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Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection. [PDF]
Awad SS +3 more
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Editorial: Reimagining roles and identity in the era of human - AI collaboration, volume II. [PDF]
Chen X, Wen I, Qu Q, Chen W.
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Group model-building approach to understand the dynamics and identifying entry points to build resilience in the groundnut value chain in Senegal. [PDF]
Kumar S +7 more
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Breast RT microcalcifications: a stress test for trainee-led magnetic-seed lumpectomy. [PDF]
Zhang X, Wang Z.
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Trade Credit and Relationships
SSRN Electronic Journal, 2023Most domestic and international firm-to-firm transactions rely on trade credit, where sellers grant buyers time to pay the invoice after delivery. Exploiting Chilean and Colombian transaction-level trade data, this paper documents new facts about trade credit use: trade credit use increases with firm-to-firm relationship length, an effect that is ...
Felipe Benguria +2 more
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We employ a novel data set on almost 30,000 trade credit contracts to describe the broad characteristics of the parties that contract together and the key terms of these contracts. Whereas prior work has typically used information on only one side of the buyer-seller transaction, we utilize information on both, allowing for the first analysis of buyer ...
Klapper, Leora +2 more
openaire +4 more sources
Trade credit contracts: Design and regulation
This paper provides a theoretical analysis of trade credit within a real options framework. We show that under trade credit the buyer delays the decision to stop production, getting closer to the supply chain optimal stopping decision. Therefore, trade credit may serve as a coordination device.
Franck Moraux, Florina Silaghi
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