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.
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: 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.
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
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.
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, published by the U.S. Government and the Financial Crisis Inquiry Commission in early 2011, is the official government report on the United States financial collapse and the review of major financial institutions that bankrupted and failed, or would have without help from the government. The commission and the report were implemented after Congress passed an act in 2009 to review and prevent fraudulent activity. The report details, among other things, the periods before, during, and after the crisis, what led up to it, and analyses of subprime mortgage lending, credit expansion and banking policies, the collapse of companies like Fannie Mae and Freddie Mac, and the federal bailouts of Lehman and AIG. It also discusses the aftermath of the fallout and our current state. This report should be of interest to anyone concerned about the financial situation in the U.S. and around the world.THE FINANCIAL CRISIS INQUIRY COMMISSION is an independent, bi-partisan, government-appointed panel of 10 people that was created to "examine the causes, domestic and global, of the current financial and economic crisis in the United States." It was established as part of the Fraud Enforcement and Recovery Act of 2009. The commission consisted of private citizens with expertise in economics and finance, banking, housing, market regulation, and consumer protection. They examined and reported on "the collapse of major financial institutions that failed or would have failed if not for exceptional assistance from the government."News Dissector DANNY SCHECHTER is a journalist, blogger and filmmaker. He has been reporting on economic crises since the 1980's when he was with ABC News. His film In Debt We Trust warned of the economic meltdown in 2006. He has since written three books on the subject including Plunder: Investigating Our Economic Calamity (Cosimo Books, 2008), and The Crime Of Our Time: Why Wall Street Is Not Too Big to Jail (Disinfo Books, 2011), a companion to his latest film Plunder The Crime Of Our Time. He can be reached online at www.newsdissector.com.
Originally written for a conference of the Federal Reserve, Gary Gorton's "The Panic of 2007" garnered enormous attention and is considered by many to be the most convincing take on the recent economic meltdown. Now, in Slapped by the Invisible Hand, Gorton builds upon this seminal work, explaining how the securitized-banking system, the nexus of financial markets and instruments unknown to most people, stands at the heart of the financial crisis. Gorton shows that the Panic of 2007 was not so different from the Panics of 1907 or of 1893, except that, in 2007, most people had never heard of the markets that were involved, didn't know how they worked, or what their purposes were. Terms like subprime mortgage, asset-backed commercial paper conduit, structured investment vehicle, credit derivative, securitization, or repo market were meaningless. In this superb volume, Gorton makes all of this crystal clear. He shows that the securitized banking system is, in fact, a real banking system, allowing institutional investors and firms to make enormous, short-term deposits. But as any banking system, it was vulnerable to a panic. Indeed the events starting in August 2007 can best be understood not as a retail panic involving individuals, but as a wholesale panic involving institutions, where large financial firms "ran" on other financial firms, making the system insolvent. An authority on banking panics, Gorton is the ideal person to explain the financial calamity of 2007. Indeed, as the crisis unfolded, he was working inside an institution that played a central role in the collapse. Thus, this book presents the unparalleled and invaluable perspective of a top scholar who was also a key insider.
This book presents recent research on robustness in econometrics. Robust data processing techniques – i.e., techniques that yield results minimally affected by outliers – and their applications to real-life economic and financial situations are the main focus of this book. The book also discusses applications of more traditional statistical techniques to econometric problems. Econometrics is a branch of economics that uses mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. In day-by-day data, we often encounter outliers that do not reflect the long-term economic trends, e.g., unexpected and abrupt fluctuations. As such, it is important to develop robust data processing techniques that can accommodate these fluctuations.
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.
