1.

Record Nr.

UNINA9910826870503321

Autore

Santos Andre

Titolo

Currency Mismatches and Corporate Default Risk : : Modeling, Measurement, and Surveillance Applications / / Andre Santos, Jorge Chan-Lau

Pubbl/distr/stampa

Washington, D.C. : , : International Monetary Fund, , 2006

ISBN

1-4623-4273-6

1-4527-7435-8

1-283-51638-1

9786613828835

1-4519-0982-9

Edizione

[1st ed.]

Descrizione fisica

1 online resource (32 p.)

Collana

IMF Working Papers

Altri autori (Persone)

Chan-LauJorge

Soggetti

Corporations - Finance

Default (Finance)

Exports and Imports

Finance: General

Financial Risk Management

Foreign Exchange

Money and Monetary Policy

International Financial Markets

General Financial Markets: Government Policy and Regulation

Monetary Systems

Standards

Regimes

Government and the Monetary System

Payment Systems

International Lending and Debt Problems

Finance

Monetary economics

International economics

Currency

Foreign exchange

Asset valuation

Currency mismatches

Currencies

Debt default

Exchange rates



Asset-liability management

Financial risk management

Money

Debts, External

Argentina

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"December 2006."

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

""Contents""; ""I. INTRODUCTION""; ""II. WHY DO CURRENCY MISMATCHES MATTER?""; ""III. THE STRUCTURAL APPROACH TO DEFAULT RISK""; ""IV. THE DIFUSSION MODEL""; ""V. THE JUMP-DIFFUSION MODEL""; ""VI. THE DOUBLE EXPONENTIAL JUMP-DIFFUSION MODEL""; ""VII. SURVEILLANCE APPLICATIONS""; ""VIII. CONCLUSIONS""; ""REFERENCES""

Sommario/riassunto

Currency mismatches in corporate balance sheets have been singled out as an important factor underlying the severity of recent financial crises. We propose several structural models for measuring default risk for firms with currency mismatches in their asset/liability structure. The proposed models can be adapted to different exchange rate regimes, are analytically tractable, and can be estimated using available equity price and balance sheet data. The paper provides a detailed explanation on how to calibrate the models and discusses two applications to financial surveillance: the measurement of systematic risk in the corporate sector and the estimation of prudential leverage ratios consistent with regulatory capital ratios in the banking sector.