Collateralized Loan Obligation (CLO) Combo Notes Primer
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Treasury Yields and Corporate Bond Yield Spreads
Treasury yields and corp orate b ond yield spreads: An empirical analysis Gregory R. Du ee Federal Reserve Board Mail Stop 91 Washington, DC 20551 202-452-3055 gdu [email protected] First version January 1995 Currentversion May 1996 previously circulated under the title The variation of default risk with Treasury yields Abstract This pap er empirically examines the relation b etween the Treasury term structure and spreads of investment grade corp orate b ond yields over Treasuries. I nd that noncallable b ond yield spreads fall when the level of the Treasury term structure rises. The extentof this decline dep ends on the initial credit quality of the b ond; the decline is small for Aaa- rated b onds and large for Baa-rated b onds. The role of the business cycle in generating this pattern is explored, as is the link b etween yield spreads and default risk. I also argue that yield spreads based on commonly-used b ond yield indexes are contaminated in two imp ortant ways. The rst is that they are \refreshed" indexes, which hold credit ratings constantover time; the second is that they usually are constructed with b oth callable and noncallable b onds. The impact of b oth of these problems is examined. JEL Classi cation: G13 I thank Fischer Black, Ken Singleton and seminar participants at the Federal Reserve Board's Conference on Risk Measurement and Systemic Risk for helpful comments. Nidal Abu-Saba provided valuable research assistance. All errors are myown. The analysis and conclusions of this pap er are those of the author and do not indicate concurrence by other memb ers of the research sta , by the Board of Governors, or by the Federal Reserve Banks. -
Mortgage-Backed Securities & Collateralized Mortgage Obligations
Mortgage-backed Securities & Collateralized Mortgage Obligations: Prudent CRA INVESTMENT Opportunities by Andrew Kelman,Director, National Business Development M Securities Sales and Trading Group, Freddie Mac Mortgage-backed securities (MBS) have Here is how MBSs work. Lenders because of their stronger guarantees, become a popular vehicle for finan- originate mortgages and provide better liquidity and more favorable cial institutions looking for investment groups of similar mortgage loans to capital treatment. Accordingly, this opportunities in their communities. organizations like Freddie Mac and article will focus on agency MBSs. CRA officers and bank investment of- Fannie Mae, which then securitize The agency MBS issuer or servicer ficers appreciate the return and safety them. Originators use the cash they collects monthly payments from that MBSs provide and they are widely receive to provide additional mort- homeowners and “passes through” the available compared to other qualified gages in their communities. The re- principal and interest to investors. investments. sulting MBSs carry a guarantee of Thus, these pools are known as mort- Mortgage securities play a crucial timely payment of principal and inter- gage pass-throughs or participation role in housing finance in the U.S., est to the investor and are further certificates (PCs). Most MBSs are making financing available to home backed by the mortgaged properties backed by 30-year fixed-rate mort- buyers at lower costs and ensuring that themselves. Ginnie Mae securities are gages, but they can also be backed by funds are available throughout the backed by the full faith and credit of shorter-term fixed-rate mortgages or country. The MBS market is enormous the U.S. -
Hedging Credit Index Tranches Investigating Versions of the Standard Model Christopher C
Hedging credit index tranches Investigating versions of the standard model Christopher C. Finger chris.fi[email protected] Risk Management Subtle company introduction www.riskmetrics.com Risk Management 22 Motivation A standard model for credit index tranches exists. It is commonly acknowledged that the common model is flawed. Most of the focus is on the static flaw: the failure to calibrate to all tranches on a single day with a single model parameter. But these are liquid derivatives. Models are not used for absolute pricing, but for relative value and hedging. We will focus on the dynamic flaws of the model. www.riskmetrics.com Risk Management 32 Outline 1 Standard credit derivative products 2 Standard models, conventions and abuses 3 Data and calibration 4 Testing hedging strategies 5 Conclusions www.riskmetrics.com Risk Management 42 Standard products Single-name credit default swaps Contract written on a set of reference obligations issued by one firm Protection seller compensates for losses (par less recovery) in the event of a default. Protection buyer pays a periodic premium (spread) on the notional amount being protected. Quoting is on fair spread, that is, spread that makes a contract have zero upfront value at inception. www.riskmetrics.com Risk Management 52 Standard products Credit default swap indices (CDX, iTraxx) Contract is essentially a portfolio of (125, for our purposes) equally weighted CDS on a standard basket of firms. Protection seller compensates for losses (par less recovery) in the event of a default. Protection buyer pays a periodic premium (spread) on the remaining notional amount being protected. New contracts (series) are introduced every six months. -
Default & Returns on High Yield Corporate Bonds
Soluzioni Innovative: (Private) & Public Debt Crediamo nella supremazia della Conoscenza. Dr. Edward Altman Crediamo nelle forza delle Idee. Co-Founder & Senior Advisor Classis Capital Sim SpA Crediamo nell’Ispirazione. 1 Turin, April 12, 2017 Agenda . Current Conditions and Outlook in Global Credit Markets . Assessing the Credit Health of the Italian SME Sector . Minibond Issuers 2 Major Agencies Bond Rating Categories Moody's S&P/Fitch Aaa AAA Aa1 AA+ Aa2 AA Aa3 AA- A1 A+ A2 A A3 A- Baa1 BBB+ Baa2 Investment BBB Baa3 Grade BBB- Ba1 High Yield BB+ Ba2 ("Junk") BB Ba3 BB- B1 B+ B2 B B3 B- High Yield Caa1 CCC+ Market Caa CCC Caa3 CCC- Ca CC C C D 3 Size Of High-Yield Bond Market 1978 – 2017 (Mid-year US$ billions) $1.800 $1,624 $1.600 Source: NYU $1.400 Salomon Center $1.200 estimates US Market using Credit $1.000 Suisse, S&P $800 and Citi data $ (Billions)$ $600 $400 $200 $- 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 1994 – 2016 (Mid-year € billions)* 500 468€ 471 Western Europe Market 418 400 370 ) 300 283 Source: Credit 200 194 Suisse Billions ( 154 € 108 100 81 61 70 89 84 81 79 80 77 0 2 5 9 14 27 45 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016 *Includes non-investment grade straight corporate debt of issuers with assets located in or revenues derived from Western Europe, or the bond is denominated in a Western European currency. -
Bond Risk, Bond Return Volatility, and the Term Structure of Interest Rates
Bond Risk, Bond Return Volatility, and the Term Structure of Interest Rates Luis M. Viceira1 Forthcoming International Journal of Forecasting This draft: January 2010 Abstract This paper explores time variation in bond risk, as measured by the covariation of bond returns with stock returns and with consumption growth, and in the volatility of bond returns. A robust stylized fact in empirical finance is that the spread between the yield on long-term bonds and short-term bonds forecasts positively future excess returns on bonds at varying horizons, and that the short-term nominal interest rate forecasts positively stock return volatility and exchange rate volatility. This paper presents evidence that movements in both the short-term nominal interest rate and the yield spread are positively related to changes in subsequent realized bond risk and bond return volatility. The yield spread appears to proxy for business conditions, while the short rate appears to proxy for inflation and economic uncertainty. A decomposition of bond betas into a real cash flow risk component, and a discount rate risk component shows that yield spreads have offsetting effects in each component. A widening yield spread is correlated with reduced cash-flow (or inflationary) risk for bonds, but it is also correlated with larger discount rate risk for bonds. The short rate forecasts only the discount rate component of bond beta. JEL classification:G12. 1Graduate School of Business Administration, Baker Libray 367, Harvard Univer- sity, Boston MA 02163, USA, CEPR, and NBER. Email [email protected]. Website http://www.people.hbs.edu/lviceira/. I am grateful to John Campbell, Jakub Jurek, André Per- old, participants in the Lisbon International Workshop on the Predictability of Financial Markets, and especially to two anonymous referees and Andréas Heinen for helpful comments and suggestions. -
Non-Binding Summary of Terms Series a Preferred Stock Financing
NON-BINDING SUMMARY OF TERMS SERIES A PREFERRED STOCK FINANCING NewCo Biosciences, Inc. March 9, 2013 This Term Sheet summarizes the principal terms of the Series A Preferred Stock Financing of the Company. Issuer: NewCo Biosciences, Inc. (the “Company”). Investors: ABC Venture Partners IV, LP and its Affiliates (“ABC”), XYZ Partners, LP (“XYZ,” and each of ABC and XYZ, a “Co-Lead Investor”), and other investors approved by both Co-Lead Investors and the Company. Collectively, the Co-Lead Investors, the holders of the bridge notes on an as-converted basis (the “Bridge Note Holders”) and other investors and holders of Series A Preferred Stock shall be hereinafter known as Investors. Pursuant to the terms of the bridge notes, all outstanding bridge notes will convert into Series A Preferred Stock at the First Tranche Closing. Amount of Financing: $15,000,000 to $17,000,000 in two tranches (the “First Tranche” Comment [1]: The proposed and the “Second Tranche”, collectively, the “Tranches”) in the investment is a range since there may amounts set forth below (exclusive of debt converting at the First be other investors coming in or the Tranche Closing), with each such Tranche becoming due as set forth valuation may change during due in the “Closings” section below. diligence. § First Tranche: 40% of the total investment amount Comment [2]: To reduce their risk, the investors will allocate money in § Second Tranche:60% of the total investment amount two chunks or tranches, based on The Investors total capital commitments are as follows: milestones. For the company, this guarantees a stock price and valuation § ABC: Up to $5,000,000 for a significant period of time, reducing the amount of negotiations § XYZ: Up to $8,000,000 required for a series B. -
Modern Money Mechanics
Modern Money Mechanics A Workbook on Bank Reserves and Deposit Expansion Federal Reserve Bank of Chicago Modern Money Mechanics The purpose of this booklet is to desmmbethe basic Money is such a routine part of everyday living that process of money creation in a ~actionalreserve" bank- its existence and acceptance ordinarily are taken for grant- ing system. l7ze approach taken illustrates the changes ed. A user may sense that money must come into being either automatically as a result of economic activity or as in bank balance sheets that occur when deposits in banks an outgrowth of some government operation. But just how change as a result of monetary action by the Federal this happens all too often remains a mystery. Reserve System - the central bank of the United States. What Is Money? The relationships shown are based on simplil5ring If money is viewed simply as a tool used to facilitate assumptions. For the sake of simplicity, the relationships transactions, only those media that are readily accepted in are shown as if they were mechanical, but they are not, exchange for goods, services, and other assets need to be as is described later in the booklet. Thus, they should not considered. Many things -from stones to baseball cards be intwreted to imply a close and predictable relation- -have served this monetary function through the ages. Today, in the United States, money used in transactions is ship between a specific central bank transaction and mainly of three kinds -currency (paper money and coins the quantity of money. in the pockets and purses of the public); demand deposits The introductory pages contain a briefgeneral (non-interest-bearingchecking accounts in banks); and other checkable deposits, such as negotiable order of desm'ption of the characte*ics of money and how the withdrawal (NOW)accounts, at all depository institutions, US. -
Incentives and Tranche Retention in Securitisation: a Screening Model
BIS Working Papers No 289 Incentives and tranche retention in securitisation: a screening model by Ingo Fender and Janet Mitchell Monetary and Economic Department September 2009 JEL classification: D82, D86, G21, G28. Keywords: Retention requirements, Screening incentives, Securitisation, Tranching. BIS Working Papers are written by members of the Monetary and Economic Department of the Bank for International Settlements, and from time to time by other economists, and are published by the Bank. The papers are on subjects of topical interest and are technical in character. The views expressed in them are those of their authors and not necessarily the views of the BIS. Copies of publications are available from: Bank for International Settlements Communications CH-4002 Basel, Switzerland E-mail: [email protected] Fax: +41 61 280 9100 and +41 61 280 8100 This publication is available on the BIS website (www.bis.org). © Bank for International Settlements 2009. All rights reserved. Brief excerpts may be reproduced or translated provided the source is stated. ISSN 1020-0959 (print) ISBN 1682-7678 (online) Incentives and Tranche Retention in Securitisation: A Screening Model Ingo Fender (Bank for International Settlements) and Janet Mitchell (National Bank of Belgium and CEPR)y First draft: November, 2008z This version: September, 2009 Abstract This paper examines the power of di¤erent contractual mechanisms to in‡uence an originator’schoice of costly e¤ort to screen borrowers when the originator plans to securitise its loans. The analysis focuses on three potential mechanisms: the originator holds a “vertical slice”, or share of the portfolio; the originator holds the equity tranche of a structured …nance transaction; the originator holds the mezzanine tranche, rather than the equity tranche. -
How Risky Are Structured Exposures Compared with Corporate Bonds?
How Risky are Structured Exposures Compared with Corporate Bonds? William Perraudina and Astrid Van Landschootb a Imperial College and Bank of England b National Bank of Belgium Abstract This paper compares the risk of structured exposures with that of defaultable corporate bonds with the same agency ratings. Risk is defined in a variety of ways including return volatility, value-at-risk, expected shortfall and betas with credit portfolios. * The views expressed are those of the authors and not of the institutions to which they are affiliated. 1 Introduction Understanding the relative risks involved in investing in different sectors of credit markets will always be important for market participants and regulators alike. However, the debate about capital initiated by the Basel Committee’s recently published proposals on regulatory capital make this issue especially topical (See Basel Committee on Banking Supervision (2004)). In brief, the Committee’s proposals involve requiring each bank to hold capital to cover its banking book credit exposures largely based on the rating of these exposures.1 For bonds and loans, the ratings for most banks will be internally generated based on systems approved by supervisors. For structured products, the ratings will be mostly agency ratings provided by the major international rating agencies. Whether internal or external, the rating for an exposure is based on its expected loss or default probability. These aspects of an exposure are not the same as the exposure’s unexpected loss, which is generally thought to be an appropriate basis for setting capital. But experience suggests that, for reasonably homogeneous categories of assets, one may expect to find a stable relationship between expected loss and default probabilities and hence ratings on the one hand and unexpected loss and hence capital on the other hand. -
The Relation Between Treasury Yields and Corporate Bond Yield Spreads
THE JOURNAL OF FINANCE • VOL. LIII, NO. 6 • DECEMBER 1998 The Relation Between Treasury Yields and Corporate Bond Yield Spreads GREGORY R. DUFFEE* ABSTRACT Because the option to call a corporate bond should rise in value when bond yields fall, the relation between noncallable Treasury yields and spreads of corporate bond yields over Treasury yields should depend on the callability of the corporate bond. I confirm this hypothesis for investment-grade corporate bonds. Although yield spreads on both callable and noncallable corporate bonds fall when Treasury yields rise, this relation is much stronger for callable bonds. This result has im- portant implications for interpreting the behavior of yields on commonly used cor- porate bond indexes, which are composed primarily of callable bonds. COMMONLY USED INDEXES OF CORPORATE bond yields, such as those produced by Moody’s or Lehman Brothers, are constructed using both callable and non- callable bonds. Because the objective of those producing the indexes is to track the universe of corporate bonds, this methodology is sensible. Until the mid-1980s, few corporations issued noncallable bonds, hence an index de- signed to measure the yield on a typical corporate bond would have to be constructed primarily with callable bonds. However, any empirical analysis of these yields needs to recognize that the presence of the bonds’ call options affects their behavior in potentially important ways. Variations over time in yields on callable bonds will reflect, in part, variations in their option values. If, say, noncallable bond prices rise ~i.e., their yields fall!, prices of callable bonds should not rise as much be- cause the values of their embedded short call options also rise. -
The Informational Role of the Yield Spread and Stock Returns for Predicting Future GDP in Emerging Countries
The informational role of the yield spread and stock returns for predicting future GDP in Emerging countries Daaliya Aafiya Maria Headlie* Masters in Finance Dissertation Advisor: Julio Fernando Seara Sequeira da Mota Labão, Ph.D 2016 *[email protected] Bibliographical Statement Daaliya Aafiya Maria Headlie was born on October 14th 1988. She completed her undergraduate studies in Economics with a minor in Finance at the University of the West Indies in Trinidad before joining the Masters of Finance programme at the Faculty of Economics at the University of Porto. As an Erasmus student studying in Portugal, aside from pursuing her Masters in Finance, Daaliya has actively been involved in the FEP Finance Club, where she has been a member of the Career Development, Corporate Finance and Portfolio Management team. Daaliya has also developed a strong passion for professional photography during her stay in Portugal. Upon completion of her Masters programme, Daaliya shall return to her home country to offer her services to the Trinidad and Tobago government as a means of fulfilling her undergraduate scholarship agreement as a scholarship holder. i Acknowledgements My sincerest appreciation and gratitude for the time and effort my supervisor, Professor Julio Labão has extended throughout this journey. Professor Natercia for all of her efforts. My family and friends for their continued love, support and prayers. The FEP librarian staff for assisting and teaching me how to collect and gather the necessary data for this study. Lastly, to Erasmus Mundus and the European Commission for grating me this amazing opportunity that I would forever hold close to my heart. -
Equity Friendly Or Noteholder Friendly? the Role of Collateral Asset Managers in the Col- Lapse of the Market for ABS-Cdos
Equity friendly or noteholder friendly? The role of collateral asset managers in the col- lapse of the market for ABS-CDOs Thomas Mählmann Chair of Banking and Finance, Catholic University of Eichstaett-Ingolstadt, Auf der Schanz 49, 85049 Ingolstadt, Germany This version: April 2012 Abstract This paper shows that ABS-CDOs (i.e., collateralized debt obligations backed by asset- backed securities) managed by large market share managers have higher ex post collateral default rates. The paper also finds that (1) large manager deals, while having higher realized default rates, do not carry more default risk ex ante (at origination), as measured by the deal fraction rated AAA or the size of the equity tranche, (2) ex post, these deals have higher per- centages of home-equity loans, subprime RMBS and synthetic assets in their collateral pools, and larger asset-specific default rates and issuer concentration levels, (3) compared to smaller managers, large market share manager deals pay out higher cash flows to equity tranche in- vestors prior to the start of the subprime crisis (July 2007) but significantly lower cash flows afterwards, and (4) investors demand a (price) discount on non-equity tranches sold by large manager deals. In sum, this evidence is consistent with a conflict of interest/risk shifting ar- gument: some managers boost their market share by catering to the interests of the deals’ eq- uity sponsors. JEL classification: G21, G28 Keywords: Conflict of interest, Credit Rating, Collateralized Debt Obligation, Yield Spread Tel.: +49 841 937 1883; fax: +49 841 937 2883. E-mail address: [email protected] 1.