We last reviewed the best value bond trades in the 1 to 5 year maturity spectrum on March 18. Today, we update that analysis using trade data from April 17, a relatively light pre-holiday trading day. On April 17 in the U.S. bond market, there were 19,628 bond trades in 3,973 non-call fixed rate corporate bond issues representing $5,317,782,257 in notional principal. Which 20 trades were the best trades of the day, and how do we decide the answer to that question? Today, we answer those questions for bonds with maturities of 1 to 5 years at the request of many investors. The answers to these questions are particularly important given the well-known inability of legacy credit ratings to match the accuracy of quantitative methods used in this series of notes. We ignore legacy ratings in this analysis for that reason.
Conclusion: The best-value non-call senior fixed rate bond trades with maturities of 1 to 5 years on April 17, 2014 were issues by these firms:
Best Value Long Maturity Bond Trades for April 17, 2014
In analyzing the best trades of the day, we used these criteria:
Bond type: Fixed rate
Callability: Non-call
Seniority: Senior debt
Trade Volume: $5 million or more
Maturity: 1 to 5 years
Ratings: Ignored
We ignored legacy ratings in making today's selection, but all but two of the trades meeting our criteria had an investment grade rating by the pre-Dodd Frank Act definition. We used the same criterion for "best" that we have used in recent analyses of bonds issued by Comcast Corporation (CMCSA) (in both part 1 and part 2), General Electric Company (GE), and Prudential Financial Inc. (PRU). That criterion is the reward to risk ratio, calculated as the ratio of credit spread to matched-maturity default probability. The default probabilities used are described in detail in the daily default probability analysis posted by Kamakura Corporation. Both the credit spreads and default probabilities are reported as percent figures. The full text of the Dodd-Frank legislation as it concerns the definition of "investment grade" is summarized at the end of our analysis of Citigroup (C) bonds published December 9, 2013.
In all, there were 81 issues that met our criteria. The distribution of credit spreads is given in this histogram:
The median credit spread was 0.469%, and the average credit spread was 0.665%.
The distribution of the credit spread to default probability ratio is given in this histogram:
The median credit spread to default probability ratio was 8.42 and the average was 20.49. Note that the average is skewed by the very high credit spread to default probability ratios of the best credits. Note also that only ratios of 40 or below are plotted on the graph.
Here are the ranking results, listed from best to worst, with a United Technologies Corporation bond issue the winner at a reward to risk ratio of 255.9 times.
CUSIPs
Many investors have requested that we provide CUSIPs as part of this chart. Redistribution of CUSIPs is currently prohibited by Kamakura Corporation's contract with the data vendor. We are working hard to change this so that we may make CUSIPs available in the future.
Background on the Calculations
Assuming the recovery rate in the event of default would be the same on all bond issues, a sophisticated investor who has moved beyond legacy ratings seeks to maximize revenue per basis point of default risk from each incremental investment, subject to risk limits on macro-factor exposure on a fully default-adjusted basis.
Maximizing the ratio of credit spread to matched-maturity default probabilities requires that default probabilities be available at a wide range of maturities. We used the default probabilities supplied by Kamakura Corporation's KRIS default probability service, interpolated to a matched-maturity basis to the exact day of bond maturity. For maturities longer than ten years, we assume that the ten year default probability is a good estimate of default risk.
Bond yields are secured from TRACE. The National Association of Securities Dealers launched the TRACE (Trade Reporting and Compliance Engine) system in July 2002 in order to increase price transparency in the U.S. corporate debt market. The system captures information on secondary market transactions in publicly traded securities (investment grade, high yield and convertible corporate debt) representing all over-the-counter market activity in these bonds.
We used the trade-weighted average yield reported by TRACE for each of the bond issues analyzed. We calculated the credit spread using the matched-maturity yield on U.S. Treasury bonds, interpolated from the Federal Reserve H15 statistical release for the trade date. The source of the information on the H15 release is the U.S. Department of the Treasury.
Forward-Looking Best Value Bond Selection
Today's analysis looks back at yesterday's trades. A forward-looking bond selection based on today's prices at this instant is done in the same way, with slight differences in the data sources.
Author's Note
Regular readers of these notes are aware that we generally do not list the major news headlines relevant to the firms in question. We believe that other authors on Seeking Alpha, Yahoo, at The New York Times, The Financial Times, and the Wall Street Journal do a fine job of this. Our omission of those headlines is intentional. Similarly, to argue that a specific news event is more important than all other news events in the outlook for the firm is something we again believe is inappropriate for this author. Our focus is on current bond prices, credit spreads, and default probabilities, key statistics that we feel are critical for both fixed income and equity investors.
Disclosure: I have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it. I have no business relationship with any company whose stock is mentioned in this article.
Additional disclosure: Kamakura Corporation has business relationships with a number of organizations mentioned in this article.
This article was written by
Donald R. van Deventer is a Managing Director in the Center for Applied Quantitative Finance at SAS Institute, Inc. Prior to the acquisition of Kamakura Corporation by SAS on June 24, 2022, Dr. van Deventer was the Chairman and Chief Executive Officer of Kamakura Corporation. He founded the Kamakura Corporation in April, 1990. The second edition of his book, Advanced Financial Risk Management (with Kenji Imai and Mark Mesler) was published in 2013. Dr. van Deventer was senior vice president in the investment banking department of Lehman Brothers (then Shearson Lehman Hutton) from 1987 to 1990. During that time, he was responsible for 27 major client relationships including Sony, Canon, Fujitsu, NTT, Tokyo Electric Power Co., and most of Japan's leading banks. From 1982 to 1987, Dr. van Deventer was the treasurer for First Interstate Bancorp in Los Angeles. In this capacity he was responsible for all bond financing requirements, the company’s commercial paper program, and a multi-billion dollar derivatives hedging program for the company. Dr. van Deventer was a Vice President in the risk management department of Security Pacific National Bank from 1977 to 1982. Dr. van Deventer holds a Ph.D. in Business Economics, a joint degree of the Harvard University Department of Economics and the Harvard Graduate School of Business Administration. He was appointed to the Harvard University Graduate School Alumni Association Council in 1999 and served through 2021. Dr. van Deventer was Chairman of the Council for four years from 2012 to 2016. From 2005 through 2009, he served as one of two appointed directors of the Harvard Alumni Association representing the Graduate School of Arts and Sciences. Dr. van Deventer also holds a degree in mathematics and economics from Occidental College, where he graduated second in his class, summa cum laude, and Phi Beta Kappa. Dr. van Deventer speaks Japanese and English.