Yield-To-Maturity and the Reinvestment of Coupon Payments
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Spdr Bloomberg Barclays High Yield Bond Etf – Reverse Split Option Symbol: Jnk New Symbol: Jnk1 Date: 05/06/19
#44979 DATE: MAY 1, 2019 SUBJECT: SPDR BLOOMBERG BARCLAYS HIGH YIELD BOND ETF – REVERSE SPLIT OPTION SYMBOL: JNK NEW SYMBOL: JNK1 DATE: 05/06/19 SPDR Bloomberg Barclays High Yield Bond ETF (JNK) has announced a 1-for-3 reverse stock split. As a result of the reverse stock split, each JNK ETF will be converted into the right to receive approximately 0.333333 (New) SPDR Bloomberg Barclays High Yield Bond ETF. The reverse stock split will become effective before the market open on May 6, 2019. CONTRACT ADJUSTMENT Effective Date: May 6, 2019 Option Symbol: JNK changes to JNK1 Contract Multiplier: 1 Strike Divisor: 1 New Multiplier: 100 (e.g., for premium or strike dollar extensions 1.00 will equal $100) New Deliverable Per Contract: 1) 33 (New) SPDR Bloomberg Barclays High Yield Bond ETF (JNK) 2) Cash in lieu of approximately 0.3333 fractional JNK ETF, if any CUSIP: JNK (New): 78468R622 PRICING Until the cash in lieu amount, if any, is determined, the underlying price for JNK1 will be determined as follows: JNK1 = 0.333333 (JNK) DELAYED SETTLEMENT The JNK component of the JNK1 deliverable will settle through National Securities Clearing Corporation (NSCC). OCC will delay settlement of the cash portion of the JNK1 deliverable until the cash in lieu of fractional JNK ETFs, if any, is determined. Upon determination of the cash in lieu amount, OCC will require Put exercisers and Call assignees to deliver the appropriate cash amount, if any. DISCLAIMER This Information Memo provides an unofficial summary of the terms of corporate events affecting listed options or futures prepared for the convenience of market participants. -
A Collateral Theory of Endogenous Debt Maturity
Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. A Collateral Theory of Endogenous Debt Maturity R. Matthew Darst and Ehraz Refayet 2017-057 Please cite this paper as: Darst, R. Matthew, and Ehraz Refayet (2017). \A Collateral Theory of Endogenous Debt Maturity," Finance and Economics Discussion Series 2017-057. Washington: Board of Gov- ernors of the Federal Reserve System, https://doi.org/10.17016/FEDS.2017.057. NOTE: Staff working papers in the Finance and Economics Discussion Series (FEDS) are preliminary materials circulated to stimulate discussion and critical comment. The analysis and conclusions set forth are those of the authors and do not indicate concurrence by other members of the research staff or the Board of Governors. References in publications to the Finance and Economics Discussion Series (other than acknowledgement) should be cleared with the author(s) to protect the tentative character of these papers. A Collateral Theory of Endogenous Debt Maturity∗ R. Matthew Darsty Ehraz Refayetz May 16, 2017 Abstract This paper studies optimal debt maturity when firms cannot issue state contingent claims and must back promises with collateral. We establish a trade- off between long-term borrowing costs and short-term rollover costs. Issuing both long- and short-term debt balances financing costs because different debt maturities allow firms to cater risky promises across time to investors most willing to hold risk. Contrary to existing theories predicated on information frictions or liquidity risk, we show that collateral is sufficient to explain the joint issuance of different types of debt: safe “money-like” debt, risky short- and long- term debt. -
Collateralized Debt Obligations – an Overview by Matthieu Royer, PRMIA NY Steering Committee Member Vice President – Portfolio Coordination, CALYON in the Americas
Collateralized Debt Obligations – an overview By Matthieu Royer, PRMIA NY Steering Committee Member Vice President – Portfolio Coordination, CALYON in the Americas What commonly is referred to as “Collateralized debt obligations” or CDOs are securitization of a pool of asset (generally non-mortgage), in other words a securitized interest. The underlying assets (a.k.a. collateral) usually comprise loans or other debt instruments. A CDO may be called a collateralized loan obligation (CLO) or collateralized bond obligation (CBO) if it holds only loans or bonds, respectively. Investors bear the “structured” credit risk of the collateral. Typically, multiple tranches (or notes) of securities are issued by the CDO, offering investors various composite of maturity and credit risk characteristics. Tranches are categorized as senior, mezzanine, and subordinated/equity, according to their degree of credit risk. If there are defaults or the CDO's collateral otherwise underperforms/migrates/early amortize, scheduled payments to senior tranches take precedence over those of mezzanine tranches, and scheduled payments to mezzanine tranches take precedence over those to subordinated/equity tranches. This is referred to as the “Cash Flow Waterfall”. Senior and mezzanine tranches are typically rated by one or more of the rating agencies, with the former receiving ratings equivalent of “A” to “AAA” and the latter receiving ratings of “B” to “BBB”. The ratings reflect both the expected credit quality of the underlying pool of collateral as well as how much protection a given tranch is afforded by tranches that are subordinate to it (i.e. acting as credit enhancement). The sponsoring organization of the CDO establishes a special purpose vehicle to hold collateral and issue securities. -
Chapter 06 - Bonds and Other Securities Section 6.2 - Bonds Bond - an Interest Bearing Security That Promises to Pay a Stated Amount of Money at Some Future Date(S)
Chapter 06 - Bonds and Other Securities Section 6.2 - Bonds Bond - an interest bearing security that promises to pay a stated amount of money at some future date(s). maturity date - date of promised final payment term - time between issue (beginning of bond) and maturity date callable bond - may be redeemed early at the discretion of the borrower putable bond - may be redeemed early at the discretion of the lender redemption date - date at which bond is completely paid off - it may be prior to or equal to the maturity date 6-1 Bond Types: Coupon bonds - borrower makes periodic payments (coupons) to lender until redemption at which time an additional redemption payment is also made - no periodic payments, redemption payment includes original loan principal plus all accumulated interest Convertible bonds - at a future date and under certain specified conditions the bond can be converted into common stock Other Securities: Preferred Stock - provides a fixed rate of return for an investment in the company. It provides ownership rather that indebtedness, but with restricted ownership privileges. It usually has no maturity date, but may be callable. The periodic payments are called dividends. Ranks below bonds but above common stock in security. Preferred stock is bought and sold at market price. 6-2 Common Stock - an ownership security without a fixed rate of return on the investment. Common stock dividends are paid only after interest has been paid on all indebtedness and on preferred stock. The dividend rate changes and is set by the Board of Directors. Common stock holders have true ownership and have voting rights for the Board of Directors, etc. -
BIS Working Papers No 532 Mortgage Risk and the Yield Curve
BIS Working Papers No 532 Mortgage risk and the yield curve by Aytek Malkhozov, Philippe Mueller, Andrea Vedolin and Gyuri Venter Monetary and Economic Department December 2015 JEL classification: G12, G21, E43 Keywords: Term Structure of Interest Rates, MBS, Supply Factor 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. This publication is available on the BIS website (www.bis.org). © Bank for International Settlements 2015. All rights reserved. Brief excerpts may be reproduced or translated provided the source is stated. ISSN 1020-0959 (print) ISSN 1682-7678 (online) Mortgage Risk and the Yield Curve∗ Aytek Malkhozov† Philippe Mueller‡ Andrea Vedolin§ Gyuri Venter¶ Abstract We study the feedback from the risk of outstanding mortgage-backed secu- rities (MBS) on the level and volatility of interest rates. We incorporate the supply shocks resulting from changes in MBS duration into a parsimonious equilibrium dynamic term structure model and derive three predictions that are strongly supported in the data: (i) MBS duration positively predicts nominal and real excess bond returns, especially for longer maturities; (ii) the predictive power of MBS duration is transitory in nature; and (iii) MBS convexity increases interest -
3. VALUATION of BONDS and STOCK Investors Corporation
3. VALUATION OF BONDS AND STOCK Objectives: After reading this chapter, you should be able to: 1. Understand the role of stocks and bonds in the financial markets. 2. Calculate value of a bond and a share of stock using proper formulas. 3.1 Acquisition of Capital Corporations, big and small, need capital to do their business. The investors provide the capital to a corporation. A company may need a new factory to manufacture its products, or an airline a few more planes to expand into new territory. The firm acquires the money needed to build the factory or to buy the new planes from investors. The investors, of course, want a return on their investment. Therefore, we may visualize the relationship between the corporation and the investors as follows: Capital Investors Corporation Return on investment Fig. 3.1: The relationship between the investors and a corporation. Capital comes in two forms: debt capital and equity capital. To raise debt capital the companies sell bonds to the public, and to raise equity capital the corporation sells the stock of the company. Both stock and bonds are financial instruments and they have a certain intrinsic value. Instead of selling directly to the public, a corporation usually sells its stock and bonds through an intermediary. An investment bank acts as an agent between the corporation and the public. Also known as underwriters, they raise the capital for a firm and charge a fee for their services. The underwriters may sell $100 million worth of bonds to the public, but deliver only $95 million to the issuing corporation. -
Understanding the Z-Spread Moorad Choudhry*
Learning Curve September 2005 Understanding the Z-Spread Moorad Choudhry* © YieldCurve.com 2005 A key measure of relative value of a corporate bond is its swap spread. This is the basis point spread over the interest-rate swap curve, and is a measure of the credit risk of the bond. In its simplest form, the swap spread can be measured as the difference between the yield-to-maturity of the bond and the interest rate given by a straight-line interpolation of the swap curve. In practice traders use the asset-swap spread and the Z- spread as the main measures of relative value. The government bond spread is also considered. We consider the two main spread measures in this paper. Asset-swap spread An asset swap is a package that combines an interest-rate swap with a cash bond, the effect of the combined package being to transform the interest-rate basis of the bond. Typically, a fixed-rate bond will be combined with an interest-rate swap in which the bond holder pays fixed coupon and received floating coupon. The floating-coupon will be a spread over Libor (see Choudhry et al 2001). This spread is the asset-swap spread and is a function of the credit risk of the bond over and above interbank credit risk.1 Asset swaps may be transacted at par or at the bond’s market price, usually par. This means that the asset swap value is made up of the difference between the bond’s market price and par, as well as the difference between the bond coupon and the swap fixed rate. -
Bond Liquidity and Dealer Inventories: Insights from US and European Regulatory Data
52 Financial Conduct Authority Occasional Paper Securities and Exchange Commission DERA Working Paper February 2020 Bond liquidity and dealer inventories: Insights from US and European regulatory data Plamen Ivanov, Alexei Orlov and Michael Schihl Occasional Paper 52 / DERA Working Paper Bond liquidity and dealer inventories Occasional Paper 52 / DERA Working Paper Abstract Most corporate bond research on liquidity and dealer inventories is based on the USD- denominated bonds transactions in the US reported to TRACE. Some of these bonds, however, are also traded in Europe, and those trades are not subject to the TRACE reporting require- ments. Leveraging our access to both TRACE and ZEN, the UK's trade reporting system which is not publicly available, we find an overlap of about 30,000 bonds that are traded both in the US and in Europe. This paper examines how using the CUSIP-level information from TRACE and ZEN affects the computation of bond liquidity metrics, dealer inventories, and the relationship between the two. We find that in the combined dataset, the weekly volume traded and number of trades are significantly higher than in TRACE: e.g., the average unconditional number of trades in investment-grade (high-yield) bonds is 17% (20%) higher and the average uncondi- tional volume traded is 15% (17%) higher when we incorporate the information from ZEN. We find a strong positive relationship between inventories and liquidity, as proxied by the trading activity metrics (i.e., number of trades, zero trading days, or par value traded) in TRACE data, and this result carries over to the combined dataset. -
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. -
Foundations of High-Yield Analysis
Research Foundation Briefs FOUNDATIONS OF HIGH-YIELD ANALYSIS Martin Fridson, CFA, Editor In partnership with CFA Society New York FOUNDATIONS OF HIGH-YIELD ANALYSIS Martin Fridson, CFA, Editor Statement of Purpose The CFA Institute Research Foundation is a not- for-profit organization established to promote the development and dissemination of relevant research for investment practitioners worldwide. Neither the Research Foundation, CFA Institute, nor the publication’s editorial staff is responsible for facts and opinions presented in this publication. This publication reflects the views of the author(s) and does not represent the official views of the CFA Institute Research Foundation. The CFA Institute Research Foundation and the Research Foundation logo are trademarks owned by The CFA Institute Research Foundation. CFA®, Chartered Financial Analyst®, AIMR- PPS®, and GIPS® are just a few of the trademarks owned by CFA Institute. To view a list of CFA Institute trademarks and the Guide for the Use of CFA Institute Marks, please visit our website at www.cfainstitute.org. © 2018 The CFA Institute Research Foundation. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the copyright holder. This publication is designed to provide accurate and authoritative information in regard to the subject matter covered. It is sold with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional service. If legal advice or other expert assistance is required, the services of a competent professional should be sought. -
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. -
Monetary Policy, Loan Maturity, and Credit Availability∗
Monetary Policy, Loan Maturity, and Credit Availability∗ Lamont K. Blacka and Richard J. Rosenb aDePaul University bFederal Reserve Bank of Chicago The recent financial crisis and economic recovery have renewed interest in how monetary policy affects bank lending. Using loan-level data, we analyze the effect of monetary policy on loan originations. Our results show that tightening mone- tary policy significantly reduces the supply of commercial loans by shortening loan maturity. A 1-percentage-point increase in the federal funds rate reduces the average maturity of loan supply by 3.3 percent, contributing to an 8.2 percent decline in the steady-state loan supply at a typical bank. This channel of monetary policy affects loan supply similarly at small and large banks. Our results have interesting implications for the effects of monetary policy on bank maturity transformation and credit availability. JEL Codes: E44, E51, G21. 1. Introduction Fears of a credit crunch in the recent financial crisis led many observers to call for central banks to ease monetary policy.1 Such ∗We thank the referees, Allen Berger, Brian Bucks, John Duca, Rochelle Edge, Kim Huynh, Eric Leeper, and Greg Udell for insightful comments and presenta- tion participants at the Federal Reserve Bank of Chicago, the Federal Reserve Bank of San Francisco, and the Federal Reserve System Conference on Bank Structure and Competition as well as Christine Coyer, Crystal Cun, Sean Flynn, Shah Hussain, and Mike Mei for research assistance. The opinions expressed do not necessarily reflect those of the Federal Reserve Bank of Chicago or the Federal Reserve System.