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Victoria Nuguer

Researcher at Bank of Mexico

Publications -  19
Citations -  129

Victoria Nuguer is an academic researcher from Bank of Mexico. The author has contributed to research in topics: Emerging markets & Latin Americans. The author has an hindex of 6, co-authored 9 publications receiving 113 citations. Previous affiliations of Victoria Nuguer include École Polytechnique Fédérale de Lausanne & Inter-American Development Bank.

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MonographDOI

Financial Intermediation in a Global Environment

TL;DR: In this paper, a two-country DSGE model with global banks was developed to capture the international transmission of a nancial crisis through the balance sheet of the global banks as well as explain the insurance mechanism of the international asset market.
Posted Content

Financial Intermediation in a Global Environment

TL;DR: In this article, the authors developed a two-country DSGE model with global banks (financial intermediaries in one country lend to banks in the other country), where banks are financially constrained on how much they can borrow from households.
Posted Content

Tight Money-Tight Credit: Coordination Failure in the Conduct of Monetary and Financial Policies

TL;DR: This article showed that violations of Tinbergen's Rule and strategic interaction between economic authorities undermine the effectiveness of monetary and financial policies in a New Keynesian model with the BGG accelerator and risk shocks.
Journal ArticleDOI

Risky banks and macro-prudential policy for emerging economies

TL;DR: The authors developed a two-country DSGE model with financial intermediaries to analyze the role of cross-border bank flows in the transmission of a U.S. bank's balance sheet shock to emerging market economies.
Journal ArticleDOI

Mortgage default in an estimated model of the U.S. housing market

TL;DR: In this paper, the authors modeled the housing sector, mortgages and endogenous default in a DSGE setting with nominal and real rigidities, and used data for the period 1981-2006 to estimate their model using Bayesian techniques.