Excel for Real Estate Investor

Excel Functions for Investors (2025 Edition): From Lookups to Dynamic Arrays By Gabriel Shin — Core Property Laboratory for Investors Use this guide to build audit-ready models for real estate & corporate finance. It starts with a concise function set and adds dynamic arrays and LAMBDA patterns you can actually use in underwriting and portfolio … Read more

The Financial Market Blueprint

Financial Markets: A Visual Introduction Foundations of Financial Markets An infographic on the core concepts, instruments, and efficiency of capital markets. The Financial Market Ecosystem Financial markets are the engine of capital allocation, connecting those with capital (investors) to those who need it (issuers). This process occurs across two distinct but interconnected market types. Primary … Read more

The impact of AI in Real Estate

AI’s Blueprint for a Smarter Real Estate Market AI’s Blueprint for a Smarter Real Estate Market Artificial Intelligence is reshaping the world’s largest asset class, shifting the industry from a focus on transactions to a dynamic, user-centric experience. The Global Real Estate Market is a $280 Trillion asset class on the verge of a technological … Read more

The Financial Transformation: AI in Valuation, Risk, and Investment Alpha

 From Intuition to Alpha: How AI Reshapes Real Estate Investment, Finance, and Risk Management For institutional investors and real estate finance (REF) providers, AI is dissolving traditional bottlenecks in valuation, underwriting, and strategic capital allocation, fundamentally shifting the paradigm from speculation to data-driven foresight.    Generating Investment Alpha The competitive edge for investors is now defined … Read more

The Efficiency Engine: Operational Transformation and the $34 Billion Gain in Real Estate

Beyond the Buzzword: How AI is Generating Immediate, Quantifiable Efficiency in Property Operations The core of Artificial Intelligence’s impact on real estate is not in futuristic concepts, but in immediate operational overhaul, quantified by Morgan Stanley research at $34 billion in potential efficiency gains by 2030. This massive shift is driven by automating routine work and optimizing … Read more

Decoding the $34 Billion Opportunity: Key Findings from the Morgan Stanley AI in Real Estate Analysis

Source Document: https://www.morganstanley.com/insights/articles/ai-in-real-estate-2025 Analysis Overview and Key Findings: The Morgan Stanley Research analysis  focuses on the quantifiable economic impact of AI adoption across 162 Real Estate Investment Trusts (REITs) and Commercial Real Estate (CRE) firms, which collectively manage a substantial labor cost base ($92 billion and 525,000 employees). This report establishes AI not as a distant technology, but … Read more

Gabriel Gyojun Shin, MRICS

Real Assets & Investment Analytics (KR/EN): I bridge applied economics and investment analytics across property investment, corporate/debt finance, and AI-enabled research. My work focuses on turning research-grade methods into decision-ready models that boards and classrooms can both trust. Current focus areas Why this lab existsTo connect rigorous academic thinking with industry practice—without black boxes. I … Read more

This is the Academic Laboratory | Blog for Investor

Gabriel Gyojun 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 … Read more