Anticipating Credit Events Using Credit Default Swaps, with An Application to Sovereign Debt Crises

Anticipating Credit Events Using Credit Default Swaps, with An Application to Sovereign Debt Crises PDF Author: Mr.Jorge A. Chan-Lau
Publisher: International Monetary Fund
ISBN: 1451852916
Category : Business & Economics
Languages : en
Pages : 21

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Book Description
In reduced-form pricing models, it is usual to assume a fixed recovery rate to obtain the probability of default from credit default swap prices. An alternative credit risk measure is proposed here: the maximum recovery rate compatible with observed prices. The analysis of the recent debt crisis in Argentina using this methodology shows that the correlation between the maximum recovery rate and implied default probabilities turns negative in advance of the credit event realization. This empirical finding suggests that the maximum recovery rate can be used for constructing early warning indicators of financial distress.

Anticipating Credit Events Using Credit Default Swaps, with An Application to Sovereign Debt Crises

Anticipating Credit Events Using Credit Default Swaps, with An Application to Sovereign Debt Crises PDF Author: Mr.Jorge A. Chan-Lau
Publisher: International Monetary Fund
ISBN: 1451852916
Category : Business & Economics
Languages : en
Pages : 21

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Book Description
In reduced-form pricing models, it is usual to assume a fixed recovery rate to obtain the probability of default from credit default swap prices. An alternative credit risk measure is proposed here: the maximum recovery rate compatible with observed prices. The analysis of the recent debt crisis in Argentina using this methodology shows that the correlation between the maximum recovery rate and implied default probabilities turns negative in advance of the credit event realization. This empirical finding suggests that the maximum recovery rate can be used for constructing early warning indicators of financial distress.

Anticipating Credit Events Using Credit Default Swaps

Anticipating Credit Events Using Credit Default Swaps PDF Author: Jorge A. Chan-Lau
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
In reduced-form pricing models, it is usual to assume a fixed recovery rate to obtain the probability of default from credit default swap prices. An alternative credit risk measure is proposed here: the maximum recovery rate compatible with observed prices. The analysis of the recent debt crisis in Argentina using this methodology shows that the correlation between the maximum recovery rate and implied default probabilities turns negative in advance of the credit event realization. This empirical finding suggests that the maximum recovery rate can be used for constructing early warning indicators of financial distress.

Credit Default Swaps

Credit Default Swaps PDF Author: Marti Subrahmanyam
Publisher: Now Publishers
ISBN: 9781601989000
Category : Business & Economics
Languages : en
Pages : 150

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Book Description
Credit Default Swaps: A Survey is the most comprehensive review of all major research domains involving credit default swaps (CDS). CDS have been growing in importance in the global financial markets. However, their role has been hotly debated, in industry and academia, particularly since the credit crisis of 2007-2009. The authors review the extant literature on CDS that has accumulated over the past two decades and divide the survey into seven topics after providing a broad overview in the introduction. The second section traces the historical development of CDS markets and provides an introduction to CDS contract definitions and conventions. The third section discusses the pricing of CDS, from the perspective of no-arbitrage principles, structural, and reduced-form credit risk models. It also summarizes the literature on the determinants of CDS spreads, with a focus on the role of fundamental credit risk factors, liquidity and counterparty risk. The fourth section discusses how the development of the CDS market has affected the characteristics of the bond and equity markets, with an emphasis on market efficiency, price discovery, information flow, and liquidity. Attention is also paid to the CDS-bond basis, the wedge between the pricing of the CDS and its reference bond, and the mispricing between the CDS and the equity market. The fifth section examines the effect of CDS trading on firms' credit and bankruptcy risk, and how it affects corporate financial policy, including bond issuance, capital structure, liquidity management, and corporate governance. The sixth section analyzes how CDS impact the economic incentives of financial intermediaries. The seventh section reviews the growing literature on sovereign CDS and highlights the major differences between the sovereign and corporate CDS markets. The eighth section discusses CDS indices, especially the role of synthetic CDS index products backed by residential mortgage-backed securities during the financial crisis. The authors close with our suggestions for promising future research directions on CDS contracts and markets.

Anticipating Credit Events Using Credit Default Swaps, with an Application to Sovereign Debt Crises

Anticipating Credit Events Using Credit Default Swaps, with an Application to Sovereign Debt Crises PDF Author: Jorge A. Chan-Lau
Publisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 26

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Book Description
In reduced-form pricing models, it is usual to assume a fixed recovery rate to obtain the probability of default from credit default swap prices. An alternative credit risk measure is proposed here: the maximum recovery rate compatible with observed prices. The analysis of the recent debt crisis in Argentina using this methodology shows that the correlation between the maximum recovery rate and implied default probabilities turns negative in advance of the credit event realization. This empirical finding suggests that the maximum recovery rate can be used for constructing early warning indicators of financial distress.

Sovereign Debt Restructurings 1950-2010

Sovereign Debt Restructurings 1950-2010 PDF Author: Mr.Udaibir S. Das
Publisher: International Monetary Fund
ISBN: 1475505531
Category : Business & Economics
Languages : en
Pages : 128

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Book Description
This paper provides a comprehensive survey of pertinent issues on sovereign debt restructurings, based on a newly constructed database. This is the first complete dataset of sovereign restructuring cases, covering the six decades from 1950–2010; it includes 186 debt exchanges with foreign banks and bondholders, and 447 bilateral debt agreements with the Paris Club. We present new stylized facts on the outcome and process of debt restructurings, including on the size of haircuts, creditor participation, and legal aspects. In addition, the paper summarizes the relevant empirical literature, analyzes recent restructuring episodes, and discusses ongoing debates on crisis resolution mechanisms, credit default swaps, and the role of collective action clauses.

Managing the Sovereign-Bank Nexus

Managing the Sovereign-Bank Nexus PDF Author: Mr.Giovanni Dell'Ariccia
Publisher: International Monetary Fund
ISBN: 1484359623
Category : Business & Economics
Languages : en
Pages : 54

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Book Description
This paper reviews empirical and theoretical work on the links between banks and their governments (the bank-sovereign nexus). How significant is this nexus? What do we know about it? To what extent is it a source of concern? What is the role of policy intervention? The paper concludes with a review of recent policy proposals.

Credit Risk

Credit Risk PDF Author: Niklas Wagner
Publisher: CRC Press
ISBN: 1584889950
Category : Business & Economics
Languages : en
Pages : 600

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Book Description
Featuring contributions from leading international academics and practitioners, Credit Risk: Models, Derivatives, and Management illustrates how a risk management system can be implemented through an understanding of portfolio credit risks, a set of suitable models, and the derivation of reliable empirical results. Divided into six sectio

Completing the Market: Generating Shadow CDS Spreads by Machine Learning

Completing the Market: Generating Shadow CDS Spreads by Machine Learning PDF Author: Nan Hu
Publisher: International Monetary Fund
ISBN: 1513524089
Category : Business & Economics
Languages : en
Pages : 37

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Book Description
We compared the predictive performance of a series of machine learning and traditional methods for monthly CDS spreads, using firms’ accounting-based, market-based and macroeconomics variables for a time period of 2006 to 2016. We find that ensemble machine learning methods (Bagging, Gradient Boosting and Random Forest) strongly outperform other estimators, and Bagging particularly stands out in terms of accuracy. Traditional credit risk models using OLS techniques have the lowest out-of-sample prediction accuracy. The results suggest that the non-linear machine learning methods, especially the ensemble methods, add considerable value to existent credit risk prediction accuracy and enable CDS shadow pricing for companies missing those securities.

The Financial Crisis Inquiry Report, Authorized Edition

The Financial Crisis Inquiry Report, Authorized Edition PDF Author: United States. Financial Crisis Inquiry Commission
Publisher: Public Affairs
ISBN: 1610390415
Category : Business & Economics
Languages : en
Pages : 578

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Book Description
Examines the causes of the financial crisis that began in 2008 and reveals the weaknesses found in financial regulation, excessive borrowing, and breaches in accountability.

The Fundamental Determinants of Credit Default Risk for European Large Complex Financial Institutions

The Fundamental Determinants of Credit Default Risk for European Large Complex Financial Institutions PDF Author: Jiri Podpiera
Publisher: International Monetary Fund
ISBN: 1455200573
Category : Business & Economics
Languages : en
Pages : 34

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Book Description
This paper attempts to identify the fundamental variables that drive the credit default swaps during the initial phase of distress in selected European Large Complex Financial Institutions (LCFIs). It uses yearly data over 2004 - 08 for 29 European LCFIs. The results from a dynamic panel data estimator show that LCFIs’ business models, earnings potential, and economic uncertainty (represented by market expectations about the future risks of a particular LCFI and market views on prospects for economic growth) are among the most significant determinants of credit risk. The findings of the paper are broadly consistent with those of the literature on bank failure, where the determinants of the latter include the entire CAMELS structure - that is, Capital Adequacy, Asset Quality, Management Quality, Earnings Potential, Liquidity, and Sensitivity to Market Risk. By establishing a link between the financial and market fundamentals of LCFIs and their CDS spreads, the paper offers a potential tool for fundamentals-based vulnerability and early warning system for LCFIs.