The Journal of Fixed Income https://iij.journals.publicknowledgeproject.org/index.php/jfi <p><em>The Journal of Fixed Income</em> (JFI) provides sophisticated analytical research and case studies on bond instruments of all types – investment grade, high-yield, municipals, ABS and MBS, and structured products such as CDOs and credit derivatives. Industry experts offer detailed models and analyses of fixed income structuring, performance tracking, and risk management. The JFI helps readers to manage bond portfolios more efficiently, evaluate interest rate strategies and manage interest rate risk, gain insights on structured products, and to stay on the cutting edge of fixed income markets.</p> <p>To support work that lies at the intersection of academic ideas and the practice of fixed income portfolio management. The articles, authored by sell side and buy side investment professionals, the Federal Reserve System, the Bank for International Settlements, the International Monetary Fund, the government-sponsored agencies and rating agencies, provide insights to practitioners and help academics focus on timely and relevant applied research. </p> <p><em>The Journal of Fixed Income</em> aims to be the forum for academics and fixed income portfolio managers to exchange information that advances the practice of investment management.</p> <p><em>The Journal of Fixed Income </em>was founded by Douglas T. Breeden in 1991. At the time, he was a professor of finance at Duke University and managing Smith Breeden Associates, a bank consulting and fixed income asset management firm that he founded in 1982. Stanley Kon assumed the editorship of in 2001.</p> <p>The Journal was launched due to a growing number of researchers and practitioners specializing in fixed income and the need for a platform that helps them to improve their models and performance by staying up-to-date on the topic. Read the first editor's letter <a href="https://jfi.pm-research.com/sites/default/files/IIJ%20assets/pdfs/JFI_Vol_1_Issue_1_Letter.pdf" target="_blank" rel="noopener"><u>here</u></a>.</p> With Intelligence en-US The Journal of Fixed Income 1059-8596 <p><strong> </strong><strong> </strong></p> <p><strong>­COPYRIGHT AGREEMENT</strong></p> <p>Author: _____________________________________________________________________________________(the “Author)</p> <p>Address &amp; Phone: _________________________________________________________________________________________</p> <p>Article Title: _________________________________________________________________________________ (the “Article”)</p> <p>Journal: <em>The Journal of ________________________________________________________________________ </em>(the “Journal”)</p> <p> </p> <p>Please indicate type of work:</p> <p>□ Author’s own work □ Work of the US government □ Work made for hire</p> <p>The Author hereby submits the Article to Pageant Media Ltd./“Portfolio Management Research” (PMR) for publication in the Journal. 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The Author maintains that the Article contains no statement that is abusive, defamatory, libelous, obscene, fraudulent, does not infringe upon the rights of others, is unlawful, or is in violation of applicable laws.</p> <p>Any alterations to this agreement will be considered null and void unless agreed to in writing by PMR.</p> <p>______________________________________________________ ____________________<br /> Author’s signature Date</p> <p>______________________________________________________ ____________________<br /> Company representative’s signature* Date</p> <p>If work made for hire</p> <p>*If left blank Authors signature will be accepted automatically as company representative</p> <p> </p> <table border="1" cellspacing="0" cellpadding="0" width="708"><tbody><tr><td width="270" valign="top"><p>If the Article has been published or submitted for publication before in any form, please note where <br /> and when:</p></td> <td width="438" valign="top"><p>p</p></td></tr></tbody></table> <p>For expanded explanation of how you can use pre/post publication versions of your article please visit <a href="https://www.pm-research.com/permissions-and-reprints">https://www.pm-research.com/permissions-and-reprints</a></p><p> </p> An Esscher-based algorithm for computing default probabilities in structural Lévy models https://iij.journals.publicknowledgeproject.org/index.php/jfi/article/view/13115 <p>Structural credit risk modeling is a commonly used risk-management approach for fixed-income, with Lévy models offering more realistic tail behavior than assumed in the classical Merton formulation. This paper presents an innovative Esscher-based algorithm for computing default probabilities in structural credit risk models driven by Lévy processes. The algorithm starts by matching the moments of observed equity values to infer model parameters. Using the cumulant generating function, it then computes the risk-neutral characteristic function and derives asset values through inversion of a Fourier option pricing formula. The physical parameters are updated by matching the moments of these asset values, iterating until convergence. As an illustration, the algorithm is applied to multiple issuers with various ratings, and to three Lévy models: Merton, Variance Gamma, and Bilateral Gamma. As expected, the Merton model consistently underestimates default probabilities for short maturities, while the Bilateral Gamma model provides more conservative estimates. The empirical analysis demonstrates the robustness of the algorithm across different market conditions, highlighting its ability to provide valuable insights for both academic research and practical risk management. This approach therefore offers a complimentary risk-modeling perspective to the traditional Merton framework. For reader's convenience, calibration code is made publicly available.</p> Jean-Philippe Aguilar Copyright (c) 2025 The Journal of Fixed Income 2025-01-14 2025-01-14 34 3 Is There Value Generation by Sustainability-Linked Bond Issuances? https://iij.journals.publicknowledgeproject.org/index.php/jfi/article/view/12915 <p>Amid increasing capital needs to finance sustainable transitions and growing investor interest in generating sustainable impact with their investment decisions, several sustainable bond products have emerged. Besides the well-known green bonds, sustainability-linked bonds (SLBs) have gained recent popularity. To assist companies and investors in understanding the implications of issuing SLBs, this study analyses value generation, measured by stock market reactions, around their announcements and documents a positive wealth effect. However, abnormal positive stock price changes persist only for specific subgroups of companies that (i) have not already issued a use-of-proceeds bond and (ii) for companies with high environmental standards. Overall, the results suggest that SLB issuances are not universally value-generating, but benefit specific firms, only.</p> Christian Pohl Copyright (c) 2025 The Journal of Fixed Income 2025-01-14 2025-01-14 34 3 A Terminal Rate Approach to Dissecting Term Premia https://iij.journals.publicknowledgeproject.org/index.php/jfi/article/view/12837 <p>We parameterize the yield curve using four factors that capture the term structure of term premia and the risk-free expectations curve. By explicitly integrating a convergence point (terminal rate) for the short rate our model is uniquely positioned to provide more insightful reflections on the state of the economy, capturing investors' risk tolerance, and expectations regarding inflation, monetary policy shifts, and other macroeconomic factors. Its robustness and reliability is demonstrated by accurately replicating term premia from established models such as Joslin, Singleton and Zhu (JSZ.2011) (JSZ), Adrian, Crump, and Mönch (2013) (ACM), and Diebold and Li (2006) (DNS), while revealing that these models imply significant volatility in estimated real terminal rates over the past four decades. The Terminal Rate Model (TRM) that we propose aligns closely with the r* gauge (Holston, Laubach, and Williams 2017) pre-2008 recession, indicating its effectiveness in capturing economic developments. The comparative performance of the TRM against ACM, JSZ, and DNS models underscores its potential utility in forecasting and policy analysis, particularly in understanding the impact of significant economic shifts.</p> Ken Nyholm Johannes Kramer Copyright (c) 2025 The Journal of Fixed Income 2025-01-14 2025-01-14 34 3 The Improvements in Global Bond Portfolio Risk Management and Performance by Hedging the Components of Total Risk with Derivatives https://iij.journals.publicknowledgeproject.org/index.php/jfi/article/view/13099 <p>In this article, we provide an in-depth illustration of how to use derivatives for hedging foreign exchange (FX) risks in global bond portfolios. It focuses on a yield curve-based approach, using factor models to effectively decompose and manage both currency and interest-rate exposures. The central methodology illustrated is the analysis of yield curves to comprehensively assess and mitigate the FX risks embedded within global bond portfolios. Employing a seven-factor model, which incorporates FX carry, value, and momentum among other factors we illustrate how to explain portfolio returns and manage the associated currency risks. Considerable emphasis is placed on understanding the interplay between bond pricing, currency volatility, and the strategic use of FX options to mitigate risk. This approach described is crucial for portfolio managers seeking to optimize their management of multi-currency exposures, by aligning hedging strategies with the portfolio's base currency to improve both performance and risk control. The illustration clearly demonstrates the complexity of FX hedging and the critical role of integrated yield curve analysis in global investment strategies.</p> Frank J. Fabozzi Gueorgui Konstantinov Copyright (c) 2025 The Journal of Fixed Income 2025-01-14 2025-01-14 34 3 Climate Policy Performance Bonds https://iij.journals.publicknowledgeproject.org/index.php/jfi/article/view/12853 <p>This paper explains how the bond market can play an important role in furthering the transition to zero carbon emissions through the issuance of sovereign climate bonds whose interest rate is tied to government climate policy commitments. The bond rewards the issuer if it attains its commitments but penalizes it if its policies fall short. The paper describes three climate bond designs built on the TIPS structure. Two tie bond performance to climate transition risk, and the third ties it to physical risk. The paper explains how each bond can be priced, how investors can use them to hedge climate risk exposure, and how investors can use their market price to infer bond market investors’ assessments of the likely future path of carbon emissions or carbon prices. Firms could also issue these climate bonds.</p> John Finnerty Natalia Reisel Copyright (c) 2025 The Journal of Fixed Income 2025-01-14 2025-01-14 34 3