An Empirical Comparison of Credit Spreads Between the Bond Market and the Credit Default Swap Market

An Empirical Comparison of Credit Spreads Between the Bond Market and the Credit Default Swap Market PDF Author: Haibin Zhu
Publisher:
ISBN:
Category : Bond market
Languages : en
Pages : 40

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An Empirical Comparison of Credit Spreads Between the Bond Market and the Credit Default Swap Market

An Empirical Comparison of Credit Spreads Between the Bond Market and the Credit Default Swap Market PDF Author: Haibin Zhu
Publisher:
ISBN:
Category : Bond market
Languages : en
Pages : 40

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Book Description


Credit Derivatives Pricing Models

Credit Derivatives Pricing Models PDF Author: Philipp J. Schönbucher
Publisher: John Wiley & Sons
ISBN: 0470868171
Category : Business & Economics
Languages : en
Pages : 396

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Book Description
The credit derivatives market is booming and, for the first time, expanding into the banking sector which previously has had very little exposure to quantitative modeling. This phenomenon has forced a large number of professionals to confront this issue for the first time. Credit Derivatives Pricing Models provides an extremely comprehensive overview of the most current areas in credit risk modeling as applied to the pricing of credit derivatives. As one of the first books to uniquely focus on pricing, this title is also an excellent complement to other books on the application of credit derivatives. Based on proven techniques that have been tested time and again, this comprehensive resource provides readers with the knowledge and guidance to effectively use credit derivatives pricing models. Filled with relevant examples that are applied to real-world pricing problems, Credit Derivatives Pricing Models paves a clear path for a better understanding of this complex issue. Dr. Philipp J. Schönbucher is a professor at the Swiss Federal Institute of Technology (ETH), Zurich, and has degrees in mathematics from Oxford University and a PhD in economics from Bonn University. He has taught various training courses organized by ICM and CIFT, and lectured at risk conferences for practitioners on credit derivatives pricing, credit risk modeling, and implementation.

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.

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

SEC Docket

SEC Docket PDF Author: United States. Securities and Exchange Commission
Publisher:
ISBN:
Category : Securities
Languages : en
Pages : 1198

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Book Description


Credit Default Swap Spreads and Variance Risk Premia (VRP)

Credit Default Swap Spreads and Variance Risk Premia (VRP) PDF Author: Hao Wang
Publisher: DIANE Publishing
ISBN: 1437980163
Category : Reference
Languages : en
Pages : 43

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Book Description


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.

Credit Default Swaps

Credit Default Swaps PDF Author: Christopher L. Culp
Publisher: Springer
ISBN: 3319930761
Category : Business & Economics
Languages : en
Pages : 356

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Book Description
This book, unique in its composition, reviews the academic empirical literature on how CDSs actually work in practice, including during distressed times of market crises. It also discusses the mechanics of single-name and index CDSs, the theoretical costs and benefits of CDSs, as well as comprehensively summarizes the empirical evidence on important aspects of these instruments of risk transfer. Full-time academics, researchers at financial institutions, and students will benefit from the dispassionate and comprehensive summary of the academic literature; they can read this book instead of identifying, collecting, and reading the hundreds of academic articles on the important subject of credit risk transfer using derivatives and benefit from the synthesis of the literature provided.

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.

Technology and Financial Crisis: Economical and Analytical Views

Technology and Financial Crisis: Economical and Analytical Views PDF Author: Koyuncugil, Ali Serhan
Publisher: IGI Global
ISBN: 1466630078
Category : Business & Economics
Languages : en
Pages : 321

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Book Description
Rapid improvements and constant advancements in information technology have inevitably lead to significant changes for businesses across the globe. As a result, some of these large shifts have unfortunately ended in major financial crises. Technology and Financial Crisis: Economical and Analytical Views investigates financial crises from unique points of view. Not only does this publication consider the broader economical implications that a financial crisis can have on one business or on a whole country, but it also thoroughly discusses the smaller areas which are affected or contribute to the downfall. This book is intended to be of use to the public sector, researchers, practitioners, and educators who are interested in the affects of a financial crises and possible ways to reduce such large scale problems in the future.