Finance · Central Banking · FinTech · Research Infrastructure
I am Yue Dai, a PhD in FinTech from Renmin University of China and an economist and postdoctoral researcher at the Research Institute of the People's Bank of China.
My research agenda is organized around three interconnected areas:
(1) macroeconomic research, policy analysis, and the automation of economic research with AI;
(2) algorithmic trading strategy design across multiple asset classes, including equities, bonds, funds, commodities, and derivatives, with an emphasis on low-frequency investment research;
(3) high-frequency trading strategies, market microstructure, and the broader market implications of technology-driven trading.
This page presents selected public research outputs and non-sensitive research tools, including reproducible workflows, policy-research templates, and technical notes intended to support open collaboration.
Recent public-facing work, working papers, and repositories under preparation.
These repositories are intended to document reproducible research workflows while excluding private data, unpublished full texts, and sensitive implementation details.
Public-source briefings on how central banks and financial authorities adopt new technologies, including AI, data infrastructure, digital currency, suptech, regtech, and alternative data.
A survey-oriented repository on trustworthy AI in central banking, focusing on model governance, transparency, financial stability, supervision, and policy-research applications.
A satellite-image-based economic nowcasting workflow using remote sensing and alternative data, with a focus on monthly macro indicators and selected firm-level signals.
A research toolkit for finance-oriented large language models, including paper taxonomy, task design, evaluation rubrics, RAG examples, agent workflow notes, and small public demos.
A technical and empirical project on high-frequency trading strategies, high-frequency data infrastructure, and the market-wide impact of algorithmic trading.
Selected peer-reviewed articles, working papers, policy research notes, survey work, and book material. Only publicly shareable versions should be uploaded.
Working paper on using satellite imagery and alternative data to support monthly economic nowcasting and policy-oriented macroeconomic analysis.
PDFSurvey work on financial large language models, from domain adaptation and task specialization to agentic financial intelligence.
PDFSurvey work in progress on central-bank AI applications, model governance, transparency, model risk management, and policy-research use cases.
Book material on fintech development and financial risk in China.
PDFResearch on analyst following, information asymmetry, and corporate greenwashing decisions.
PDFResearch on intraday liquidity cycles, high-frequency pricing signals, and market microstructure.
PDFPolicy research on digital finance, CBDC, monetary hierarchy, and financial innovation.
PDFResearch on monetary policy communication and expectation management.
PDFBriefing on satellite remote sensing applications in World Bank lending projects and financial-sector implications.
PDFResearch on physical climate risk identification, risk transmission, and commercial bank risk management.
PDFPolicy research on IPO dependence, M&A exits, S-fund markets, and venture capital liquidity.
PDFResearch on stabilization funds, systemic risk, and secondary market policy tools.
PDFPolicy research on green finance, low-carbon cities, risk sharing, and smart monitoring platforms.
PDFSelected intellectual property outputs related to remote sensing, economic activity measurement, and financial technology applications.
Public patent document on enterprise-level data processing using remote-sensing imagery and economic activity signals.
PDFPatent work in preparation on using satellite imagery and alternative data pipelines for macroeconomic nowcasting and firm-level economic signal extraction.
Selected academic service, funded research, and policy-oriented project experience.
Conference reviewing: reviewer for NeurIPS 2026, with two papers reviewed; invited reviewer for The 9th Chinese Conference on Pattern Recognition and Computer Vision (2026).
Journal reviewing: reviewer for Pattern Recognition and selected Springer Nature journals, including Scientific Reports and Humanities and Social Sciences Communications.
I welcome invitations to review research in AI, machine learning, financial technology, financial AI, quantitative finance, and related areas.
OpenReview profile: ~Yue_Dai9.
Recipient of support from the China Postdoctoral Science Foundation for postdoctoral research in finance, fintech, and policy-oriented economic analysis.
Principal investigator and project lead for research projects on financial markets, fintech applications, macroeconomic monitoring, and policy analysis.
Principal writer for multiple research projects at the People's Bank of China, including key research topics, policy briefings, internal reference reports, core reports, and publication-oriented outputs.
Maintains close research collaboration with Sixiang Aishu Technology Company on remote-sensing applications, rural finance, agricultural credit and insurance, economic monitoring, and the translation of geospatial technologies into financial research tools.
Selected public links on research projects, grants, policy-oriented outputs, and collaboration outcomes. This section will be expanded as additional public records become available.
Public coverage of a rural financial services report. My contribution focuses on how banks use remote-sensing technology in agricultural lending, agricultural insurance, and rural financial risk management.
ReadPublic coverage of a funded postdoctoral research project that I lead, applying remote-sensing methods to biodiversity-related research, with RMB 240,000 in project funding.
ReadFuture links may include public records of grants, central-bank research projects, institutional reports, and media coverage of research tools or policy outputs.
I welcome conversations on financial markets, macro research, monetary policy, financial LLMs, high-frequency data engineering, satellite-image-based economic nowcasting, and open research tools for finance.
Views are my own and do not represent any institution.