nep-ifn New Economics Papers
on International Finance
Issue of 2016‒09‒25
three papers chosen by
Vimal Balasubramaniam
University of Oxford

  1. International Banking and Cross-border Effects of Regulation: Lessons from the United States By Jose Berrospide; Ricardo Correa; Linda Goldberg; Friederike Niepmann
  2. How Quantitative Easing Works: Evidence on the Refinancing Channel By Marco Di Maggio; Amir Kermani; Christopher Palmer
  3. Spatial Dependence and Data-Driven Networks of International Banks By Ben Craig; Martín Saldías

  1. By: Jose Berrospide; Ricardo Correa; Linda Goldberg; Friederike Niepmann
    Abstract: Domestic prudential regulation can have unintended effects across borders and may be less effective in an environment where banks operate globally. Using U.S. micro-banking data for the first quarter of 2000 through the third quarter of 2013, this study shows that some regulatory changes indeed spill over. First, a foreign country’s tightening of limits on loan-to-value ratios and local currency reserve requirements increase lending growth in the United States through the U.S. branches and subsidiaries of foreign banks. Second, a foreign tightening of capital requirements shifts lending by U.S. global banks away from the country where the tightening occurs to the United States and to other countries. Third, tighter U.S. capital regulation reduces lending by large U.S. global banks to foreign residents.
    JEL: F3 F4 G15 G21
    Date: 2016–09
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:22645&r=ifn
  2. By: Marco Di Maggio; Amir Kermani; Christopher Palmer
    Abstract: Despite massive large-scale asset purchases (LSAPs) by central banks around the world since the global financial crisis, there is a lack of empirical evidence on whether and how these programs affect the real economy. Using rich borrower-linked mortgage-market data, we document that there is a “flypaper effect” of LSAPs, where the transmission of unconventional monetary policy to interest rates and (more importantly) origination volumes depends crucially on the assets purchased and degree of segmentation in the market. For example, QE1, which involved significant purchases of GSE-guaranteed mortgages, increased GSE-eligible mortgage originations significantly more than the origination of GSE-ineligible mortgages. In contrast, QE2's focus on purchasing Treasuries did not have such differential effects. We find that the Fed's purchase of MBS (rather than exclusively Treasuries) during QE1 resulted in an additional $600 billion of refinancing, substantially reduced interest payments for refinancing households, led to a boom in equity extraction, and increased refinancing mortgagors’ consumption by an additional $76 billion. This de facto allocation of credit across mortgage market segments, combined with sharp bunching around GSE eligibility cutoffs, establishes an important complementarity between monetary policy and macroprudential housing policy. Our counterfactual simulations estimate that relaxing GSE eligibility requirements would have significantly increased refinancing activity in response to QE1, including a 20% increase in equity extraction by households. Overall, our results imply that central banks could most effectively provide unconventional monetary stimulus by supporting the origination of debt that would not be originated otherwise.
    JEL: E21 E58 E65 G01 G18 G21 R28
    Date: 2016–09
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:22638&r=ifn
  3. By: Ben Craig; Martín Saldías
    Abstract: This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to select the significant bilateral correlations. The analysis of topological characteristics of the resulting correlation networks shows many common features that have been documented in the recent literature but were obtained with private information on banks' exposures, including rich and hierarchical structures, based on but not limited to geographical proximity, small world features, regional homophily, and a core-periphery structure.
    Keywords: International banks;International banking;Econometric models;Time series;Network analysis, spatial dependence, banking.
    Date: 2016–09–15
    URL: http://d.repec.org/n?u=RePEc:imf:imfwpa:16/184&r=ifn

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