Accepted Papers

Long Presentation
  • An Analysis of Arbitrage between Markets with Different Contract Sizes Using an Agent-Based Model
    Yoshito Noritake (Sumitomo Mitsui DS Asset Management Company, Limited); Isao Yagi (Faculty of Informatics, Kogakuin University); Takanobu Mizuta (SPARX Asset Management Co., Ltd.)
  • Discovering Spatially-Structured Causal Pathways from Climate Exposure to Mortgage Default
    Mujahid Merchant (University Of Mumbai)
  • Uncertainty-Aware Consumer Credit Scoring via Split Conformal Prediction: Statistical Coverage Guarantees Under Distribution Shift
    Yashas B R (RV University); Vedanth C Y (RV University); Sarasvathi V (RV University)
  • Constraint-Guaranteed Synthesis of OHLCV Data
    Homayounfar Kambiz (Nippotica Corporation); Mario Luoni (Nippotica Corporation)
  • Volatility-Consistent Reward Shaping for Deep Reinforcement Learning Market Makers
    Chun Ming Zeng (暨南大学)
  • Realistic Market Impact Modeling for Reinforcement Learning Trading Environments
    Lucas Riera Abbade (USP); Anna Henela Reali Costa (USP)
  • Marking-Aware Sequential VaR Recalibration for Standardized Option Books
    Tenghan Zhong (University of Southern California); Keyuan Wu (University of Southern California)
  • Multimodal Fusion of Financial Text and Time Series Based on Contrastive Learning for Price Prediction
    Ryoya Yoshida (Preferred Networks, Inc.); Ryota Ozaki (Preferred Networks, Inc.); Kentaro Imajo (Preferred Networks, Inc.); Masanori Hirano (Preferred Networks, Inc.)
  • Financially Guided Deep Portfolio Optimization
    Rahul Fernandes (Rochester Institute of Technology); Travis Desell (Rochester Institute of Technology)
  • Time-Wise Feature Importance in Corporate Credit Rating Classification with Transformer-Based Sequence Models
    Mikio Kofune (Heisei International University); Suguru YAMANAKA (Aoyama Gakuin University)
  • From Detection to Diagnosis: Interpretable Mechanism-Aware Anomaly Detection in Financial Networks
    Zan Li (Rensselaer Polytechnic Institute); Rui Fan (Rensselaer Polytechnic Institute)
  • Observation-Anchored Arbitrage Repair for Sparse Implied Volatility Surface Completion
    Yilin Xiong (Wuhan University of Technology); Bofan Liu (Wuhan University of Technology)
  • Rolling Legendre-Fenchel Rate Functions as Crypto Fragility Diagnostics
    Lucas de Souza (Universidade Federal de Goiás); João Paulo Chidiac (Universidade Federal de Goiás)
  • Public XBRL Disaggregation and Operating Cash-Flow Forecasts: Evidence from Leakage-Safe Forecast Tests
    Lars Fluri (University of Basel)
  • Large Language Quant: Cross-Domain Mathematical Trading Strategy Generation with an Agentic LLM
    Andrew Clayman (Wyser); Michael Kampouridis (University of Essex); Tasos Papastylianou (University of Essex)
  • Regime-Switching Finance-SINDy: Data-Driven Discovery of Sparse Governing Equations Across Market Regimes
    Nitya Hapani (The Galaxy School)
  • IDV: Customer-Context-Aware Multi-Engine Architecture for AI-Agent Intent Drift Detection in Finance
    Yan Xue (Instinctive Network); Mulan Zhou (Instinctive Network)
  • Prices, Probabilities, and Parlays: Systematic Bias in Sports Prediction Markets
    Niusha Moshrefi (Princeton University)
  • Basis Mean-Reverting Basket: A Unified Formulation of Index Tracking and Mean-Reverting Portfolio for Index Arbitrage
    Katsuma Hirohashi (The University of Tokyo); Kenji Kubo (The University of Tokyo / Matsuo Institute, Inc.); Kei Nakagawa (Osaka Metropolitan University)
  • Event-Driven Pro-Rata Market Making with Semi-Markov Bellman Control
    Bawar Fareek Shekh (KTH Royal Institute of Technology)
Short Presentation
  • ORCA — Online Regime Correlation Analyzer
    Boris Kriuk (HKUST); Fedor Kriuk (UTS)
  • Causal Machine Learning for Climate-Adjusted Mortgage Default Risk: Heterogeneous Treatment Effects of Federally Declared Disasters
    Mujahid Merchant (University Of Mumbai)
  • Volatility Clustering-Inspired Multiscale Features for Long-Term Carbon Price Forecasting
    Chen-Fan Lee (National Tsing Hua University); Yu-Ching Wang (National Tsing Hua University); Yu-Hsun Lin (National Tsing Hua University)
  • Large Language Model Context Modulated Policy Optimization for Financial Portfolio Allocation
    Kemal Kirtac (University College London)
  • When Nikkei Leads: Transfer Entropy Evidence of Persistent Japan-to-U.S. Equity Information Flow
    Homayounfar Kambiz (Nippotica Corporation); Daijiro Nishi (Nippotica Corporation)
  • Learning to Trust Investment Rules: Holland's Bucket Brigade for Credit Assignment in a Production Rule Advisory System
    Jae Oh (Syracuse University)
  • Backtest Lie Detector: Benchmarking Large Language Models as Point-in-Time Auditors for Financial Research Workflows
    Mohit Apte (University of Chicago)
  • Do LLM Trading Agents Herd? A Market Microstructure Stress Test
    Mohit Apte (University of Chicago)
  • Regime-Conditioned Directional Prediction of the S&P 500 Index Using Dealer Greek Exposure
    Narayanan Doraiswamy (Self)
  • Trading Volume and Exogenous Intensity Around Stock-Price Trend Reversals in the Tokyo Stock Exchange
    Minoru Sudo (Rikkyo University); Takaaki Ohnishi (Rikkyo University)
  • Integrated Heteroskedastic Nonlinear Vector Autoregression
    Raul Jarod Conanan (Ateneo de Manila University); John Paul Vergara (Ateneo de Manila University)
  • Generating Synthetic Stock Return Distributions with Diffusion Models
    Haorong Qiu (Sumitomo Mitsui Trust Bank, Limited); Yosuke Fukunishi (Graduate School of Economics, University of Tokyo); Akihiko Takahashi (School of Interdisciplinary Mathematical Sciences/Graduate School of Advanced Mathematical Sciences, Meiji University)
  • Anchor-and-Verify LLM Cascades for Economic Measurement of Data-Intensive Work from Online Job Postings
    Giyong Kim (Bank of Korea); Sojung Kim (Bank of Korea)
  • Local Approximation of Systemic Risk in Large Sparse Economic Networks
    Zhecheng Wu (University of Florida); Hamed Amini (University of Florida)
  • When LLM-Augmented Portfolio Agents Hurt: A Rigorous Benchmark and a Negative Empirical Finding
    Rajiv Chaitanya Muttur (Dayananda Sagar College of Engineering)
  • Regime Structure in Adaptive Tariff Conflicts: A Multi-Agent Reinforcement Learning Analysis
    Nikhil Muthukumar (Aspiring Scholars Directed Research Program, Fremont, CA); Phil Mui (Aspiring Scholars Directed Research Program, Fremont, CA); Micah Chiang (Aspiring Scholars Directed Research Program, Fremont, CA); Jeffrey Chen (Aspiring Scholars Directed Research Program, Fremont, CA)
  • Semantic Diffusion of Sustainability Disclosure Templates in Japanese Annual Securities Reports
    Eiji Sakihama (Meiji University)
  • Conformal Prediction for Ordinal Credit Scoring
    Ayumi Kawasumi (Mizuho-DL Financial Technology Co., Ltd.); Masahiro Kato (The University of Tokyo); Lei Duan (Mizuho-DL Financial Technology Co., Ltd.)
  • Master Modeler: Learning Institutional Portfolio Construction with Large Language Models
    Yuxiang Cheng (University of Nottingham Ningbo China); Nanjiang Du (University of Nottingham Ningbo China); Qida Mou (University of Nottingham Ningbo China); Yida Zhao (University of Nottingham); Tianxiang Cui (University of Nottingham Ningbo China)
  • Surface-as-Image: Predicting Next-Day Intraday Tail Risk in Chinese Crude-Oil Futures
    TengLong Wang (Beijing Institute of Technology); Meng Rao (Beijing Institute of Technology)
  • Regime-Adaptive Spiking Neural Gating for High-Frequency Crude Oil Futures Signal Generation
    Meng Rao (Beijing Institute of Technology); TengLong Wang (Beijing Institute of Technology); XiaoYang Zhuo (Beijing Institute of Technology); Rui Zhang (Beijing Institute of Technology)
  • Revisiting Dynamical System-Based Financial Forecasting: The Role of Smoothing Methods
    Tsung-Jui Chiang Lin (Feng Chia University); Yong-Shiuan Lee (Feng Chia University); Tzong-Hann Shieh (Feng Chia University)
  • Generative Scenario Augmentation for CVaR-Optimised Multi-Asset Risk-Factor Exposures: A Walk-Forward Evaluation
    Yaser Kord (Freiburg University); Andre Santos (Lloyds Bank); Nicola Cantarutti (University of Udine)
  • Distribution-Aware Graph Reinforcement Learning for Identifying Currency Arbitrage Cycles
    Valentino Moreign (The Hong Kong University of Science and Technology); Mansun Chan (The Hong Kong University of Science and Technology)
  • Snippet-Driven Supply Chain Discovery with LLMs: Scaling Visibility in China
    Hiroto Fukada (SOKENDAI); Takayuki Mizuno (National Institute of Informatics)
  • Pseudocode as a Stored Strategy Representation for LLM-Based Artificial Market Simulation
    Ryoma Itakura (Hokkaido University); Masanori Hirano (Preferred Networks, Inc.); Kentaro Imajo (Preferred Networks, Inc.); Hiroki Sakaji (Hokkaido University); Itsuki Noda (Hokkaido University)
  • Enhancing Japanese Causal Expression Extraction through Rule-Based Instruction Prompting
    Takuma Tsuji (Hokkaido University); Masanori Hirano (Preferred Networks Inc.); Kentaro Imajo (Preferred Networks Inc.); Hiroki Sakaji (Hokkaido University); Itsuki Noda (Hokkaido University)
  • Feedback Design for LLM-Based Automatic Improvement of Stock Investment Strategies
    Hirai Kawamura (Matsuo Institute, Inc.); Kenji Kubo (Matsuo Institute, Inc.); Kei Nakagawa (Matsuo Institute, Inc.)
  • Generating query-relevant business descriptions leveraging underrecognized businesses
    Yoshimasa Kobayashi (Seikei University); Hiroyuki Sakai (Seikei University); Kaito Takano (Nomura Asset Management Co., Ltd.); Kei Nishina (Seikei University)
  • Adaptive Meta-Learned Selection of Dimensionality Reduction and Feature Selection Pipelines for Financial Time Series Forecasting
    Muhammed Razi Yahya Ayar (Siemens Energy); Vlad Mihai Dragan (Siemens Energy); Dominik Schlueter (Siemens Energy)
  • Measurement Risk in LLM-Based Financial NLP: Rubric and Metric Sensitivity on JF-ICR
    Sidi Chang (Blossom AI Labs); Peiying Zhu (Blossom AI); Yuxiao Chen (Blossom AI); Rongdong Chai (Blossom AI)
  • Latent-Regime Bias Auditing for Volatility Forecasting
    Arthur Chagas (UFMG); Pedro Bento (UFMG); Yan Aquino (UFMG); Arthur Buzelin (UFMG); Wagner Meira Jr. (UFMG); Cristiano Arbex Valle (UFMG)
  • EvoMM: Quality-Diversity for Automated Market-Making Under Regime Uncertainty
    Jim O'Connor (Connecticut College); Muhammad Abdullah (Connecticut College); Sa'ada Maliha Umaima (Connecticut College); Gary Parker (Connecticut College)
  • Policy-Driven Agentic Frameworks for Financial AI: Lessons from Portfolio Construction and CVA Risk Management
    Giuliano Lorenzoni (University of Waterloo); Paulo Alencar (University of Waterloo); Donald Cowan (University of Waterloo)
  • LLM-Structured Business Risk Disclosures from Japanese Annual Securities Reports for Long-Horizon Equity Risk Forecasting
    Nobushige Doi (The University of Tokyo)
  • Improving AC-CTGAN Undersampling for Imbalanced Bankruptcy Prediction
    Soya Sugizaki (Aoyama Gakuin University)
  • Cross-Market Tail Risk Estimation using Adaptive Quantile Ensembles, FinLLM Sentiment Fusion, and Conformal Calibration
    Ishaan Saxena (Rajiv Gandhi Institute Of Petroleum Technology); Chinmay Bhardwaj (Rajiv Gandhi Institute Of Petroleum Technology); Manoj Rajpoot (Rajiv Gandhi Institute Of Petroleum Technology)
  • MAGE: MAP-Elites for Alpha Generation
    Jim O'Connor (Connecticut College); Mitch Mullinax (George Mason University); Melanie Fernández (Connecticut College)
  • Improving Segment-Level Sentiment Analysis of Analyst Reports Using Expanded Business-Segment-Related Terms
    Tomoki Ito (NICT); Kenji Hiramatsu (IFIS Japan)
  • Accounting Behavior Similarity and Cross-Shareholding Formation: Evidence from Hypergraph Incidence Structures
    Haruki Harada (Osaka Metropolitan University)

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Important Dates (AoE)

Paper submission deadline is firm and has been finalized (no-extension).

  • Paper Submission: May 15, 2026
  • Notification: July 14, 2026
  • Camera Ready: August 14, 2026
  • Early Registration: August 1, 2026
  • Conference: September 10-11, 2026