Research classified by Journal of Economic Literature (JEL) codes

2026

• Andrea Bastianin & Chiara Casoli & Evzen Kocenda & Xiao Li, 2026, "Extreme Connectedness among Energy Transition Metals and Commodity Markets," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2026/02, Apr, revised Apr 2026.
• Andrea Bastianin & Chiara Casoli & Evzen Kocenda & Xiao Li, 2026, "Extreme Connectedness among Energy Transition Metals and Commodity Markets," Working Papers, Fondazione Eni Enrico Mattei, number 2026.13, Apr.
• Dong Hwan Oh & Andrew J. Patton, 2026, "Skill and Efficiency in the U.S. Mutual Fund Industry," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2026-032, Mar, DOI: 10.17016/FEDS.2026.032.
• Borel Ahonon & Guillaume Roussellet, 2026, "When Long-Run Trends Are Unknown: Bond Pricing Implications," Staff Reports, Federal Reserve Bank of New York, number 1187, Mar, DOI: 10.59576/sr.1187.
• Marcin Dec, 2026, "When 3% means nothing: Calibrating escalation limits to a bank’s own forecasting error distribution," GRAPE Working Papers, GRAPE Group for Research in Applied Economics, number 114.
• 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, "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.
• Lucija Brekalo Mandić & Nikolina Maričević, 2026, "Primjena optimizirane diskretizacije zasnovane na minimizaciji unutargrupne varijance radi ocjene inherentnog rizika od pranja novca i financiranja terorizma," Pregledi, Hrvatska narodna banka, Hrvatska, number 50, Apr.
• Claris Shoko & Ntebogang Moroke & Caston Sigauke & Katleho Makatjane, 2026, "Real-time forecasting of FTSE/JSE-top40 using deep neural models: GPT-SNN-PPO vs. LSTM," Romanian Journal of Economics, Institute of National Economy, volume 62, issue 1(71), pages 28-44, June.
• LI,Larry & MENG,Bo & LEI,Lei & YE,Jiabai & GUO,Jiemin, 2026, "The Impact of Industrial Value Chain Characteristics on Firms’ Financial Performance: Insights from the US Stock Market," IDE Discussion Papers, Institute of Developing Economies, Japan External Trade Organization(JETRO), number 928, Mar.
• Zongwu Cai & Wei Long, 2026, "A Robust Inference for Predictive Expectile Regression: An IVX-Based Approach," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202610, Mar, revised Mar 2026.
• Abhisek Mahanta & Naresh Chandra Sahu & Pradeep Kumar Behera, 2026, "Sustainable Indices Outperforming Traditional Indices in India: A Comparative Study Pre and During COVID-19," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, volume 33, issue 1, pages 213-261, March, DOI: 10.1007/s10690-024-09506-2.
• Müge Özdemir, 2026, "Asymmetric shock persistence in the OECD Stock Exchanges: New Insight from Quantile Exponential Smooth Transition Autoregression Approach," Computational Economics, Springer;Society for Computational Economics, volume 67, issue 2, pages 555-608, February, DOI: 10.1007/s10614-025-10889-1.
• Francesco Meglioli, 2026, "Measuring Contagion Within a Financial Network: A New Conditional Distance to Default Approach," Computational Economics, Springer;Society for Computational Economics, volume 67, issue 2, pages 1159-1201, February, DOI: 10.1007/s10614-025-10906-3.
• Jesús Enrique Molina-Muñoz & Pilar Soriano-Felipe, 2026, "Dynamic spillovers among policy uncertainty, financial markets and energy markets in developed and emerging economies," Economic Change and Restructuring, Springer, volume 59, issue 1, pages 1-33, February, DOI: 10.1007/s10644-025-09949-1.
• Maen F. Nsour, 2026, "Economic Consequences of War: Evidence from the Tel Aviv Stock Exchange," International Advances in Economic Research, Springer;International Atlantic Economic Society, volume 32, issue 1, pages 63-80, February, DOI: 10.1007/s11294-025-09944-2.
• Matteo Gatti & Wouter van der Wielen, 2026, "Public Financial Support and Access to Finance: Evidence from EIB Lending to Businesses," Journal of Financial Services Research, Springer;Western Finance Association, volume 69, issue 1, pages 39-79, April, DOI: 10.1007/s10693-026-00462-8.
• Simon Fritzsch & Felix Irresberger & Gregor Weiß, 2026, "Predicting option prices from their price history via machine learning," Review of Derivatives Research, Springer, volume 29, issue 1, pages 1-38, December, DOI: 10.1007/s11147-026-09228-9.
• Mohd Raagib Shakeel & Satyam Yadav & Musheer Ahmad, 2026, "Option pricing under regime-switching jump-diffusion dynamics with transaction costs: a neural SDE approach," Review of Derivatives Research, Springer, volume 29, issue 1, pages 1-70, December, DOI: 10.1007/s11147-026-09238-7.
• Hai-Tang Wu & Meng-Lan Yueh, 2026, "Cryptocurrency risk management using Lévy processes and time-varying volatility," Review of Quantitative Finance and Accounting, Springer, volume 66, issue 1, pages 33-61, January, DOI: 10.1007/s11156-025-01393-6.
• Louis R. Piccotti, 2026, "A multiscale estimator for pricing error decomposition in high-frequency financial markets," Review of Quantitative Finance and Accounting, Springer, volume 66, issue 2, pages 887-928, February, DOI: 10.1007/s11156-025-01417-1.
• Ruijun Bu & Jie Cheng & Fredj Jawadi & Yuyi Li & Abdoulkarim Idi Cheffou, 2026, "Extreme Movements and Volatility Regimes: A Copula-Based Endogenous Regime Switching Perspective," Review of Quantitative Finance and Accounting, Springer, volume 66, issue 4, pages 1643-1666, May, DOI: 10.1007/s11156-025-01438-w.
• Daniel Pastorek & Peter Albrecht, 2026, "ETF Settlement Clocks in Cryptocurrency Markets," MENDELU Working Papers in Business and Economics, Mendel University in Brno, Faculty of Business and Economics, number 2026-109, Feb.
• Olivier De Jonghe & Daniel Lewis, 2026, "We propose a new model in which relationship-specific effects or shocks are identified in a bipartite network under mild covariance restrictions, generalizing the influential Abowd et al. (1999) framework. For example, separate demand shocks are iden," Working Paper Research, National Bank of Belgium, number 492, Jun.
• Campbell R. Harvey & Alessio Sancetta & Yuqian Zhao, 2026, "What Threshold Should be Applied to Tests of Factor Models?," NBER Working Papers, National Bureau of Economic Research, Inc, number 34898, Feb.
• Antoine Didisheim & Bryan T. Kelly & Mohammad Pourmohammadi & Hanqing Tian, 2026, "The Inefficient Pricing of News," NBER Working Papers, National Bureau of Economic Research, Inc, number 35093, Apr.
• Lin William Cong & Ke Tang & Jingyuan Wang, 2026, "AlphaPortfolio: Goal-Oriented Investment Management Through Deep Reinforcement Learning," NBER Working Papers, National Bureau of Economic Research, Inc, number 35195, May.
• Sung Je Byun & Johnathan Loudis & Lawrence D.W. Schmidt, 2026, "A Tale of Two Market Returns: The Broad Market Factor and The Idiosyncratic Financial Factor," NBER Working Papers, National Bureau of Economic Research, Inc, number 35243, May.
• Sebil Olalekan Oshota & Iyabo A Olanrele, 2026, "Assessing the Impact of Multiple Exchange Rates on Macroeconomic Stability: Implications for Exchange Rate Unification in Nigeria," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 25-48, March.
• Giovanni Bonaccolto & Massimiliano Caporin & Syed Jawad Hussain Shahzad, 2026, "(Quantile) Spillover Indexes: Simulation-Based Evidence, Confidence Intervals and a Decomposition," Journal of Financial Econometrics, Oxford University Press, volume 24, issue 1, pages 1-021..
• Andriana Tugulea & Viorica Chirila, 2026, "Determinants of the Exchange Rate in Romania: An Empirical Evaluation," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 2, pages 727-735, February.
• Azhar Mohamad & Vincent Fromentin & Sarveshwar Kumar Inani & Arunava Bandyopadhyay, 2026, "When crises hit: Volatility, price discovery leadership, and causal linkages among WTI, Brent, and Shanghai crude oil futures," Journal of Asset Management, Palgrave Macmillan, volume 27, issue 3, pages 1-20, September, DOI: 10.1057/s41260-026-00447-1.
• Adedayo Ogunsanya, 2026, "Spillover exposure in North American banks: persistence, macroeconomic conditions, and network structure," Risk Management, Palgrave Macmillan, volume 28, issue 2, pages 1-27, May, DOI: 10.1057/s41283-026-00215-w.
• Si-Yao Wei & Kun-Liang Jiang & Wei-Xing Zhou, 2026, "Uncertainty and financial market resilience: evidence from China," Risk Management, Palgrave Macmillan, volume 28, issue 3, pages 1-26, September, DOI: 10.1057/s41283-026-00223-w.
• Jiageng Huang & Fei Wang, 2026, "Past and future: measurement, characteristics, and early warning of risk spillover between Chinese industry markets," Risk Management, Palgrave Macmillan, volume 28, issue 3, pages 1-30, September, DOI: 10.1057/s41283-026-00224-9.
• Hilal Yıldırır Keser & Oğuz Başol & Savaş Tarkun, 2026, "Climate fluctuations and financial stress: a frequency-dependent and asymmetric connectedness analysis of global precipitation," Risk Management, Palgrave Macmillan, volume 28, issue 3, pages 1-30, September, DOI: 10.1057/s41283-026-00228-5.
• Dominik Schulz & Yuanhua Feng & Christian Peitz & Oliver Kojo Ayensu, 2026, "Estimating, Forecasting and Backtesting a Family of Exponential and Other GARCH Models Using the fEGarch Package," Working Papers CIE, Paderborn University, CIE Center for International Economics, number 171, Mar.
• Shujie Li & Yuanhua Feng, 2026, "Dual-trend and dual long-memory time series modelling," Working Papers CIE, Paderborn University, CIE Center for International Economics, number 174, Mar.
• Oliver Kojo Ayensu & Yuanhua Feng & Dominik Schulz, 2026, "Well-known and recent long-memory GARCH models and their semiparametric extensions," Working Papers CIE, Paderborn University, CIE Center for International Economics, number 175, Jun.
• Aknouche, Abdelhakim & Francq, Christian & Goto, Yuichi, 2026, "Mixed difference integer-valued GARCH model for Z-valued time series," MPRA Paper, University Library of Munich, Germany, number 128358, Mar.
• Vidal Llauradó, Joan, 2026, "Latent Volatility Contagion in Rough Volatility Models," MPRA Paper, University Library of Munich, Germany, number 128734, Apr.
• Vidal Llauradó, Joan, 2026, "Dynamic Observability of Latent Contagion," MPRA Paper, University Library of Munich, Germany, number 128736, Apr.
• Vidal Llauradó, Joan, 2026, "Detecting Latent Volatility Contagion," MPRA Paper, University Library of Munich, Germany, number 128738, Apr.
• Kamat, Arati Uday, 2026, "Post-Rejection Follow-up Sampling: A Methodology for Counterfactual Outcome Measurement in Algorithmic DEX Trading," MPRA Paper, University Library of Munich, Germany, number 128870, Apr.
• Rogers, Mike, 2026, "Multi-Regime Observations Across Fifteen Digital Asset Windows," MPRA Paper, University Library of Munich, Germany, number 129071, May.
• Nugawela, N.P. Gayan, 2026, "THE YIELD EQUILIBRIUM PROTOCOL: Architecting Revenue Governance and NOI Protection," MPRA Paper, University Library of Munich, Germany, number 129202, Apr.
• Giovanni Bonaccolto & Massimiliano Caporin & Oguzhan Cepni & Rangan Gupta, 2026, "Forecasting Realized Volatility of State-Level Stock Markets of the United States: The Role of Sentiment," Working Papers, University of Pretoria, Department of Economics, number 202603, Feb.
• Pieter Nel & Renee van Eyden, 2026, "From News to Noise: Does Media Sentiment Drive Stock Market Volatility?," Working Papers, University of Pretoria, Department of Economics, number 202605, Feb.
• Piotr Mielus, 2026, "Volatility Modelling - What Drives Cee Currency Option Prices?," Prague Economic Papers, Prague University of Economics and Business, volume 2026, issue 1, pages 1-27, DOI: 10.18267/j.pep.906.
• Magdalena Cornejo & Walter Sosa Escudero, 2026, "Machine Learning and Shrinkage in Dynamic Panel Forecasting," Working Papers, Universidad de San Andres, Departamento de Economia, number 183, May, revised May 2026.
• Muthe Mathias Mwampashi & Christina Sklibosios Nikitopoulos, 2026, "Beyond the Mean: Examining Electricity Spot Price Distribution in Australia," The Energy Journal, , volume 47, issue 2, pages 209-254, March, DOI: 10.1177/01956574251369484.
• Le Thi Minh Huong & Younis Ahmed Ghulam & Tran Thi Yen Vinh, 2026, "Oil Prices and Equity Market Volatility in the Asia-Pacific Region: A Multivariate GARCH and Wavelet Coherence Approach," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, volume 20, issue 1, pages 64-96, May, DOI: 10.1177/00252921261430428.
• Luiz Eduardo Rocha & Wilfredo Leiva Maldonado, 2026, "Testing and Modeling Speculative Oil Price Bubbles: US and Global Markets," Working Papers, Department of Economics, University of São Paulo (FEA-USP), number 2026_08, Mar.
• Stan Hurn & Vance Martin & Peter C. B. Phillips & Jun Yu, 2026, "Teaching Financial Econometrics to Students Converting to Finance," Advanced Studies in Theoretical and Applied Econometrics, Springer, in: Eric Hillebrand & William Griffiths, "Teaching Econometrics", DOI: 10.1007/978-3-031-97942-2_4.
• Philippe Bertrand & Jean-luc Prigent, 2026, "On the performance of factor investing: an analysis based on constant mix and buy-and-hold strategies," Annals of Operations Research, Springer, volume 357, issue 1, pages 531-563, February, DOI: 10.1007/s10479-025-06644-2.
• Wongtawan Uthumrat & Napon Hongsakulvasu & Anin Rupp, 2026, "Cryptocurrency futures forecasting and dynamic hedging: evidence from bitcoin and ether using time-varying volatility models," Digital Finance, Springer, volume 8, issue 2, pages 1-38, June, DOI: 10.1007/s42521-026-00195-2.
• Burak Korkusuz, 2026, "Is complexity always better? A model-free assessment of range-based volatility estimators," Empirical Economics, Springer, volume 70, issue 3, pages 1-18, March, DOI: 10.1007/s00181-025-02873-3.
• Carlos Trucíos, 2026, "Hierarchical risk clustering versus traditional risk-based portfolios: an empirical out-of-sample comparison," Empirical Economics, Springer, volume 70, issue 3, pages 1-24, March, DOI: 10.1007/s00181-026-02900-x.
• Ismail Jirou & Ikram Jebabli & Mohammad Isleimeyyeh & Elie Bouri, 2026, "Multivariate transmission of conditional mutual information based on partial correlation among cryptocurrencies and financial markets around various crisis periods," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, volume 16, issue 1, pages 241-269, March, DOI: 10.1007/s40822-025-00343-w.
• Tarek Chebbi & Bruno S. Sergi & Salem Hamad Aldawsari, 2026, "Spread the foreign redenomination risk to default premia: dynamic frequency connectedness analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 12, issue 1, pages 1-40, December, DOI: 10.1186/s40854-025-00799-4.
• 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.
• Jinxin Cui & Elie Bouri, 2026, "Jumps and higher-order moments of crude oil and stock sectors in China: new insights from timescales connectedness," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 12, issue 1, pages 1-48, December, DOI: 10.1186/s40854-025-00830-8.
• Amro Saleem Alamaren & Korhan K. Gokmenoglu & Nigar Taspinar, 2026, "Volatility spillover and connectedness among US renewable energy, green bonds, and cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 12, issue 1, pages 1-30, December, DOI: 10.1186/s40854-025-00834-4.
• Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2026, "Cross-moment interaction in multivariate semi-nonparametric densities for risk forecasting," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 12, issue 1, pages 1-22, December, DOI: 10.1186/s40854-025-00847-z.
• Vipul Kumar Singh & Pawan Kumar, 2026, "Crude oil and soft commodities volatility spillover patterns and portfolio diversification strategies in times of oil crises," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 12, issue 1, pages 1-37, December, DOI: 10.1186/s40854-025-00851-3.
• Soumya Basu & Takaya Ogawa & Hideyuki Okumura & Keiichi Ishihara, 2026, "Quantifying stability of time–frequency phase space co-movements for renewable energy and macroeconomic markets during dual shocks," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 12, issue 1, pages 1-52, December, DOI: 10.1186/s40854-026-00916-x.
• Cosimo Magazzino & Chan Wei Leong & Muhammad Faheem, 2026, "Do green finance shocks reduce emissions? Nonlinear evidence from BRICS countries," Future Business Journal, Springer, volume 12, issue 1, pages 1-18, December, DOI: 10.1186/s43093-026-00796-8.
• Zbigniew Palmowski & Paweł Stȩpniak, 2026, "Pricing American options time-capped by a drawdown event," Mathematics and Financial Economics, Springer, number 5, June, DOI: 10.1007/s11579-025-00408-z.
• Ndubuisi O. Chukwu & Ambrose Nnaemeka Omeje, 2026, "Global economic policy uncertainty, geopolitical risk and stock returns in Nigeria," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, volume 25, issue 1, pages 117-136, January, DOI: 10.1007/s10258-025-00279-8.
• Martin Iseringhausen, 2026, "Financial market interdependence, contagion and jumpy risk exposure," Working Papers, European Stability Mechanism, number 76, Feb, revised 09 Feb 2026.
• Zongwu Cai & Xiyuan Liu & Liangjun Su, 2026, "A Functional-Coefficient VAR Model for Dynamic Quantiles and Its Application to Constructing Nonparametric Financial Network," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 44, issue 1, pages 162-176, January, DOI: 10.1080/07350015.2025.2511960.
• Tae-Hwy Lee & Tianyan Tu, 2026, "Tensor Portfolios," Working Papers, University of California at Riverside, Department of Economics, number 202601, Mar.
• Oleksandr Castello & Marco Corazza, 2026, "Machine Learning techniques for synthetic data generation in Energy and Financial Markets," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2026: 11.
• PAPAINOG, Maria-Teodora, 2026, "The Impact Of Geopolitical Crises On Fiscal And Budgetary Stability," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", volume 30, issue 1, pages 110-124, March, DOI: https://doi.org/10.65672/fs.2026.1..
• Nezir Köse & Emre Ünal, 2026, "The Effects of the Volatilities in Global Determinants on the Istanbul Stock Exchange," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, volume 73, issue 3, pages 411-442.
• Sezal Levent, 2026, "From digital mining to market prices: An empirical analysis of the relationship between energy consumption and price dynamics of Bitcoin and Ether," Economics and Business Review, Sciendo, volume 12, issue 1, pages 159-182, DOI: 10.18559/ebr.2026.1.2793.
• Gilbert Mbara, 2026, "Price Discovery in Segmented Markets: Evidence from the Nairobi Coffee Exchange," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2026-19.
• Khujan Singh & Khushbu Dhariwal, 2026, "Impact of Distinct Uncertainty Types on the Returns of G20 Stock Indices Across Different Market Conditions: Evidence from Two-step Panel QARDL Approach," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., volume 17, issue 02, pages 1-26, June, DOI: 10.1142/S1793993325500322.
• Aidi Xu & Lifei Huang & Jian Xu & Huaying Yu & Tan Lu, 2026, "DRIVING ESG INVESTMENT THROUGH GREEN FINANCE FOR SMEs IN DIGITAL ERA," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., volume 71, issue 03, pages 795-810, March, DOI: 10.1142/S021759082549027X.
• Wenting Zhang & Shigeyuki Hamori, 2026, "The Connectedness Between The Sentiment Index And Stock Return Volatility Under Covid-19: A Time-Varying Parameter Vector Autoregression Approach," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., volume 71, issue 05, pages 1639-1670, June, DOI: 10.1142/S0217590822500023.
• Rihab Belguith, 2026, "Dynamic Spillovers and Portfolio Construction: A TVP-VAR Analysis of the S&P 500, SSE, ESG ETFs, and Commodities," Advances in Decision Sciences, Asia University, Taiwan, volume 30, issue 1, pages 186-221.
• Thanh Pham & Huyen Thu Nguyen & Thanh Trung Le, 2026, "Behavioral Biases and Market Fluctuations: An Empirical Study of Herding and Volatility in Vietnam," Advances in Decision Sciences, Asia University, Taiwan, volume 30, issue 3, pages 27-62, September.
• Ayşegül Toy & Adalet Hazar & Şenol Babuşcu, 2026, "The Presence and Determinants of Price Bubbles in the Housing Markets: Empirical Findings From Türkiye," Journal of Finance Letters (Maliye ve Finans Yazıları), Maliye ve Finans Yazıları Yayıncılık Ltd. Şti., volume 41, issue 125, pages 175-196, April, DOI: https://doi.org/10.33203/mfy.176976.
• Özge Dinç Cavlak, 2026, "Examining Carbon Efficient Stock Indices Using the Quantile Connectedness Approach," Journal of Finance Letters (Maliye ve Finans Yazıları), Maliye ve Finans Yazıları Yayıncılık Ltd. Şti., volume 41, issue 125, pages 277-298, April, DOI: https://doi.org/10.33203/mfy.183604.
• Bastianin, Andrea & Casoli, Chiara & Kocenda, Evzen & Li, Xiao, 2026, "Extreme Connectedness among Energy Transition Metals and Commodity Markets," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 396404, Apr, DOI: 10.22004/ag.econ.396404.
• Semih Yıldırım & Veli Akel, 2026, "BIST 100 Volatilite Dinamiklerinde Yapısal Kırılma: Volatilite Bazlı Tedbir Sistemi'nin (VBTS) Etkinliğinin MS-GARCH Modelleri ile Analizi," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 11, issue 1, pages 296-325, DOI: 10.30784/epfad.1836652.
• Olivier De Jonghe & Daniel Lewis, 2026, "Identifying relationship-level effects using convariance restrictions," CeMMAP working papers, Institute for Fiscal Studies, number 06/26, Apr, DOI: 10.47004/wp.cem.2026.0626.
• Ayuba Napari, 2026, "Cryptoization and Volatility of the Exchange Rate in Nigeria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 98-115.
• Shahryar Ghorbani & Figen Yildirim & Ali Altug Bicer & Reza Rostamzadeh & Jonas Saparauskas, 2026, "Forecasting major currency exchange rates using long short-term memory networks: Evidence from multi-currency time series analysis," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, volume 29, issue 2, pages 220-239, July, DOI: 10.15240/tul/001/2026-2-014.
• Fabio Fornari & Daniele Pianeselli & Andrea Zaghini, 2026, "Environmental score and bond pricing: it better be good, it better be green," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 1002, Mar.
• Han Chen & Yijie Fei & Yiren Wang & Jun Yu, 2026, "Clustering for Block Correlation Models," Working Papers, University of Macau, Faculty of Business Administration, number 202639, Apr.
• Martin Vance L. & Sarkar Saikat, 2026, "Identifying Shock Propagation Mechanisms in Global Equity Markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 30, issue 2, pages 197-231, DOI: 10.1515/snde-2024-0012.
• Rouven Beiner & Bernd Süssmuth, 2026, "Monotonic Polynomial GARCH Models for Conditional Higher Moments," CESifo Working Paper Series, CESifo, number 12734.
• Panayotis Michaelides & Arsenios-Georgios Prelorentzos & Olivier Scaillet & Nikolas Topaloglou & Kien Tran, 2026, "Natural Hazards and Financial Activity: Evidence from Solar Storms Impact on BTC Mining," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 26-02, Jan.
• Martin, Ian & Shi, Ran, 2026, "On the Moments of the Stochastic Discount Factor," CEPR Discussion Papers, Centre for Economic Policy Research, number 21235, Mar.
• De Jonghe, Olivier & Lewis, Daniel, 2026, "Identifying Relationship-level Effects Using Covariance Restrictions," CEPR Discussion Papers, Centre for Economic Policy Research, number 21400, Apr.
• Daniel Velásquez-Gaviria & Jean-Michel Zakoïan, 2026, "Noncausal AR processes driven by causal GARCH volatility," Working Papers, Center for Research in Economics and Statistics, number 2026-02, Jan.
• María Andrea Sampedro & Dr. Damià Rey Miró, 2026, "Más allá de la capitalización: eficiencia y diseño de benchmarks en índices de criptomonedas," Revista de Economía y Finanzas (REyF), Asociación Cuadernos de Economía, volume 4, issue 10, pages 13-30, Enero.
• Yuming Li, 2026, "Rents, Prices and Interest Rates," Annals of Economics and Finance, Society for AEF, volume 27, issue 1, pages 91-112, May.
• Kalenga, Danicious & Kaira, Benjamin & Sishumba, Jackson & Siwilanji, Lukundo Willy, 2026, "Comparing the Explanatory Power of the Fama–French Five-Factor and Carhart Four-Factor Models in a Frontier Equity Market: Evidence from the Lusaka Securities Exchange (LuSE)," African Journal of Commercial Studies, African Journal of Commercial Studies, volume 7, issue 3, DOI: 10.59413/ajocs/v7.i3.56.
• Omar, Farzan A. & Kaplelach, Samson & Kiema, Harrison, 2026, "Empirical Market Microstructure Models: A Review of Trading Behavior, Liquidity, and Price Formation," East African Finance Journal, East African Finance Journal, volume 5, issue 2, DOI: 10.59413/eafj/v5.i2.5.
• 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.
• Fornari, Fabio & Pianeselli, Daniele & Zaghini, Andrea, 2026, "Environmental score and bond pricing: it better be good, it better be green," Working Paper Series, European Central Bank, number 3176, Jan.
• De Jonghe, Olivier & Lewis, Daniel, 2026, "Identifying relationship-level effects using covariance restrictions," Working Paper Series, European Central Bank, number 3238, May.
• Deep, Gagan & Deep, Akash & Rachev, Svetlozar T. & Fabozzi, Frank J., 2026, "Google Trends—Augmented XGBoost for market volatility prediction: A machine learning early warning system," Journal of Behavioral and Experimental Finance, Elsevier, volume 49, issue C, DOI: 10.1016/j.jbef.2026.101159.
• Kumari, Jyoti & Mattaparthi, Sanjana, 2026, "Sentiment-driven volatility and the idiosyncratic volatility puzzle: Evidence from an emerging market," Journal of Behavioral and Experimental Finance, Elsevier, volume 50, issue C, DOI: 10.1016/j.jbef.2026.101189.
• Galati, Luca & De Blasis, Riccardo, 2026, "The information content of delayed block trades in cryptocurrency markets," The British Accounting Review, Elsevier, volume 58, issue 3, DOI: 10.1016/j.bar.2024.101513.
• Cai, Yifei & Yang, Jialin & Fu, Xiaowen & Zhang, Yahua, 2026, "The relative contribution of political shocks to total spillovers in semiconductor industry," China Economic Review, Elsevier, volume 98, issue C, DOI: 10.1016/j.chieco.2026.102703.
• Bergmann, Daniel R. & Oliveira, Mauri A., 2026, "Extreme risk clustering in long-memory financial series," Chaos, Solitons & Fractals, Elsevier, volume 202, issue P1, DOI: 10.1016/j.chaos.2025.117513.
• Yu, Deshui & Huang, Difang & Yin, Ximing, 2026, "Market-based short-rate uncertainty and time-varying expected returns," Journal of Economic Dynamics and Control, Elsevier, volume 188, issue C, DOI: 10.1016/j.jedc.2026.105348.
• Shi, Haoyu & Zheng, Xu & Wang, Yuansheng, 2026, "Volatility regimes and jumps in crude oil futures: Uncovering how market shocks trigger extreme comovements," Economic Modelling, Elsevier, volume 158, issue C, DOI: 10.1016/j.econmod.2026.107532.
• Ardakani, Omid M., 2026, "Central bank signals, behavioral biases, and information flow," Economic Modelling, Elsevier, volume 158, issue C, DOI: 10.1016/j.econmod.2026.107550.
• Liu, Wei & Li, Xiaoyu & Sun, Yiyuan (Ian) & Cao, Yuan & Wang, Yao, 2026, "The role of monetary policy uncertainty in linking macroeconomic variables and stock volatility: Evidence from Japan," Economic Modelling, Elsevier, volume 159, issue C, DOI: 10.1016/j.econmod.2026.107574.
• Ricordi, Delfina & Sola, Martin & Spagnolo, Fabio & Spagnolo, Nicola, 2026, "When volatility turns, recessions follow," Economic Modelling, Elsevier, volume 159, issue C, DOI: 10.1016/j.econmod.2026.107588.
• Raj, Prakash & Selvaraju, N., 2026, "Bitcoin volatility modeling with realized measures and jump dynamics," Economic Modelling, Elsevier, volume 160, issue C, DOI: 10.1016/j.econmod.2026.107615.
• Zeng, Tao & Wang, Kaixin & Fan, Yanjing & Liu, Xiaobin, 2026, "Systemic default probability and return predictability: Evidence from China," Economic Modelling, Elsevier, volume 160, issue C, DOI: 10.1016/j.econmod.2026.107617.
• Shah, Syed Adnan & Nawaz, Ali & Du, Yuan & Su, Chi Wei, 2026, "Green bond performance under ESG uncertainty: Nonlinear Time–Frequency quantile analysis," Economic Modelling, Elsevier, volume 161, issue C, DOI: 10.1016/j.econmod.2026.107631.
• Nasir, Rana Muhammad & He, Feng & Asadi, Mehrad & Roubaud, David, 2026, "Spillover and return connectedness between uncertainties, digital assets, green bond, green and traditional energy markets: Evidence from quantile VAR," The North American Journal of Economics and Finance, Elsevier, volume 81, issue C, DOI: 10.1016/j.najef.2025.102538.
• 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.
• Yuan, Jiayuan & Zhu, Weineng & Huang, Zishan & Zhu, Huiming, 2026, "Time-frequency quantile effect of global uncertainty on stock markets: evidence from wavelet decomposition," The North American Journal of Economics and Finance, Elsevier, volume 81, issue C, DOI: 10.1016/j.najef.2025.102554.
• Brik, Hatem, 2026, "Dynamic distortions of the security market line: Evidence from asymmetric volatility and regime-switching models," The North American Journal of Economics and Finance, Elsevier, volume 82, issue C, DOI: 10.1016/j.najef.2025.102566.
• Brik, Hatem, 2026, "Corrigendum to “Dynamic distortions of the security market line: Evidence from asymmetric volatility and regime-switching models” [N. Am. J. Econ. Financ. 82 (2026) 102566]," The North American Journal of Economics and Finance, Elsevier, volume 83, issue C, DOI: 10.1016/j.najef.2026.102598.
• Lim, Sanghoon & Ha, Mijin & Park, Jongkyu & Yoon, Ji-Hun & Lee, Hyojung, 2026, "Detecting endogenous structural breaks in the KOSPI200: A change-point detection and event study analysis of the COVID-19 crisis," The North American Journal of Economics and Finance, Elsevier, volume 83, issue C, DOI: 10.1016/j.najef.2026.102609.
• Silva, Felipe Marcos & Divino, Jose Angelo, 2026, "Dynamic conditional correlations and connectedness in emerging-market exchange rates§," The North American Journal of Economics and Finance, Elsevier, volume 84, issue C, DOI: 10.1016/j.najef.2026.102619.
• Zięba, Damian, 2026, "Technological heterogeneity and the asymmetric volume–return relationship in the crypto-asset market," The North American Journal of Economics and Finance, Elsevier, volume 84, issue C, DOI: 10.1016/j.najef.2026.102629.
• Schweikert, Karsten, 2026, "Asymptotic inference for Hasbrouck information shares," Economics Letters, Elsevier, volume 258, issue C, DOI: 10.1016/j.econlet.2025.112756.
• Filip, Angela-Maria & Negrea, Bogdan, 2026, "Hedge fund strategies performance: The edge of Omega ratio over conventional metrics," Economics Letters, Elsevier, volume 260, issue C, DOI: 10.1016/j.econlet.2025.112804.
• Zevallos, Mauricio & Rubesam, Alexandre, 2026, "Finite-sample properties of the Campbell and Thompson out-of-sample R2," Economics Letters, Elsevier, volume 265, issue C, DOI: 10.1016/j.econlet.2026.113011.
• Guidolin, Massimo & Ionta, Serena, 2026, "Predicting commodity returns with climate variables: Statistical loss functions vs. economic value," Economics Letters, Elsevier, volume 265, issue C, DOI: 10.1016/j.econlet.2026.113028.
• Bibinger, Markus & Hautsch, Nikolaus & Ristig, Alexander, 2026, "Jump detection in high-frequency order prices," Journal of Econometrics, Elsevier, volume 253, issue C, DOI: 10.1016/j.jeconom.2025.106133.
• Li, Yu-Ning & Chen, Jia & Linton, Oliver, 2026, "Estimation of common factors for microstructure noise and efficient price in a high-frequency dual factor model," Journal of Econometrics, Elsevier, volume 254, issue PA, DOI: 10.1016/j.jeconom.2022.12.005.
• Li, Z. Merrick & Linton, Oliver, 2026, "Robust estimation of integrated and spot volatility," Journal of Econometrics, Elsevier, volume 254, issue PA, DOI: 10.1016/j.jeconom.2023.105614.
• Oh, Minseog & Kim, Donggyu & Wang, Yazhen, 2026, "Robust realized integrated beta estimator with application to dynamic analysis of integrated beta," Journal of Econometrics, Elsevier, volume 254, issue PA, DOI: 10.1016/j.jeconom.2024.105810.
• Laurent, Sébastien & Renò, Roberto & Shi, Shuping, 2026, "Realized drift," Journal of Econometrics, Elsevier, volume 254, issue PA, DOI: 10.1016/j.jeconom.2024.105813.
• Kolokolov, Aleksey & Renò, Roberto & Zoi, Patrick, 2026, "BUMVU estimators," Journal of Econometrics, Elsevier, volume 254, issue PA, DOI: 10.1016/j.jeconom.2024.105942.
• Archakov, Ilya & Hansen, Peter Reinhard & Lunde, Asger, 2026, "A multivariate realized GARCH model," Journal of Econometrics, Elsevier, volume 254, issue PA, DOI: 10.1016/j.jeconom.2025.106040.
• Patton, Andrew J. & Zhang, Haozhe, 2026, "Bespoke realized volatility: Tailored measures of risk for volatility prediction," Journal of Econometrics, Elsevier, volume 254, issue PA, DOI: 10.1016/j.jeconom.2025.106122.
• Li, Qiyuan & Li, Yifan & Nolte, Ingmar & Nolte, Sandra & Yu, Shifan, 2026, "Testing for jumps in a discretely observed price process with endogenous sampling times," Journal of Econometrics, Elsevier, volume 254, issue PA, DOI: 10.1016/j.jeconom.2025.106132.
• Dimitriadis, Timo & Halbleib, Roxana & Polivka, Jeannine & Rennspies, Jasper & Streicher, Sina & Wolter, Axel Friedrich, 2026, "Efficient sampling for realized variance estimation in time-changed diffusion models," Journal of Econometrics, Elsevier, volume 254, issue PA, DOI: 10.1016/j.jeconom.2025.106150.
• Cui, Wenhao & Hu, Jie & Wang, Jiandong, 2026, "Reprint of: Nonparametric estimation for high-frequency data incorporating trading information," Journal of Econometrics, Elsevier, volume 254, issue PA, DOI: 10.1016/j.jeconom.2026.106202.
• Bennedsen, Mikkel & Christensen, Kim & Christensen, Peter Korsbakke, 2026, "To be or not to be: Roughness or long memory in volatility?," Journal of Econometrics, Elsevier, volume 254, issue PB, DOI: 10.1016/j.jeconom.2026.106193.
• Hansen, Peter Reinhard & Tong, Chen, 2026, "Convolution-t distributions," Journal of Econometrics, Elsevier, volume 254, issue PB, DOI: 10.1016/j.jeconom.2026.106212.
• Medeiros, Marcelo C. & Sun, Chuanping, 2026, "A sorted penalty estimator: Inference for a correlation-robust shrinkage method," Journal of Econometrics, Elsevier, volume 255, issue C, DOI: 10.1016/j.jeconom.2026.106216.
• Francq, Christian & Trapani, Lorenzo & Zakoïan, Jean-Michel, 2026, "Inference on breaks in weak location time series models with the estimating function approach," Journal of Econometrics, Elsevier, volume 255, issue C, DOI: 10.1016/j.jeconom.2026.106220.
• Ge, Shuyi & Li, Shaoran & Linton, Oliver & Liu, Weiguang & Su, Wen, 2026, "Should we augment large covariance matrix estimation with auxiliary network information?," Journal of Econometrics, Elsevier, volume 255, issue C, DOI: 10.1016/j.jeconom.2026.106236.
• Fortin, Alain-Philippe & Gagliardini, Patrick & Scaillet, Olivier, 2026, "Latent factor analysis in short panels," Journal of Econometrics, Elsevier, volume 255, issue C, DOI: 10.1016/j.jeconom.2026.106249.
• Nyberg, Henri & Savva, Christos S., 2026, "Risk-return trade-off in international stock returns: Skewness and business cycles," Econometrics and Statistics, Elsevier, volume 37, issue C, pages 42-60, DOI: 10.1016/j.ecosta.2023.02.004.
• Chacon, David Ugarte & Lee, Seohyun & Park, Jaehyuk, 2026, "An explainable machine learning model for consumer credit scoring in Mexico," Emerging Markets Review, Elsevier, volume 71, issue C, DOI: 10.1016/j.ememar.2025.101424.
• Abdullaev, Nursultan & Ibragimov, Rustam, 2026, "Stylized facts of cryptocurrency markets: Robust definitions and inference approaches," Emerging Markets Review, Elsevier, volume 72, issue C, DOI: 10.1016/j.ememar.2026.101440.
• Cheng, Mingmian, 2026, "Sparse heterogeneous auto-regressive model for volatility forecasting," Journal of Empirical Finance, Elsevier, volume 87, issue C, DOI: 10.1016/j.jempfin.2026.101708.
• van der Zwan, Terri & Hennink, Erik & Tuijp, Patrick, 2026, "Equity risk factors for the long and short run: Pricing and performance at different frequencies," Journal of Empirical Finance, Elsevier, volume 87, issue C, DOI: 10.1016/j.jempfin.2026.101711.
• Charteris, Ailie & Obojska, Lidia & Szczygielski, Jan Jakub & Brzeszczyński, Janusz, 2026, "Energy market connectedness: A tale of two crises," Energy Economics, Elsevier, volume 153, issue C, DOI: 10.1016/j.eneco.2025.108787.
• Yang, Yudou & Wen, Le & Sharp, Basil & Maani, Sholeh, 2026, "Carbon price volatility in the New Zealand Emission Trading Scheme," Energy Economics, Elsevier, volume 153, issue C, DOI: 10.1016/j.eneco.2025.109107.
• Verousis, Thanos & Wang, Kai & Zhou, Zhiping, 2026, "Ambiguity about volatility in the commodity futures market," Energy Economics, Elsevier, volume 155, issue C, DOI: 10.1016/j.eneco.2026.109199.
• Kalaitzoglou, Iordanis Angelos, 2026, "Lost in the crowd! Pricing carbon at the age of algorithms," International Review of Financial Analysis, Elsevier, volume 109, issue C, DOI: 10.1016/j.irfa.2025.104761.
• Yao, Zengfu & Yang, Ou & Chen, Ye & Dong, Zhiwei & Yang, Cheng & Wei, Yu & Chen, Yonghuai, 2026, "Spillover and diversification effects of China's CET and the industrial stock markets: Evidence from different carbon emission levels in the industrial sector," International Review of Financial Analysis, Elsevier, volume 109, issue C, DOI: 10.1016/j.irfa.2025.104824.
• Wang, Haiying & Luo, Ting & Jiang, Chonghui & Du, Jiangze, 2026, "Which companies are most at low-carbon transition risks? Evidence from ripple effects in multi-order moments," International Review of Financial Analysis, Elsevier, volume 110, issue C, DOI: 10.1016/j.irfa.2025.104843.
• Yang, Jinyu & Liang, Chao & Shen, Lihua, 2026, "Biodiversity risk exposure and corporate risk-taking," International Review of Financial Analysis, Elsevier, volume 110, issue C, DOI: 10.1016/j.irfa.2025.104844.
• Grobys, Klaus, 2026, "Log-periodicity: Fact or fiction?," International Review of Financial Analysis, Elsevier, volume 110, issue C, DOI: 10.1016/j.irfa.2025.104848.
• Ferriani, Fabrizio & Pericoli, Marcello, 2026, "ESG risks and corporate viability: Insights from default probability term structure analysis," International Review of Financial Analysis, Elsevier, volume 112, issue C, DOI: 10.1016/j.irfa.2026.105097.
• Benkraiem, Ramzi & Kedidi, Islem & Mbarek, Marouene, 2026, "Interlinkages between cryptocurrency classes and the hydrogen economy: New diversification insights from a partial correlation-based connectedness approach," International Review of Financial Analysis, Elsevier, volume 113, issue C, DOI: 10.1016/j.irfa.2026.105153.
• Perras, Patrizia & Wagner, Niklas, 2026, "Investor crowding," Finance Research Letters, Elsevier, volume 102, issue C, DOI: 10.1016/j.frl.2026.110052.
• Buchwalter, Bastien & Chibane, Messaoud & Giménez Roche, Gabriel A., 2026, "Is Bitcoin fragility systematically related to global uncertainty?," Finance Research Letters, Elsevier, volume 103, issue C, DOI: 10.1016/j.frl.2026.110153.
• Shen, Yijuan & Li, Zecheng & Yuan, Yuan & Cai, Yifei, 2026, "Dependence in cryptocurrencies: A Partial correlation connectedness approach," Finance Research Letters, Elsevier, volume 104, issue C, DOI: 10.1016/j.frl.2026.110195.
• Vinogradova, Veronika & Gubareva, Mariya, 2026, "Are impact crypto assets a new emerging asset class for sustainable and impact investors?," Finance Research Letters, Elsevier, volume 88, issue C, DOI: 10.1016/j.frl.2025.109114.
• Wei, Yu & Hu, Rui & Wang, Qian & Zhou, Chunyan, 2026, "The trump shockwave: How presidential tenure redefined cross-asset spillovers in cryptocurrency, commodity, and capital markets," Finance Research Letters, Elsevier, volume 89, issue C, DOI: 10.1016/j.frl.2025.109357.
• Algarhi, Amr Saber & Hill, Archie & Oyebowale, Adeola Y., 2026, "Brexit and the reversal of financial influence: the UK’s shift from net volatility transmitter to receiver," Finance Research Letters, Elsevier, volume 94, issue C, DOI: 10.1016/j.frl.2026.109675.
• Sayed, Ayesha & Huang, Chun-Sung & Auret, Christo, 2026, "Causal and time-frequency spillovers from the Southern Oscillation index to grain futures: Evidence from CBOT Corn and Soybean futures and SAFEX Maize," Finance Research Letters, Elsevier, volume 95, issue C, DOI: 10.1016/j.frl.2026.109715.
• Hong, Gayeon, 2026, "Anchoring in calm, crumbling in crisis: The paradox of taming the long end," Finance Research Letters, Elsevier, volume 95, issue C, DOI: 10.1016/j.frl.2026.109722.
• Ojea-Ferreiro, Javier, 2026, "Tail market linkage between Canadian banks and non-bank financial intermediaries," Finance Research Letters, Elsevier, volume 97, issue C, DOI: 10.1016/j.frl.2026.109820.
• Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2026, "Asymmetric effects on asymmetry: The resilience of ESG indices," Finance Research Letters, Elsevier, volume 98, issue C, DOI: 10.1016/j.frl.2026.109737.
• Polakow, Daniel Adam & Flint, Emlyn James & Turro, Isabella Cristina Josephine & van Rooyen, Joané, 2026, "Prediction reconditioned: Revisiting relevance," Finance Research Letters, Elsevier, volume 99, issue C, DOI: 10.1016/j.frl.2026.109854.
• 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.
• Anastasopoulos, Alexia & Gradojevic, Nikola & Liu, Fred & Maynard, Alex & Tsiakas, Ilias, 2026, "Order flow and cryptocurrency returns," Journal of Financial Markets, Elsevier, volume 79, issue C, DOI: 10.1016/j.finmar.2026.101047.
• Booth, Geoffrey G. & Ellina, Polina & Theodossiou, Panayiotis, 2026, "Decoding underprediction and anchoring in BEA's GDP backcasts," Journal of Financial Stability, Elsevier, volume 83, issue C, DOI: 10.1016/j.jfs.2026.101509.
• Li, Yan & Qian, Zongxin, 2026, "Systemic risk measures and macroeconomic shocks: An update of empirical evidence," Journal of Financial Stability, Elsevier, volume 84, issue C, DOI: 10.1016/j.jfs.2026.101520.
• Yee, Chanho, 2026, "Fundamental persistence and diagnostic expectations," Global Finance Journal, Elsevier, volume 71, issue C, DOI: 10.1016/j.gfj.2026.101287.
• Esparcia, Carlos & Jareño, Francisco & Escribano, Ana, 2026, "Considering the interaction between carbon allowances and cryptocurrencies across time and frequencies: Potential risk-return and environmental benefits," Innovation and Green Development, Elsevier, volume 5, issue 1, DOI: 10.1016/j.igd.2026.100327.
• Chen, Kairan & Granville, Brigitte & Matousek, Roman, 2026, "Decoding central bank communications with large language models," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 109, issue C, DOI: 10.1016/j.intfin.2026.102325.
• Lahiani, Amine & Mefteh-Wali, Salma & Mselmi, Nada, 2026, "Do defense stocks benefit from geopolitical Risk? asymmetries across time horizons and market states," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 110, issue C, DOI: 10.1016/j.intfin.2026.102354.
• Fanelli, Viviana & Fontana, Claudio & Rotondi, Francesco, 2026, "A hidden Markov model for statistical arbitrage in international crude oil futures markets," Journal of Banking & Finance, Elsevier, volume 188, issue C, DOI: 10.1016/j.jbankfin.2026.107714.
• Wang, Zerong & Zhang, Gongqiu, 2026, "Joint valuation of SPX and VIX options by GARCH models with bad and good environments," Journal of Banking & Finance, Elsevier, volume 188, issue C, DOI: 10.1016/j.jbankfin.2026.107719.
• Alexiou, Lykourgos & Bevilacqua, Mattia & Hizmeri, Rodrigo, 2026, "Uncovering the asymmetric information content of high-frequency options," Journal of Banking & Finance, Elsevier, volume 188, issue C, DOI: 10.1016/j.jbankfin.2026.107720.
• Fornari, Fabio & Pianeselli, Daniele & Zaghini, Andrea, 2026, "Environmental score and bond pricing: It better be good, it better be green," Journal of International Money and Finance, Elsevier, volume 161, issue C, DOI: 10.1016/j.jimonfin.2025.103498.
• Gavronski, Pedro & De Genaro, Alan, 2026, "Jumps and jolts: A continuous-time model for electricity future contract pricing," Journal of Commodity Markets, Elsevier, volume 41, issue C, DOI: 10.1016/j.jcomm.2025.100535.
• Karadimitropoulou, Aikaterini & Koulmas, Pavlos & Michaelides, Panayotis G. & Triantafyllou, Athanasios, 2026, "From Paris to Pandemic: How climate risk and policy uncertainty shapes fossil and clean Energy commodities," Journal of Commodity Markets, Elsevier, volume 41, issue C, DOI: 10.1016/j.jcomm.2026.100543.
• Biswas, Pratik & Sharma, Chandan, 2026, "Quantifying electricity market stress: Constructing and validating the stress index with evidence from India," Journal of Commodity Markets, Elsevier, volume 42, issue C, DOI: 10.1016/j.jcomm.2026.100559.
• Mati, Sagiru & Ismael, Goran Yousif & Alsakarneh, Raad Abdelhalim Ibrahim & Aliyu, Nazifi, 2026, "Ruble resilience or euro dominance? The impact of the Russo-Ukrainian war on the euro-ruble exchange rate," Journal of Policy Modeling, Elsevier, volume 48, issue 1, pages 60-72, DOI: 10.1016/j.jpolmod.2025.06.020.
• Zheng, Qingying & Wu, Jintao & Lin, Boqiang, 2026, "Asymmetric volatility spillover between clean energy and nonferrous metal markets under climate risks: Portfolio hedging implications," Resources Policy, Elsevier, volume 112, issue C, DOI: 10.1016/j.resourpol.2025.105801.
• Zangelidis, Leonidas & Rezitis, Anthony N., 2026, "Topology of intraday realized volatilities across commodity indices, copper futures, the U.S. dollar index, and the NASDAQ: An unrestricted multivariate HAR-VAR approach," Resources Policy, Elsevier, volume 117, issue C, DOI: 10.1016/j.resourpol.2026.105934.
• Tok, Şerife Akıncı, 2026, "Climate policy and sustainability uncertainty in energy and transition metal markets: Evidence from a TVP-VAR–based asymmetric connectedness framework," Resources Policy, Elsevier, volume 118, issue C, DOI: 10.1016/j.resourpol.2026.105935.
• Bu, Hui & Chen, Huanghao & Tang, Wenjin & Yen, Jerome & Zheng, Erya, 2026, "Information diffusion through weighted positive causal networks: Evidence from pair-based trading strategy in China," Pacific-Basin Finance Journal, Elsevier, volume 96, issue C, DOI: 10.1016/j.pacfin.2025.103002.
• Zhu, Minghao & Shi, Haimeng & Kong, Rong & Khalid, Zarqa & Hassan, Maaz & Chen, Zhe, 2026, "Does digital finance improve household financial health? Evidence from China," Pacific-Basin Finance Journal, Elsevier, volume 96, issue C, DOI: 10.1016/j.pacfin.2025.103016.
• Guo, Feng & Lai, Fujun, 2026, "Does RMB drive the dynamic of RCEP regional currency FXs?," Pacific-Basin Finance Journal, Elsevier, volume 96, issue C, DOI: 10.1016/j.pacfin.2025.103019.
• 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.
• Liu, Yang & Li, Shun, 2026, "Beyond market stress: Incremental long-term information in geopolitical tension for gold volatility," Pacific-Basin Finance Journal, Elsevier, volume 96, issue C, DOI: 10.1016/j.pacfin.2026.103074.
• Yu, Bo & Peng, Weijia & Yao, Chun & Lan, Wei, 2026, "Forecasting realized volatility of Shanghai oil futures with mix-frequency uncertainty factors," Pacific-Basin Finance Journal, Elsevier, volume 98, issue C, DOI: 10.1016/j.pacfin.2026.103150.
• 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.
• He, Junlin & Ng, Kok-Haur & Peiris, Shelton & Allen, David, 2026, "Modelling volatility and return based on a two-stage Log-BiACARR framework and intraday information: Evidence from Guangdong and Hubei carbon emissions trading markets," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 681, issue C, DOI: 10.1016/j.physa.2025.131097.