2012
DOI: 10.2139/ssrn.2132418
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Trade Credit and the Propagation of Corporate Failure: An Empirical Analysis

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 38 publications
(48 citation statements)
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“…29 Alternatively, trade credit may also explain upstream propagation of financial shocks if debtor (customer) failure triggers supplier's losses through both credit losses and demand shrinkage (see for instance Jacobson and Schedvin (2015)). However, we focus here in downstream propagation because our evidence for upstream effects is rather mixed.…”
Section: The Role Of Price Adjustments and Propagation In General Equmentioning
confidence: 99%
See 1 more Smart Citation
“…29 Alternatively, trade credit may also explain upstream propagation of financial shocks if debtor (customer) failure triggers supplier's losses through both credit losses and demand shrinkage (see for instance Jacobson and Schedvin (2015)). However, we focus here in downstream propagation because our evidence for upstream effects is rather mixed.…”
Section: The Role Of Price Adjustments and Propagation In General Equmentioning
confidence: 99%
“…Turning to the mechanisms explaining propagation of financial shocks through buyer-seller relations, Costello (2017) documents that firms with greater exposure to a large decline in bank lending reduced the trade credit extended to their customers resulting in negative effects on their real outcomes. Trade credit may also explain upstream propagation of financial shocks if debtor (customer) failure triggers supplier's losses through both credit losses and demand shrinkage (see for instance Jacobson and Schedvin (2015)). While we provide evidence in favor of the downstream propagation mechanism in Costello (2017), it does not explain the whole effect of our estimates.…”
Section: Introductionmentioning
confidence: 99%
“…Most of these references have developed theoretical models and studied under which conditions local failures can result in avalanches of shortage and failures across the network (Delli Gatti et al ., ; Weisbuch and Battiston, ). Some empirical studies have focused on testing the trade credit propagation hypothesis, exploring whether firms that issue more trade credit are more likely to experience a debtor failure (Jacobson et al ., ; Jacobson and von Schedvin, ). Few recent studies have considered incorporating information on firms’ interdependence in a default prediction model.…”
Section: Background Literature On Credit Risk Models For Small and Mementioning
confidence: 99%
“…Such credit risk contagion may be amplified by the use of trade credit, which allows the purchase of products and services without immediate cash payment, potentially leading to non‐payments by trade debtors (Bradley and Rubach, ). In a networked economy, the failure of one firm can have a snowball effect, causing failure of other companies, and in extreme cases causing an avalanche of failures, known as a bankruptcy chain (Delli Gatti et al ., ; Jacobson and von Schedvin, ). Hurd () provided an exposition on mathematical stochastic models of contagion and cascades in the context of systemic risk and recent work proposes models that are specific to the case of credit risk (Petrone and Latora, ).…”
Section: Introductionmentioning
confidence: 99%
“…This corresponds to the standard input-output channel represented by the blue arrow. 31 In the absence of the credit linkage channel of transmission, firms in the utilities industry will remain largely However, the shock causes petroleum and coal manufacturers to reduce the up front payments they make to their oil and gas suppliers. With tighter financial constraints, these suppliers reduce production, raising the price of oil and gas.…”
Section: A Quantitative Exploration Of the Modelmentioning
confidence: 99%