Nuoyuan Ke柯諾遠

I'm a master's student in Business and Data Analytics at City University of Hong Kong, preparing to apply for a PhD in information systems. My current work uses empirical methods, text analytics, and data-driven tools to study questions in corporate disclosure, platform strategy, and decision-relevant information.

Hong Kong  ·  Preparing PhD applications  ·  Exchange, Maastricht University — Fall 2026

Now
MSc, CityU HK
GPA 3.7
Method
Empirical IS
panel data · NLP
Research
Working paper & projects
IS · AI · platforms

Research Interests

Education

  1. 2025 — Present City University of Hong Kong MSc, Business and Data Analytics · GPA 3.7 · Hong Kong Exchange study at Maastricht University (School of Business and Economics), Fall 2026
  2. 2021 — 2025 Southern University of Science and Technology BSc, Big Data Management and Application · Shenzhen, China

Research Projects

N = 1,730 firm-years  ·  S&P 500 · 2010–2020

Forward-Looking Disclosures and Corporate Credit Ratings

The Impact of Forward-Looking Disclosures on Corporate Credit Ratings: Risk Sentiment and Disclosure Complexity

Working paper · intended PhD writing sample · advised by Prof. Raymond Y.K. Lau · Draft manuscript in progress

Annual reports carry subtle, hard-to-verify signals about future risk, especially in the forward-looking statements where managers discuss expectations and adverse conditions. I separate the semantic content of disclosure from its information-processing cost through a two-channel framework: a content channel measuring risk sentiment with FinBERT, and a clarity channel measuring complexity with Flesch–Kincaid readability. Across the panel, disclosure complexity tracks ratings more consistently, while sentiment matters most for larger firms — suggesting that rating-relevant textual signals depend on a firm's information environment.

16,598 titles  ·  31 platforms · 1980–2020

Exclusivity and First-Party Strategies on Video Game Platforms

Undergraduate thesis, SUSTech · advised by Prof. Xu Ting · 2025

Platform-strategy research often treats exclusivity as a universal advantage, overlooking regional differences in switching costs, loyalty, and content preference. Estimating OLS models on log regional sales across North America, Europe, Japan and other markets — with robustness checks using winsorization, clustered standard errors, and alternative specifications — I find substantial regional heterogeneity: exclusivity associates with lower sales in Western markets but a marginally positive effect in Japan, while first-party strategies are consistently positive yet regionally distinct.

Curriculum Vitae

Full academic CV — education, research experience, technical projects, and skills.

↓ Download CV (PDF)

Selected Technical Projects

AI-Assisted Literature Monitoring & Extraction System

An automated pipeline that tracks new research from RSS and online sources, then combines Python pre-filtering with LLM-assisted screening to surface work relevant to information systems, digital platforms, and AI. Generates structured notes — research question, methods, data, findings — for reading prioritization.

Python · LLM screening · RSS · structured HTML output

LLM-Based Equity Research Assistant

A retrieval-augmented conversational prototype grounding equity-research queries in financial news, company reports, and public filings. Query-routing prompts handle company lookup, event extraction, and risk summarization, returning evidence-backed notes rather than unsupported recommendations.

RAG · query routing · source grounding · Python

Contact

Location

City University of Hong Kong · Hong Kong

Elsewhere

GitHub