Papers

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2026: Identifying Latent Intentions via Inverse Reinforcement Learning in Repeated Linear Public Good Games

Carina I. Hausladen, Marcel H. Schubert and Christoph Engel

2026: Feasibility-First Satellite Integration in Robust Portfolio Architectures

Roberto Garrone

2026: Destination Drone: A Comprehensive Analysis of Japanese Consumer Choice Behavior and Intentions for Drone Delivery Services

Ei Phyu Kyi, Tao Feng, Jieyuan Lan and Ying Liu

2026: Automatic debiased machine learning and sensitivity analysis for sample selection models

Jakob Bjelac, Victor Chernozhukov, Phil-Adrian Klotz, Jannis Kueck and Theresa M. A. Schmitz

2026: Cities at Play: Improving Equilibria in Urban Neighbourhood Games

Martin Gairing, Adrian Vetta and Zhanzhan Zhao

2026: Resisting Manipulative Bots in Memecoin Copy Trading: A Multi-Agent Approach with Chain-of-Thought Reasoning

Yichen Luo, Yebo Feng, Jiahua Xu and Yang Liu

2026: Systemic Risk Surveillance

Timo Dimitriadis and Yannick Hoga

2026: Regime Discovery and Intra-Regime Return Dynamics in Global Equity Markets

Salam Rabindrajit Luwang, Buddha Nath Sharma, Kundan Mukhia, Md. Nurujjaman, Anish Rai, Filippo Petroni and Luis E. C. Rocha

2026: Systemic Risk in DeFi: A Network-Based Fragility Analysis of TVL Dynamics

Shiyu Zhang, Zining Wang, Jin Zheng and John Cartlidge

2026: Impact of Tobacco Advertising Restrictions in Switzerland: A Quasi-Experimental Study on the Effect of Billboard Bans on Smoking

Andreas Stoller

2026: Estimating Treatment Effects in Panel Data Without Parallel Trends

Shoya Ishimaru

2026: A Blessing in Disguise: How DeFi Hacks Trigger Unintended Liquidity Injections into US Money Markets

Tingyi Lin

2026: Incorporating Cognitive Biases into Reinforcement Learning for Financial Decision-Making

Liu He

2026: Fake Date Tests: Can We Trust In-sample Accuracy of LLMs in Macroeconomic Forecasting?

Alexander Eliseev and Sergei Seleznev

2026: Optimal Option Portfolios for Student t Returns

Kyle Sung and Traian A. Pirvu

2026: Enhancing Portfolio Optimization with Deep Learning Insights

Brandon Luo and Jim Skufca

2026: Utility-Weighted Forecasting and Calibration for Risk-Adjusted Decisions under Trading Frictions

Craig S Wright

2026: Non-Convex Portfolio Optimization via Energy-Based Models: A Comparative Analysis Using the Thermodynamic HypergRaphical Model Library (THRML) for Index Tracking

Javier Mancilla, Theodoros D. Bouloumis and Frederic Goguikian

2026: Riesz Representer Fitting under Bregman Divergence: A Unified Framework for Debiased Machine Learning

Masahiro Kato

2026: Evaluating Impacts of Traffic Regulations in Complex Mobility Systems Using Scenario-Based Simulations

Arianna Burzacchi and Marco Pistore

2026: Modelling Distributional Impacts of Carbon Taxation: a Systematic Review and Meta-Analysis

Jules Linden, Cathal O'Donoghue and Denisa Sologon

2026: Physics-Informed Singular-Value Learning for Cross-Covariances Forecasting in Financial Markets

Efstratios Manolakis, Christian Bongiorno and Rosario Nunzio Mantegna

2026: Tab-TRM: Tiny Recursive Model for Insurance Pricing on Tabular Data

Kishan Padayachy, Ronald Richman and Mario V. W\"uthrich

2026: Crypto Pricing with Hidden Factors

Matthew Brigida

2026: Reinforcement Learning for Micro-Level Claims Reserving

Benjamin Avanzi, Ronald Richman, Bernard Wong, Mario W\"uthrich and Yagebu Xie

2026: Universal basic income in a financial equilibrium

Kim Weston

2026: Temporal-Aligned Meta-Learning for Risk Management: A Stacking Approach for Multi-Source Credit Scoring

O. Didkovskyi, A. Vidali, N. Jean and G. Le Pera

2026: A Model of Artificial Jagged Intelligence

Joshua Gans

2026: A Note on 'The Limits of Price Discrimination' by Bergemann, Brooks, and Morris

Keita Kuwahara

2026: Condorcet's Paradox as Non-Orientability

Ori Livson, Siddharth Pritam and Mikhail Prokopenko

2026: Coalition Tactics: Bribery and Control in Parliamentary Elections

Hodaya Barr, Eden Hartman, Yonatan Aumann and Sarit Kraus

2026: The Limits of Complexity: Why Feature Engineering Beats Deep Learning in Investor Flow Prediction

Sungwoo Kang

2026: Empirical Bayes Estimation in Heterogeneous Coefficient Panel Models

Myunghyun Song, Sokbae Lee and Serena Ng

2026: Sign Accuracy, Mean-Squared Error and the Rate of Zero Crossings: a Generalized Forecast Approach

Marc Wildi

2026: Emissions-Robust Portfolios

Khizar Qureshi and H. Oliver Gao

2026: Cross-Market Alpha: Testing Short-Term Trading Factors in the U.S. Market via Double-Selection LASSO

Jin Du, Alexander Walter and Maxim Ulrich

2026: Bounded Rationality with Subjective Evaluations in Enlivened but Truncated Decision Trees

Peter J. Hammond

2026: The Promise of Time-Series Foundation Models for Agricultural Forecasting: Evidence from Marketing Year Average Prices

Le Wang and Boyuan Zhang

2026: The Replicator-Optimization Mechanism: A Scale-Relative Formalism for Persistence-Conditioned Dynamics with Application to Consent-Based Metaethics

Murad Farzulla

2026: Long-Term Causal Inference with Many Noisy Proxies

Apoorva Lal, Guido Imbens and Peter Hull

2026: Resolving the automation paradox: falling labor share, rising wages

David Autor and B. N. Kausik

2026: A Three--Dimensional Efficient Surface for Portfolio Optimization

Yimeng Qiu

2026: Managing Situations of Complexity and Uncertainty: The Contribution of Research and Development

Brunet Luc E. and Longc\^ot\'e \'Eric

2026: DeePM: Regime-Robust Deep Learning for Systematic Macro Portfolio Management

Kieran Wood, Stephen J. Roberts and Stefan Zohren

2026: Game connectivity and adaptive dynamics in many-action games

Tom Johnston, Michael Savery, Alex Scott and Bassel Tarbush

2026: Geopolitical and Institutional Constraints on Adaptive Market Efficiency -- A Feasibility Diagnostic for Robust Portfolio Construction

Roberto Garrone

2026: Bayesian Persuasion with Selective Disclosure

Yifan Dai, Drew Fudenberg and Harry Pei

2026: Accounting for environmental awareness in wheat production through Life Cycle Assessment

Gianfranco Giulioni, Edmondo Di Giuseppe and Arianna Di Paola

2026: Learning and Testing Exposure Mappings of Interference using Graph Convolutional Autoencoder

Martin Huber, Jannis Kueck and Mara Mattes

2026: When the Rules Change: Adaptive Signal Extraction via Kalman Filtering and Markov-Switching Regimes

Sungwoo Kang

2026: Dynamic Mortality Forecasting via Mixed-Frequency State-Space Models

Runze Li, Rui Zhou and David Pitt

2026: Event Studies with Feedback

Irene Botosaru and Laura Liu

2026: How Carbon Border Adjustment Mechanism is Energizing the EU Carbon Market and Industrial Transformation

Joseph Nyangon and Brecht Seifi

2026: From Unstructured Data to Demand Counterfactuals: Theory and Practice

Timothy Christensen and Giovanni Compiani

2026: Multi-Period Martingale Optimal Transport: Classical Theory, Neural Acceleration, and Financial Applications

Sri Sairam Gautam B

2026: Stochastic Deep Learning: A Probabilistic Framework for Modeling Uncertainty in Structured Temporal Data

James Rice

2026: Confidence and Organizations

Andr\'es Espitia

2026: How Human is AI? Examining the Impact of Emotional Prompts on Artificial and Human and Responsiveness

Florence Bernays, Marco Henriques Pereira and Jochen Menges

2026: Trading Electrons: Predicting DART Spread Spikes in ISO Electricity Markets

Emma Hubert, Dimitrios Lolas and Ronnie Sircar

2026: Large language models can effectively convince people to believe conspiracies

Thomas H. Costello, Kellin Pelrine, Matthew Kowal, Antonio A. Arechar, Jean-Fran\c{c}ois Godbout, Adam Gleave, David Rand and Gordon Pennycook

2026: Optimally designing purpose and meaning at work

Antonio Cabrales and Esther Hauk

2026: Intraday Limit Order Price Change Transition Dynamics Across Market Capitalizations Through Markov Analysis

Salam Rabindrajit Luwang, Kundan Mukhia, Buddha Nath Sharma, Md. Nurujjaman, Anish Rai and Filippo Petroni

2026: When Sellers Are Uncertain about Quality

Keita Kuwahara

2026: Analytic Regularity and Approximation Limits of Coefficient-Constrained Shallow Networks

Jean-Gabriel Attali

2026: Uniqueness of invariant measures as a structural property of markov kernels

Jean-Gabriel Attali

2026: Deep Reinforcement Learning for Optimum Order Execution: Mitigating Risk and Maximizing Returns

Khabbab Zakaria, Jayapaulraj Jerinsh, Andreas Maier, Patrick Krauss, Stefano Pasquali and Dhagash Mehta

2026: Quantile Vector Autoregression without Crossing

Tomohiro Ando, Tadao Hoshino and Ruey Tsay

2026: Global Inequalities in Clinical Trials Participation

Wen Lou, Adri\'an A. D\'iaz-Faes, Jiangen He, Zhihao Liu and Vincent Larivi\`ere

2026: Forecasting the U.S. Treasury Yield Curve: A Distributionally Robust Machine Learning Approach

Jinjun Liu and Ming-Yen Cheng

2026: Forecasting Equity Correlations with Hybrid Transformer Graph Neural Network

Jack Fanshawe, Rumi Masih and Alexander Cameron

2026: Bimodal Bias against Chinese Scientists in the American Academy: Penalties for Men, Bonuses for Women

Gavin Cook

2026: Towards a Sociology of Sociology: Inequality, Elitism, and Prestige in the Sociological Enterprise From 1970 to the Present

Gavin Cook

2026: The Endogenous Grid Method for Epstein-Zin Preferences

Alan Lujan

2026: Technology Adoption and Network Externalities in Financial Systems: A Spatial-Network Approach

Tatsuru Kikuchi

2026: All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection

Yuechen Jiang, Zhiwei Liu, Yupeng Cao, Yueru He, Ziyang Xu, Chen Xu, Zhiyang Deng, Prayag Tiwari, Xi Chen, Alejandro Lopez-Lira, Jimin Huang, Junichi Tsujii and Sophia Ananiadou

2026: The geometric adjudication of water rights in international rivers

Ricardo Martinez and Juan Moreno-Ternero

2026: Ridge Estimation of High Dimensional Two-Way Fixed Effect Regression

Junnan He and Jean-Marc Robin

2026: Sharp Transitions and Systemic Risk in Sparse Financial Networks

Riley James Bendel

2026: Mean Square Errors of factors extracted using principal components, linear projections, and Kalman filter

Matteo Barigozzi, Diego Fresoli and Esther Ruiz

2026: Diversification Preferences and Risk Attitudes

Xiangxin He, Fangda Liu and Ruodu Wang

2026: Smart Predict--then--Optimize Paradigm for Portfolio Optimization in Real Markets

Wang Yi and Takashi Hasuike

2026: Quantum computing for multidimensional option pricing: End-to-end pipeline

Julien Hok and \'Alvaro Leitao

2026: Reverse Stress Testing Geopolitical Risk in Corporate Credit Portfolios: A Formal and Operational Framework

Christophe Hurlin, Quentin Lajaunie and Yoann Pull

2026: Class of topological portfolios: Are they better than classical portfolios?

Anubha Goel, Amita Sharma and Juho Kanniainen

2026: Trade-R1: Bridging Verifiable Rewards to Stochastic Environments via Process-Level Reasoning Verification

Rui Sun, Yifan Sun, Sheng Xu, Li Zhao, Jing Li, Daxin Jiang, Cheng Hua and Zuo Bai

2026: A comprehensive review and analysis of different modeling approaches for financial index tracking problem

Vrinda Dhingra, Amita Sharma and Anubha Goel

2026: Women Worry, Men Adopt: How Gendered Perceptions Shape the Use of Generative AI

Fabian Stephany and Jedrzej Duszynski

2026: From No-Regret to Strategically Robust Learning in Repeated Auctions

Junyao Zhao

2026: Optimal execution on Uniswap v2/v3 under transient price impact

Bastien Baude, Damien Challet and Ioane Muni Toke

2026: An Algorithmic Framework for Systematic Literature Reviews: A Case Study for Financial Narratives

Gabin Taibi and Joerg Osterrieder

2026: Multivariate kernel regression in vector and product metric spaces

Marcia Schafgans and Victoria Zinde-Walsh

2026: Uncovering Sparse Financial Networks with Information Criteria

Fu Ouyang, Thomas T. Yang and Wenying Yao

2026: Artificial Intelligence and Skills: Evidence from Contrastive Learning in Online Job Vacancies

Hangyu Chen, Yongming Sun and Yiming Yuan

2026: Governance of Technological Transition: A Predator-Prey Analysis of AI Capital in China's Economy and Its Policy Implications

Kunpeng Wang and Jiahui Hu

2026: Content vs. Form: What Drives the Writing Score Gap Across Socioeconomic Backgrounds? A Generated Panel Approach

Nadav Kunievsky and Pedro Pertusi

2026: Minimax regret treatment rules with finite samples when a quantile is the object of interest

Patrik Guggenberger, Nihal Mehta and Nikita Pavlov

2026: Trading with market resistance and concave price impact

Youssef Ouazzani Chahdi, Nathan De Carvalho and Gr\'egoire Szymanski

2026: Breaking the Dimensional Barrier: Dynamic Portfolio Choice with Parameter Uncertainty via Pontryagin Projection

Jeonggyu Huh and Hyeng Keun Koo

2026: Two-Step Regularized HARX to Measure Volatility Spillovers in Multi-Dimensional Systems

Mindy L. Mallory

2026: Time-Aware Synthetic Control

Saeyoung Rho, Cyrus Illick, Samhitha Narasipura, Alberto Abadie, Daniel Hsu and Vishal Misra

2026: Revealed Decision Rules in Choices Under Risk

Avner Seror

2026: Improving Financial Forecasting with a Synergistic LLM-Transformer Architecture: A Hybrid Approach to Stock Price Prediction

Sayed Akif Hussain, Chen Qiu-shi, Syed Amer Hussain, Syed Atif Hussain, Asma Komal and Muhammad Imran Khalid

2026: Uni-FinLLM: A Unified Multimodal Large Language Model with Modular Task Heads for Micro-Level Stock Prediction and Macro-Level Systemic Risk Assessment

Gongao Zhang, Haijiang Zeng and Lu Jiang

2026: AI-exposed jobs deteriorated before ChatGPT

Morgan R. Frank, Alireza Javadian Sabet, Lisa Simon, Sarah H. Bana and Renzhe Yu

2026: Modeling Policy and Resource Dynamics in the Construction Sector of Developing Countries: A System Dynamics Approach Using Sudan as a Case Study

Malik Dongla and Mohamed Khalafalla

2026: Temporal Kolmogorov-Arnold Networks (T-KAN) for High-Frequency Limit Order Book Forecasting: Efficiency, Interpretability, and Alpha Decay

Ahmad Makinde

2026: Forward Performance Processes under Multiple Default Risks

Wing Fung Chong, Roxana Dumitrescu, Gechun Liang and Kenneth Tsz Hin Ng

2026: Optimal Dispatch of Electricity and Water in Renewable-Integrated Desalination Plants

Ahmed S. Alahmed, Audun Botterud, Saurabh Amin and Ali T. Al-Awami

2026: Fare-Free Bus Service and CO2 Reductions: Evidence from a Natural Experiment

Anna Alberini, Javier Bas and Cinzia Cirillo

2026: Reinforcement Learning Based Computationally Efficient Conditional Choice Simulation Estimation of Dynamic Discrete Choice Models

Ahmed Khwaja and Sonal Srivastava

2026: The economics of sportscast revenue sharing

Gustavo Berganti\~nos and Juan Moreno-Ternero

2026: Oscillatory evolutionarily stable state and limit cycle in replicator dynamics

Suman Chakraborty, Vikash Kumar Dubey, Vaibhav Madhok and Sagar Chakraborty

2026: On lead-lag estimation of non-synchronously observed point processes

Takaaki Shiotani, Takaki Hayashi and Yuta Koike

2026: Dynamic Risk in the U.S. Banking System: An Analysis of Sentiment, Policy Shocks, and Spillover Effects

Haibo Wang, Jun Huang, Lutfu S Sua, Jaime Ortiz, Jinshyang Roan and Bahram Alidaee

2026: Reinforcement Learning for Option Hedging: Static Implied-Volatility Fit versus Shortfall-Aware Performance

Ziheng Chen, Minxuan Hu, Jiayu Yi and Wenxi Sun

2026: Wasserstein Distributionally Robust Rare-Event Simulation

Dohyun Ahn, Huiyi Chen and Lewen Zheng

2026: When and Why State-Dependent Local Projections Work

Valentin Winkler

2026: Existence of Optimal Mechanisms for Selling Multiple Goods: An Elementary Proof

Sergiu Hart and Noam Nisan

2026: Mapping the Energetic Structure of Climate Transitions for Policy Relevant Regime Detection

Ngueuleweu Tiwang Gildas

2026: Chaos and Synchronization in Financial Leverages Dynamics: Modeling Systemic Risk with Coupled Unimodal Maps

Marco Ioffredi, Stefano Marmi and Matteo Tanzi

2026: Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables

Shuyuan Chen, Peng Zhang and Yifan Cui

2026: A multi-self model of self-punishment

Angelo Enrico Petralia

2026: Strategic Expression, Popularity Traps, and Welfare in Social Media

Zafer Kanik and Zaruhi Hakobyan

2026: Agreement with reservation of judgment under risk

Leo Kurata and Kensei Nakamura

2026: LLM Collusion

Shengyu Cao and Ming Hu

2026: Critical volatility threshold for log-normal to power-law transition

Valerii Kremnev

2026: European Options in Market Models with Multiple Defaults: the BSDE approach

Miryana Grigorova and James Wheeldon

2026: Order-Constrained Spectral Causality in Multivariate Time Series

Alejandro Rodriguez Dominguez

2026: Central limit theorem for a partially observed interacting system of Hawkes processes I: subcritical case

Chenguang Liu, Liping Xu and An Zhang

2026: Optimizing Patient Placement in Normal Care Units: An Instrumental Causal Forest Approach Minimizing Mortality

Johannes Cordier

2026: A dynamic factor semiparametric model for VaR and expected shortfall driven by realized measures

Sicheng Fu

2026: Distribution-Matching Posterior Inference for Incomplete Structural Models

Takashi Kano

2026: Sticky Homelessness (Working Paper)

Richard Yun

2026: TWICE: Tree-based Wage Inference with Clustering and Estimation

Aslan Bakirov, Francesco Del Prato and Paolo Zacchia

2026: LLM Agents for Combinatorial Efficient Frontiers: Investment Portfolio Optimization

Simon Paquette-Greenbaum and Jiangbo Yu

2026: Continuous time asymptotic representations for adaptive experiments

Karun Adusumilli

2026: Second Thoughts: How 1-second subslots transform CEX-DEX Arbitrage on Ethereum

Aleksei Adadurov, Sergey Barseghyan, Anton Chtepine, Antero Eloranta, Andrei Sebyakin and Arsenii Valitov

2026: Separating the Wheat from the Chaff

Johannes H\"orner and Paula Onuchic

2026: Difference-in-Differences using Double Negative Controls and Graph Neural Networks for Unmeasured Network Confounding

Zihan Zhang, Lianyan Fu and Dehui Wang

2026: Uncertainty-Adjusted Sorting for Asset Pricing with Machine Learning

Yan Liu, Ye Luo, Zigan Wang and Xiaowei Zhang

2026: Capital allocation and tail central moments for the multivariate normal mean-variance mixture distribution

Enrique Calder\'in-Ojeda, Yuyu Chen and Soon Wei Tan

2026: The Dial-a-Ride Problem with Synchronized Visits

Boshuai Zhao, Jakob Puchinger and Roel Leus

2026: Multimodal Insights into Credit Risk Modelling: Integrating Climate and Text Data for Default Prediction

Zongxiao Wu, Ran Liu, Jiang Dai and Dan Luo

2026: Effect of Informational Interventions on EV Adoption Intention: Evidence from a Tier II City in India

Pranshu Raghuvanshi and Anjula Gurtoo

2026: Core-Periphery Dynamics in Market-Conditioned Financial Networks: A Conditional P-Threshold Mutual Information Approach

Kundan Mukhia, Imran Ansari, S R Luwang and Md Nurujjaman

2026: Option Pricing beyond Black-Scholes Model:Quantum Mechanics Approach

Pengpeng Li and Shi-Dong Liang

2026: A Global Optimal Theory of Portfolio beyond R-$\sigma$ Model

Yifan Liu and Shi-Dong Liang

2026: What Is a Causal Effect When Firms Interact? Counterfactuals and Interdependence

Mariluz Mate

2026: Testing Monotonicity in a Finite Population

Jiafeng Chen, Jonathan Roth and Jann Spiess

2026: The Impact of LLMs on Online News Consumption and Production

Hangcheng Zhao and Ron Berman

2026: Lambda Expected Shortfall

Fabio Bellini, Muqiao Huang, Qiuqi Wang and Ruodu Wang

2026: Assessing the Effects of Macroeconomic Variables on Child Mortality in D-8 Countries Using Panel Data Analysis

M. Waseem Akram, Binita Shahi and M. Javed Akram

2026: Team Disagreement and Productive Persuasion

Giampaolo Bonomi

2026: When Indemnity Insurance Fails: Parametric Coverage under Binding Budget and Risk Constraints

Benjamin Avanzi, Debbie Kusch Falden and Mogens Steffensen

2026: Optimal Signal Extraction from Order Flow: A Matched Filter Perspective on Normalization and Market Microstructure

Sungwoo Kang

2026: Preventive Care Disruptions and Emergency Hospitalizations: Evidence from COVID-19 and SHARE

Moslem Rashidi, Luke B. Connelly and Gianluca Fiorentini

2026: Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function Approximation Methods

Tony Wang, Kyle Feinstein and Sheryl Chen

2026: Sharp Structure-Agnostic Lower Bounds for General Linear Functional Estimation

Jikai Jin and Vasilis Syrgkanis

2026: Exponentially weighted estimands and the exponential family: filtering, prediction and smoothing

Simon Donker van Heel and Neil Shephard

2026: Market Beliefs about Open vs. Closed AI

Daniel Bj\"orkegren

2026: Classifying Tokenised Money: Dimensions and Design Features

Thomas Ankenbrand, Denis Bieri, Stefano Ferrazzini and Johannes Hoehener

2026: Sustainable Exploitation Equilibria for Dynamic Games

Nicholas H. Kirk

2026: Ill-Conditioned Orthogonal Scores in Double Machine Learning

Gabriel Saco

2026: Vague Knowledge: Information without Transitivity and Partitions

Kerry Xiao

2026: Statistical Inference in Large Multi-way Networks

Lucas Resende, Guillaume Lecu\'e, Lionel Wilner and Philippe Chon\'e

2026: Generalized method of moments with partially missing data

Grigory Franguridi and Hyungsik Roger Moon

2026: Computing Evolutionarily Stable Strategies in Multiplayer Games

Sam Ganzfried

2026: Modified Delayed Acceptance MCMC for Quasi-Bayesian Inference with Linear Moment Conditions

Masahiro Tanaka

2026: Cognitive biases shape the evolution of zero-sum norms

Isaak Mengesha, Meiqi Sun and Debraj Roy

2026: Quantile Selection in the Gender Pay Gap

Egshiglen Batbayar, Christoph Breunig, Peter Haan and Boryana Ilieva

2026: The disclosure of information about the range of asset value in market

Jianhao Su and Yanliang Zhang

2026: Do Test Scores Help Teachers Give Better Track Advice to Students? A Principal Stratification Analysis

Andrea Ichino, Fabrizia Mealli and Javier Viviens

2026: The Shape of Markets: Machine learning modeling and Prediction Using 2-Manifold Geometries

Panagiotis G. Papaioannou and Athanassios N. Yannacopoulos

2026: Distributionally Robust Synthetic Control: Ensuring Robustness Against Highly Correlated Controls and Weight Shifts

Taehyeon Koo and Zijian Guo

2026: Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach

Jacob Carlson

2026: Black-Scholes Model, comparison between Analytical Solution and Numerical Analysis

Francesco Romaggi

2026: Neither Consent nor Property: A Policy Lab for Data Law

Haoyi Zhang and Tianyi Zhu

2026: General Equilibrium Amplification and Crisis Vulnerability: Cross-Crisis Evidence from Global Banks

Tatsuru Kikuchi

2026: Adaptive Multilevel Splitting: First Application to Rare-Event Derivative Pricing

Riccardo Gozzo

2026: Semi-analytical pricing of American options with hybrid dividends via integral equations and the GIT method

Andrey Itkin

2026: ATLAS: Adaptive Trading with LLM AgentS Through Dynamic Prompt Optimization and Multi-Agent Coordination

Charidimos Papadakis, Angeliki Dimitriou, Giorgos Filandrianos, Maria Lymperaiou, Konstantinos Thomas and Giorgos Stamou

2026: SoK: Market Microstructure for Decentralized Prediction Markets (DePMs)

Nahid Rahman, Joseph Al-Chami and Jeremy Clark

2026: Perceived Fairness in Networks

Arthur Charpentier

2026: The Bayesian Origin of the Probability Weighting Function in Human Representation of Probabilities

Xin Tong, Thi Thu Uyen Hoang, Xue-Xin Wei and Michael Hahn

2026: Noise estimation of SDE from a single data trajectory

Munawar Ali, Purba Das, Qi Feng, Liyao Gao and Guang Lin

2026: Evolutionary Learning in Spatial Agent-Based Models for Physical Climate Risk Assessment

Yara Mohajerani

2026: Demand and consumer surplus in the payday-loan market: Evidence from British Columbia

Tim Zhang and Amity Quinn

2026: Community-level Contagion among Diverse Financial Assets

An Pham Ngoc Nguyen, Marija Bezbradica and Martin Crane

2026: Navigating the safe harbor paradox in human-machine systems

Riccardo Zanardelli

2026: Epsilon-Minimax Solutions of Statistical Decision Problems

Andr\'es Aradillas Fern\'andez, Jos\'e Blanchet, Jos\'e Luis Montiel Olea, Chen Qiu, Jörg Stoye and Lezhi Tan

2026: Learning from Experts with Uncertain Precision

Georgy Lukyanov

2026: Contrarian Motives in Social Learning

Georgy Lukyanov and Vasilii Ivanik

2026: A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions

Hugo Kruiniger

2026: Consistent Opponent Modeling in Imperfect-Information Games

Sam Ganzfried

2026: Remote Work and Women's Labor Supply: The New Gender Division at Home

Isabella Di Filippo, Bruno Escobar and Juan Facal

2026: Waiting for Trade in Markets with Aggregate Uncertainty

Justus Preusser

2026: Bayesian Smoothed Quantile Regression

Bingqi Liu, Kangqiang Li and Tianxiao Pang

2026: Robust Econometrics for Growth-at-Risk

Tobias Adrian, Yuya Sasaki and Yulong Wang

2026: Information geometry of L\'evy processes and financial models

Jaehyung Choi

2026: The Root of Revenue Continuity

Sergiu Hart and Noam Nisan

2026: Digital Durable Goods Monopoly

Zihao Li

2026: Incentivizing Knowledge Transfers

Zhonghong Kuang, Yi Liu and Dong Wei

2026: A Midsummer Meme's Dream: Investigating Market Manipulations in the Meme Coin Ecosystem

Alberto Maria Mongardini and Alessandro Mei

2026: Flexible Moral Hazard Problems with Adverse Selection

Siwen Liu

2026: Causal Inference for Aggregated Treatment

Carolina Caetano, Gregorio Caetano, Brantly Callaway VI and Derek Dyal

2026: American options valuation in time-dependent jump-diffusion models via integral equations and characteristic functions

Andrey Itkin

2026: Distributionally Robust Contract Design with Deferred Inspection

Halil I. Bayrak and Martin Bichler

2026: Latent Variable Modelling by Supervised Diffusion

Daniil Bargman

2026: Welfare Reform: Consequences for the Children

Marianne Simonsen, Lars Skipper and Jeffrey Smith

2026: Constant-Factor Algorithms for Revenue Management with Consecutive Stays

Ming Hu and Tongwen Wu

2026: Fair Document Valuation in LLM Summaries via Shapley Values

Zikun Ye and Hema Yoganarasimhan

2026: Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis

Jiawei Fu and Donald P. Green

2026: Filtering in a hazard rate change-point model with financial and life-insurance applications

Matteo Buttarazzi and Claudia Ceci

2026: Transfer Learning Across Fixed-Income Product Classes

Nicolas Camenzind and Damir Filipovic

2026: Design-Based Inference under Random Potential Outcomes

Yukai Yang

2026: Optimal design of reinsurance contracts with a continuum of risk assessments

Ka Chun Cheung, Sheung Chi Phillip Yam, Fei Lung Yuen and Yiying Zhang

2026: Beyond Correlation: Positive Definite Dependence Measures for Robust Inference, Flexible Scenarios, and Causal Modeling for Financial Portfolios

Jd Opdyke

2026: Improving Bayesian Optimization for Portfolio Management with an Adaptive Scheduling

Zinuo You, John Cartlidge, Karen Elliott, Menghan Ge and Daniel Gold

2026: The heterogeneous causal effects of the EU's Cohesion Fund

Angelos Alexopoulos, Ilias Kostarakos, Christos Mylonakis and Petros Varthalitis

2026: Ordinary Least Squares as an Attention Mechanism

Philippe Goulet Coulombe

2026: Diffusion Factor Models: Generating High-Dimensional Returns with Factor Structure

Minshuo Chen, Renyuan Xu, Yumin Xu and Ruixun Zhang

2026: Model Combination in Risk Sharing under Ambiguity

Emma Kroell, Sebastian Jaimungal and Silvana M. Pesenti

2026: Optimal Control of an Epidemic with Intervention Design

Behrooz Moosavi Ramezanzadeh

2026: A Hybrid Framework Combining Autoregression and Common Factors for Matrix Time Series

Zhiyun Fan, Xiaoyu Zhang and Di Wang

2026: It's Not All Black and White: Degree of Truthfulness for Risk-Avoiding Agents

Eden Hartman, Erel Segal-Halevi and Biaoshuai Tao

2026: Network topology of the Euro Area interbank market

Ilias Aarab and Thomas Gottron

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