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Pricing in the online invoice trading market: First empirical evidence

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  • Dorfleitner, Gregor
  • Rad, Jacqueline
  • Weber, Martina

Abstract

In recent years, online invoice trading has gained importance in providing SMEs with short-term financing. In this paper, we present first empirical evidence concerning the question whether the risk of payment difficulties is appropriately reflected in the pricing variables. To this end, we investigate predictors of default of online invoice trading platforms. We analyze both the probability of default and the loss rate and find that the interest rate, the duration and the percentage funded have good predictive power. Furthermore, we show that the pricing mechanism (auction vs. fixed prices) helps to explain defaults on online invoice trading platforms.

Suggested Citation

  • Dorfleitner, Gregor & Rad, Jacqueline & Weber, Martina, 2017. "Pricing in the online invoice trading market: First empirical evidence," Economics Letters, Elsevier, vol. 161(C), pages 56-61.
    • Handle: RePEc:eee:ecolet:v:161:y:2017:i:c:p:56-61
    DOI: 10.1016/j.econlet.2017.09.020
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    References listed on IDEAS

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    1. Khaled Soufani, 2002. "The decision to finance account receivables: the factoring option," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 23(1), pages 21-32.
    2. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    3. Klapper, Leora, 2006. "The role of factoring for financing small and medium enterprises," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 3111-3130, November.
    4. Chen, Ning & Ghosh, Arpita & Lambert, Nicolas S., 2014. "Auctions for social lending: A theoretical analysis," Games and Economic Behavior, Elsevier, vol. 86(C), pages 367-391.
    5. Dorfleitner, Gregor & Priberny, Christopher & Schuster, Stephanie & Stoiber, Johannes & Weber, Martina & de Castro, Ivan & Kammler, Julia, 2016. "Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 169-187.
    6. Julian Franks & Nicolas Serrano-Velarde & Oren Sussman & Itay Goldstein, 0. "Marketplace Lending, Information Aggregation, and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 34(5), pages 2318-2361.
    7. Wang, Ruqu, 1993. "Auctions versus Posted-Price Selling," American Economic Review, American Economic Association, vol. 83(4), pages 838-851, September.
    8. Riza Emekter & Yanbin Tu & Benjamas Jirasakuldech & Min Lu, 2015. "Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 54-70, January.
    9. Mingfeng Lin & Nagpurnanand R. Prabhala & Siva Viswanathan, 2013. "Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 59(1), pages 17-35, August.
    10. Hammond, Robert G., 2013. "A structural model of competing sellers: Auctions and posted prices," European Economic Review, Elsevier, vol. 60(C), pages 52-68.
    11. Soufani, Khaled, 2002. "On the determinants of factoring as a financing choice: evidence from the UK," Journal of Economics and Business, Elsevier, vol. 54(2), pages 239-252.
    12. Jefferson Duarte & Stephan Siegel & Lance Young, 2012. "Trust and Credit: The Role of Appearance in Peer-to-peer Lending," The Review of Financial Studies, Society for Financial Studies, vol. 25(8), pages 2455-2484.
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