د. سعيد بن ناصر القحطاني

Featured Research & Projects — Saudi HPI, LTV & Innovation

• Saudi House‑Price Index (JREPM, 2022). Practical framework to build national and city‑level HPIs for Saudi Arabia (Riyadh and major cities), enabling momentum analysis and cross‑city comparisons. Read the peer‑reviewed article (DOI) .
• Mortgage Policy (Loan‑to‑Value, LTV) — SAMA Joint Research (2022–2023). External‑researcher project assessing how LTV limits in the Saudi mortgage market influence housing‑price growth and credit dynamics.
• Patent filed (KSA) — transaction data quality for HPI. Computer‑implemented method + system using unsupervised clustering (k‑means) across neighborhood/year windows to reclassify property type in historical transactions; corrected datasets support mix‑adjusted and repeat‑sales HPIs at city and national scales.

Saudi House‑Price Index (HPI): methods & applications for Riyadh and major cities

Data quality first. Before index estimation, transaction records are cleaned and mis‑labeled property types are reclassified via unsupervised clustering (k‑means) across neighborhood/year windows to improve longitudinal consistency and reduce bias.

Index construction. Use of mix‑adjusted and repeat‑sales models chosen by data sufficiency and stability; outputs are designed for agencies, banks, and funds that need interpretable indicators for the Saudi housing market.

Loan‑to‑Value (LTV) in Saudi mortgage markets — macroprudential evaluation

Evidence‑based assessment of LTV policy in Saudi Arabia, focusing on interactions between borrower leverage, price momentum, and credit growth. Deliverables include empirical studies and executive‑style policy briefs for decision‑makers.

Real‑estate financial risk & the secondary market in KSA (refinancing, securitization, fund governance)

Research and practice address risk in mortgage and housing markets and examine the secondary real‑estate market: refinancing structures, securitization considerations, and fund governance.

Publications (refereed)

Algahtani, S. N. (2022). Constructing a House Price Index for Saudi Arabia. Journal of Real Estate Portfolio Management, 28(2), 166–182. DOI

Working papers / under review

Algahtani & Altamimi — Are Government‑Owned Stocks Less Volatile? Investigates idiosyncratic‑volatility behavior and channels. (Under review.)

Funded research & grants

Saudi Central Bank (SAMA) — Joint Research Program (External Researcher), Feb 2022–Mar 2023: The Effectiveness of Loan‑to‑Value Ratio for Damping Housing Prices in Saudi Arabia.

Policy & industry engagements (selected)

• SDAIA (Saudi Data & AI Authority) — Consultant (Finance Expert), Jul 2024–Jan 2025: finance use‑cases for the Arabic Allam model; curated/QA’d datasets; accuracy & safety checks.
• Ministry of Economy & Planning (KSA) — External Reviewer, May–Jul 2023: reviewed a study on Saudi housing‑market determinants and policy impacts; alignment with national priorities.

Boards & industry leadership

• Independent Board Member (3 real‑estate funds), Value Capital — Apr 2025–Present.
• Chairman‑Designate, Towd Financial (CMA licensing in process) — Oct 2024–Present.
• Co‑Founder & Managing Director, Hubble PropTech — Mar 2024–Present.

Intellectual property & data

Patent filed (KSA). Reclassification pipeline (method, system, non‑transitory medium) that improves transaction‑data quality for city/national HPIs in Saudi Arabia.

Methods & datasets

Methods: Unsupervised clustering (k‑means); mix‑adjusted & repeat‑sales indices; forecasting; data quality / record linkage.
Software: Stata, EViews, Mathematica, Microsoft Office.
Data: CRSP, Compustat, Bloomberg Terminal.

Topics: Saudi house‑price index (HPI); housing price index Saudi Arabia; Riyadh HPI; mortgage policy (loan‑to‑value, LTV); real‑estate finance & risk in KSA; Saudi mortgage market; secondary real‑estate market; refinancing; securitization; fund governance; transaction‑data quality.

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