This article asks whether capital inflows bonanzas increase the probability of banking crises and whether this occurs through a lending boom mechanism. Results indicate that bonanzas more than triple the odds of a crisis, raising its probability to 14% (from an unconditional probability of 4%). This effect exists in the absence of a lending boom and is found in both net and gross inflows bonanzas. This effect is driven by portfolio-equity and debt flows. While the effect of debt is channelled through excessive lending, the effect of portfolio-equity flows is present even in the absence of a lending boom.

work is licensed under a Creative Commons IGO 3.0 AttributionNonCommercial-NoDerivatives (CC-IGO BY-NC-ND 3.0 IGO) license (http://creativecommons.org/licenses/by-nc-nd/3.0/igo/ legalcode) and may be reproduced with attribution to the IDB and for any non-commercial purpose, as provided below. No derivative work is allowed.Any dispute related to the use of the works of the IDB that cannot be settled amicably shall be submitted to arbitration pursuant to the UNCITRAL rules. The use of the IDB's name for any purpose other than for attribution, and the use of IDB's logo shall be subject to a separate written license agreement between the IDB and the user and is not authorized as part of this CC-IGO license.Following a peer review process, and with previous written consent by the Inter-American Development Bank (IDB), a revised version of this work may also be reproduced in any academic journal, including those indexed by the American Economic Association's EconLit, provided that the IDB is credited and that the author(s) receive no income from the publication. Therefore, the restriction to receive income from such publication shall only extend to the publication's author(s). With regard to such restriction, in case of any inconsistency between the Creative Commons IGO 3.0 Attribution-NonCommercial-NoDerivatives license and these statements, the latter shall prevail.Note that link provided above includes additional terms and conditions of the license.The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the Inter-American Development Bank, its Board of Directors, or the countries they represent.http://www.iadb.org 2016 1 Abstract * Recent work suggests non-financial firms have acted like financial intermediaries particularly in emerging economies. This paper corroborates these findings but then asks "why?" The results indicate evidence for carry-trade activities, but they are focused on countries with higher levels of capital controls, particular controls on inflows. There is little evidence for such activities given other potential motives. It is posited that this phenomenon is due more to the reaction of countries in the face of low global interest rates, quantitative easing and strong capital inflows than incomplete markets or the retreat of global banks due to impaired balance sheets or tighter regulations. JEL classifications: E51, F30, F33

This paper shows that bank linkages have a positive effect on international trade. A global banking network (GBN) is constructed at the bank level, using individual syndicated loan data from Loan Analytics for 1990-2007. Network distance between bank pairs is computed and aggregated to country pairs as a measure of bank linkages between countries. Data on bilateral trade from IMF DOTS are used as the subject of the analysis and data on bilateral bank lending from BIS locational data are used to control for financial integration and financial flows. Using a gravity approach to modeling trade with country-pair and year fixed effects, the paper finds that new connections between banks in a given country-pair lead to an increase in trade flow in the following year, even after controlling for the stock and flow of bank lending between the two countries. It is conjectured that the mechanism for this effect is that bank linkages reduce export risk, and four sets of results that support this conjecture are presented.

Any dispute related to the use of the works of the IDB that cannot be settled amicably shall be submitted to arbitration pursuant to the UNCITRAL rules. The use of the IDB's name for any purpose other than for attribution, and the use of IDB's logo shall be subject to a separate written license agreement between the IDB and the user and is not authorized as part of this CC-IGO license. Following a peer review process, and with previous written consent by the Inter-American Development Bank (IDB), a revised version of this work may also be reproduced in any academic journal, including those indexed by the American Economic Association's EconLit, provided that the IDB is credited and that the author(s) receive no income from the publication. Therefore, the restriction to receive income from such publication shall only extend to the publication's author(s). With regard to such restriction, in case of any inconsistency between the Creative Commons IGO 3.0 Attribution-NonCommercial-NoDerivatives license and these statements, the latter shall prevail. Note that link provided above includes additional terms and conditions of the license.

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 der dort genannten Lizenz gewährten Nutzungsrechte. Inter-American Development Bank. This work is licensed under a Creative Commons IGO 3.0 AttributionNonCommercial-NoDerivatives (CC-IGO BY-NC-ND 3.0 IGO) license (http://creativecommons.org/licenses/by-nc-nd/3.0/igo/ legalcode) and may be reproduced with attribution to the IDB and for any non-commercial purpose, as provided below. No derivative work is allowed. Terms of use: Documents inAny dispute related to the use of the works of the IDB that cannot be settled amicably shall be submitted to arbitration pursuant to the UNCITRAL rules. The use of the IDB's name for any purpose other than for attribution, and the use of IDB's logo shall be subject to a separate written license agreement between the IDB and the user and is not authorized as part of this CC-IGO license.Following a peer review process, and with previous written consent by the Inter-American Development Bank (IDB), a revised version of this work may also be reproduced in any academic journal, including those indexed by the American Economic Association's EconLit, provided that the IDB is credited and that the author(s) receive no income from the publication. Therefore, the restriction to receive income from such publication shall only extend to the publication's author(s). With regard to such restriction, in case of any inconsistency between the Creative Commons IGO 3.0 Attribution-NonCommercial-NoDerivatives license and these statements, the latter shall prevail.Note that link provided above includes additional terms and conditions of the license. This paper studies the influence of external financial factors on economic activity in emerging economies (EMEs) motivated by a considerable increase in foreign financing by the corporate sector in EMEs since the early 2000s, mainly in the form of bond issuance. A quarterly external financial indicator for several EMEs is built using bond-level data on spreads of corporate bonds issued in foreign capital markets, and its relationship with economic activity is examined. Results show that the indicator has considerable predictive power on future economic activity. Furthermore, an identified adverse shock to the financial indicator generates a large and protracted fall in real output growth, and about a third of its forecast error variance is associated with this shock. These findings are robust to controlling for possible spillovers from sovereign to corporate risk, among other considerations.JEL classifications: E32, E37, F34, F37, G15