The Yield Curve, and Spot and Forward Interest Rates Moorad Choudhry
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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. -
LIBOR Transition Faqs ‘Big Bang’ CCP Switch Over
RED = Final File Size/Bleed Line BLACK = Page Size/Trim Line MAGENTA = Margin/Safe Art Boundary NOT A PRODUCT OF BARCLAYS RESEARCH LIBOR Transition FAQs ‘Big bang’ CCP switch over 1. When will CCPs switch their rates for discounting 2. €STR Switch Over to new risk-free rates (RFRs)? What is the ‘big bang’ 2a. What are the mechanics for the cash adjustment switch over? exchange? Why is this necessary? As part of global industry efforts around benchmark reform, Each CCP will perform a valuation using EONIA and then run most systemic Central Clearing Counterparties (CCPs) are the same valuation by switching to €STR. The switch to €STR expected to switch Price Aligned Interest (PAI) and discounting discounting will lead to a change in the net present value of EUR on all cleared EUR-denominated products to €STR in July 2020, denominated trades across all CCPs. As a result, a mandatory and for USD-denominated derivatives to SOFR in October 2020. cash compensation mechanism will be used by the CCPs to 1a. €STR switch over: weekend of 25/26 July 2020 counter this change in value so that individual participants will experience almost no ‘net’ changes, implemented through a one As the momentum of benchmark interest rate reform continues off payment. This requirement is due to the fact portfolios are in Europe, while EURIBOR has no clear end date, the publishing switching from EONIA to €STR flat (no spread), however there of EONIA will be discontinued from 3 January 2022. Its is a fixed spread between EONIA and €STR (i.e. -
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. -
No Arbitrage Pricing and the Term Structure of Interest Rates
No Arbitrage Pricing and the Term Structure of Interest Rates by Thomas Gustavsson Economic Studies 1992:2 Department of Economics Uppsala University Originally published as ISBN 91-87268-11-6 and ISSN 0283-7668 Acknowledgement I would like to thank my thesis advisor professor Peter Englund for helping me to complete this project. I could not have done it without the expert advice of Ingemar Kaj from the Department of Mathematics at Uppsala University. I am also grateful to David Heath of Cornell University for reading and discussing an early version of this manuscript. Repeated conversations with Martin Kulldorff and Hans Dill´en,both Uppsala University, and Rainer Sch¨obel, T¨ubingen,have also been most helpful. The usual disclaimer applies. Financial support for this project was received from Bo Jonas Sj¨onanders Minnesfond and Bankforskningsinstitutet. Special thanks to professors Sven- Erik Johansson, Nils Hakansson, Claes-Henric Siven and Erik Dahm´enfor their support. Uppsala May 1992 Abstract This dissertation provides an introduction to the concept of no arbitrage pricing and probability measures. In complete markets prices are arbitrage-free if and only if there exists an equivalent probability measure under which all asset prices are martingales. This is only a slight generalization of the classical fair game hypothesis. The most important limitation of this approach is the requirement of free and public information. Also in order to apply the martingale repre- sentation theorem we have to limit our attention to stochastic processes that are generated by Wiener or Poisson processes. While this excludes branching it does include diffusion processes with stochastic variances. -
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. -
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. -
Development Finance Appraisal Models
Development Finance Appraisal Models November 2016 kpmg.co.za Financial and Economic Appraisal of Investment Projects South Africa is a country facing many difficulties, unemployment being one of the key issues. Statistics show that 1 in 4 people in South Africa are currently unemployed. The role of development finance institutions in South Africa will play a key role in improving unemployment and ultimately achieving the government’s 2020 target of creating five million new jobs. With the above in mind, we present to you our research and conclusions on the financial and economic appraisal tools used by development finance institutions to evaluate the investment decision. Friedel Rutkowski Andre Coetzee Trainee Accountant at KPMG - Trainee Accountant at KPMG - Financial Services Audit Financial Services Audit [email protected] [email protected] (+27) 72 767 8910 (+27) 82 576 2909 Background 1 Development finance can be defined as the provision of finance to projects or sectors of the economy that are not sufficiently serviced by the traditional financial system (Gumede, et al., 2011). With this in mind, it is important to make a distinction between development finance and public finance. Public finance may invest funds in non-revenue generating projects for the public good, where development finance focuses on projects that are financially sustainable and will have acceptable financial returns. Moreover, the projects in which development finance institutions (DFI’s) invest, should seek to address financial market failures -
Yield and Duration Financial Markets, Day 3, Class 1
Yield and Duration Financial Markets, Day 3, Class 1 Jun Pan Shanghai Advanced Institute of Finance (SAIF) Shanghai Jiao Tong University April 20, 2019 Financial Markets, Day 3, Class 1 Yield and Duration Jun Pan 1 / 29 Outline for Day 3 Class 1: Yield and duration. Class 2: Factors influencing the yield curve. Class 3: Modeling the yield curve. Class 4: Interest rate swaps. Class 5: Corporate bonds and credit risk. Class 6: Review and quiz. Financial Markets, Day 3, Class 1 Yield and Duration Jun Pan 2 / 29 Outline for Class 1 From equity to fixed income. Bond price and yield: duration and convexity. The universe of fixed income securities. Financial Markets, Day 3, Class 1 Yield and Duration Jun Pan 3 / 29 From Equity to Fixed Income So how are things different? (Michael Lewis: Equities in Dallas.) A bond matures. At maturity, the bond pays back the principal. Before maturity, it has scheduled coupon payments. Its key risk factor: interest rate exposure, which is measured by duration. Very often, we will refer to buying bonds as buying duration. This becomes quite useful when moving from bonds to interest-rate swaps: different in structure but same as vehicles for duration. So beta in equity, and duration in fixed income. The cheapness and richness of a bond is often measured in the space of yields to maturity. So Black-Scholes implied vol in options and yield in fixed income. Financial Markets, Day 3, Class 1 Yield and Duration Jun Pan 4 / 29 Monthly Returns Financial Markets, Day 3, Class 1 Yield and Duration Jun Pan 5 / 29 Monthly -
Rollover Risk and Corporate Bond Spreads
Rollover risk and corporate bond spreads PATRICIO VALENZUELA † ABSTRACT Using a new data set on corporate bonds placed in international markets by advanced and emerging market borrowers, this paper demonstrates that the impact of debt market illiquidity on corporate bond spreads is exacerbated with a higher proportion of short-term debt. This effect is stronger in speculative-grade bonds and is smaller in the banking sector as banks may have the support of a lender of last resort in times of debt market illiquidity. The paper’s major finding is consistent with the predictions of structural credit risk models that argue that a higher proportion of short-term debt increases the firm’s exposure to debt market illiquidity through a ‘rollover risk’ channel. JEL CODE: G12; G13; G15; G32; G33 KEY WORDS: CREDIT SPREADS; DEFAULT RISK; MARKET ILLIQUIDITY; ROLLOVER RISK † University of Chile, República 701, Santiago, Chile. e-mail: [email protected]. I have benefited from helpful comments from Franklin Allen, Arpad Abraham, Jérôme Adda, Dion Bongaerts, Eduardo Borensztein, Elena Carletti, Gian Luca Clementi, Giancarlo Corsetti, Satyajit Chatterjee, Sanjiv Das, Luigi Guiso, Zhiguo He, Rodrigo Hernández, Todd Keister, Jun Qian, Krista Schwarz, Lovo Stefano, and Anjan Thakor and seminar participants at the IADB Research Department, the European University Institute, the Riksbank, University Carlos III, CUNEF, the CREDIT Conference, the CRSP Forum, the EUROFIDAI-AFFI International Paris Finance Meeting, the SFA Annual Meeting, the European Finance Association Doctoral Tutorial, the Chicago Quantitative Fall Conference, and the FMA Annual Meeting. I thank Jack Bao, Jun Pan, and Jiang Wang for access to their Gamma measure and Krista Schwarz for access to her KfW spread. -
Fabozzi Course.Pdf
Asset Valuation Debt Investments: Analysis and Valuation Joel M. Shulman, Ph.D, CFA Study Session # 15 – Level I CFA CANDIDATE READINGS: Fixed Income Analysis for the Chartered Financial Analyst Program: Level I and II Readings, Frank J. Fabozzi (Frank J. Fabozzi Associates, 2000) “Introduction to the Valuation of Fixed Income Securities,” Ch. 5 “Yield Measures, Spot Rates, and Forward Rates,” Ch. 6 “Introduction to Measurement of Interest Rate Risk,” Ch. 7 © 2002 Shulman Review/The Princeton Review Fixed Income Valuation 2 Learning Outcome Statements Introduction to the Valuation of Fixed Income Securities Chapter 5, Fabozzi The candidate should be able to a) Describe the fundamental principles of bond valuation; b) Explain the three steps in the valuation process; c) Explain what is meant by a bond’s cash flow; d) Discuss the difficulties of estimating the expected cash flows for some types of bonds and identify the bonds for which estimating the expected cash flows is difficult; e) Compute the value of a bond, given the expected cash flows and the appropriate discount rates; f) Explain how the value of a bond changes if the discount rate increases or decreases and compute the change in value that is attributable to the rate change; g) Explain how the price of a bond changes as the bond approaches its maturity date and compute the change in value that is attributable to the passage of time; h) Compute the value of a zero-coupon bond; i) Compute the dirty price of a bond, accrued interest, and clean price of a bond that is between coupon