2016
DOI: 10.3386/w22270
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The Costs of Sovereign Default: Evidence from Argentina

Abstract: for helpful conversations. We thank John Leahy and three anonymous referees for comments that helped improve the paper. We thank Vivian Yue, Andreas Stathopoulos, and Graciela Kaminsky for excellent discussions. We thank Brent Neiman for feedback and for generously sharing data. We thank various seminar and conference audiences. We thank Stephen King, Vivek Anand, and Tom Adney of Markit for useful discussions about the data. Christine Rivera provided excellent research assistance. All errors are our own. The … Show more

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Cited by 47 publications
(52 citation statements)
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“…Hebert and Schreger (2016) cleverly exploit the rulings in the case Republic of Argentina v. NML Capital as exogenous variation of sovereign risk and document large negative effects of sovereign risk on Argentinian stock returns. Bahaj (2019) uses a narrative high-frequency approach to identify plausibly exogenous variation in sovereign risk.…”
mentioning
confidence: 99%
“…Hebert and Schreger (2016) cleverly exploit the rulings in the case Republic of Argentina v. NML Capital as exogenous variation of sovereign risk and document large negative effects of sovereign risk on Argentinian stock returns. Bahaj (2019) uses a narrative high-frequency approach to identify plausibly exogenous variation in sovereign risk.…”
mentioning
confidence: 99%
“…Last, our paper belongs in the literature started by Manova (2012), Mendoza and Yue (2012), and Gopinath and Neiman (2014) who study the amplification effects of financial crises and sovereign defaults via a restriction on trade flows. 7 In a recent paper, Hébert and Schreger (2017) estimate empirically the costs of a sovereign default. They use United States court rulings against the Argentine government to identify exogenous default shocks and document the negative effect of default on the value of the small set of Argentine publicly traded firms.…”
Section: Literature Reviewmentioning
confidence: 99%
“…As a result, we will present our bootstrap confidence intervals in part (b). Hébert and Schreger (2016), we implement the bootstrap procedure by Horowitz (2001) to calculate confidence intervals. This robustness check is especially important for the results of high-yield bonds because they are not normally distributed, as shown in part (a).…”
Section: Appendix B: Dealing With the Small Sample Problemmentioning
confidence: 99%