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Dynamic Trade Finance in the Presence of Information Frictions and FinTech

Author

Listed:
  • Hau Lee

    (Graduate School of Business, Stanford University, Stanford, California 94305)

  • Christopher Tang

    (Anderson School of Management, University of California, Los Angeles, Los Angeles, California 90095)

  • S. Alex Yang

    (London Business School, London NW1 4SA, United Kingdom)

  • Yuxuan Zhang

    (School of Information Technology and Management, University of International Business and Economics, Beijing 100029, China)

Abstract

Problem definition : The paper focuses on an innovative bank-intermediated trade finance contract, which we call dynamic trade finance (DTF, under which banks dynamically adjust loan interest rates as an order passes through different steps in the trade process). We examine the value of DTF, the impact of process uncertainties, and the associated information frictions on this value and the strategic interaction between DTF and FinTech. Academic/practical relevance : As more than 30% of global trade involves bank-intermediated trade finance, examining contract innovation in trade finance (DTF) and its strategic interaction with FinTech is of practical importance. Also, analyzing trade finance in the presence of process dynamics and information frictions complements the existing academic literature. Methodology : We construct a parsimonious model of a supply chain process consisting of two steps. The duration of each step is uncertain, and the process may fail at either step. Information delay may also occur when verifying the process passing a step. The seller borrows from a bank to finance this two-step process either through uniform financing (the interest rate remains constant throughout the process) or DTF (the interest rates are adjusted according to a precommitted schedule as the process passes each step). When lending, the bank faces a regulatory capital requirement (the bank is required to hold capital reserve when issuing risky loans) or information asymmetry (the seller/borrower possesses more accurate information about the trade process than the bank). Results : The value of DTF lies in its ability to reduce transactional deadweight loss (under the regulatory capital requirement) and screening (separate high-quality borrowers from the low-quality ones under information asymmetry). This value is greater for more reliable or lengthier trade processes, yet DTF’s ability to screen is stronger when the process is less reliable. The severity of information delay hurts the value of DTF convexly. FinTech that expedites information transmission and verification and enables automatic execution complements DTF, and those that segment customers more efficiently could substitute DTF. Managerial implications : Our results shed light on how the underlying trade process dynamics and the type of information frictions involved affect the optimal deployment of contract innovations (DTF) and FinTech in trade finance.

Suggested Citation

  • Hau Lee & Christopher Tang & S. Alex Yang & Yuxuan Zhang, 2023. "Dynamic Trade Finance in the Presence of Information Frictions and FinTech," Manufacturing & Service Operations Management, INFORMS, vol. 25(6), pages 2038-2055, November.
    • Handle: RePEc:inm:ormsom:v:25:y:2023:i:6:p:2038-2055
    DOI: 10.1287/msom.2022.1102
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    References listed on IDEAS

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