The Journal of Finance

The Journal of Finance publishes leading research across all the major fields of finance. It is one of the most widely cited journals in academic finance, and in all of economics. Each of the six issues per year reaches over 8,000 academics, finance professionals, libraries, and government and financial institutions around the world. The journal is the official publication of The American Finance Association, the premier academic organization devoted to the study and promotion of knowledge about financial economics.

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Trading Activity and Price Volatility in the Municipal Bond Market

Published: 03/25/2004   |   DOI: 10.1111/j.1540-6261.2004.00652.x

Chris Downing, Frank Zhang

Utilizing a comprehensive database of transactions in municipal bonds, we investigate the volume–volatility relation in the municipal bond market. We find a positive relation between the number of transactions and a bond's price volatility. In contrast to previous studies, we find a negative relation between average deal size and price volatility. These results are found to be robust throughout the sample. Our results are inconsistent with current theoretical models of the volume–volatility relation. These inconsistencies may arise because current models fail to account for the effects of overall market liquidity on the costs of large transactions.


Liquidity or Credit Risk? The Determinants of Very Short‐Term Corporate Yield Spreads

Published: 09/04/2007   |   DOI: 10.1111/j.1540-6261.2007.01276.x

DAN COVITZ, CHRIS DOWNING

Employing a comprehensive database on transactions of commercial paper issued by domestic U.S. nonfinancial corporations, we study the determinants of very short‐term corporate yield spreads. We find that liquidity plays a role in the determination of spreads but, somewhat surprisingly, credit quality is the more important determinant of spreads, even at horizons of less than 1 month. These results are robust across a variety of proxies for liquidity and credit risk, and have important implications for the literature on the modeling of corporate bond prices.