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Absolute blockchain strength? Evidence from the ABS market in China

Author

Listed:
  • Jing Liu
  • Ilhyock Shim
  • Yanfeng Zheng

Abstract

Blockchain, a type of distributed ledger technology, has become a buzzword in the past decade. Its potential to challenge current business practices such as financial transactions has been touted or criticised by numerous researchers and practitioners. Nonetheless, academic literature thus far has provided little empirical evidence on how financial services benefit from such new technology. We exploit the emerging asset-backed security (ABS) market in China and its rapid adoption of blockchain technology. We examine whether blockchain-based ABS products enjoy better pricing than those not based on blockchain after controlling potential endogeneity with coarsened exact matching. Analysing approximately 5,000 ABS products issued between 2015 and 2020, we show that the adoption of blockchain technology indeed reduces the yield spread by approximately 25 basis points and that this benefit is heterogeneous across the different underlying asset classes and institutional arrangements. Interestingly, we find that social factors such as familiarity among key ABS parties may increase or decrease the benefit of adopting blockchain in ABS products depending on the asset classes and regulatory environments. Our study makes a timely contribution to the debate surrounding blockchain technology and its implication for the financial sector.

Suggested Citation

  • Jing Liu & Ilhyock Shim & Yanfeng Zheng, 2023. "Absolute blockchain strength? Evidence from the ABS market in China," BIS Working Papers 1116, Bank for International Settlements.
    • Handle: RePEc:bis:biswps:1116
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    References listed on IDEAS

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    1. Chalmers, John & Liu, Yu (Steve) & Wang, Z. Jay, 2021. "The difference a day makes: Timely disclosure and trading efficiency in the muni market," Journal of Financial Economics, Elsevier, vol. 139(1), pages 313-335.
    2. Chris Downing & Dwight Jaffee, 2009. "Is the Market for Mortgage-Backed Securities a Market for Lemons?," The Review of Financial Studies, Society for Financial Studies, vol. 22(7), pages 2257-2294, July.
    3. Jie (Jack) He & Jun (Qj) Qian & Philip E. Strahan, 2012. "Are All Ratings Created Equal? The Impact of Issuer Size on the Pricing of Mortgage-Backed Securities," Journal of Finance, American Finance Association, vol. 67(6), pages 2097-2137, December.
    4. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2019. "A Theory of Statistical Inference for Matching Methods in Causal Research," Political Analysis, Cambridge University Press, vol. 27(1), pages 46-68, January.
    5. Lin William Cong & Zhiguo He, 2019. "Blockchain Disruption and Smart Contracts," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1754-1797.
    6. Yael V. Hochberg & Alexander Ljungqvist & Yang Lu, 2010. "Networking as a Barrier to Entry and the Competitive Supply of Venture Capital," Journal of Finance, American Finance Association, vol. 65(3), pages 829-859, June.
    7. Roger D. Huang, 2002. "The Quality of ECN and Nasdaq Market Maker Quotes," Journal of Finance, American Finance Association, vol. 57(3), pages 1285-1319, June.
    8. Daines, Robert M. & Gow, Ian D. & Larcker, David F., 2010. "Rating the ratings: How good are commercial governance ratings?," Journal of Financial Economics, Elsevier, vol. 98(3), pages 439-461, December.
    9. Jie (Jack) He & Jun (Q. J.) Qian & Philip E. Strahan, 2016. "Does the Market Understand Rating Shopping? Predicting MBS Losses with Initial Yields," The Review of Financial Studies, Society for Financial Studies, vol. 29(2), pages 457-485.
    10. Tomasz Piskorski & Amit Seru & James Witkin, 2015. "Asset Quality Misrepresentation by Financial Intermediaries: Evidence from the RMBS Market," Journal of Finance, American Finance Association, vol. 70(6), pages 2635-2678, December.
    11. Kedia, Simi & Rajgopal, Shivaram & Zhou, Xing, 2014. "Did going public impair Moody׳s credit ratings?," Journal of Financial Economics, Elsevier, vol. 114(2), pages 293-315.
    12. Dimitrov, Valentin & Palia, Darius & Tang, Leo, 2015. "Impact of the Dodd-Frank act on credit ratings," Journal of Financial Economics, Elsevier, vol. 115(3), pages 505-520.
    13. Kumar Venkataraman, 2001. "Automated Versus Floor Trading: An Analysis of Execution Costs on the Paris and New York Exchanges," Journal of Finance, American Finance Association, vol. 56(4), pages 1445-1485, August.
    14. Irani, Rustom M. & Oesch, David, 2013. "Monitoring and corporate disclosure: Evidence from a natural experiment," Journal of Financial Economics, Elsevier, vol. 109(2), pages 398-418.
    15. Brian Uzzi & Ryon Lancaster, 2003. "Relational Embeddedness and Learning: The Case of Bank Loan Managers and Their Clients," Management Science, INFORMS, vol. 49(4), pages 383-399, April.
    16. Yanfeng Zheng & Michael L. Devaughn & Mary Zellmer-Bruhn, 2016. "Shared and shared alike? Founders' prior shared experience and performance of newly founded banks," Strategic Management Journal, Wiley Blackwell, vol. 37(12), pages 2503-2520, December.
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    More about this item

    Keywords

    asset-backed security; blockchain; financial technology; social embeddedness; technology adoption;
    All these keywords.

    JEL classification:

    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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