Credit Default Swap
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The Valuation of Credit Default Swap with Counterparty Risk and Collateralization Tim Xiao
The Valuation of Credit Default Swap with Counterparty Risk and Collateralization Tim Xiao To cite this version: Tim Xiao. The Valuation of Credit Default Swap with Counterparty Risk and Collateralization. 2019. hal-02174170 HAL Id: hal-02174170 https://hal.archives-ouvertes.fr/hal-02174170 Preprint submitted on 5 Jul 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. The Valuation of Credit Default Swap with Counterparty Risk and Collateralization Tim Xiao1 ABSTRACT This article presents a new model for valuing a credit default swap (CDS) contract that is affected by multiple credit risks of the buyer, seller and reference entity. We show that default dependency has a significant impact on asset pricing. In fact, correlated default risk is one of the most pervasive threats in financial markets. We also show that a fully collateralized CDS is not equivalent to a risk-free one. In other words, full collateralization cannot eliminate counterparty risk completely in the CDS market. Key Words: valuation model; credit risk modeling; collateralization; correlation, CDS. 1 Email: [email protected] Url: https://finpricing.com/ 1 Introduction There are two primary types of models that attempt to describe default processes in the literature: structural models and reduced-form (or intensity) models. -
Economic Quarterly
Forecasting the Effects of Reduced Defense Spending Peter Irel’and and Chtitopher Omk ’ I. INTRODUCTION $1 cut in defense spending acts to decrease the total demand for goods and services in each period by $1. The end of the Cold War provides the United Of course, so long as the government has access to States with an opportunity to cut its defense the same production technologies that are available spending significantly. Indeed, the Bush Administra- to the private sector, this prediction of the tion’s 1992-1997 Future Years Defense Program neoclassical model does not change if instead the (presented in 1991 and therefore referred to as the government produces the defense services itself.’ “1991 plan”) calls for a 20 percent reduction in real defense spending by 1997. Although expenditures A permanent $1 cut in defense spending also related to Operation Desert Storm have delayed the reduces the government’s need for tax revenue; it implementation of the 199 1 plan, policymakers con- implies that taxes can be cut by $1 in each period. tinue to call for defense cutbacks. In fact, since Bush’s Households, therefore, are wealthier following the plan was drafted prior to the collapse of the Soviet cut in defense spending; their permanent income in- Union, it seems likely that the Clinton Administra- creases by $b1. According to the permanent income tion will propose cuts in defense spending that are hypothesis, this $1 increase in permanent income even deeper than those specified by the 1991 plan. induces households to increase their consumption by This paper draws on both theoretical and empirical $1 in every period, provided that their labor supply economic models to forecast the effects that these does not change. -
Decreto Del Direttore Amministrativo N
Corso di Laurea magistrale (ordinamento ex D.M. 270/2004) in Economia e Finanza Tesi di Laurea Gli strumenti derivati ed il loro utilizzo in azienda: l’importanza di gestirne i vantaggi e le complessità Relatore Prof. Guido Massimiliano Mantovani Laureando Ambra Moschini Matricola:835318 Anno Accademico 2013 / 2014 Sessione straordinaria 2 Indice Indice delle Figure ....................................................................................................................... 6 Indice delle Tavole ...................................................................................................................... 7 Introduzione ................................................................................................................................. 8 Capitolo 1 - Il concetto di rischio ............................................................................................. 11 1.1. Definizione .................................................................................................................. 12 1.2. La percezione del rischio in azienda ........................................................................... 16 1.3. Identificazione delle categorie di rischio .................................................................... 24 1.3.1. Rischi finanziari .................................................................................................. 26 1.3.1.1. Rischio di mercato ............................................................................................... 28 1.3.1.1.1. Rischio di -
Interest-Rate-Growth Differentials and Government Debt Dynamics
From: OECD Journal: Economic Studies Access the journal at: http://dx.doi.org/10.1787/19952856 Interest-rate-growth differentials and government debt dynamics David Turner, Francesca Spinelli Please cite this article as: Turner, David and Francesca Spinelli (2012), “Interest-rate-growth differentials and government debt dynamics”, OECD Journal: Economic Studies, Vol. 2012/1. http://dx.doi.org/10.1787/eco_studies-2012-5k912k0zkhf8 This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. OECD Journal: Economic Studies Volume 2012 © OECD 2013 Interest-rate-growth differentials and government debt dynamics by David Turner and Francesca Spinelli* The differential between the interest rate paid to service government debt and the growth rate of the economy is a key concept in assessing fiscal sustainability. Among OECD economies, this differential was unusually low for much of the last decade compared with the 1980s and the first half of the 1990s. This article investigates the reasons behind this profile using panel estimation on selected OECD economies as means of providing some guidance as to its future development. The results suggest that the fall is partly explained by lower inflation volatility associated with the adoption of monetary policy regimes credibly targeting low inflation, which might be expected to continue. However, the low differential is also partly explained by factors which are likely to be reversed in the future, including very low policy rates, the “global savings glut” and the effect which the European Monetary Union had in reducing long-term interest differentials in the pre-crisis period. -
Log Normal Asset TRS Funding
Liability-side Pricing of Swaps and Coherent CVA and FVA by Regression/Simulation Lou Wujiang1 1st Draft, August 8, 2014. Updated Dec 20, 2015. Abstract An uncollateralized swap hedged back-to-back by a CCP swap is used to introduce FVA. The open IR01 of FVA, however, is a sure sign of risk not being fully hedged, a theoretical no-arbitrage pricing concern, and a bait to lure market risk capital, a practical business concern. By dynamically trading the CCP swap, with the liability-side counterparty provides counterparty exposure hedge and swap funding, we find that the uncollateralized swap can be fully replicated, leaving out no IR01 leakage. The fair value of the swap is obtained by applying to swap’s net cash flows a discount rate switching to counterparty’s bond curve if the swap is a local asset or one’s own curve if a liability, and the total valuation adjustment is the present value of cost of funding the risk-free price discounted at the same switching rate. FVA is redefined as a liquidity or funding basis component of total valuation adjustment, coherent with CVA, the default risk component. A Longstaff-Schwartz style least-square regression and simulation is introduced to compute the recursive fair value and adjustments. A separately developed finite difference scheme is used to test and find regression necessary to decouple the discount rate switch. Preliminary results show the impact of counterparty risk to swap hedge ratios, swap bid/ask spreads, and valuation adjustments, and considerable errors of calculating CVA by discounting cash flow or potential future exposure. -
Credit Default Swap in a Financial Portfolio: Angel Or Devil?
Credit Default Swap in a financial portfolio: angel or devil? A study of the diversification effect of CDS during 2005-2010 Authors: Aliaksandra Vashkevich Hu DongWei Supervisor: Catherine Lions Student Umeå School of Business Spring semester 2010 Master thesis, one-year, 15 hp ACKNOWLEDGEMENT We would like to express our deep gratitude and appreciation to our supervisor Catherine Lions. Your valuable guidance and suggestions have helped us enormously in finalizing this thesis. We would also like to thank Rene Wiedner from Thomson Reuters who provided us with an access to Reuters 3000 Xtra database without which we would not be able to conduct this research. Furthermore, we would like to thank our families for all the love, support and understanding they gave us during the time of writing this thesis. Aliaksandra Vashkevich……………………………………………………Hu Dong Wei Umeå, May 2010 ii SUMMARY Credit derivative market has experienced an exponential growth during the last 10 years with credit default swap (CDS) as an undoubted leader within this group. CDS contract is a bilateral agreement where the seller of the financial instrument provides the buyer the right to get reimbursed in case of the default in exchange for a continuous payment expressed as a CDS spread multiplied by the notional amount of the underlying debt. Originally invented to transfer the credit risk from the risk-averse investor to that one who is more prone to take on an additional risk, recently the instrument has been actively employed by the speculators betting on the financial health of the underlying obligation. It is believed that CDS contributed to the recent turmoil on financial markets and served as a weapon of mass destruction exaggerating the systematic risk. -
Credit Derivatives Handbook
08 February 2007 Fixed Income Research http://www.credit-suisse.com/researchandanalytics Credit Derivatives Handbook Credit Strategy Contributors Ira Jersey +1 212 325 4674 [email protected] Alex Makedon +1 212 538 8340 [email protected] David Lee +1 212 325 6693 [email protected] This is the second edition of our Credit Derivatives Handbook. With the continuous growth of the derivatives market and new participants entering daily, the Handbook has become one of our most requested publications. Our goal is to make this publication as useful and as user friendly as possible, with information to analyze instruments and unique situations arising from market action. Since we first published the Handbook, new innovations have been developed in the credit derivatives market that have gone hand in hand with its exponential growth. New information included in this edition includes CDS Orphaning, Cash Settlement of Single-Name CDS, Variance Swaps, and more. We have broken the information into several convenient sections entitled "Credit Default Swap Products and Evaluation”, “Credit Default Swaptions and Instruments with Optionality”, “Capital Structure Arbitrage”, and “Structure Products: Baskets and Index Tranches.” We hope this publication is useful for those with various levels of experience ranging from novices to long-time practitioners, and we welcome feedback on any topics of interest. FOR IMPORTANT DISCLOSURE INFORMATION relating to analyst certification, the Firm’s rating system, and potential conflicts -
CHARACTERISTICS and RISKS of STANDARDIZED OPTIONS TABLE of CONTENTS Page CHAPTER I—INTRODUCTION
CHARACTERISTICS AND RISKS OF STANDARDIZED OPTIONS February 1994 1997 through 2018 Supplements included BATS Exchange, Inc. 8050 Marshall Drive Lexena, Kansas 66214 C2 OPTIONS EXCHANGE, INCORPORATED 400 South LaSalle Street Chicago, Illinois 60605 CHICAGO BOARD OPTIONS EXCHANGE, INCORPORATED 400 South LaSalle Street Chicago, Illinois 60605 INTERNATIONAL SECURITIES EXCHANGE, LLC 60 Broad Street New York, New York 10004 NASDAQ OMX BX, INC. 101 Arch Street Boston, Massachusetts 02110 NASDAQ OMX PHLX, INC. 1900 Market Street Philadelphia, Pennsylvania 19103 NASDAQ STOCK MARKET, LLC One Liberty Plaza 165 Broadway New York, New York 10006 NYSE AMEX LLC 11 Wall Street New York, New York 10005 NYSE ARCA, INC. 100 South Wacker Drive Chicago, Illinois 60606 ȴ 1994 American Stock Exchange, LLC, Chicago Board Options Exchange, Incorporated, New York Stock Exchange, Inc., NYSE Arca, Inc. and Philadelphia Stock Exchange, Inc. CHARACTERISTICS AND RISKS OF STANDARDIZED OPTIONS TABLE OF CONTENTS Page CHAPTER I—INTRODUCTION .............. 1 CHAPTER II—OPTIONS NOMENCLATURE ...... 5 CHAPTER III—OPTIONS ON EQUITY SECURITIES 18 Features of Stock Options ................. 18 CHAPTER IV—INDEX OPTIONS ............. 23 About Indexes ........................ 23 Features of Index Options ................. 26 CHAPTER V—DEBT OPTIONS .............. 29 Rates, Yields and Prices of Debt Securities ....... 29 Treasury Securities ...................... 31 Yield-Based Options ..................... 32 CHAPTER VI—FOREIGN CURRENCY OPTIONS . 35 Market for Foreign Currencies ............... 36 Special Characteristics of Foreign Currency Options .37 Special Features of Dollar-Denominated Foreign Currency Options ..................... 38 Cross-Rate Foreign Currency Options .......... 41 Special Features of Cross-Rate Options ......... 42 Cash-Settled Foreign Currency Options ......... 43 CHAPTER VII—FLEXIBLY STRUCTURED OPTIONS 45 Special Features of Flexibly Structured Options .... 46 CHAPTER VIII—EXERCISE AND SETTLEMENT . -
United States Securities and Exchange Commission Form
Table of Contents UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 ____________________________________________________________________________ FORM 10-K ý ANNUAL REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the fiscal year ended December 31, 2016 or o TRANSITION REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the transition period from to Commission File No. 0-51754 ____________________________________________________________________________ CROCS, INC. (Exact name of registrant as specified in its charter) Delaware 20-2164234 (State or other jurisdiction of (I.R.S. Employer incorporation or organization) Identification No.) 7477 East Dry Creek Parkway Niwot, Colorado 80503 (303) 848-7000 (Address, including zip code and telephone number, including area code, of registrant's principal executive offices) Securities registered pursuant to Section 12(b) of the Act: Title of each class: Name of each exchange on which registered: Common Stock, par value $0.001 per share The NASDAQ Global Select Market Securities registered pursuant to Section 12(g) of the Act: None ____________________________________________________________________________ Indicate by check mark if the registrant is a well-known seasoned issuer, as defined in Rule 405 of the Securities Act. Yes o No ý Indicate by check mark if the registrant is not required to file reports pursuant to Section 13 or Section 15(d) of the Act. Yes o No ý Indicate by check mark whether the registrant (1) has filed all reports required to be filed by Section 13 or 15(d) of the Securities Exchange Act of 1934 during the preceding 12 months (or for such shorter period that the registrant was required to file such reports), and (2) has been subject to such filing requirements for the past 90 days. -
Corporate Bond Markets: A
Staff Working Paper: [SWP4/2014] Corporate Bond Markets: A Global Perspective Volume 1 April 2014 Staff Working Paper of the IOSCO Research Department Authors: Rohini Tendulkar and Gigi Hancock1 This Staff Working Paper should not be reported as representing the views of IOSCO. The views and opinions expressed in this Staff Working Paper are those of the authors only and do not necessarily reflect the views of the International Organization of Securities Commissions or its members. For further information please contact: [email protected] 1 Rohini Tendulkar is an Economist and Gigi Hancock is an Intern in IOSCO’s Research Department. They would like to thank Werner Bijkerk, Shane Worner and Luca Giordano for their assistance. 1 About this Document The IOSCO Research Department produces research and analysis on a range of securities markets issues, risks and developments. To support these efforts, the IOSCO Research Department undertakes a number of annual information mining exercises including extensive market intelligence in financial centers; risk roundtables with prominent members of industry and regulators; data gathering and analysis; the construction of quantitative risk indicators; a survey on emerging risks to regulators, academics and market participants; and review of the current literature on risks by experts. Developments in corporate bond markets have been flagged a number of times during these exercises. In particular, the lack of data on secondary market trading and, in general, issues in emerging market corporate bond markets, have been highlighted as an obstacle in understanding how securities markets are functioning and growing world-wide. Furthermore, the IOSCO Board has recognized, through establishment of a long-term finance project, the important contribution IOSCO and its members can and do make in ensuring capital markets play a leading role in supporting long term investment in both growth and emerging and developed economies. -
Credit Default Swap Auctions
Federal Reserve Bank of New York Staff Reports Credit Default Swap Auctions Jean Helwege Samuel Maurer Asani Sarkar Yuan Wang Staff Report no. 372 May 2009 This paper presents preliminary findings and is being distributed to economists and other interested readers solely to stimulate discussion and elicit comments. The views expressed in the paper are those of the authors and are not necessarily reflective of views at the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors. Credit Default Swap Auctions Jean Helwege, Samuel Maurer, Asani Sarkar, and Yuan Wang Federal Reserve Bank of New York Staff Reports, no. 372 May 2009 JEL classification: G10, G13, G33 Abstract The rapid growth of the credit default swap (CDS) market and the increased number of defaults in recent years have led to major changes in the way CDS contracts are settled when default occurs. Auctions are increasingly the mechanism used to settle these contracts, replacing physical transfers of defaulted bonds between CDS sellers and buyers. Indeed, auctions will become a standard feature of all recent CDS contracts from now on. In this paper, we examine all of the CDS auctions conducted to date and evaluate their efficacy by comparing the auction outcomes to prices of the underlying bonds in the secondary market. The auctions appear to have served their purpose, as we find no evidence of inefficiency in the process: Participation is high, open interest is low, and the auction prices are close to the prices observed in the bond market before and after each auction has occurred. -
The 3Rd Fixed Income Conference
THE 3RD FIXED INCOME CONFERENCE NH Grand Hotel Krasnapolsky, Amsterdam, The Netherlands 20th / 21st / 22nd September 2006 The 3rd Fixed Income Conference Due to the huge success of our previous two Fixed Income Conferences in Prague, WBS Training are pleased to announce that we will be heading to Amsterdam in September 2006 The three streamed format will be retained, with Credit Derivatives, Interest Rate Modelling and Hybrid Products streams. This year we will also have four workshops on Wednesday 20th September; Credit Derivatives Modelling, Credit Hybrids, Interest Rate Modelling & Interest Rate Hybrids. Gold Sponsors: Silver Sponsors: The 3rd Fixed Income Conference Presenter List: Claudio Albanese: Chair of Mathematical Finance, Imperial College London Jesper Andreasen: Head of Fixed Income Quantitative Research, Bank of America Alexandre Antonov NumeriX, Vice President of Quantitative Research Przemyslaw Bachert: Senior Financial Engineer, Global Financial Services Risk Management, Ernst & Young Martin Baxter: Analyst, Fixed Income Quantitative Research, Nomura International, plc Joerg Behrens Partner, Ernst & Young Nordine Bennani: Head of Credit Derivative Quantitative Research, DrKW Damiano Brigo: Head of Credit Models, Banca IMI Aaron Brown: Head of Credit Risk Architecture, Morgan Stanley Christian Fries DZ Bank Dariusz Gatarek: Glencore Helyette Geman: Professor of Mathematical Finance, Birkbeck,University of London and ESSEC Business School Jon Gregory: Global Credit Derivatives: Barclays Capital Patrick Hagan: Brevan Howard