Research classified by Journal of Economic Literature (JEL) codes

2026

• Dante Amengual & Lluc Puig-Codina, 2026, "A Bayesian Analysis of the Cox-Ingersoll-Ross Model," Working Papers, Banco de España, number 2640, Oct, DOI: https://doi.org/10.53479/44785.
• 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.
• Degui Li & Yuying Sun & Boyao Wu, 2026, "Time-Varying Model Averaging of Multi-layer Network Vector Autoregressions," Working Papers, University of Macau, Faculty of Business Administration, number 202640, Jun.
• Yi Ding & Songze Shi, 2026, "A Fine Lens on Common Trading Flows," Working Papers, University of Macau, Faculty of Business Administration, number 202641, Jun.
• Mikkel Bennedsen & Kim Christensen & Peter Korsbakke Christensen & Jun Yu & Chen Zhang, 2026, "The "Rough" HAR model," Working Papers, University of Macau, Faculty of Business Administration, number 202646, Sep.
• Elio Cucullo & Andrew Clare & Angela Gallo, 2026, "SoS! The overnight bilateral liquidity provision of non-bank financial institutions to banks," Bank of England Staff Working Paper series, Bank of England, number 1195, Jul.
• 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.
• Alexeev Vitali & Ignatieva Katja, 2026, "Quantifying Extreme Risks in High-Frequency Financial, Energy, and Commodity Markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 30, issue 3, pages 371-391, DOI: 10.1515/snde-2024-0136.
• Leon-Gonzalez Roberto & Majoni Blessings, 2026, "Approximate Factor Models with a Common Multiplicative Factor for Stochastic Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 30, issue 4, pages 649-678, DOI: 10.1515/snde-2024-0103.
• Xu, Yongdeng, 2026, "Learn the measure, estimate the moment: machine-learned drivers in dynamic conditional correlation models," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2026/12, Sep.
• Karanasos, Menelaos & Xu, Yongdeng & Yfanti, Stavroula & Zopounidis, Constantin, 2026, "Enforcing an Admissible Parameter Space for Vector MEM: The Fundamental Role of Matrix Inequality Constraints," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2026/3, Mar.
• Xu, Yongdeng & Lyu, Juyi & Lu, Wenna, 2026, "Adaptive LASSO-MGARCH for Multivariate Volatility Forecasting," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2026/4, Mar.
• Rouven Beiner & Bernd Süssmuth, 2026, "Monotonic Polynomial GARCH Models for Conditional Higher Moments," CESifo Working Paper Series, CESifo, number 12734.
• H. Christopher Kazemi & Christos A. Makridis, 2026, "Prior Sentiment and Returns Around Earnings Announcements," CESifo Working Paper Series, CESifo, number 12929.
• Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Alex Medina Sosa, 2026, "AI Events, Persistence, and Volatility in US Utility and AI-Exposed Stocks: The AI-Power Channel," CESifo Working Paper Series, CESifo, number 13001.
• 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.
• Konstantinos N. Konstantakis & Olivier Scaillet & Nikolas Topaloglou & Panayotis G. Michaelides, 2026, "A Heterogeneous-Quantile Global VAR for Tail-Risk Transmission," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 26-48, Jun.
• MD Nazmul Ahsan & Jean-Marie Dufour, 2026, "Practical estimation methods for high-dimensional multivariate stochastic volatility models," CIRANO Working Papers, CIRANO, number 2026s-20, Oct.
• Marie-Claude Beaulieu & Jean-Marie Dufour & Lynda Khalaf & Olena Melin, 2026, "Simultaneous inference in possibly incomplete multivariate regressions with application to asset pricing," CIRANO Working Papers, CIRANO, number 2026s-22, Oct.
• Carlos Palomino Selem & Ruth Milagros Delgado Yana, 2026, "Comparative analysis between traditional momentum and machine learning (random forest): evidence from the S&P 500 (2000-2024)," Revista Tendencias, Universidad de Narino, volume 27, issue 02, pages 32-61, July, DOI: 10.22267/rtend.26272.296.
• Luis Enrique Cayatopa-Rivera & Carmen Patricia Peralta-Gonzales & Lily Tatiana León-Echevarría & Henry Cóndor-Lucchini, 2026, "Optimization of Peruvian mutual fund portfolios using the Markowitz and Black-Litterman Models, 2010–2025," Revista Tendencias, Universidad de Narino, volume 27, issue 02, pages 147-173, July, DOI: 10.22267/rtend.26272.300.
• 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.
• Chernov, Mikhail & Kelly, Bryan & Malamud, Semyon & Schwab, Johannes, 2026, "Infinite Factor Structure in Conditional Asset Pricing," CEPR Discussion Papers, Centre for Economic Policy Research, number 22031, Oct.
• 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.
• Andrea Monticini, 2026, "Does routine supervisory communication move volatility? Evidence from 285 ECB announcements," DISCE - Working Papers del Dipartimento di Economia e Finanza, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE), number def158, Oct.
• Marín, Juan Miguel & Romero, Eva & Veiga, Helena, 2026, "Asymmetric Correlation Propagationin Factor Stochastic Volatility Models," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number 50310, Jun.
• Guo, Hongfei & Marín, Juan Miguel & Veiga, Helena, 2026, "Diagnosing and Stabilizing Dynamic Correlations in Multivariate Stochastic Volatility Models," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number 50561, Jul.
• Veiga, Helena & Marín, Juan Miguel, 2026, "Data Cloning in Latent-Variable Time-Series Models: Likelihood Theory and Estimability Diagnostics," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number 50565, Jul.
• 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.
• Thomas J. Sargent, 2026, "Risk Aversion or Mistaken Beliefs? Three Martingales and More," Annals of Economics and Finance, Society for AEF, volume 27, issue 2, pages 275-298, November.
• 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.
• Okwatsa, Astone, 2026, "Credit Risk Management Strategies and Loan Performance of Banks in Kenya," African Multidisciplinary Scholarship Journal, African Multidisciplinary Scholarship Journal, volume 1, issue 1, pages 148-161, DOI: 10.59413/amsj/v1.i1.12.
• 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.
• Nocciola, Luca & Scaglioni, Samuele, 2026, "Learning probability of default and stress testing," Working Paper Series, European Central Bank, number 3277, Aug.
• 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.
• Pan, Zhiyuan & Zhou, Yue & Huang, Chuwen, 2026, "The economic value of variable selection methods: Evidence from volatility forecasting," Economic Modelling, Elsevier, volume 163, issue C, DOI: 10.1016/j.econmod.2026.107739.
• 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.
• Alvarez, F.Xavier & Sala, Hector, 2026, "When volatility is not enough: classical and quantum behaviors in stock investment," The North American Journal of Economics and Finance, Elsevier, volume 85, issue C, DOI: 10.1016/j.najef.2026.102667.
• Xia, Wenjing & Ye, Wuyi & Zhou, Yi, 2026, "Good and bad cojump dynamics: A network modeling perspective," The North American Journal of Economics and Finance, Elsevier, volume 85, issue C, DOI: 10.1016/j.najef.2026.102669.
• Nammouri, Hela & Braiek, Sana & Gheorghe, Catalin & Jeribi, Ahmed, 2026, "When does gold protect emerging markets? structural vs. cyclical uncertainty in a time–frequency analysis," The North American Journal of Economics and Finance, Elsevier, volume 85, issue C, DOI: 10.1016/j.najef.2026.102676.
• Papathanasiou, Spyros & Koutsokostas, Drosos & Xidonas, Panos & Goutte, Stephane, 2026, "The semiconductor realignment: portfolio optimization and systemic resilience in the post-pandemic era," The North American Journal of Economics and Finance, Elsevier, volume 86, issue C, DOI: 10.1016/j.najef.2026.102701.
• 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.
• Tolikas, Konstantinos, 2026, "The two clocks of systemic importance," Economics Letters, Elsevier, volume 268, issue C, DOI: 10.1016/j.econlet.2026.113151.
• Ling, Xing & Wu, Qian & Chen, Kun, 2026, "Multiple testing in rolling-window analysis via p-value combination," Economics Letters, Elsevier, volume 268, issue C, DOI: 10.1016/j.econlet.2026.113198.
• Gong, Xue & Ma, Rong, 2026, "Macroeconomic attention and stock market volatility: Evidence from dynamic forecast combinations," Economics Letters, Elsevier, volume 268, issue C, DOI: 10.1016/j.econlet.2026.113212.
• Lv, Guanchen & Li, Weidong & Zhou, Yaqiong, 2026, "Liquidity withdrawal before scheduled macroeconomic announcements," Economics Letters, Elsevier, volume 268, issue C, DOI: 10.1016/j.econlet.2026.113256.
• 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.
• Hiraki, Daichi & Chib, Siddhartha & Omori, Yasuhiro, 2026, "Stochastic volatility in mean: Efficient analysis by a generalized mixture sampler," Journal of Econometrics, Elsevier, volume 256, issue PB, DOI: 10.1016/j.jeconom.2025.105949.
• Chib, Siddhartha & Smith, Simon C., 2026, "Structural breaks, model uncertainty and factor selection," Journal of Econometrics, Elsevier, volume 256, issue PB, DOI: 10.1016/j.jeconom.2025.106067.
• Kumbhakar, Subal C. & Mallick, Sushanta K., 2026, "Bayesian methods in economics and finance: A unified survey and taxonomy," Journal of Econometrics, Elsevier, volume 256, issue PB, DOI: 10.1016/j.jeconom.2026.106269.
• Velásquez-Gaviria, Daniel & Zakoïan, Jean-Michel, 2026, "Noncausal AR processes driven by causal GARCH volatility," Journal of Econometrics, Elsevier, volume 257, issue C, DOI: 10.1016/j.jeconom.2026.106297.
• Fortin, Alain-Philippe, 2026, "Testing for common latent factors across two short panels," Journal of Econometrics, Elsevier, volume 257, issue C, DOI: 10.1016/j.jeconom.2026.106311.
• 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.
• Rahimikia, Eghbal & Poon, Ser-Huang, 2026, "Machine learning for realised volatility forecasting," Journal of Empirical Finance, Elsevier, volume 88, issue C, DOI: 10.1016/j.jempfin.2026.101739.
• 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.
• Kchaou, Oussama & Sassi, Salim Ben & Amar, Amine Ben, 2026, "Macroeconomic shocks and systemic risk in the US stock market," Energy Economics, Elsevier, volume 160, issue C, DOI: 10.1016/j.eneco.2026.109439.
• Shi, Haoyu & Zheng, Xu, 2026, "The impact of liquidity on volatility and price discovery: Evidence from China and international crude oil futures," Energy Economics, Elsevier, volume 160, issue C, DOI: 10.1016/j.eneco.2026.109468.
• Wang, HaiFeng & Long, Qin & Deng, Xi & Zhu, Bangzhu & Xiao, DengDeng, 2026, "Higher-order moment connectedness between green cryptocurrencies and energy markets: The role of climate policy uncertainty," Energy Economics, Elsevier, volume 161, issue C, DOI: 10.1016/j.eneco.2026.109464.
• Boswijk, H. Peter & Diks, Cees & Trimborn, Simon & Valle, Matteo, 2026, "Environmental regulatory risk," Energy Economics, Elsevier, volume 163, issue C, DOI: 10.1016/j.eneco.2026.109625.
• Ndubuisi, Gideon & Urom, Christian & Benkraiem, Ramzi, 2026, "Energy transition minerals: Systemic interdependence, market-specific dynamics, and the role of global risk factors in an evolving policy landscape," Energy Policy, Elsevier, volume 217, issue C, DOI: 10.1016/j.enpol.2026.115450.
• 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.
• 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.
• 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.
• Sila, Jan & Kocenda, Evzen & Kristoufek, Ladislav & Kukacka, Jiri, 2026, "Determinants of wash trading in major cryptoexchanges," International Review of Financial Analysis, Elsevier, volume 117, issue C, DOI: 10.1016/j.irfa.2026.105283.
• Yu, Deshui & Xiao, Jiefeng & Zhou, Weilun & Zhou, Mingtao, 2026, "Fiscal uncertainty and time-varying expected market returns," International Review of Financial Analysis, Elsevier, volume 117, issue C, DOI: 10.1016/j.irfa.2026.105310.
• Čech, František & Kočenda, Evžen, 2026, "Tail risk forecasting in the U.S. Treasury futures market," International Review of Financial Analysis, Elsevier, volume 118, issue C, DOI: 10.1016/j.irfa.2026.105329.
• Yamamoto, Taihei, 2026, "Sovereign Z-spread relative value and currency risk: Evidence from a cross-asset block network," International Review of Financial Analysis, Elsevier, volume 118, issue C, DOI: 10.1016/j.irfa.2026.105369.
• Bonaccolto, Giovanni & Caporin, Massimiliano & Cepni, Oguzhan & Gupta, Rangan, 2026, "Forecasting realized volatility of state-level stock markets of the United States: The role of sentiment," International Review of Financial Analysis, Elsevier, volume 118, issue C, DOI: 10.1016/j.irfa.2026.105376.
• Figuerola-Ferretti, Isabel & Paraskevopoulos, Ioannis & Tang, Tao, 2026, "Enhancing pairs trading performance through spread delta hedging," International Review of Financial Analysis, Elsevier, volume 118, issue C, DOI: 10.1016/j.irfa.2026.105394.
• Cui, Jinxin & El Khoury, Rim & Alshater, Muneer M., 2026, "Higher-order and cross-moment spillovers between digital and traditional financial assets," International Review of Financial Analysis, Elsevier, volume 118, issue C, DOI: 10.1016/j.irfa.2026.105399.
• 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.
• Willeboordse, Frederick H., 2026, "Does gamma survive the close?," Finance Research Letters, Elsevier, volume 106, issue C, DOI: 10.1016/j.frl.2026.110281.
• 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.
• Zheng, Yao, 2026, "Trump tariff shockwaves: Trade policy uncertainty and global equity connectedness," Finance Research Letters, Elsevier, volume 107, issue C, DOI: 10.1016/j.frl.2026.110362.
• ÜNLÜ, Ulaş & Bayram, Fatih, 2026, "Do dispersion-based tests capture herding? Evidence from cryptocurrency markets," Finance Research Letters, Elsevier, volume 107, issue C, DOI: 10.1016/j.frl.2026.110397.
• Zheng, Kai & Low, Rand & Wang, Ruili, 2026, "Regime labels are not representation-invariant: Implications for model risk governance," Finance Research Letters, Elsevier, volume 108, issue C, DOI: 10.1016/j.frl.2026.110383.
• Atak, Alev, 2026, "Volatility regime probabilities and the horizon profile of tail risk," Finance Research Letters, Elsevier, volume 108, issue C, DOI: 10.1016/j.frl.2026.110425.
• Yatawara, Anjana, 2026, "Good portfolios from bad forecasts: The anatomy of LLM volatility estimates," Finance Research Letters, Elsevier, volume 109, issue C, DOI: 10.1016/j.frl.2026.110572.
• Ansarinasab, Moslem & Urom, Christian, 2026, "Navigating economic policy uncertainty with gold-backed and traditional cryptocurrencies: A wavelet quantile-based analysis," Finance Research Letters, Elsevier, volume 109, issue C, DOI: 10.1016/j.frl.2026.110586.
• Zheng, Kai & Low, Rand & Wang, Ruili, 2026, "Regime labels are not resolution-invariant: Evidence from the 2026 US–Iran escalation," Finance Research Letters, Elsevier, volume 110, issue C, DOI: 10.1016/j.frl.2026.110329.
• Zhong, Yilin & Fu, Yuqi & Zhu, Sixuan, 2026, "Foundation models do not beat simple volatility benchmarks: Evidence from 5000 Chinese stocks," Finance Research Letters, Elsevier, volume 110, issue C, DOI: 10.1016/j.frl.2026.110606.
• Bonafini, Tommaso & Weissensteiner, Alex, 2026, "The option-implied duration of the US–Iran conflict," Finance Research Letters, Elsevier, volume 110, issue C, DOI: 10.1016/j.frl.2026.110649.
• Wang, Lei & Zhao, Shuran & Duan, Chenggang, 2026, "Intraday tail risk dynamics under high-frequency trading regulatory rules: Evidence from tick-by-tick data," Finance Research Letters, Elsevier, volume 110, issue C, DOI: 10.1016/j.frl.2026.110654.
• Mehr, Payam, 2026, "The horizon structure of diversification: Effective dimension across post-2020 market regimes," Finance Research Letters, Elsevier, volume 111, issue C, DOI: 10.1016/j.frl.2026.110726.
• Achim, Mihai-Adrian & Belbe, Ștefana & Mare, Codruța & Otto, Philipp, 2026, "Spatial effects and uncertainty in cryptocurrencies – the case of network ARCH models," Finance Research Letters, Elsevier, volume 111, issue C, DOI: 10.1016/j.frl.2026.110729.
• Kristjanpoller, Werner & Tabak, Benjamin Miranda & Araneda, Aldo & Bouri, Elie, 2026, "Do electricity prices predict the returns and volatility of cryptocurrency mining companies? Evidence from GARCH and machine-learning models," Finance Research Letters, Elsevier, volume 111, issue C, DOI: 10.1016/j.frl.2026.110734.
• 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.
• Proietti, Tommaso, 2026, "Ups and (draw) downs," International Journal of Forecasting, Elsevier, volume 42, issue 2, pages 457-473, DOI: 10.1016/j.ijforecast.2025.07.008.
• 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.
• Shi, Fangquan & Qiu, Jiaping & Gu, Xinhua & Shu, Lianjie, 2026, "Integrating minds: An ensemble approach to portfolio optimization," Journal of Banking & Finance, Elsevier, volume 192, issue C, DOI: 10.1016/j.jbankfin.2026.107815.
• Huang, Xiao & Liu, Xiaochun, 2026, "Real-time macroeconomic quantile factors for daily Value-at-Risk and Expected Shortfall forecasting: Statistical significance and economic value," Journal of Banking & Finance, Elsevier, volume 192, issue C, DOI: 10.1016/j.jbankfin.2026.107831.
• 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.
• Han, Lin & Trück, Stefan & Truong, Chi, 2026, "A note to Maghyereh et al. (2016) — Revisiting the directional connectedness of implied volatility between crude oil and equity markets," Journal of Commodity Markets, Elsevier, volume 43, issue C, DOI: 10.1016/j.jcomm.2026.100569.
• Yang, Yao & Karali, Berna, 2026, "Information shocks and coexceedances in agricultural commodity futures," Journal of Commodity Markets, Elsevier, volume 43, issue C, DOI: 10.1016/j.jcomm.2026.100575.
• 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.
• Cassinis, Maria Giulia & Ferrari Minesso, Massimo & Van Robays, Ine, 2026, "Supply shocks and inflation: Timely insights from financial markets," Journal of Monetary Economics, Elsevier, volume 163, issue C, DOI: 10.1016/j.jmoneco.2026.103993.
• Wright, Jonathan H., 2026, "What is core inflation?," Journal of Monetary Economics, Elsevier, volume 164, issue C, DOI: 10.1016/j.jmoneco.2026.103963.
• Dong, Junqi & Shi, Zelong & Qiu, Xiaofeng, 2026, "Inter-industry risk contagion and asset pricing: A time-varying spatial factor model," Pacific-Basin Finance Journal, Elsevier, volume 100, issue C, DOI: 10.1016/j.pacfin.2026.103330.
• 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.
• Wang, Xinyu & Wang, Shaoping & Feng, Hao, 2026, "Comparing factor models across different market regimes: Evidence from China," Pacific-Basin Finance Journal, Elsevier, volume 99, issue C, DOI: 10.1016/j.pacfin.2026.103234.
• 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.
• 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.
• Martins, António Miguel & Albuquerque, Bruno & Sardinha, Luís & Moutinho, Nuno, 2026, "The impact of wildfires on US insurance firms: Evidence for the costliest wildfire in California," The Quarterly Review of Economics and Finance, Elsevier, volume 107, issue C, DOI: 10.1016/j.qref.2026.102160.
• Rufai, Aliyu A. & Udaah, Isaiah I. & Salisu, Afees A., 2026, "Financial stress and exchange rate volatility in sub-Saharan Africa: Evidence from new datasets," Research in Economics, Elsevier, volume 80, issue 3, DOI: 10.1016/j.rie.2026.101143.
• Mason, Charles F. & Taschini, Luca & Wilmot, Neil A., 2026, "Jumping beans: Implications of fat tails in international soybean and biofuels markets," Resource and Energy Economics, Elsevier, volume 85, issue C, DOI: 10.1016/j.reseneeco.2025.101550.
• Akgul, Ersin Firat & Haralambides, Hercules & Akdamar, Emrah, 2026, "Strategic metals, rare earths, green transition, and tanker markets: Dynamic connectedness and strategic decision-making," Research in Transportation Economics, Elsevier, volume 117, issue C, DOI: 10.1016/j.retrec.2026.101783.
• Lee, Geul & Chen, Jing & Ryu, Doojin, 2026, "Effectiveness of domain stabilization: A broader perspective," International Review of Economics & Finance, Elsevier, volume 105, issue C, DOI: 10.1016/j.iref.2025.104799.
• Sultana, Nargis, 2026, "Volatility regimes and structural shifts in geopolitical risk: Evidence from GARCH and breakpoint analysis," International Review of Economics & Finance, Elsevier, volume 105, issue C, DOI: 10.1016/j.iref.2025.104803.
• Li, Yaxing & Lau, Wee-Yeap & Ng, Kok-Haur, 2026, "From crisis to crisis: The roles of interest rate and inflation in shaping stock returns in selected advanced economies," International Review of Economics & Finance, Elsevier, volume 105, issue C, DOI: 10.1016/j.iref.2025.104804.
• Forcellini, Marcello & Vento, Gianfranco Antonio & Gracikova, Eva, 2026, "“The impact of Covid-19 on the market volatility: A quantitative analysis of the Italian banking sector”," International Review of Economics & Finance, Elsevier, volume 105, issue C, DOI: 10.1016/j.iref.2025.104814.
• Li, Shun & Liu, Yang, 2026, "A new perspective on gold as a risk hedge: Long-term impacts of bilateral political tensions between the U.S. and China," International Review of Economics & Finance, Elsevier, volume 106, issue C, DOI: 10.1016/j.iref.2026.104918.
• Bargman, Daniil, 2026, "Latent variable modelling by supervised diffusion," International Review of Economics & Finance, Elsevier, volume 106, issue C, DOI: 10.1016/j.iref.2026.104972.
• Luangaram, Pongsak & Sethapramote, Yuthana & Thampanishvong, Kannika & Uddin, Gazi Salah, 2026, "Climate risk and financial stability: A systemic risk perspective from Thailand," International Review of Economics & Finance, Elsevier, volume 106, issue C, DOI: 10.1016/j.iref.2026.104976.