Research classified by Journal of Economic Literature (JEL) codes

2025

• Gohdes, Nicholas, 2025, "On spot revenues, capital structure and trade off theory: Analysing investment risk for contracted renewables," Energy Economics, Elsevier, volume 148, issue C, DOI: 10.1016/j.eneco.2025.108703.
• Candila, Vincenzo & Petrella, Lea & Andreani, Mila, 2025, "Mixed-frequency Quantile Regression Forests for Value-at-Risk forecasting," Energy Economics, Elsevier, volume 149, issue C, DOI: 10.1016/j.eneco.2025.108706.
• Chen, Wenting & Yang, Zhao & He, Xin-Jiang, 2025, "Pricing energy futures options: The role of seasonality and liquidity," Energy Economics, Elsevier, volume 149, issue C, DOI: 10.1016/j.eneco.2025.108737.
• Salisu, Afees A. & Olaniran, Abeeb O. & Vo, Xuan Vinh, 2025, "Geopolitical risk, climate risk and financial innovation in the energy market," Energy, Elsevier, volume 315, issue C, DOI: 10.1016/j.energy.2025.134365.
• Wen, Danyan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2025, "Forecasting gasoline prices using oil prices: New evidence based on the rocket and feather hypothesis," Energy, Elsevier, volume 335, issue C, DOI: 10.1016/j.energy.2025.138115.
• Bao, Kun & Chen, Denghui & Gu, Chen & Papakroni, Erlina & Stan, Raluca & Wang, Muhan, 2025, "The informational role of forex option volume," International Review of Financial Analysis, Elsevier, volume 100, issue C, DOI: 10.1016/j.irfa.2025.103978.
• Goodell, John W. & Muckley, Cal B. & Neelakantan, Parvati & Ryan, Darragh & Yu, Pei-Shan, 2025, "AI culture ‘profiling’ and anti-money laundering: Efficacy vs ethics," International Review of Financial Analysis, Elsevier, volume 101, issue C, DOI: 10.1016/j.irfa.2025.103980.
• Hao, Mengshu & Xu, Yang & Yuan, Peiyao & Chen, Kecai, 2025, "Unveiling the impact of irrelevant answers on analyst forecast errors: A topic modeling approach," International Review of Financial Analysis, Elsevier, volume 102, issue C, DOI: 10.1016/j.irfa.2025.104041.
• Alexakis, Christos & Gogas, Periklis & Petrella, Giovanni & Polemis, Michael & Salvadè, Federica, 2025, "Investigating the investment readiness of European SMEs: A machine learning approach," International Review of Financial Analysis, Elsevier, volume 105, issue C, DOI: 10.1016/j.irfa.2025.104439.
• Mertzanis, Charilaos, 2025, "Artificial intelligence and investment management: Structure, strategy, and governance," International Review of Financial Analysis, Elsevier, volume 107, issue C, DOI: 10.1016/j.irfa.2025.104599.
• Wang, Jiqian & Chen, Chuang & Dai, Xingyu, 2025, "News topic attention and crude oil price predictability," International Review of Financial Analysis, Elsevier, volume 108, issue PA, DOI: 10.1016/j.irfa.2025.104696.
• Cui, Xudong & Gong, Pu & Liu, Tong, 2025, "The disposition effect and market volatility prediction," International Review of Financial Analysis, Elsevier, volume 108, issue PB, DOI: 10.1016/j.irfa.2025.104719.
• Mercik, Aleksander & Będowska-Sójka, Barbara & Karim, Sitara & Zaremba, Adam, 2025, "Cross-sectional interactions in cryptocurrency returns," International Review of Financial Analysis, Elsevier, volume 97, issue C, DOI: 10.1016/j.irfa.2024.103809.
• Zhang, Yaojie & He, Mengxi & Wang, Yudong & Wen, Danyan, 2025, "Model specification for volatility forecasting benchmark," International Review of Financial Analysis, Elsevier, volume 97, issue C, DOI: 10.1016/j.irfa.2024.103850.
• Chen, Juan & Xiao, Zuoping, 2025, "Is the business cycle getting hit by climate policy uncertainty in China?," Finance Research Letters, Elsevier, volume 71, issue C, DOI: 10.1016/j.frl.2024.106344.
• Jin, Yangsoo, 2025, "Distinctive impacts of ESG pillars on corporate financial performance: A random forest analysis of Korean listed firms," Finance Research Letters, Elsevier, volume 71, issue C, DOI: 10.1016/j.frl.2024.106395.
• Darvas, Zsolt & Schepp, Zoltán, 2025, "Forecasting the daily exchange rate of the UK pound sterling against the US dollar," Finance Research Letters, Elsevier, volume 71, issue C, DOI: 10.1016/j.frl.2024.106451.
• Proelss, Juliane & Schweizer, Denis & Sévigny, Stéphane, 2025, "PolitiFi: Just another meme, or instrumental for winning elections?," Finance Research Letters, Elsevier, volume 72, issue C, DOI: 10.1016/j.frl.2024.106533.
• Wan, Runqing & Xing, Bingxin Ann, 2025, "Can switching between predictive models and the historical average improve bond return predictability?," Finance Research Letters, Elsevier, volume 75, issue C, DOI: 10.1016/j.frl.2025.106874.
• Er, Selahattin Tolga & Kantorowicz, Jaroslaw, 2025, "Financial market reaction to the end of the right-wing populist government: The case of Poland," Finance Research Letters, Elsevier, volume 76, issue C, DOI: 10.1016/j.frl.2025.106906.
• Kim, Hongjoong & Park, Sungwon & Moon, Kyoung-Sook, 2025, "Markov regime-switching in pricing equity-linked securities: An empirical study for losses in HSCEI-linked products," Finance Research Letters, Elsevier, volume 76, issue C, DOI: 10.1016/j.frl.2025.106929.
• Zhang, Junyu & Ruan, Xinfeng, 2025, "Inferring jump dynamics from weekly options: A non-parametric method," Finance Research Letters, Elsevier, volume 76, issue C, DOI: 10.1016/j.frl.2025.106965.
• Perlin, Marcelo S. & Foguesatto, Cristian R. & Müller, Fernanda M. & Righi, Marcelo B., 2025, "Can AI beat a naive portfolio? An experiment with anonymized data," Finance Research Letters, Elsevier, volume 78, issue C, DOI: 10.1016/j.frl.2025.107126.
• Taussig, Roi D., 2025, "Cash duration, risk, and implications for stock returns," Finance Research Letters, Elsevier, volume 79, issue C, DOI: 10.1016/j.frl.2025.106787.
• Gong, Xue & Ji, Shidong & Zhang, Yaojie, 2025, "Attention to climate events and carbon price volatility," Finance Research Letters, Elsevier, volume 79, issue C, DOI: 10.1016/j.frl.2025.107253.
• Sharma, Shivani & Sharma, Udayan, 2025, "What does green bond prospectus communicate about credit spread?," Finance Research Letters, Elsevier, volume 79, issue C, DOI: 10.1016/j.frl.2025.107267.
• Li, Chenxing & Yang, Qiao, 2025, "An infinite hidden Markov model with GARCH for short-term interest rates," Finance Research Letters, Elsevier, volume 80, issue C, DOI: 10.1016/j.frl.2025.107294.
• Hornuf, Lars & Klerner, Johannes & Schweizer, Denis & Vrankar, Daniel, 2025, "Forecasting lithium mine output using satellite data," Finance Research Letters, Elsevier, volume 81, issue C, DOI: 10.1016/j.frl.2025.107433.
• Mokni, Khaled & Nammouri, Hela & Dhaoui, Chedia & Ben Jabeur, Sami, 2025, "Is a picture really worth a thousand words? Investigating the impact of investor sentiment on sustainable stocks," Finance Research Letters, Elsevier, volume 81, issue C, DOI: 10.1016/j.frl.2025.107520.
• Zhou, Zhiping & Wang, Kai, 2025, "War discourse predicts stock market volatility: A century of evidence," Finance Research Letters, Elsevier, volume 82, issue C, DOI: 10.1016/j.frl.2025.107567.
• Kaplanski, Guy, 2025, "The box office as a leading indicator of investor sentiment," Finance Research Letters, Elsevier, volume 85, issue PB, DOI: 10.1016/j.frl.2025.107990.
• Becsky-Nagy, Patrícia & Száz, János & Vidovics-Dancs, Ágnes & Váradi, Kata, 2025, "Pricing of compound exchange options," Finance Research Letters, Elsevier, volume 85, issue PC, DOI: 10.1016/j.frl.2025.108029.
• Nie, Chun-Xiao, 2025, "Trump tariff policies shock information flows across major global equity markets," Finance Research Letters, Elsevier, volume 86, issue PA, DOI: 10.1016/j.frl.2025.108319.
• Minami, Koutaroh, 2025, "Detecting bubbles via deterioration in machine learning predictive accuracy," Finance Research Letters, Elsevier, volume 86, issue PB, DOI: 10.1016/j.frl.2025.108424.
• Teng, Huei-Wen & Huang, Hsin-Pei & Shih, Yu-Chuan, 2025, "Tail risk in Bitcoin under the Basel framework," Finance Research Letters, Elsevier, volume 86, issue PC, DOI: 10.1016/j.frl.2025.108528.
• Koutmos, Dimitrios & Gunay, Samet & Payne, James E., 2025, "Market expectations and the holding behaviors of bitcoin whales, dolphins, and minnows," Finance Research Letters, Elsevier, volume 86, issue PE, DOI: 10.1016/j.frl.2025.108590.
• Mananga, Pierre Nkou & Lin, Shiqiang & Zhang, Hairui, 2025, "A network approach to interbank contagion risk in South Africa," Journal of Financial Stability, Elsevier, volume 77, issue C, DOI: 10.1016/j.jfs.2025.101386.
• Eboli, Mario, 2025, "Systemic risk in centralised interbank networks," Journal of Financial Stability, Elsevier, volume 81, issue C, DOI: 10.1016/j.jfs.2025.101471.
• Nguyen, Harvey & Pham, Anh Viet & Pham, Man Duy (Marty) & Pham, Mia Hang, 2025, "Climate change and corporate credit worthiness: International evidence," Global Finance Journal, Elsevier, volume 64, issue C, DOI: 10.1016/j.gfj.2024.101073.
• Liu, Dan, 2025, "Seeing is believing: Forecasting oil market returns with artificial intelligence-powered visual climate change perception," Global Finance Journal, Elsevier, volume 68, issue C, DOI: 10.1016/j.gfj.2025.101174.
• Yuan, Ying & Qu, Yong & Qiao, Sijia, 2025, "Equity premium prediction: A constraint-based predictor decomposition approach," Global Finance Journal, Elsevier, volume 68, issue C, DOI: 10.1016/j.gfj.2025.101199.
• Padha, Vimarsh & Chaubal, Aditi, 2025, "Multiscale foreign exchange dynamics in India: A wavelet approach," International Economics, Elsevier, volume 184, issue C, DOI: 10.1016/j.inteco.2025.100652.
• Zhou, Mingtao & Ma, Yong, 2025, "Climate risk and predictability of global stock market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 101, issue C, DOI: 10.1016/j.intfin.2025.102135.
• Cakici, Nusret & Zaremba, Adam, 2025, "Accounting vs technical information: what matters more for stock return predictability?," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 104, issue C, DOI: 10.1016/j.intfin.2025.102207.
• M’bakob, Gilles Brice & Mandeng ma Ntamack, Jules & Mfouapon, Georges Kriyoss, 2025, "Anticipated psychological spreads: Cryptocurrencies’ hidden short-term monitors and implications for price forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 104, issue C, DOI: 10.1016/j.intfin.2025.102224.
• Xu, Dezhong & Li, Bin & Singh, Tarlok & Chen, Xiaoyue & Li, Jinze, 2025, "Cross-market overnight time-series momentum," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 105, issue C, DOI: 10.1016/j.intfin.2025.102239.
• Sapkota, Niranjan, 2025, "The crypto collapse chronicles: Decoding cryptocurrency exchange defaults," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 99, issue C, DOI: 10.1016/j.intfin.2024.102093.
• Leong, Minhao & Alexeev, Vitali & Kwok, Simon, 2025, "Managing cryptocurrency risk exposures in equity portfolios: Evidence from high-frequency data," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 99, issue C, DOI: 10.1016/j.intfin.2025.102123.
• Beckmann, Joscha & Czudaj, Robert L., 2025, "Fundamental determinants of exchange rate expectations," International Journal of Forecasting, Elsevier, volume 41, issue 3, pages 1003-1021, DOI: 10.1016/j.ijforecast.2024.09.004.
• Bauwens, Luc & Xu, Yongdeng, 2025, "The contribution of realized variance–covariance models to the economic value of volatility timing," International Journal of Forecasting, Elsevier, volume 41, issue 3, pages 1165-1183, DOI: 10.1016/j.ijforecast.2024.11.010.
• Samartzis, Panagiotis, 2025, "Predicting the relative performance among financial assets: A comparative analysis of different approaches," International Journal of Forecasting, Elsevier, volume 41, issue 4, pages 1428-1449, DOI: 10.1016/j.ijforecast.2024.12.008.
• Degiannakis, Stavros & Kafousaki, Eleftheria, 2025, "Disaggregating VIX," International Journal of Forecasting, Elsevier, volume 41, issue 4, pages 1559-1588, DOI: 10.1016/j.ijforecast.2025.01.007.
• Cakici, Nusret & Fieberg, Christian & Metko, Daniel & Zaremba, Adam, 2025, "Factor momentum versus price momentum: Insights from international markets," Journal of Banking & Finance, Elsevier, volume 170, issue C, DOI: 10.1016/j.jbankfin.2024.107332.
• Afik, Zvika & Galil, Koresh, 2025, "Have ratings become more accurate?," Journal of Banking & Finance, Elsevier, volume 170, issue C, DOI: 10.1016/j.jbankfin.2024.107337.
• Dumitru, Ana Maria H. & Hizmeri, Rodrigo & Izzeldin, Marwan, 2025, "Forecasting the realized variance in the presence of intraday periodicity," Journal of Banking & Finance, Elsevier, volume 170, issue C, DOI: 10.1016/j.jbankfin.2024.107342.
• Liu, Yunting & Zhu, Yandi, 2025, "Good idiosyncratic volatility, bad idiosyncratic volatility, and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, volume 170, issue C, DOI: 10.1016/j.jbankfin.2024.107343.
• Feng, Guanhao & He, Xin & Wang, Yanchu & Wu, Chunchi, 2025, "Predicting individual corporate bond returns," Journal of Banking & Finance, Elsevier, volume 171, issue C, DOI: 10.1016/j.jbankfin.2024.107372.
• Fragkiskos, Apollon & Krasotkina, Olga & Spilker, Harold D. & Wermers, Russ, 2025, "Private Equity Fund Performance: A Time-Series Approach," Journal of Banking & Finance, Elsevier, volume 177, issue C, DOI: 10.1016/j.jbankfin.2025.107470.
• Lehkonen, Heikki & Heimonen, Kari & Pukthuanthong, Kuntara, 2025, "Media tone is a priced risk factor in currency markets," Journal of Banking & Finance, Elsevier, volume 180, issue C, DOI: 10.1016/j.jbankfin.2025.107542.
• Beckmeyer, Heiner & Wiedemann, Timo, 2025, "All Days Are Not Created Equal: Understanding Momentum by Learning to Weight Past Returns," Journal of Banking & Finance, Elsevier, volume 181, issue C, DOI: 10.1016/j.jbankfin.2025.107565.
• Kieren, Pascal & König-Kersting, Christian & Schmidt, Robert & Trautmann, Stefan & Heinicke, Franziska, 2025, "First-order and higher-order inflation expectations: Evidence about Households and Firms," Journal of Economic Behavior & Organization, Elsevier, volume 233, issue C, DOI: 10.1016/j.jebo.2025.106988.
• Dias, Marco Antonio Guimarães & Borges, Roberto Evelim Penha, 2025, "Valuing oil reserve volumes under price uncertainty," Journal of Economics and Business, Elsevier, volume 137, issue C, DOI: 10.1016/j.jeconbus.2025.106277.
• Horvath, Ferenc, 2025, "Arbitrage-based recovery," Journal of Financial Economics, Elsevier, volume 163, issue C, DOI: 10.1016/j.jfineco.2024.103969.
• Barroso, Pedro & Detzel, Andrew & Maio, Paulo, 2025, "The volatility puzzle of the beta anomaly," Journal of Financial Economics, Elsevier, volume 165, issue C, DOI: 10.1016/j.jfineco.2025.103994.
• Golez, Benjamin & Koudijs, Peter, 2025, "Equity duration and predictability," Journal of Financial Economics, Elsevier, volume 172, issue C, DOI: 10.1016/j.jfineco.2025.104114.
• Yao, Xiaoyang & Maimaitijiang, Sairidaer & Li, Jianfeng & Le, Wei, 2025, "How financial markets respond to climate policy uncertainty: A dynamic resilience analysis," Journal of Commodity Markets, Elsevier, volume 39, issue C, DOI: 10.1016/j.jcomm.2025.100490.
• Bermpei, Theodora & Triantafyllou, Athanasios, 2025, "Supply and Demand shocks: the short-term and long-term drivers of oil price uncertainty," Journal of Commodity Markets, Elsevier, volume 39, issue C, DOI: 10.1016/j.jcomm.2025.100495.
• Kiohos, Apostolos & Stoupos, Nikolaos, 2025, "Monetary alignment or divergence? - Exchange rates and economic dynamics in non-euro European countries," The Journal of Economic Asymmetries, Elsevier, volume 32, issue C, DOI: 10.1016/j.jeca.2025.e00421.
• Mili, Mehdi & Sohrab, Ebrahim & Hamza, Tahar, 2025, "Green transitions and asymmetric volatility spillovers: A time-varying GAS copula analysis of clean and fossil energy markets," The Journal of Economic Asymmetries, Elsevier, volume 32, issue C, DOI: 10.1016/j.jeca.2025.e00439.
• Shi, Qi, 2025, "Technical indicators and aggregate stock returns: An updated look," Journal of Multinational Financial Management, Elsevier, volume 77, issue C, DOI: 10.1016/j.mulfin.2025.100898.
• Liu, Zechu & Nikitopoulos, Christina Sklibosios & Phua, Kenny & Wang, Jianxin, 2025, "Data-driven monetary policy: Evidence from the Bank of Japan’s equity purchase program," Pacific-Basin Finance Journal, Elsevier, volume 90, issue C, DOI: 10.1016/j.pacfin.2024.102615.
• Kampouris, Ilias & Mertzanis, Charilaos & Samitas, Aristeidis, 2025, "Natural disaster shocks and commodity market volatility: A machine learning approach," Pacific-Basin Finance Journal, Elsevier, volume 90, issue C, DOI: 10.1016/j.pacfin.2024.102618.
• Chiu, I-Chan & Hung, Mao-Wei, 2025, "Finance-specific large language models: Advancing sentiment analysis and return prediction with LLaMA 2," Pacific-Basin Finance Journal, Elsevier, volume 90, issue C, DOI: 10.1016/j.pacfin.2024.102632.
• Procasky, William J. & Yin, Anwen, 2025, "Evolution of the relative efficiency of CDS and equity markets in Japan: Does one market have a long-term informational advantage over the other?," Pacific-Basin Finance Journal, Elsevier, volume 92, issue C, DOI: 10.1016/j.pacfin.2025.102807.
• Li, Xiao-Xin & Xie, Chi & Wang, Gang-Jin & Zhu, You & Li, Zhao-Chen & Zhang, Zhi-Yu, 2025, "Enhancing stock market return predictability by using a novel autoencoder-based aggregate EPU index," Pacific-Basin Finance Journal, Elsevier, volume 93, issue C, DOI: 10.1016/j.pacfin.2025.102873.
• Wu, Haoran & Gao, Zhiwei & Nie, Boyang & Zhao, Binru, 2025, "Can machines learn Chinese mutual funds?," Pacific-Basin Finance Journal, Elsevier, volume 94, issue C, DOI: 10.1016/j.pacfin.2025.102935.
• Cordeiro, Werley & Caldeira, João F. & Moura, Guilherme V., 2025, "Forecasting the Brazilian yield curve using macroeconomics expectations and time-varying volatility," The Quarterly Review of Economics and Finance, Elsevier, volume 104, issue C, DOI: 10.1016/j.qref.2025.102072.
• Franco, João Pedro M. & Laurini, Márcio P., 2025, "Quantifying systemic risk in cryptocurrency markets: A high-frequency approach," International Review of Economics & Finance, Elsevier, volume 102, issue C, DOI: 10.1016/j.iref.2025.104214.
• Horn, Matthias & Oehler, Andreas & Dabbous, Amal & Croutzet, Alexandre, 2025, "The relation between environmental awareness and stock returns," International Review of Economics & Finance, Elsevier, volume 103, issue C, DOI: 10.1016/j.iref.2025.104383.
• Ding, Zhiguo & Qi, Ji & Tang, Yun & Zhao, Xuankai, 2025, "Unveiling low productivity premium: A tale from emerging market," International Review of Economics & Finance, Elsevier, volume 103, issue C, DOI: 10.1016/j.iref.2025.104399.
• Akyildirim, Erdinc & Aysan, Ahmet Faruk & Cepni, Oguzhan & Corbet, Shaen, 2025, "News sentiment and DeFi coin returns: An empirical analysis," International Review of Economics & Finance, Elsevier, volume 103, issue C, DOI: 10.1016/j.iref.2025.104483.
• Ardakani, Omid M. & Dalko, Viktoria & Shim, Hyeeun, 2025, "Information loss from perception alignment," International Review of Economics & Finance, Elsevier, volume 97, issue C, DOI: 10.1016/j.iref.2024.103830.
• Kumar, Satish & Rao, Amar & Dhochak, Monika, 2025, "Hybrid ML models for volatility prediction in financial risk management," International Review of Economics & Finance, Elsevier, volume 98, issue C, DOI: 10.1016/j.iref.2025.103915.
• Jakubik, Petr & Moinescu, Bogdan Gabriel, 2025, "Tailored microprudential recommendations for bank profit retention using a risk tolerance framework," International Review of Economics & Finance, Elsevier, volume 98, issue C, DOI: 10.1016/j.iref.2025.103951.
• Jiang, Yifu & Olmo, Jose & Atwi, Majed, 2025, "High-dimensional multi-period portfolio allocation using deep reinforcement learning," International Review of Economics & Finance, Elsevier, volume 98, issue C, DOI: 10.1016/j.iref.2025.103996.
• Wang, Fenghua & Ye, Qiang & Li, Jiang & Shi, Wen, 2025, "Blockchain adoption and analyst forecast accuracy," Research in International Business and Finance, Elsevier, volume 73, issue PA, DOI: 10.1016/j.ribaf.2024.102593.
• Melo-Velandia, Luis Fernando & Romero, José Vicente & Ramírez-González, Mahicol Stiben, 2025, "The Global Financial Cycle and country risk in emerging markets during stress episodes: A Copula-CoVaR approach," Research in International Business and Finance, Elsevier, volume 73, issue PA, DOI: 10.1016/j.ribaf.2024.102601.
• Bouteska, Ahmed & Bhuiyan, Faruk & Sharif, Taimur & Miftah, Badir & Abedin, Mohammad Zoynul, 2025, "Impact of green bonds on traditional equity markets," Research in International Business and Finance, Elsevier, volume 73, issue PA, DOI: 10.1016/j.ribaf.2024.102606.
• Fredj, Imen & Gana, Marjène Rabah & Trabelsi, Samir, 2025, "OCI information and analysts’ forecast accuracy: Evidence from US commercial banks☆," Research in International Business and Finance, Elsevier, volume 73, issue PA, DOI: 10.1016/j.ribaf.2024.102615.
• Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2025, "Volatility forecasting and volatility-timing strategies: A machine learning approach," Research in International Business and Finance, Elsevier, volume 75, issue C, DOI: 10.1016/j.ribaf.2024.102723.
• Yi, Siyu & Li, Sitong & Chen, Gengxuan, 2025, "Banking system stress: Unravelling its influence on U.S. industry risk," Research in International Business and Finance, Elsevier, volume 76, issue C, DOI: 10.1016/j.ribaf.2025.102806.
• Chen, Rui & Jiang, Haiqi & Guo, Tingyu & Fan, Chenyou, 2025, "Can Large Language Models forecast carbon price movements? Evidence from Chinese carbon markets," Research in International Business and Finance, Elsevier, volume 77, issue PB, DOI: 10.1016/j.ribaf.2025.102951.
• Abdul Wahab, Effiezal Aswadi & How, Janice & Ismail, Ismaanzira, 2025, "Overconfident male CEOs and corporate outcomes: The moderating role of female CFOs," Research in International Business and Finance, Elsevier, volume 77, issue PB, DOI: 10.1016/j.ribaf.2025.102981.
• Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2025, "Measuring the impact of climate transition risk on the systemic risk: A multivariate quantile-located ES approach," Research in International Business and Finance, Elsevier, volume 80, issue C, DOI: 10.1016/j.ribaf.2025.103127.
• Chapkovski, Philipp & Cordoni, Francesco & Giannetti, Caterina & Lillo, Fabrizio, 2025, "Cross−impact and price bubbles in hybrid financial markets," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, volume 118, issue C, DOI: 10.1016/j.socec.2025.102398.
• Batra, Shallu & Tiwari, Aviral Kumar & Yadav, Mahender & Danso, Albert, 2025, "Connectedness among diverse financial assets: Evidence from cryptocurrency uncertainty indices," Technological Forecasting and Social Change, Elsevier, volume 210, issue C, DOI: 10.1016/j.techfore.2024.123874.
• Cai, Yifei & Fu, Xiaowen & Zhang, Yahua, 2025, "Geopolitical risks and airlines stock return — Implications to the financial stability of European airlines," Transport Policy, Elsevier, volume 170, issue C, pages 51-57, DOI: 10.1016/j.tranpol.2025.05.001.
• Inês Lisboa & Magali Costa & Carolina Reis, 2025, "Financial reporting quality impact on the firms’ capital structure," Review of Accounting and Finance, Emerald Group Publishing Limited, volume 24, issue 3, pages 310-328, January, DOI: 10.1108/RAF-07-2024-0290.
• Malgorzata Maliszewska & Barbara Karlikowska & Jakub Prachowski, 2025, "Analysis of Corporate Insolvency Trends in Poland between 2021 and 2024," European Research Studies Journal, European Research Studies Journal, volume 0, issue 1, pages 1050-1071.
• Krzysztof Bednarz, 2025, "Alternative Prices Under Markowitz’s Portfolio Model for FOREX Transactions," European Research Studies Journal, European Research Studies Journal, volume 0, issue 2, pages 990-1017.
• Artur Kulpa & Grzegorz Wojarnik, 2025, "Prompt Engineering in Finance: An LLM-Based Multi-Agent Architecture for Decision Support," European Research Studies Journal, European Research Studies Journal, volume 0, issue 3, pages 1201-1217.
• Dorota Witkowska & Blazej Socha, 2025, "Application of Taxonomic Measures to Bankruptcy Prediction," European Research Studies Journal, European Research Studies Journal, volume 0, issue 4, pages 531-543.
• Demetrescu, Matei & Rodrigues, Paulo MM & Taylor, AM Robert, 2025, "Predictive Quantile Regressions with Persistent and Heteroskedastic Predictors: A Powerful 2SLS Testing Approach," Essex Finance Centre Working Papers, University of Essex, Essex Business School, number 37486, Apr.
• Peter Albrecht & Daniel Pastorek & David Manousek, 2025, "Riding the Waves of Crypto Sentiment: Examining the Dynamics Between Returns and Sentiment in the Cryptocurrency Market," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 75, issue 2, pages 98-127, June.
• Beverly Hirtle & Matthew Plosser, 2025, "Bank Economic Capital," Staff Reports, Federal Reserve Bank of New York, number 1144, Mar, DOI: 10.59576/sr.1144.
• Alexander E. Abramov & Maria I. Chernova & Andrey G. Kosyrev, 2025, "Private and Collective Direct Investments in Popular Shares of Russian Companies," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 8-26, February, DOI: 10.31107/2075-1990-2025-1-8-26.
• Dean Fantazzini, 2025, "Detecting Stablecoin Failure with Simple Thresholds and Panel Binary Models: The Pivotal Role of Lagged Market Capitalization and Volatility," Forecasting, MDPI, volume 7, issue 4, pages 1-47, November.
• Said Magomedov & Dean Fantazzini, 2025, "Modeling and Forecasting the Probability of Crypto-Exchange Closures: A Forecast Combination Approach," JRFM, MDPI, volume 18, issue 2, pages 1-20, January.
• Soraia Santos & Helder Sebastião & Nuno Silva, 2025, "Bitcoin and Main Altcoins: Causality and Trading Strategies," Notas Económicas, Faculty of Economics, University of Coimbra, issue 59, pages 7-33, July, DOI: 10.14195/2183-203X_59_1.
• Matteo Orlandini & Sebastiano Michele Zema & Mauro Napoletano & Giorgio Fagiolo, 2025, "A Network Approach to Volatility Diffusion and Forecasting in Global Financial Markets," GREDEG Working Papers, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, number 2025-19, May.
• Veronika Czellar & René Garcia & François Le Grand, 2025, "Uncovering asset market participation from household consumption and income," Post-Print, HAL, number hal-04977635, Mar, DOI: 10.1016/j.jeconom.2024.105867.
• Te Bao & Brice Corgnet & Nobuyuki Hanaki & Katsuhiko Okada & Yohanes E. Riyanto & Jiahua Zhu, 2025, "Financial forecasting in the lab and the field : Qualified professionals vs. smart students," Post-Print, HAL, number hal-05053019, Jun, DOI: 10.1016/j.jbef.2025.101051.
• Christos Alexakis & Periklis Gogas & Giovanni Petrella & Michael Polemis & Federica Salvadè, 2025, "Investigating the investment readiness of European SMEs: A machine learning approach," Post-Print, HAL, number hal-05148711, Sep, DOI: 10.1016/j.irfa.2025.104439.
• Hamza Taghzouti & Aziz Babounia & Abdellatif Taghzouti & Acharf El Idrissi, 2025, "The impact of decision-making autonomy on subsidiary performanceinhypo-groups:cross-insightsfromsocio-emotional selectivity and decision-making dynamics
  [L'impact de l'autonomie décisionnelle sur la performance des filiales des hypo-groupes : Écla," Post-Print, HAL, number hal-05419944, Dec, DOI: 10.5281/zenodo.17870158.
• Sami Ben Jabeur & Yassine Bakkar & Oguzhan Cepni, 2025, "Do global COVOL and geopolitical risks affect clean energy prices? Evidence from explainable artificial intelligence models," Post-Print, HAL, number hal-05451353, Jan, DOI: 10.1016/j.eneco.2024.108112.
• Manaf Ahmed & Said Khalil, 2025, "Sectoral Volatility under Political Uncertainty: An Extended GARCH-X Modeling Framework," Working Papers, HAL, number hal-05087376, May.
• MINAMI, Koutaroh, 2025, "Detecting Bubbles by Machine Learning Prediction," Working Paper Series, Hitotsubashi University Center for Financial Research, number G-1-30, Jun.
• Angel Samaniego Alcántar, 2025, "Portfolio Optimization with Long-Short Term Memory Deep Learning (LSTM)," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 20, issue 2, pages 1-14, Abril - J.
• Francisco Vargas Serrano & José Arturo Montoya & José del Carmen Jiménez Hernández, 2025, "Selección de cartera: un enfoque de sesgos de comportamiento," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 20, issue 2, pages 1-21, Abril - J.
• Eeckhout, Tom & Natkhov, Timur & Polishchuk, Leonid & Schoors, Koen, 2025, "Streetlight Effect in Corruption Measurement: Theory and Application to Russian Traffic Police," CAEPR Working Papers, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, number 2025-004, Sep.
• Maria Teresa Medeiros Garcia & Carolina e Silva Correia de Carvalho, 2025, "Measuring Sentiment: The Impact on Financial Markets Volatility," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2025/0365, Jan.
• Elyas Elyasiani & Luca Gambarelli & Silvia Muzzioli, 2025, "Risk-asymmetry indices in Europe," Annals of Finance, Springer, volume 21, issue 3, pages 283-316, September, DOI: 10.1007/s10436-025-00467-8.
• Satrajit Mandal & Sujoy Bhattacharya, 2025, "A Fuzzy Jump-Diffusion Option Pricing Model Based on the Merton Formula," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, volume 32, issue 2, pages 357-380, June, DOI: 10.1007/s10690-024-09456-9.
• Khalid Ul Islam & Umer Mushtaq Lone & Younis Ahmed Gulam & Suhail Ahmad Bhat, 2025, "Dynamic Linkages and Temporal Relationships Between Spot and Future Index Prices: Empirical Evidence from India Using Non-linear GARCH–BEKK," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, volume 32, issue 2, pages 609-630, June, DOI: 10.1007/s10690-024-09464-9.
• Pradeep Kumar Behera & Naresh Chandra Sahu & Abhisek Mahanta, 2025, "Volatility Spillover and Connectedness Between SME and Main Markets of India and China," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, volume 32, issue 4, pages 1407-1429, December, DOI: 10.1007/s10690-024-09492-5.
• Ana Sofia Monteiro & Helder Sebastião & Nuno Silva, 2025, "Prediction and Allocation of Stocks, Bonds, and REITs in the US Market," Computational Economics, Springer;Society for Computational Economics, volume 65, issue 3, pages 1191-1230, March, DOI: 10.1007/s10614-024-10589-2.
• Bhaskar Tripathi & Rakesh Kumar Sharma, 2025, "Cryptocurrency Exchanges and Traditional Markets: A Multi-algorithm Liquidity Comparison Using Multi-criteria Decision Analysis," Computational Economics, Springer;Society for Computational Economics, volume 65, issue 5, pages 2649-2677, May, DOI: 10.1007/s10614-024-10655-9.
• Minh Vo, 2025, "Measuring and Forecasting Stock Market Volatilities with High-Frequency Data," Computational Economics, Springer;Society for Computational Economics, volume 65, issue 6, pages 3503-3544, June, DOI: 10.1007/s10614-024-10674-6.
• Mónica Andrea Arauco Ballesteros & Elio Agustín Martínez Miranda, 2025, "Stock Market Forecasting Using a Neural Network Through Fundamental Indicators, Technical Indicators and Market Sentiment Analysis," Computational Economics, Springer;Society for Computational Economics, volume 66, issue 2, pages 1715-1745, August, DOI: 10.1007/s10614-024-10711-4.
• Yuetong Zhang & Ying Peng & Yuping Song, 2025, "Realized Volatility Forecasting for Stocks and Futures Indices with Rolling CEEMDAN and Machine Learning Models," Computational Economics, Springer;Society for Computational Economics, volume 66, issue 2, pages 1215-1268, August, DOI: 10.1007/s10614-024-10732-z.
• François Benhmad & Mohamed Chikhi, 2025, "The Asymmetric Effect of COVID-19 Pandemic on the US Market Risk Premium: Evidence from AEGAS-M Model," Computational Economics, Springer;Society for Computational Economics, volume 66, issue 2, pages 1691-1713, August, DOI: 10.1007/s10614-024-10745-8.
• Edson Pindza & Jules Clement & Sutene Mwambi & Nneka Umeorah, 2025, "Neural Network for Valuing Bitcoin Options Under Jump-Diffusion and Market Sentiment Model," Computational Economics, Springer;Society for Computational Economics, volume 66, issue 3, pages 2305-2342, September, DOI: 10.1007/s10614-024-10792-1.
• Andrés Alonso-Robisco & José Manuel Carbó, 2025, "Should We Trust the Credit Decisions Provided by Machine Learning Models?," Computational Economics, Springer;Society for Computational Economics, volume 66, issue 5, pages 4245-4274, November, DOI: 10.1007/s10614-025-10855-x.
• Yingdong Wang & Wenzhi Xi, 2025, "Measurement and Early Warning of Systemic Financial Risk in China: Markov Switching Models," Computational Economics, Springer;Society for Computational Economics, volume 66, issue 6, pages 5083-5111, December, DOI: 10.1007/s10614-025-10873-9.
• Sascha Wilkens, 2025, "Pairs trading in the German stock market: is there still life in the old dog?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 39, issue 2, pages 259-297, June, DOI: 10.1007/s11408-025-00467-8.
• Yongdeng Xu, 2025, "The exponential HEAVY model: an improved approach to volatility modeling and forecasting," Review of Quantitative Finance and Accounting, Springer, volume 65, issue 2, pages 727-748, August, DOI: 10.1007/s11156-024-01358-1.
• Timothy King & Dimitrios Koutmos, 2025, "ESG crypto coins: speculative assets, or, the future of green money?," Review of Quantitative Finance and Accounting, Springer, volume 65, issue 2, pages 777-816, August, DOI: 10.1007/s11156-024-01360-7.
• Aiyang Yin & Liang Han & Yun Shen, 2025, "Unravelling the enigma: managerial bad news hoarding and financial analyst forecasts," Review of Quantitative Finance and Accounting, Springer, volume 65, issue 3, pages 1097-1134, October, DOI: 10.1007/s11156-024-01370-5.
• Tomasz P. Kostyra, 2025, "Predictive power of the sentiment of the Monetary Policy Council," Bank i Kredyt, Narodowy Bank Polski, volume 56, issue 5, pages 543-556.
• Bryan T. Kelly & Boris Kuznetsov & Semyon Malamud & Teng Andrea Xu, 2025, "Artificial Intelligence Asset Pricing Models," NBER Working Papers, National Bureau of Economic Research, Inc, number 33351, Jan.
• Stefan Nagel, 2025, "Seemingly Virtuous Complexity in Return Prediction," NBER Working Papers, National Bureau of Economic Research, Inc, number 34104, Aug.
• William N. Goetzmann & Akiko Watanabe & Masahiro Watanabe, 2025, "GDP Growth Expectations and Cash-flow Risk Premium," NBER Working Papers, National Bureau of Economic Research, Inc, number 34402, Oct.
• Francesco Bianchi & Do Q. Lee & Sydney C. Ludvigson & Sai Ma, 2025, "The Prestakes of Stock Market Investing," NBER Working Papers, National Bureau of Economic Research, Inc, number 34420, Oct.
• Laurențiu DROJ & Doroteea Andreea SURLEA & Bogdan Cosmin MOLDOVAN & Alexandru-Daniel MADA, 2025, "Analysis Of The Financial Performance Of The Companies Operating In The Software Industry Located In Romania, Hungary And Czech Republic In The Period Of 2019-2023," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, volume 34, issue 1, pages 252-262, July.
• Doroteea Andreea SURLEA, 2025, "From Intuition To Algorithms: The Transformation Of Decision- Making Through Intelligent Data Technologies – A Bibliometric Study (2019-2024)," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, volume 34, issue 2, pages 292-300, December.
• Liliana ANGHEL, 2025, "Using Artificial Intelligence In The Financial Planning Mechanism," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, volume 34, issue 2, pages 506-512, December.
• Anne Opschoor & André Lucas & Luca Rossini, 2025, "The Conditional Autoregressive F-Riesz Model for Realized Covariance Matrices," Journal of Financial Econometrics, Oxford University Press, volume 23, issue 2, pages 177-190.
• Chao Zhang & Xingyue Pu & Mihai Cucuringu & Xiaowen Dong, 2025, "Graph-Based Methods for Forecasting Realized Covariances," Journal of Financial Econometrics, Oxford University Press, volume 23, issue 2, pages 1977-2016.
• Álvaro Cartea & Samuel N Cohen & Robert Graumans & Saad Labyad & Leandro Sánchez-Betancourt & Leon van Veldhuijzen, 2025, "Statistical Predictions of Trading Strategies in Electronic Markets," Journal of Financial Econometrics, Oxford University Press, volume 23, issue 2, pages 31-53.
• Matei Demetrescu & Benjamin Hillmann, 2025, "Gaussian Inference in Predictive Regressions for Stock Returns," Journal of Financial Econometrics, Oxford University Press, volume 23, issue 2, pages 813-841.
• Matthias R Fengler & Jeannine Polivka, 2025, "Structural Volatility Impulse Response Analysis," Journal of Financial Econometrics, Oxford University Press, volume 23, issue 2, pages 951-971.
• Meng Han & Lammertjan Dam & Walter Pohl, 2025, "What drives commodity price variation?," Review of Finance, European Finance Association, volume 29, issue 2, pages 315-347.
• David Hirshleifer & Dat Mai & Kuntara Pukthuanthong, 2025, "War Discourse and Disaster Premium: 160 Years of Evidence from the Stock Market," The Review of Financial Studies, Society for Financial Studies, volume 38, issue 2, pages 457-506.
• Mahtab Athari & Atsuyuki Naka & Abdullah Noman, 2025, "Forecasting stock returns with sum-of-the-parts methodology: international evidence," Journal of Asset Management, Palgrave Macmillan, volume 26, issue 1, pages 91-114, February, DOI: 10.1057/s41260-024-00380-1.
• Mario Bajo Traver, 2025, "Enhancing diversification in fixed-income portfolios: an entropy-based optimization framework," Journal of Asset Management, Palgrave Macmillan, volume 26, issue 7, pages 863-882, December, DOI: 10.1057/s41260-025-00428-w.
• Ulrich Krüger & Christoph Roling & Leonid Silbermann & Lui-Hsian Wong, 2025, "Bank’s strategic interaction, adverse price dynamics and systemic liquidity risk," Journal of Banking Regulation, Palgrave Macmillan, volume 26, issue 1, pages 1-24, March, DOI: 10.1057/s41261-024-00240-3.
• Thiasha Naidoo & Peter Moores-Pitt & Paul-Francois Muzindutsi & Kazeem O Isah, 2025, "Analysing investor sentiment and stock market volatility of the JSE size-based indices: a GARCH-MIDAS approach," Risk Management, Palgrave Macmillan, volume 27, issue 3, pages 1-23, September, DOI: 10.1057/s41283-025-00165-9.
• Nico Knuth & Andreas Nastansky, 2025, "Anwendung von Deep Learning in der Prognose der Volatilität des DAX: Ein Vergleich der Prognosegüte von GARCH und LSTM," Statistische Diskussionsbeiträge, Universität Potsdam, Wirtschafts- und Sozialwissenschaftliche Fakultät, number 59, Mar, DOI: 10.25932/publishup-67486.
• Li, Chenxing & Yang, Qiao, 2025, "An Infinite Hidden Markov Model with GARCH for Short-Term Interest Rates," MPRA Paper, University Library of Munich, Germany, number 123200, Jan.
• Magomedov, Said & Fantazzini, Dean, 2025, "Modeling and Forecasting the Probability of Crypto-Exchange Closures: A Forecast Combination Approach," MPRA Paper, University Library of Munich, Germany, number 123416.
• Ojo, Marianne, 2025, "Strategic crypto reserves: A new era for crypto currency regulation and central bank digital currencies?," MPRA Paper, University Library of Munich, Germany, number 123994, Feb, revised Feb 2025.
• Ojo, Marianne & Serrano Caballero, Enriqueta & Joshi, Amol & Lahiri, Nandini & Hemmatian, Iman, 2025, "Trade negotiations and global relations : emerging players and actors," MPRA Paper, University Library of Munich, Germany, number 124064, Feb, revised Mar 2025.
• Ojo, Marianne, 2025, "Financial regulation and risk management: addressing risk challenges in a changing financial environment," MPRA Paper, University Library of Munich, Germany, number 124358, Apr, revised Jun 2025.
• Olkhov, Victor, 2025, "Markowitz Variance May Vastly Undervalue or Overestimate Portfolio Variance and Risks," MPRA Paper, University Library of Munich, Germany, number 125508, Jul.
• Lee, David, 2025, "Robust Parameter Estimation for Financial Data Simulation," MPRA Paper, University Library of Munich, Germany, number 125703, Aug.
• Vaish, Chakit, 2025, "Praxis Core: A Multi-Layered Structural Intelligence Engine for Foreign Exchange Execution Under Entropic Regime Shifts," MPRA Paper, University Library of Munich, Germany, number 125718, revised 2025.
• Mir, Zulfiqar Ali, 2025, "Penalized regression methods for exchange rate forecasting: evidence from the U.S. dollar index," MPRA Paper, University Library of Munich, Germany, number 125996, Sep.
• Olkhov, Victor, 2025, "Market-based variance of market portfolio and of entire market," MPRA Paper, University Library of Munich, Germany, number 126487, Oct.
• Rubenstein, Elias, 2025, "Safe-Haven Currency and Sequence Risk: A State-Dependent Swiss Franc Overlay for Global Portfolios," MPRA Paper, University Library of Munich, Germany, number 126680, Nov.
• Fantazzini, Dean, 2025, "Detecting Stablecoin Failure with Simple Thresholds and Panel Binary Models: The Pivotal Role of Lagged Market Capitalization and Volatility," MPRA Paper, University Library of Munich, Germany, number 126906, Nov.
• Chenarani, Hasan & Roudari, Soheil, 2025, "اولویت بندی واگذاری بنگاه¬های اقتصادی زیر مجموعه صندوق¬های بازنشستگی با تاکید بر مدیریت سرمایه¬گذاری: شواهدی جدید از رویکرد DCC-GARCH R2 decomposed connectedness
  [Prioritizing the Divestment of Pension Fund-Owned Enterprises with an Emphasis on In," MPRA Paper, University Library of Munich, Germany, number 126973, Aug, revised 14 Oct 2025.
• Osadchiy, Maksim, 2025, "Modeling Loss Risk in Loan Portfolios with Various Heterogeneity Factors," MPRA Paper, University Library of Munich, Germany, number 127032, Nov.
• Bell, Peter, 2025, "Method for Comparing Economic Impacts Caused by Government Actions on Natural Resource Extraction in Logging, Oil and Gas, and Mining," MPRA Paper, University Library of Munich, Germany, number 127298, Dec.
• Bell, Peter, 2025, "Strategic Planning for Permitting at Abandoned Mine Tailings," MPRA Paper, University Library of Munich, Germany, number 127460, Dec.
• Bell, Peter, 2025, "Review of Methods for Exploratory Data Analysis for Copper Prices 1960-2020," MPRA Paper, University Library of Munich, Germany, number 127683, Jan.
• Mawuli Segnon & Bjorn Schulte-Tillmann & Riza Demirer & Rangan Gupta, 2025, "Deglobalization and Foreign Exchange Volatility: The Role of Supply Chain Pressures," Working Papers, University of Pretoria, Department of Economics, number 202506, Feb.
• Vasilios Plakandaras & Rangan Gupta & Qiang Ji, 2025, "Unraveling Financial Fragility of Global Markets Using Machine Learning," Working Papers, University of Pretoria, Department of Economics, number 202511, Mar.
• Vasilios Plakandaras & Matteo Bonato & Rangan Gupta & Oguzhan Cepni, 2025, "Machine Learning and the Forecastability of Cross-Sectional Realized Variance: The Role of Realized Moments," Working Papers, University of Pretoria, Department of Economics, number 202518, Apr.
• Elie Bouri & Oguzhan Cepni & Rangan Gupta & Sibanjan Mishra & Muhammed Enes Olgun, 2025, "Dynamic Return Connectedness Among Crypto-Mining Technology Firms and Major Cryptocurrencies: The Role of Sentiment Indices," Working Papers, University of Pretoria, Department of Economics, number 202533, Sep.
• Giovanni Bonaccolto & Sayar Karmakar & Elie Bouri & Rangan Gupta, 2025, "Spillover and Predictability of Volatility of 50 Major Cryptocurrencies: Evidence from a LASSO-Regularized Quantile VAR," Working Papers, University of Pretoria, Department of Economics, number 202538, Sep.
• Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2025, "Electricity Sales and Forecasting of Stock Market Realized Volatility: A State-Level Analysis of the United States," Working Papers, University of Pretoria, Department of Economics, number 202540, Nov.
• Onur Polat & Elie Bouri & Rangan Gupta & Riza Demirer, 2025, "Predicting Safe Haven Assets through Implied Treasury Yield Skewness: A Time-Varying Nonparametric Quantile Causality Analysis," Working Papers, University of Pretoria, Department of Economics, number 202544, Dec.
• Manuel Rosinus, 2025, "Comparison of Classical Arima Forecasting Methods to the Machine Learning LSTM Method: a Case Study on DAX® 50 ESG Index," ACTA VSFS, University of Finance and Administration, volume 19, issue 1, pages 32-52.
• Sebastian Fossati & Xiao Li, 2025, "Exchange Rate Predictability and Financial Conditions," Working Papers, University of Alberta, Department of Economics, number 2025-06, Sep.
• Rebecca A. Ranucci, 2025, "Shifts in the Information Interface Between Managers and Analysts," American Business Review, Pompea College of Business, University of New Haven, volume 28, issue 1, pages 286-302.
• Dean Fantazzini & Elena Korobova, 2025, "Stablecoins and credit risk: when do they stop being stable?," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 77, pages 46-73.
• Maksim Teterin & Anatoly Peresetsky, 2025, "Can Ethereum predict Bitcoin’s volatility?," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 77, pages 74-90.
• Yunus Emre Korkmaz & Serpil Altınırmak & Çağlar Karamaşa, 2025, "Makine Öğrenmesi Yöntemleri ile Kripto Varlık Fiyat Tahmini ve En İyi Yöntemin ÇKKV Teknikleri ile Belirlenmesi
  [Cryptocurrency Price Prediction Using Machine Learning Methods and Determining the Best Method Using MCDM Techniques]," Business and Economics Research Journal, Bursa Uludag University, Faculty of Economics and Administrative Sciences, volume 16, issue 4, pages 463-492, October, DOI: 10.20409/berj.2025.477.
• Magdalena Petrovska & Artan Sulejmani & Elena Mucheva Mihajlovska, 2025, "Credit-To-Gdp Gap Computation Under Multivariate Hp Filter Methodology: The Case Of North Macedonia," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, volume 16, issue 2, pages 142-162, December.
• Anna Gawel & Janusz Kudla, 2025, "Volatility of the USD/CHF exchange rate at the beginning of the COVID-19 pandemic," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, volume 2, issue 24, pages 42-59, DOI: 10.7172/2353-6845.jbfe.2025.2.3.
• Mohammad Zoynul Abedin & Mahmudul Hasan Moon & M. Kabir Hassan & Petr Hajek, 2025, "Deep learning-based exchange rate prediction during the COVID-19 pandemic," Annals of Operations Research, Springer, volume 345, issue 2, pages 1335-1386, February, DOI: 10.1007/s10479-021-04420-6.
• Jean-Michel Sahut & Petr Hajek & Vladimir Olej & Lubica Hikkerova, 2025, "The role of news-based sentiment in forecasting crude oil price during the Covid-19 pandemic," Annals of Operations Research, Springer, volume 345, issue 2, pages 861-884, February, DOI: 10.1007/s10479-024-05821-z.
• Muhammad Tahir Suleman & Umaid A Sheikh & Emilios C. Galariotis & David Roubaud, 2025, "The impact of bitcoin fear and greed on good and bad network connectedness: the case of the US sectoral high frequency returns," Annals of Operations Research, Springer, volume 347, issue 1, pages 633-677, April, DOI: 10.1007/s10479-023-05455-7.
• Xiafei Li & Chao Liang & Feng Ma, 2025, "Forecasting stock market volatility with a large number of predictors: New evidence from the MS-MIDAS-LASSO model," Annals of Operations Research, Springer, volume 352, issue 3, pages 613-652, September, DOI: 10.1007/s10479-022-04716-1.
• Tamara Teplova & Maksim Fayzulin, 2025, "Decoding Russian stock market trends through ensemble methods and sentiment analysis of social media," Annals of Operations Research, Springer, volume 353, issue 3, pages 1123-1172, October, DOI: 10.1007/s10479-025-06683-9.
• Tamara Teplova & Aleksei Kurkin & Valeriia Baklanova, 2025, "Investor sentiment and the NFT market: prediction and interpretation of daily NFT sales volume," Annals of Operations Research, Springer, volume 354, issue 1, pages 341-365, November, DOI: 10.1007/s10479-023-05693-9.
• Anupam Dutta, 2025, "Assessing the Risk of Bitcoin Futures Market: New Evidence," Annals of Data Science, Springer, volume 12, issue 2, pages 481-497, April, DOI: 10.1007/s40745-024-00517-4.
• Mirzat Ullah, 2025, "Risk and return analysis between digital and conventional financial assets in a turbulent geopolitical environment," Digital Finance, Springer, volume 7, issue 3, pages 479-505, September, DOI: 10.1007/s42521-025-00147-2.
• Ameer Tamoor Khan & Shuai Li & Xinwei Cao, 2025, "Bridging finance and AI: a comprehensive survey of large language models in financial system," Digital Finance, Springer, volume 7, issue 4, pages 679-701, December, DOI: 10.1007/s42521-025-00146-3.