Journal Information

Journal of Fixed Income Editor-in-Chief: Stanley Kon

ISSN: 1059-8596

E-ISSN: 2168-8648

Frequency: quarterly

Content available from Vol 1 Issue 1 (1991)

 

 

AUDIENCE

Institutional bond investors, portfolio managers, analysts, investment officers, plan sponsors, traders, academics, librarians, and principals.

ABOUT THE JOURNAL

The Journal of Fixed Income (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.

MISSION

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. 

VISION

The Journal of Fixed Income aims to be the forum for academics and fixed income portfolio managers to exchange information that advances the practice of investment management.

HISTORY

The Journal of Fixed Income 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.

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 here.

INDEXED IN

Google Scholar, Scopus