Optimal Policy for Financial Market Tokenization
Itai Agur and
Alexander Copestake
No 2025/185, IMF Working Papers from International Monetary Fund
Abstract:
Competing broker initiatives to “tokenize” financial assets—i.e., represent them on programmable platforms—promise efficiency gains but raise concerns about market fragmentation. Policymakers in several countries are considering supporting such platforms or mandating their interoperability. We provide the first formal framework for analyzing optimal policy in this context. Brokers with heterogeneous market power compete to attract investors and execute their trades intra-broker or on a legacy platform. Coalitions of brokers can invest in creating a tokenized market with faster, cheaper inter-broker settlement. Partial coalitions divert trades away from excluded competitors, leading to equilibrium coalition structures that can feature excessive investment or insufficient tokenization. Neither public-private cost-sharing nor interoperability mandates are sufficient to achieve the social optimum when used alone, but their combination is. These results withstand incorporating an open-access ledger (e.g., a public blockchain).
Keywords: Tokenization; Interoperability; Intermediation; Trading platforms; Coali-tion formation. (search for similar items in EconPapers)
Pages: 58
Date: 2025-09-19
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=570540 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:imf:imfwpa:2025/185
Ordering information: This working paper can be ordered from
http://www.imf.org/external/pubs/pubs/ord_info.htm
Access Statistics for this paper
More papers in IMF Working Papers from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC.
Bibliographic data for series maintained by Akshay Modi ().