Inaugural editorial: The Review of Mathematical Economics
9th April, 2026

The international academic journal The Review of Mathematical Economics was officially launched in February 2026 (https://intlpress.com/rme). The journal is honored to have Academician Shing-Tung Yau serve as Honorary Editor-in-Chief, and Professor Fei Long as Editor-in-Chief.
The Review of Mathematical Economics is an interdisciplinary journal that bridges mathematical applications and economic research. The journal is dedicated to publishing high-level papers spanning theoretical and empirical analyses for economists, practitioners, and policymakers. The journal covers all the fields of economics.
The journal upholds the highest standards of academic independence and integrity. Each submission is evaluated according to objective, fair, and professional criteria. It is committed to providing an open, rigorous, and innovative international platform for scholarly exchange where ideas are developed and perspectives are refined.
The integration of mathematics and economics enables the exploration of the truths underlying social and economic development. The inaugural issue features five papers, each reflecting recent advances at the frontier of interdisciplinary research in economics.
Scholars are cordially invited to engage with the journal and to contribute your work.
Title: European Option Prices and Hedge under Incomplete Information: an Interdisciplinary Research with Yau-Yau Algorithm
Authors: Qi Zhang, Xueda Wei, Zeju Sun, Qiqi Gu, Jiayi Kang, Junda Wu, Junren Mao, Stephen S.-T. Yau, Shing-Tung Yau, and Fei Long

Title: Human Decisions and Artificial Intelligence
Authors: Zimeng Li, Edoardo Gallo, Jingyuan Wang, Ke Tang, and Han Hong

Title: Digital Messaging and Tax Compliance: Evidence from a Stratified and Rerandomized Field Experiment
Authors: Nikolay Angelov and Per Johansson

Title: Neural Importance Sampling for Option Pricing with Normalizing Flows
Authors: Xing Yan, Gongqiu Zhang, and Tianqi Zhao

Title: Textual Semantics and Machine Learning Methods for Data Product Pricing
Authors: Ruize Gao, Feng Xiao, Jinpu Li, and Shaoze Cui
