Research classified by Journal of Economic Literature (JEL) codes

2026

• Gong, Xue & Peng, Jiahao & Li, Xiaodan, 2026, "Climate risk meets machine learning: Forecasting energy stock index volatility," Energy Economics, Elsevier, volume 161, issue C, DOI: 10.1016/j.eneco.2026.109495.
• Aloui, Riadh & Ben Jabeur, Sami & Bouden, Yasmine & Moubarki, Lassaad, 2026, "Geopolitical fragmentation, climate risk, and crude oil price dynamics: Evidence from TVP-VAR-SV and causal forest models," Energy Policy, Elsevier, volume 218, issue C, DOI: 10.1016/j.enpol.2026.115531.
• Klinkowska, Olga & Zadorozhna, Olha, 2026, "The yield curve strikes back: New evidence of its predictive power for economic activity and inflation," International Review of Financial Analysis, Elsevier, volume 113, issue C, DOI: 10.1016/j.irfa.2026.105128.
• Mercik, Aleksander & Zaremba, Adam & Demir, Ender, 2026, "Crypto factor zoo (.Zip)," International Review of Financial Analysis, Elsevier, volume 113, issue C, DOI: 10.1016/j.irfa.2026.105137.
• Ben Amar, Walid & Ge, Wenxia & Lu, Lei & Qi, Zhen, 2026, "Are climate risk disclosures in earnings conference calls relevant to analysts?," International Review of Financial Analysis, Elsevier, volume 117, issue C, DOI: 10.1016/j.irfa.2026.105213.
• Grebe, Leonard Nils, 2026, "Beyond the replication crisis of weekly seasonality: Introducing the uncertainty structure hypothesis," International Review of Financial Analysis, Elsevier, volume 117, issue C, DOI: 10.1016/j.irfa.2026.105238.
• Malladi, Rama K., 2026, "Regime vs. shock: A machine learning approach to the market timing puzzle," International Review of Financial Analysis, Elsevier, volume 117, issue C, DOI: 10.1016/j.irfa.2026.105252.
• Fiszeder, Piotr & Małecka, Marta, 2026, "Forecast performance of robust multivariate range-based GARCH models: Evidence from oil, gold, equity, and Bitcoin markets," International Review of Financial Analysis, Elsevier, volume 117, issue C, DOI: 10.1016/j.irfa.2026.105260.
• Hong, Shaopeng & Shi, Huihong, 2026, "Tail risk forecasting for crude oil futures under market stress: New insights from MES regression," Finance Research Letters, Elsevier, volume 102, issue C, DOI: 10.1016/j.frl.2026.110096.
• Llacay, Bàrbara & Peffer, Gilbert, 2026, "From value-at-risk to expected shortfall: An agent-based analysis of market stability," Finance Research Letters, Elsevier, volume 104, issue C, DOI: 10.1016/j.frl.2026.110174.
• Li, Jupeng & Hou, Weijie & Zhang, Zongxin, 2026, "A coupled autoregressive extreme-value model for dynamic tail risk with risk spirals," Finance Research Letters, Elsevier, volume 105, issue C, DOI: 10.1016/j.frl.2026.110187.
• Kim, Taeyun, 2026, "Carrying regime uncertainty forward in cryptocurrency tail-risk forecasting," Finance Research Letters, Elsevier, volume 106, issue C, DOI: 10.1016/j.frl.2026.110286.
• Kwon, Yein & Kim, Hongjoong & Moon, Kyoung-Sook, 2026, "Cluster-based Adaptive Generation for imbalanced financial data," Finance Research Letters, Elsevier, volume 106, issue C, DOI: 10.1016/j.frl.2026.110288.
• Bonato, Matteo & Cepni, Oguzhan & Gupta, Rangan & Pierdzioch, Christian, 2026, "Credit standards: A new predictor of U.S. stock market realized volatility," Finance Research Letters, Elsevier, volume 106, issue C, DOI: 10.1016/j.frl.2026.110298.
• Lacombe, Donald J. & Yuan, Yuan & Qian, Pengyu, 2026, "A Bayesian Student-t specification for the MF2-GARCH model with applications in equity and crypto markets," Finance Research Letters, Elsevier, volume 107, issue C, DOI: 10.1016/j.frl.2026.110283.
• Wang, Chenguang & Yao, Kai & Liu, Jinpeng, 2026, "Salience, asymmetric effect and stock returns," Finance Research Letters, Elsevier, volume 107, issue C, DOI: 10.1016/j.frl.2026.110360.
• Huang, Junhui & Wu, Jianbin, 2026, "Do LLM-based overnight news indicators add value beyond A50 futures?," Finance Research Letters, Elsevier, volume 107, issue C, DOI: 10.1016/j.frl.2026.110367.
• Lin, Tiantian & Wang, Liying, 2026, "Stability breeds clarity? Top management team stability and analyst forecast accuracy," Finance Research Letters, Elsevier, volume 91, issue C, DOI: 10.1016/j.frl.2025.109411.
• Gong, Xue & Yang, Ruotong & Xing, Lu, 2026, "Typhoon events and stock market volatility: A climate risk perspective," Finance Research Letters, Elsevier, volume 99, issue C, DOI: 10.1016/j.frl.2026.109865.
• Bie, Siyu & Feng, Guanhao & Guo, Naixin & He, Jingyu, 2026, "Can news predict firm bankruptcy?," Journal of Financial Markets, Elsevier, volume 79, issue C, DOI: 10.1016/j.finmar.2025.101002.
• Li, Zhiyong & Wang, Yining & Qiao, Fang & Yu, Mei, 2026, "Convertible bond return predictability with machine learning," Journal of Financial Markets, Elsevier, volume 79, issue C, DOI: 10.1016/j.finmar.2025.101010.
• Wang, Yicheng & Lera, Sandro Claudio, 2026, "Meta-learning for return prediction in shifting market regimes," Journal of Financial Markets, Elsevier, volume 79, issue C, DOI: 10.1016/j.finmar.2025.101042.
• Ross, Landon J. & Horn, Jim & Pilanci, Mert & Luo, Kaihong & Zhou, Guofu, 2026, "Bottom up vs. top down: What does firm 10-K tell us?," Journal of Financial Markets, Elsevier, volume 79, issue C, DOI: 10.1016/j.finmar.2026.101070.
• Hibbeln, Martin T. & Kopp, Raphael M. & Urban, Noah, 2026, "Predictive multiplicity, procedural multiplicity, and heterogeneous machine learning ensembles in recovery rate forecasting," Journal of Financial Stability, Elsevier, volume 83, issue C, DOI: 10.1016/j.jfs.2026.101510.
• Guo, Norman (Xuxi), 2026, "Decoding mutual fund performance: Dynamic return patterns via deep learning," Journal of Financial Stability, Elsevier, volume 84, issue C, DOI: 10.1016/j.jfs.2026.101532.
• Faragher, Richard G.A. & Freimann, Arne & Ruß, Jochen, 2026, "Scanning the horizon: integrating expert knowledge into the calibration of stochastic mortality models," Insurance: Mathematics and Economics, Elsevier, volume 127, issue C, DOI: 10.1016/j.insmatheco.2026.103230.
• Charles, Amélie & Darné, Olivier, 2026, "Forecasting volatility and risk management in natural gas markets," International Economics, Elsevier, volume 187, issue C, DOI: 10.1016/j.inteco.2026.100714.
• Guidolin, Massimo & Ionta, Serena, 2026, "Predictive sorting of cryptocurrencies based on fundamentals and sentiment," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 107, issue C, DOI: 10.1016/j.intfin.2026.102285.
• Ma, Yong & Zhang, Shaofeng & Zhou, Mingtao & Zhou, Xiaozhou, 2026, "Do recession fears help predict stock market volatility? International evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 109, issue C, DOI: 10.1016/j.intfin.2026.102331.
• Gallo, Lindsey A. & Jin, Hengda & Sridharan, Suhas A., 2026, "Unraveling the time-series dynamics between aggregate earnings and GDP," Journal of Accounting and Economics, Elsevier, volume 81, issue 1, DOI: 10.1016/j.jacceco.2025.101806.
• Botta, Corrado & Cerqueti, Roy & Savona, Roberto, 2026, "Gas price caps and volatility transmission in commodity and equity markets," Journal of Banking & Finance, Elsevier, volume 184, issue C, DOI: 10.1016/j.jbankfin.2025.107614.
• Osler, Carol & Turnbull, Alasdair, 2026, "Dealer misconduct and price dynamics at the fix," Journal of Banking & Finance, Elsevier, volume 185, issue C, DOI: 10.1016/j.jbankfin.2026.107641.
• Turetken, Aysun Can & Leippold, Markus, 2026, "Battle of transformers: Adversarial attacks on financial sentiment models," Journal of Banking & Finance, Elsevier, volume 188, issue C, DOI: 10.1016/j.jbankfin.2026.107698.
• Schwertfeger, Lennart & Vogt, Bodo, 2026, "Arbitrage trading between decentral and central cryptocurrency exchanges," Journal of Banking & Finance, Elsevier, volume 188, issue C, DOI: 10.1016/j.jbankfin.2026.107721.
• 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.
• Jang, Jaehee & Wu, Xiaoying, 2026, "Non-English textual analysis with large language models: Analysts’ use of MD&A sentiment in earnings forecasting," Journal of Contemporary Accounting and Economics, Elsevier, volume 22, issue 1, DOI: 10.1016/j.jcae.2025.100524.
• Couleau, Anabelle & Trujillo-Barrera, Andres & Etienne, Xiaoli, 2026, "Intraday market momentum in coffee futures: Dynamics and drivers," Journal of Commodity Markets, Elsevier, volume 41, issue C, DOI: 10.1016/j.jcomm.2025.100537.
• Li, Jianfeng & Yao, Xiaoyang & Zhong, Yi & Wang, Hui, 2026, "Volatility connectedness and its sources between crude oil and commodity sectors: Evidence from China," Journal of Commodity Markets, Elsevier, volume 42, issue C, DOI: 10.1016/j.jcomm.2026.100558.
• Candia, Claudio & Herrera, Rodrigo & Bień-Barkowska, Katarzyna, 2026, "Modeling tail risk spillovers in commodity markets: The dominant role of energy," Journal of Commodity Markets, Elsevier, volume 43, issue C, DOI: 10.1016/j.jcomm.2026.100577.
• Farag, Markos, 2026, "Threshold effects in oil–metal volatility spillovers: Evidence from industrial and precious metals," Resources Policy, Elsevier, volume 119, issue C, DOI: 10.1016/j.resourpol.2026.105983.
• Nie, Chun-Xiao, 2026, "The short-term impact of the April 2025 tariff shock on China’s stock market: Dynamic network evidence of correlation structure changes," Pacific-Basin Finance Journal, Elsevier, volume 100, issue C, DOI: 10.1016/j.pacfin.2026.103341.
• Li, Xingyi & Liu, Zhuang & Liu, Yujun & Zhu, Shushang & Yan, Jingzhou, 2026, "Predicting cryptocurrency returns with machine learning: Evidence from high-dimensional factor modeling," Pacific-Basin Finance Journal, Elsevier, volume 96, issue C, DOI: 10.1016/j.pacfin.2025.103033.
• Choi, Insu & Lim, Soyeong & Kim, Seoyeon & Choi, Yeona & Han, Subin & Kim, Woo Chang, 2026, "Metric-based technical indicators for yield forecasting," Pacific-Basin Finance Journal, Elsevier, volume 98, issue C, DOI: 10.1016/j.pacfin.2026.103169.
• Lei, Xiangshan & Kong, Dongmin & Xu, Limin, 2026, "Small trades, order splitting, and stock returns: Evidence from China's stock markets," Pacific-Basin Finance Journal, Elsevier, volume 99, issue C, DOI: 10.1016/j.pacfin.2026.103196.
• 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.
• Gan, Huiqi, 2026, "Revisions of peer firms’ analyst forecasts and corporate investment," The Quarterly Review of Economics and Finance, Elsevier, volume 106, issue C, DOI: 10.1016/j.qref.2026.102124.
• Mathur, Sachin & Joshipura, Mayank & Kumar, Raman, 2026, "The surprising power of the pre-IPO grey market to mitigate information asymmetry and winner’s curse for retail investors," The Quarterly Review of Economics and Finance, Elsevier, volume 109, issue C, DOI: 10.1016/j.qref.2026.102210.
• 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.
• Hutabarat, Simon Poltak Hamonangan, 2026, "Bitcoin mining and renewable energy: Navigating sustainability, profitability, and electricity market dynamics," Renewable Energy, Elsevier, volume 274, issue C, DOI: 10.1016/j.renene.2026.126178.
• De Angelis, Luca & Monasterolo, Irene & Zanin, Luca, 2026, "Look up and ahead: How climate scenarios affect European sovereign credit risk," International Review of Economics & Finance, Elsevier, volume 107, issue C, DOI: 10.1016/j.iref.2026.105057.
• Yu, Dan-Liou & Hu, Ming-Che & Huang, Alex YiHou & Yu, Pei-Duo & Huang, Siao-Syuan, 2026, "Exploring stock returns in financial markets with interpretable financial variables and graph neural networks," International Review of Economics & Finance, Elsevier, volume 107, issue C, DOI: 10.1016/j.iref.2026.105113.
• Jiang, Yifu & Liu, Jine, 2026, "Robust investment portfolio management for dynamic financial markets using Bayesian neural networks," International Review of Economics & Finance, Elsevier, volume 108, issue C, DOI: 10.1016/j.iref.2026.105244.
• Wisniewski, Tomasz Piotr & Shaker, Emma, 2026, "Did hard facts or journalistic opinion predict stock prices during the COVID-19 pandemic?," International Review of Economics & Finance, Elsevier, volume 108, issue C, DOI: 10.1016/j.iref.2026.105273.
• Jahangiri, Eshagh & Corazza, Marco, 2026, "Sentiment-based stock price prediction in developing countries: Evidence from Iran," International Review of Economics & Finance, Elsevier, volume 109, issue C, DOI: 10.1016/j.iref.2026.105423.
• Dammak, Wael & Trabelsi Karoui, Ali, 2026, "Technical and fundamental approaches to evaluate performance: Market behaviors with hidden markov models in the French market," International Review of Economics & Finance, Elsevier, volume 110, issue C, DOI: 10.1016/j.iref.2026.105519.
• Fasanya, Ismail O. & Oyewole, Oluwatomisin J. & Periola, Ololade & Adebiyi, Sulaimon O., 2026, "Monetary policy uncertainty, systemic risk, and European sustainable markets," International Review of Economics & Finance, Elsevier, volume 111, issue C, DOI: 10.1016/j.iref.2026.105645.
• Sing, Tien Foo & Zhang, Zhi Min, 2026, "Effects of regulatory reforms on banking affiliations and conflict of interest," International Review of Economics & Finance, Elsevier, volume 111, issue C, DOI: 10.1016/j.iref.2026.105707.
• 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.
• Hamida, Amal Ben & de Peretti, Christian & Belkacem, Lotfi, 2026, "Benford’s law and intraday microstructure anomalies: Forecasting market movements with high-frequency data," Research in International Business and Finance, Elsevier, volume 84, issue C, DOI: 10.1016/j.ribaf.2026.103302.
• Chen, Yun & Ouyang, Minhua, 2026, "Does climate policy uncertainty exacerbate systemic risk contagion among banks? Evidence from China," Research in International Business and Finance, Elsevier, volume 88, issue C, DOI: 10.1016/j.ribaf.2026.103453.
• Kaukonen, Ville & Vaihekoski, Mika & Saarto, Annika, 2026, "Impact of airborne pollen on stock market volatility," Research in International Business and Finance, Elsevier, volume 90, issue C, DOI: 10.1016/j.ribaf.2026.103529.
• Sangyup Choi & Jongho Park & Kwangyong Park, 2026, "US Monetary Policy, Exchange Rates, and Delayed Portfolio Adjustments," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2026-43, Jun.
• Mohamed Chikhi & Claude Diebolt & Tapas Mishra & Abdullah Alhussaini, 2026, "Forecasting Bitcoin Price Movements: Evidence on Memory, Path Dependence and Persistence," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 76, issue 1, pages 54-86, June.
• Yunus GÃœLCÃœ, 2026, "Examining The Determinants of Food Prices in Türkiye with the SVAR Model," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 1, DOI: 10.25295/fsecon.1686832.
• Ali Kemal BAÅžBUÄž, 2026, "Investor Sensitivity to Market Risks: A Comparison of Developed and Developing Countries," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 1, DOI: 10.25295/fsecon.1656806.
• Duygu YOLCU KARADAM, 2026, "Exchange-Rate-Investment Link: Industry-Level Evidence for OECD Countries," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 2, DOI: 10.25295/fsecon.1841127.
• Gökhan ÖZKUL, 2026, "Financial Deepening, Access, Efficiency, and Risk as Determinants of Economic Growth Volatility: Regional Evidence from Türkiye," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 2, DOI: 10.25295/fsecon.1892006.
• Marcin Dec, 2026, "Extracting risk free interest rate expectations in a less liquid government bond markets," GRAPE Working Papers, GRAPE Group for Research in Applied Economics, number 113.
• Kirill A. Darchev, 2026, "Liquidity Factor in Ruble Bond Pricing," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 82-99, April, DOI: 10.31107/2075-1990-2026-2-82-99.
• Eli A. Isaev & Elena A. Fedchenko & Lyubov V. Gusarova & Yuriy S. Rylov & Darya V. Rudneva & Dilyara R. Mutagirova, 2026, "Managing Available Balances of the Single Treasury Account: The Need for Universal Service," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 4, pages 81-99, August, DOI: 10.31107/2075-1990-2026-4-81-99.
• Maria Girich & Ivan Ermokhin & Antonina Levashenko & Olga Magomedova & Kirill Chernovol & Diana Golovanova, 2026, "How Russia legalizes crypto market; Approaches to data regulation in the US and the EU: should it be stricter or weaker," Digital monitoring, Gaidar Institute for Economic Policy, issue 4, pages 1-6, April.
• Maria Girich & Ivan Ermokhin & Antonina Levashenko & Olga Magomedova & Kirill Chernovol & Diana Golovanova, 2026, "Cybersecurity has become a barrier to trade, How AI transforms labor market, Recommendations for managing risks of agent AI, Is it possible to recover abandoned bitcoins through courts," Digital monitoring, Gaidar Institute for Economic Policy, issue 5, pages 1-10, May.
• Maria Girich & Ivan Ermokhin & Antonina Levashenko & Olga Magomedova & Kirill Chernovol & Diana Golovanova, 2026, "How Russia legalizes crypto market; Approaches to data regulation in the US and the EU: should it be stricter or weaker," Digital monitoring (In Russian), Gaidar Institute for Economic Policy, issue 4, pages 1-7, April.
• Maria Girich & Ivan Ermokhin & Antonina Levashenko & Olga Magomedova & Kirill Chernovol & Diana Golovanova, 2026, "Cybersecurity has become a barrier to trade, How AI transforms labor market, Recommendations for managing risks of agent AI, Is it possible to recover abandoned bitcoins through courts," Digital monitoring (In Russian), Gaidar Institute for Economic Policy, issue 5, pages 1-10, May.
• Yongdeng Xu & Juyi Lyu & Wenna Lu, 2026, "Adaptive LASSO-MGARCH for Multivariate Volatility Forecasting," Mathematics, MDPI, volume 14, issue 6, pages 1-14, March.
• G Barone-Adesi & M Bonollo & V Damato & F Luce, 2026, "Risk Governance Through Long-Term Risk Modelling: An Enhanced Filtered Historical Simulation Approach for Financial Institutions," Working Papers, HAL, number hal-05487195, Jan.
• Yasin Buyukkor, 2026, "Deep Learning in Financial Time Series: A Comparative Analysis of RNN, GRU, LSTM, and Hybrid Models," Croatian Economic Survey, The Institute of Economics, Zagreb, volume 28, issue 1, pages 5-38, June.

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, Academic Publishing UNWE, 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.
• Hafner, Christian & Harvey, Andrew & Wang, Linqi, 2025, "Modeling prices from speculative markets: bursting bubbles or deflating balloons?," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2025008, Apr.
• Alexey Litvinenko & Anna Litvinenko & Samuli Saarinen, 2025, "Applying Forecasting Methods to Accrual-Based and Cash-Based Ratio Analysis," 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.
• Viral V. Acharya & Markus K. Brunnermeier & Diane Pierret, 2025, "Systemic Risk Measures: From the Panic of 1907 to the Banking Stress of 2023," Annual Review of Financial Economics, Annual Reviews, volume 17, issue 1, pages 1-26, November, DOI: 10.1146/annurev-financial-112823-01.
• Mona MAHYAOUI & Malak LAZRAK & Rachid KRAMI, 2025, "Modeling volatility with multivariate GARCH models through the integration of deep Learning: A literature review," International Journal of Accounting, Finance, Auditing, Management and Economics, Faculté d'Économie et de Gestion, Université Ibn Tofaïl de Kénitra, volume 6, issue 11, pages 765-778.
• Hamza TAGHZOUTI & Aziz BABOUNIA & Acharf EL IDRISSI & Abdellatif TAGHZOUTI, 2025, "L'impact de l'autonomie décisionnelle sur la performance des filiales des hypo-groupes : Éclairages croisés de la sélectivité socio-émotionnelle et des dynamiques décisionnelles," International Journal of Accounting, Finance, Auditing, Management and Economics, Faculté d'Économie et de Gestion, Université Ibn Tofaïl de Kénitra, volume 6, issue 13, pages 188-204.
• 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.
• Ricardo Crisostomo, 2025, "Quantifying firm-level risks from nature deterioration," Papers, arXiv.org, number 2501.14391, Jan, revised Apr 2025.
• Victor Olkhov, 2025, "Markowitz Variance May Vastly Undervalue or Overestimate Portfolio Variance and Risks," Papers, arXiv.org, number 2507.21824, Jul.
• Arzu Huseynova & Huseyn Salimli, 2025, "The role of digitalization in the economy," The Scientific-Analytical Journal "Economic Reforms", Center for Analysis of Economic Reforms and Communication of the Republic of Azerbaijan, volume 2025, issue 2, pages 30-50, February, DOI: 10.30546/2790-2196.02.13.2025.3018.
• 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.
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• 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.
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• 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.
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• 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.
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• 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.
• Bryan T. Kelly & Boris Kuznetsov & Semyon Malamud & Teng Andrea Xu, 2025, "Artificial Intelligence Asset Pricing Models," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-08, Jan.
• Junxiong Gao & Alberto Plazzi & Rossen I. Valkanov & Yan Xu, 2025, "Fiscal Imbalances and Asset Returns: Cross-Sector Fluctuations under the Aggregate Budget Constraint," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-102, Dec.
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• 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.
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• Bauwens, Luc & Xu, Yongdeng, 2025, "DCC- and DECO-HEAVY: Multivariate GARCH models based on realized variances and correlations," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 3345, Jan, DOI: https://doi.org/10.1016/j.ijforecas.
• Bauwens, Luc & Otranto, Edoardo, 2025, "Realized covariance models with time-varying parameters and spillover effects," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 3347, Mar, DOI: https://doi.org/10.1177/1471082X251.
• Bauwens, Luc & Xu, Yongdeng, 2025, "The contribution of realized variance–covariance models to the economic value of volatility timing," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 3348, Jun, DOI: https://doi.org/10.1016/j.ijforecas.
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• Bertrand, Jean-Charles & Battistella, Arnaud & Coqueret, Guillaume & McLoughlin, Nicholas, 2025, "The Multiverse Across Asset Classes: Design Uncertainty in Asset Allocations," HEC Research Papers Series, HEC Paris, number 1612, Dec, DOI: 10.2139/ssrn.5919042.
• 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.
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• 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.
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• 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.
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• 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.
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