India’s SEBI plans tokenization, DLT pilots for corporate bonds
RWA Signal Insight
U.S. TreasuriesThe Securities and Exchange Board of India (SEBI) has officially confirmed plans to launch a pilot program for tokenizing corporate bonds using distributed ledger technology. As outlined in its annual report, the regulator aims to leverage blockchain to achieve faster settlement, improved operational efficiencies, and enhanced programmability via smart contracts. The initiative also seeks to explore integration with India's central bank digital currency (CBDC) for settlement mechanisms. SEBI Chairman Tuhin Kanta Pandey indicated that the trial will operate on a limited scale over a six to nine-month period. This move is intended to address fragmentation within the Indian corporate bond market, which has historically lagged behind sovereign and financial institution issuances in the digital space. While global precedents like Siemens' €360 million issuance and POSCO International's $100 million bond demonstrate the potential for corporate blockchain adoption, India's pilot will build upon existing infrastructure like the CBDC and Asset Tokenisation (CAT) Sandbox. By testing these technologies, SEBI aims to modernize debt market infrastructure and align with broader digital financial trends.
Key points
- SEBI confirmed a corporate bond tokenization pilot to improve settlement and operational efficiency.
- The trial will run on a limited scale over six to nine months.
- The project explores integration with India's retail and wholesale CBDC for settlement.
- The initiative aims to standardize the currently fragmented Indian corporate bond market.
Background
SEBI is the primary regulatory body for the securities market in India, responsible for protecting investor interests and promoting the development of the securities market. The Reserve Bank of India (RBI) has been actively developing a digital rupee (CBDC) and established the CBDC and Asset Tokenisation (CAT) Sandbox to simulate blockchain-based financial transactions.