James E., 2025, "Market expectations and the holding behaviors of bitcoin whales, dolphins, and minnows," Finance Research Letters, Elsevier, volume 86, issue PE, DOI: 10.1016/j.frl.2025.108590.
• Mananga, Pierre Nkou & Lin, Shiqiang & Zhang, Hairui, 2025, "A network approach to interbank contagion risk in South Africa," Journal of Financial Stability, Elsevier, volume 77, issue C, DOI: 10.1016/j.jfs.2025.101386.
• Eboli, Mario, 2025, "Systemic risk in centralised interbank networks," Journal of Financial Stability, Elsevier, volume 81, issue C, DOI: 10.1016/j.jfs.2025.101471.
• Nguyen, Harvey & Pham, Anh Viet & Pham, Man Duy (Marty) & Pham, Mia Hang, 2025, "Climate change and corporate credit worthiness: International evidence," Global Finance Journal, Elsevier, volume 64, issue C, DOI: 10.1016/j.gfj.2024.101073.
• Liu, Dan, 2025, "Seeing is believing: Forecasting oil market returns with artificial intelligence-powered visual climate change perception," Global Finance Journal, Elsevier, volume 68, issue C, DOI: 10.1016/j.gfj.2025.101174.
• Yuan, Ying & Qu, Yong & Qiao, Sijia, 2025, "Equity premium prediction: A constraint-based predictor decomposition approach," Global Finance Journal, Elsevier, volume 68, issue C, DOI: 10.1016/j.gfj.2025.101199.
• Padha, Vimarsh & Chaubal, Aditi, 2025, "Multiscale foreign exchange dynamics in India: A wavelet approach," International Economics, Elsevier, volume 184, issue C, DOI: 10.1016/j.inteco.2025.100652.
• Zhou, Mingtao & Ma, Yong, 2025, "Climate risk and predictability of global stock market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 101, issue C, DOI: 10.1016/j.intfin.2025.102135.
• Cakici, Nusret & Zaremba, Adam, 2025, "Accounting vs technical information: what matters more for stock return predictability?," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 104, issue C, DOI: 10.1016/j.intfin.2025.102207.
• M’bakob, Gilles Brice & Mandeng ma Ntamack, Jules & Mfouapon, Georges Kriyoss, 2025, "Anticipated psychological spreads: Cryptocurrencies’ hidden short-term monitors and implications for price forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 104, issue C, DOI: 10.1016/j.intfin.2025.102224.
• Xu, Dezhong & Li, Bin & Singh, Tarlok & Chen, Xiaoyue & Li, Jinze, 2025, "Cross-market overnight time-series momentum," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 105, issue C, DOI: 10.1016/j.intfin.2025.102239.
• Sapkota, Niranjan, 2025, "The crypto collapse chronicles: Decoding cryptocurrency exchange defaults," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 99, issue C, DOI: 10.1016/j.intfin.2024.102093.
• Leong, Minhao & Alexeev, Vitali & Kwok, Simon, 2025, "Managing cryptocurrency risk exposures in equity portfolios: Evidence from high-frequency data," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 99, issue C, DOI: 10.1016/j.intfin.2025.102123.
• Beckmann, Joscha & Czudaj, Robert L., 2025, "Fundamental determinants of exchange rate expectations," International Journal of Forecasting, Elsevier, volume 41, issue 3, pages 1003-1021, DOI: 10.1016/j.ijforecast.2024.09.004.
• Bauwens, Luc & Xu, Yongdeng, 2025, "The contribution of realized variance–covariance models to the economic value of volatility timing," International Journal of Forecasting, Elsevier, volume 41, issue 3, pages 1165-1183, DOI: 10.1016/j.ijforecast.2024.11.010.
• Samartzis, Panagiotis, 2025, "Predicting the relative performance among financial assets: A comparative analysis of different approaches," International Journal of Forecasting, Elsevier, volume 41, issue 4, pages 1428-1449, DOI: 10.1016/j.ijforecast.2024.12.008.
• Degiannakis, Stavros & Kafousaki, Eleftheria, 2025, "Disaggregating VIX," International Journal of Forecasting, Elsevier, volume 41, issue 4, pages 1559-1588, DOI: 10.1016/j.ijforecast.2025.01.007.
• Cakici, Nusret & Fieberg, Christian & Metko, Daniel & Zaremba, Adam, 2025, "Factor momentum versus price momentum: Insights from international markets," Journal of Banking & Finance, Elsevier, volume 170, issue C, DOI: 10.1016/j.jbankfin.2024.107332.
• Afik, Zvika & Galil, Koresh, 2025, "Have ratings become more accurate?," Journal of Banking & Finance, Elsevier, volume 170, issue C, DOI: 10.1016/j.jbankfin.2024.107337.
• Dumitru, Ana Maria H. & Hizmeri, Rodrigo & Izzeldin, Marwan, 2025, "Forecasting the realized variance in the presence of intraday periodicity," Journal of Banking & Finance, Elsevier, volume 170, issue C, DOI: 10.1016/j.jbankfin.2024.107342.
• Liu, Yunting & Zhu, Yandi, 2025, "Good idiosyncratic volatility, bad idiosyncratic volatility, and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, volume 170, issue C, DOI: 10.1016/j.jbankfin.2024.107343.
• Feng, Guanhao & He, Xin & Wang, Yanchu & Wu, Chunchi, 2025, "Predicting individual corporate bond returns," Journal of Banking & Finance, Elsevier, volume 171, issue C, DOI: 10.1016/j.jbankfin.2024.107372.
• Fragkiskos, Apollon & Krasotkina, Olga & Spilker, Harold D. & Wermers, Russ, 2025, "Private Equity Fund Performance: A Time-Series Approach," Journal of Banking & Finance, Elsevier, volume 177, issue C, DOI: 10.1016/j.jbankfin.2025.107470.
• Lehkonen, Heikki & Heimonen, Kari & Pukthuanthong, Kuntara, 2025, "Media tone is a priced risk factor in currency markets," Journal of Banking & Finance, Elsevier, volume 180, issue C, DOI: 10.1016/j.jbankfin.2025.107542.
• Beckmeyer, Heiner & Wiedemann, Timo, 2025, "All Days Are Not Created Equal: Understanding Momentum by Learning to Weight Past Returns," Journal of Banking & Finance, Elsevier, volume 181, issue C, DOI: 10.1016/j.jbankfin.2025.107565.
• Kieren, Pascal & König-Kersting, Christian & Schmidt, Robert & Trautmann, Stefan & Heinicke, Franziska, 2025, "First-order and higher-order inflation expectations: Evidence about Households and Firms," Journal of Economic Behavior & Organization, Elsevier, volume 233, issue C, DOI: 10.1016/j.jebo.2025.106988.
• Dias, Marco Antonio Guimarães & Borges, Roberto Evelim Penha, 2025, "Valuing oil reserve volumes under price uncertainty," Journal of Economics and Business, Elsevier, volume 137, issue C, DOI: 10.1016/j.jeconbus.2025.106277.
• Horvath, Ferenc, 2025, "Arbitrage-based recovery," Journal of Financial Economics, Elsevier, volume 163, issue C, DOI: 10.1016/j.jfineco.2024.103969.
• Barroso, Pedro & Detzel, Andrew & Maio, Paulo, 2025, "The volatility puzzle of the beta anomaly," Journal of Financial Economics, Elsevier, volume 165, issue C, DOI: 10.1016/j.jfineco.2025.103994.
• Golez, Benjamin & Koudijs, Peter, 2025, "Equity duration and predictability," Journal of Financial Economics, Elsevier, volume 172, issue C, DOI: 10.1016/j.jfineco.2025.104114.
• Yao, Xiaoyang & Maimaitijiang, Sairidaer & Li, Jianfeng & Le, Wei, 2025, "How financial markets respond to climate policy uncertainty: A dynamic resilience analysis," Journal of Commodity Markets, Elsevier, volume 39, issue C, DOI: 10.1016/j.jcomm.2025.100490.
• Bermpei, Theodora & Triantafyllou, Athanasios, 2025, "Supply and Demand shocks: the short-term and long-term drivers of oil price uncertainty," Journal of Commodity Markets, Elsevier, volume 39, issue C, DOI: 10.1016/j.jcomm.2025.100495.
• Kiohos, Apostolos & Stoupos, Nikolaos, 2025, "Monetary alignment or divergence? - Exchange rates and economic dynamics in non-euro European countries," The Journal of Economic Asymmetries, Elsevier, volume 32, issue C, DOI: 10.1016/j.jeca.2025.e00421.
• Mili, Mehdi & Sohrab, Ebrahim & Hamza, Tahar, 2025, "Green transitions and asymmetric volatility spillovers: A time-varying GAS copula analysis of clean and fossil energy markets," The Journal of Economic Asymmetries, Elsevier, volume 32, issue C, DOI: 10.1016/j.jeca.2025.e00439.
• Shi, Qi, 2025, "Technical indicators and aggregate stock returns: An updated look," Journal of Multinational Financial Management, Elsevier, volume 77, issue C, DOI: 10.1016/j.mulfin.2025.100898.
• Liu, Zechu & Nikitopoulos, Christina Sklibosios & Phua, Kenny & Wang, Jianxin, 2025, "Data-driven monetary policy: Evidence from the Bank of Japan’s equity purchase program," Pacific-Basin Finance Journal, Elsevier, volume 90, issue C, DOI: 10.1016/j.pacfin.2024.102615.