Gabriel Shin, MRICS — Real assets professional bridging applied economics and investment analytics (KR/EN)
Core Property Laboratory exists to connect research-grade thinking with industry-grade decisions across property investment, finance, and applied AI. Every post aims to be replicable, auditable, and useful—so students can learn rigor and practitioners can act with confidence.
Who It’s For
Academia — Students and researchers looking for clean models, small vetted datasets, and transparent methodology that can be reproduced in seminars and theses.
Industry — Investors, analysts, and operators who need workable frameworks for underwriting, portfolio design, and board-ready narratives—without black-box shortcuts.
What We Publish
Research Notes. Brief syntheses of papers, events, and regulatory updates—with what actually changes in real-asset underwriting or capital allocation.
Replicable Models. Excel workbooks for DCF, DSCR / coverage, factor & rules-based portfolios, and scenario / sensitivity testing, each with a short read-me and change log.
AI Workflows for Research. LLM-assisted document triage, disclosure parsing, multi-source synthesis, and quality checks that map directly to sheet inputs and assumptions.
Market Briefs. A weekly digest of AI and real estate developments with references and a one-page takeaway for decision makers.
Research Interest
1) Real Assets & Infrastructure
Data-center economics (utilization, power, heat), logistics networks, lease structure and rollover, energy and permitting constraints, and how these shape cash-flow resilience.
2) Real Estate Finance
Rules over narratives: factor design, rebalancing protocols, risk bounds, drawdown management, and regime awareness—implemented in readable Excel models.
3) Applied AI for Investment Workflows
Evidence over hype: document triage, disclosure tagging, inconsistency detection, and human-in-the-loop validation to keep analysis explainable and defensible.
4) Measurement & Impact
Methods to quantify uncertainty, stress-test assumptions, and report limitations. Better measurement → better governance → better capital decisions.
Focus Areas of Industry
- Investment & Asset Management: valuation, financial modeling, and underwriting review of closed transactions.
- Corporate & Debt Finance: capital structure, DSCR/covenants, refinancing scenarios, and rate/credit-spread stress.
- Alternative Real Assets: data centers, logistics, and “boring but resilient” assets that anchor portfolios.
- AI × Analytics: from filings/briefings to sheet-ready inputs you can audit.
Posting
- Market Brief — AI & Real Estate roundup with context and references.
- Monthly Model Update — templates and documentation refresh.
- Quarterly Research Synthesis — literature → practice, with classroom and boardroom use cases.
Contact
Collaboration, datasets, and classroom use are welcome.
Email: freesook7723@gmail.com