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Investment Research · Power BI · 2026

Rolex vs S&P 500

A quantitative study of luxury watches as an investment asset

Rolex vs S&P 500

References analysed

38

Time horizon

2009–2026

Data points

1,400+

Modern steel CAGR

1.7–6.3%

Overview

A 36-page quantitative analysis of 38 Rolex references against the S&P 500 from 2009 to 2026. Built around a Power BI dashboard that lets you explore CAGRs, drawdowns, and the COVID-era bubble cycle reference by reference.

Dashboard

Explore it in Power BI

Filter by reference, era and material; benchmark any watch against the S&P 500 over the same window.

Research paper

Rolex vs S&P 500 — full study

36 pages · PDF

Dataset

Price histories & calculations

1,400+ data points · XLSX

The question

Are Rolex watches a credible alternative to broad equity exposure? The COVID-era bubble made the answer feel obvious — until the 2022 correction. We wanted a reference-level, not basket-level, picture.

Approach

Price histories were collected from Chrono24 with WatchCharts and Knight Frank KFLII as supplementary sources. Each reference is treated as its own asset with holding-period returns, CAGR, and peak-to-trough drawdowns, then benchmarked against the S&P 500 over equivalent windows.

What the dashboard shows

Filter by collection, era, or material to compare any reference against the S&P 500. KPI cards surface CAGR, max drawdown and bubble premium; the time series view layers price history with the index for direct visual comparison.

Findings

Modern steel sport references underperform equities materially after costs. Select vintage references (Submariner 5512/6200/6538, Sea-Dweller 1665, Paul Newman Daytonas) reach 12–14% CAGR but carry condition, liquidity and transaction-cost risk that erodes the apparent edge.

Discipline

  • Power BI
  • Python (data prep)
  • Excel modelling
  • Academic writing

Next project

BroadDay