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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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BLOCKCHAIN-ENABLED REAL-TIME SETTLEMENT FRAMEWORK FOR FEDNOW AND INSTANT PAYMENT NETWORKS

Authors: Vikas Reddy Mandadhi;

BLOCKCHAIN-ENABLED REAL-TIME SETTLEMENT FRAMEWORK FOR FEDNOW AND INSTANT PAYMENT NETWORKS

Abstract

The rapid expansion of real-time payment networks—such as FedNow, the RTP network, and other instantsettlement infrastructures—has accelerated the pace of financial transactions but exposed structural limitationsin the underlying settlement processes. Current systems primarily rely on prefunded accounts, end-of-dayreconciliation, or deferred transfers of central bank reserves, creating liquidity fragmentation, intraday creditexposure, and operational inefficiencies. As transaction volumes grow and financial institutions demandcontinuous 24/7 settlement, these constraints inhibit scalability, resilience, and competition.This paper proposes a Blockchain-Enabled Real-Time Settlement Framework designed to enhance thesettlement capabilities of FedNow and other instant payment ecosystems. The framework leverages apermissioned distributed ledger to provide immutable, cryptographically verifiable, and atomic settlementfinality, while maintaining strict regulatory oversight and interoperability with existing payment rails. Byrepresenting central bank reserves or interbank settlement obligations as on-chain, regulator-supervised digitaltokens, institutions gain the ability to settle transactions instantly with reduced prefunding requirements andimproved liquidity efficiency

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green