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.

AFA members can log in to view full-text articles below.

View past issues


Search the Journal of Finance:






Search results: 2.

Stapled Finance

Published: 05/07/2010   |   DOI: 10.1111/j.1540-6261.2010.01557.x

PAUL POVEL, RAJDEEP SINGH

“Stapled finance” is a loan commitment arranged by a seller in an M&A setting. Whoever wins the bidding contest has the option (not the obligation) to accept this loan commitment. We show that stapled finance increases bidding competition by subsidizing weak bidders, who raise their bids and thereby the price that strong bidders (who are more likely to win) must pay. The lender expects not to break even and must be compensated for offering the loan. This reduces but does not eliminate the seller's benefit. It also implies that stapled finance loans will show poorer performance than other buyout loans.


Boom and Gloom

Published: 02/03/2016   |   DOI: 10.1111/jofi.12391

PAUL POVEL, GIORGO SERTSIOS, RENÁTA KOSOVÁ, PRAVEEN KUMAR

We study the performance of investments made at different points of an investment cycle. We use a large data set covering hotels in the United States, with rich details on their location, characteristics, and performance. We find that hotels built during hotel construction booms underperform their peers. For hotels built during local hotel construction booms, this underperformance persists for several decades. We examine possible explanations for this long‐lasting underperformance. The evidence is consistent with information‐based herding explanations.