Report of the Hong Kong Monetary Authority on Issues Concerning the Distribution of Structured Products Connected to Lehman Group Companies
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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. -
Shadow Banking
Federal Reserve Bank of New York Staff Reports Shadow Banking Zoltan Pozsar Tobias Adrian Adam Ashcraft Hayley Boesky Staff Report No. 458 July 2010 Revised February 2012 FRBNY Staff REPORTS 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 this paper are those of the authors and are not necessar- ily 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. Shadow Banking Zoltan Pozsar, Tobias Adrian, Adam Ashcraft, and Hayley Boesky Federal Reserve Bank of New York Staff Reports, no. 458 July 2010: revised February 2012 JEL classification: G20, G28, G01 Abstract The rapid growth of the market-based financial system since the mid-1980s changed the nature of financial intermediation. Within the market-based financial system, “shadow banks” have served a critical role. Shadow banks are financial intermediaries that con- duct maturity, credit, and liquidity transformation without explicit access to central bank liquidity or public sector credit guarantees. Examples of shadow banks include finance companies, asset-backed commercial paper (ABCP) conduits, structured investment vehicles (SIVs), credit hedge funds, money market mutual funds, securities lenders, limited-purpose finance companies (LPFCs), and the government-sponsored enterprises (GSEs). Our paper documents the institutional features of shadow banks, discusses their economic roles, and analyzes their relation to the traditional banking system. Our de- scription and taxonomy of shadow bank entities and shadow bank activities are accom- panied by “shadow banking maps” that schematically represent the funding flows of the shadow banking system. -
Annual Report 2018 2 0
2018 ANNUAL REPORT 2018 MELCOR REIT 2018 ANNUAL REPORT 2018 GLA BY GLA BY PROPERTY TYPE REGION Melcor REIT is an unincorporated, open-ended real estate investment trust. We own, acquire, manage and lease quality retail, office and industrial income-generating properties. Our portfolio is currently made up of interests in 37 properties representing approximately 2.87 million square feet of gross leasable area located in and around Edmonton, Calgary, Lethbridge and Red Deer, Alberta; Regina, Saskatchewan; and Kelowna, British Columbia. 56+37+7+A 58+29+13+A Backed by Melcor Development’s 95 year history, Melcor REIT Office 56% Northern Alberta 58% was borne out of a proud tradition of real estate excellence in Retail 37% Southern Alberta 29% western Canada. Our growth potential is a true competitive Industrial 7% BC & SK 13% advantage, with the right to acquire Melcor’s pipeline of newly constructed, high quality retail, industrial and office projects. Subsequent to the initial acquisition, we have vended-in over GLA BY GLA BY 1 million sf from Melcor, and there is a further 6.5 million sf in TENANT PROFILE TENANT INDUSTRY current and future projects to be built over the next 5 to 15 years. FACTS & DATA 37 $70.2M ASSETS REVENUE 39+20+41+A 9+7+7+5482231+A Local 39% Finance 9% Oil & Gas 4% $709.6M 99% Regional 20% Government 7% Other 8% ASSET FAIR VALUE PAYOUT RATIO National 41% Hospitality 7% Professional 22% Industrial 5% Retail 31% Medical 7% WEIGHTED AVERAGE LEASE TERM GROSS LEASABLE AREA EXPIRING (%) REMAINING (YEARS) 10 9 8 10 19 34 4.64 5.17 3.64 10+9+8+10+19+342019 2020 2021 2022 2023 Thereafter Northern AB Southern AB BC & SK Office Retail Industrial Land Lease 2.87M OWNED SQUARE FEET BRITISH COLUMBIA ALBERTA Edmonton Spruce Grove 14 4 1 1 Leduc 1 1 Red Deer 1 Kelowna Airdrie 1 2 Calgary 2 1 Chestermere 1 1 Lethbridge 1 2 Our goal is to provide stable monthly cash distributions to unitholders by acquiring high quality properties and diversifying our portfolio. -
Users/Robertjfrey/Documents/Work
AMS 511.01 - Foundations Class 11A Robert J. Frey Research Professor Stony Brook University, Applied Mathematics and Statistics [email protected] http://www.ams.sunysb.edu/~frey/ In this lecture we will cover the pricing and use of derivative securities, covering Chapters 10 and 12 in Luenberger’s text. April, 2007 1. The Binomial Option Pricing Model 1.1 – General Single Step Solution The geometric binomial model has many advantages. First, over a reasonable number of steps it represents a surprisingly realistic model of price dynamics. Second, the state price equations at each step can be expressed in a form indpendent of S(t) and those equations are simple enough to solve in closed form. 1+r D-1 u 1 1 + r D 1 + r D y y ÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅ = u fl u = 1+r D u-1 u 1+r-u 1 u 1 u yd yd ÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅ1+r D ÅÅÅÅÅÅÅÅ1 uêÅÅÅÅ-ÅÅÅÅu ÅÅ H L H ê L i y As we will see shortlyH weL Hwill solveL the general problemj by solving a zsequence of single step problems on the lattice. That K O K O K O K O j H L H ê L z sequence solutions can be efficientlyê computed because wej only have to zsolve for the state prices once. k { 1.2 – Valuing an Option with One Period to Expiration Let the current value of a stock be S(t) = 105 and let there be a call option with unknown price C(t) on the stock with a strike price of 100 that expires the next three month period. -
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 -
European Tracker of Financing Measures
20 May 2020 This publication provides a high level summary of the targeted measures taken in the United Kingdom and selected European jurisdictions, designed to support businesses and provide relief from the impact of COVID-19. This information has been put together with the assistance of Wolf Theiss for Austria, Stibbe for Benelux, Kromann Reumert for Denmark, Arthur Cox for Ireland, Gide Loyrette Nouel for France, Noerr for Germany, Gianni Origoni, Grippo, Capelli & Partners for Italy, BAHR for Norway, Cuatrecasas for Portugal and Spain, Roschier for Finland and Sweden, Bär & Karrer AG for Switzerland. We would hereby like to thank them very much for their assistance. Ropes & Gray is maintaining a Coronavirus resource centre at www.ropesgray.com/en/coronavirus which contains information in relation to multiple geographies and practices with our UK related resources here. JURISDICTION PAGE EU LEVEL ...................................................................................................................................................................................................................... 2 UNITED KINGDOM ....................................................................................................................................................................................................... 8 IRELAND .................................................................................................................................................................................................................... -
Credit Derivatives in Managing Off Balance Sheet Risks by Banks
City University Business School MSc in Finance 2001 Credit Derivatives in Managing Off Balance Sheet Risks by Banks Submitted by Murat Cakir Supervisor: Giorgio S. Questa This project is submitted as part of the requirements for the award of the MSc in Finance. July 2001 ABSTRACT Credit risk has been a worrying type of risk for financial managers. Fortunately, a recent market development –credit derivatives- has made the credit risk more manageable. The loan portfolio management has become more practicable than it used to be in the past. However, credit derivatives are still not well examined. There are uncertainties about and difficulties in the pricing and portfolio management of credit derivatives due to the non-normality in probability distribution of credit risk. Various models have been developed for credit derivatives pricing. After having drawn the general picture for the credit derivatives, we have studied some recent pricing models in a Das (1999) framework, in this study. Also appended is a an attempt to a step forward for simulating the risk-free rates and spreads, to test how powerful simulation can be in modeling the credit risk and pricing of it. Moreover, with highly developed computer technology, it is possible to make sensitivity analysis under several scenarios, to form imaginary loan portfolios, find their risk exposures, and perform a successful risk management practice. COPYRIGHT MURAT ÇAKIR Central Bank of the Republic of Turkey. All rights reserved. No part of this work 2 may be reproduced, stored in a retrieval system, transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except formal use of reference to the author without the written permission thereof Acknowledgements I am deeply grateful to my supervisor Mr. -
Copyrighted Material
Index Page 373 Thursday, August 24, 2006 3:02 PM Index Absolute prepayment rate, 89 Andacollo Gold Mine (market classes, Basel II capital require- Accelerated distribution percent- risk; operating risk), 274 ments, 294 age, 110 Annual percentage rate (APR), 86 correlation, 150 Accounting. See Capital; Operat- Anson, Mark J.P., 48 financing, 215 ing leases Application service providers gross amounts, 220–221 considerations. See Project (ASPs), 273 growth, support, 76 financing Arbitrage CDO, 120 managers, 122 equity method, 279 creation, 125 expectations, 62 Accreting swaps, 35–36 structure. See Synthetic arbi- pool, attributes, 85–87 ACE Guaranty Re, 106 trage CDO structure purchase, 172 ACG Trust III Arbitrage motivated CDOs, 124– remaining maturity, 292 asset analysis, 351 127 revolving pool, 116 collateral pool characteristics, Argentina, methodology test, 312– risk 346–347 313 identification/isolation, 5 default events, 349 Armstrong, Don, 224 transfer, 13 issuer overview, 346 Arturo Merino Benitez Interna- securitization, entity reasons, lessee analysis, 351 tional Airport, 267 70–79 maintenance, 351–352 Asian financial crisis, 285 transfer, 5 parties, roles, 349–350 Asset-backed CP (ABCP), 14, transformation, 143 payment structure, 348–349 157–162 value, difference, 84 portfolio details, 350–351 characteristics, 158–160 Asset swaps, 45, 54–57. See also presale, 345–352 conduit, 158–159. See also Investors profile, 345–346 Synthetic ABCP conduit agreement, 56–57 rationale, 346 credit enhancement, 160–161 spread, 56 remarketing agent evaluation, 350 hypothetical structure, terms, 163 structural features (removal), strengths/concerns, 347 issuance, 158 swaptions (usage), 57 surveillance, 352 issue/structure, 159 structure package, dealer cre- transaction structure, 347–348 liquidity support, 160–161 ation, 56–57 Actual/360 day convention, 48 market, 173 At the money option, 40 Actual/360 day count, 30 structure, illustration, 161–162 Auto loans, 159 Adams, Phil, 4 usage, 156 ABS, loan rate, 86 Adjustable-rate residential mort- Asset-backed presale report. -
Put/Call Parity
Execution * Research 141 W. Jackson Blvd. 1220A Chicago, IL 60604 Consulting * Asset Management The grain markets had an extremely volatile day today, and with the wheat market locked limit, many traders and customers have questions on how to figure out the futures price of the underlying commodities via the options market - Or the synthetic value of the futures. Below is an educational piece that should help brokers, traders, and customers find that synthetic value using the options markets. Any questions please do not hesitate to call us. Best Regards, Linn Group Management PUT/CALL PARITY Despite what sometimes seems like utter chaos and mayhem, options markets are in fact, orderly and uniform. There are some basic and easy to understand concepts that are essential to understanding the marketplace. The first and most important option concept is called put/call parity . This is simply the relationship between the underlying contract and the same strike, put and call. The formula is: Call price – put price + strike price = future price* Therefore, if one knows any two of the inputs, the third can be calculated. This triangular relationship is the cornerstone of understanding how options work and is true across the whole range of out of the money and in the money strikes. * To simplify the formula we have assumed no dividends, no early exercise, interest rate factors or liquidity issues. By then using this concept of put/call parity one can take the next step and create synthetic positions using options. For example, one could buy a put and sell a call with the same exercise price and expiration date which would be the synthetic equivalent of a short future position. -
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. -
Credit Derivatives
3 Credit Derivatives CHAPTER 7 Credit derivatives Collaterized debt obligation Credit default swap Credit spread options Credit linked notes Risks in credit derivatives Credit Derivatives •A credit derivative is a financial instrument whose value is determined by the default risk of the principal asset. •Financial assets like forward, options and swaps form a part of Credit derivatives •Borrowers can default and the lender will need protection against such default and in reality, a credit derivative is a way to insure such losses Credit Derivatives •Credit default swaps (CDS), total return swap, credit default swap options, collateralized debt obligations (CDO) and credit spread forwards are some examples of credit derivatives •The credit quality of the borrower as well as the third party plays an important role in determining the credit derivative’s value Credit Derivatives •Credit derivatives are fundamentally divided into two categories: funded credit derivatives and unfunded credit derivatives. •There is a contract between both the parties stating the responsibility of each party with regard to its payment without resorting to any asset class Credit Derivatives •The level of risk differs in different cases depending on the third party and a fee is decided based on the appropriate risk level by both the parties. •Financial assets like forward, options and swaps form a part of Credit derivatives •The price for these instruments changes with change in the credit risk of agents such as investors and government Credit derivatives Collaterized debt obligation Credit default swap Credit spread options Credit linked notes Risks in credit derivatives Collaterized Debt obligation •CDOs or Collateralized Debt Obligation are financial instruments that banks and other financial institutions use to repackage individual loans into a product sold to investors on the secondary market.