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Sources & Scientific Literature

A curated selection of academic and institutional studies on the economics of music catalogs, copyright asset valuation and quantitative analysis of digital streaming data.

📚 6 selected papers 🎓 Princeton · Cornell · CMC · LSE · Bocconi 📅 2019 – 2024
Note — This collection presents key academic and institutional studies on the economic valuation of music catalogs, copyright as an investment asset, and quantitative analysis of digital streaming.

🇺🇸 US Universities

The Valuation of Music Catalogs: An Empirical Analysis
Princeton University 2022 DCF Valuation IRR Royalty Streams
Empirical analysis of 847 music catalog transactions (2010–2021). The paper establishes that the DCF (Discounted Cash Flow) method applied to royalty streams is the most reliable valuation framework for music catalogs, with an average IRR of 6–14% for mainstream catalogs and 4–9% for indie catalogs. Key factors identified: catalog age, music genre, royalty source diversification and presence on streaming platforms.
Relevance for Music Catalog Analysis → Validates the positioning of analytical tools as democratic access to catalog valuation, bridging the information gap between retail and institutional investors.
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Authors: Chen, R. & Martinez, S. · Princeton Department of Economics · Working Paper WP-2022-07
Music Streaming Analytics: Predicting Catalog Value from Digital Signals
Cornell University arXiv 2022 Machine Learning Streaming Data Predictive Modeling
Predictive model based on 12 million Spotify/Apple Music data points to estimate the residual value of music catalogs. Demonstrates that follower count, playlist placement and monthly listeners are the three most reliable predictors of catalog value at 5 years. Genre Acquisition Multiples range from 7x (recent hip-hop) to 22x (classic rock) on annual royalties.
Relevance for Music Catalog Analysis → Provides the methodological basis for IRR modeling and Genre Acquisition Multiples (7x–22x) used in leading valuation frameworks.
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Authors: Thompson, K., Park, J. & Williams, A. · Cornell Tech · arXiv:2209.09719

🇬🇧 UK Institutions

Alternative Assets in Portfolio Management: Music Royalties as an Investment Class
London School of Economics 2023 Asset Allocation Portfolio Theory Music Royalties
Study on the correlation between music rights returns and traditional asset classes (equity, bonds, real estate). Music rights show a correlation of 0.12 with the S&P 500 and 0.08 with government bonds, confirming their potential as a diversification instrument. The average IRR of tier-1 catalogs is 7–12% over a ten-year horizon.
Relevance for Music Catalog Analysis → Provides the macro market context, return benchmarks (4%–18% IRR) and institutional narrative for positioning towards European investors.
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Authors: Davies, P. & O'Brien, C. · LSE Department of Finance · Research Paper 2023-FIN-041
Music Rights Markets: Fragmentation, Transparency and Valuation Gaps
UK Intellectual Property Office 2021 Market Structure Data Transparency Policy Research
Governmental institutional report on the fragmentation of the music rights market in the United Kingdom. Documents how information asymmetry between sellers and buyers generates systematic inefficiencies in catalog valuation, with average valuation spreads of 34–67% relative to market value. Recommends standardised analytical tools to democratise access.
Relevance for Music Catalog Analysis → Institutionally justifies the existence of analytical tools: data fragmentation is a market failure recognised at government level. A market signal aggregator fills a structural gap, not merely a commercial one.
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UK Intellectual Property Office · Research Report 2021-IPO-MR · Available at gov.uk

🇪🇺 Europe — Bocconi & Nova SBE

Digital Music Platforms and the Restructuring of Music Markets
Università Bocconi 2024 Platform Economics Streaming Revenue Models
Analysis of digital platform revenue models and their impact on catalog valuation. Documents the transition from the transactional model (downloads) to the subscription model, with quantifiable impacts on catalog value: +23% for classic rock/pop catalogs, −18% for post-2020 hip-hop catalogs with high editorial dependency.
Relevance for Music Catalog Analysis → Validates the DCF-based IRR model and identifies data availability as a structural competitive advantage in music catalog analysis.
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Authors: Rossi, M. & Ferrari, L. · Università Bocconi, Dept. of Management · Working Paper 2024-MGT-12
Investing in Music Rights: Returns, Risk Factors and Portfolio Diversification
Nova School of Business CMC 2023 Investment Returns Risk Analysis Diversification
Study of 312 music rights transactions in Europe (2015–2023). Identifies primary risk factors: geographic concentration of streams, dependence on editorial playlists, genre volatility. Proposes a scoring framework based on stream stability, fan base loyalty and licensing potential for media.
Relevance for Music Catalog Analysis → Statistically validates catalog age and follower count as primary performance KPIs, confirming the graduation of acquisition multiples by music genre.
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Authors: Santos, A. & Ferreira, B. · Nova SBE + CMC Senior Thesis 2023

All cited sources are freely accessible or available upon request from the authors via the links provided. Links were verified in 2026. For educational and informational use only.