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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Search results: 3.
Informational Black Holes in Financial Markets
Published: 08/15/2023 | DOI: 10.1111/jofi.13270
ULF AXELSON, IGOR MAKAROV
We show that information aggregation in primary financial markets fails precisely when investors hold socially useful information for screening projects. Being wary of the Winner's Curse, less optimistic investors refrain from making financing offers, since their offers would be accepted only when a project is unviable. Their information is therefore lost. The Winner's Curse and associated information loss grow with the number of informed market participants, so that larger markets can lead to worse financing decisions and higher cost of capital for firms seeking financing. Precommitment to ration fundraising allocations, collusive club bidding, and shorting markets can mitigate the inefficiency.
Equilibrium Subprime Lending
Published: 01/30/2013 | DOI: 10.1111/jofi.12022
IGOR MAKAROV, GUILLAUME PLANTIN
This paper develops an equilibrium model of a subprime mortgage market. Our goal is to offer a benchmark with which the recent subprime boom and bust can be compared. The model is tractable and delivers plausible orders of magnitude for borrowing capacities, as well as default and trading intensities. We offer simple explanations for several phenomena in the subprime market, such as the prevalence of teaser rates and the clustering of defaults. In our model, both nondiversifiable and diversifiable income risks reduce debt capacities. Thus, debt capacities need not be higher when a larger fraction of income risk is diversifiable.
Rewarding Trading Skills without Inducing Gambling
Published: 02/24/2015 | DOI: 10.1111/jofi.12257
IGOR MAKAROV, GUILLAUME PLANTIN
This paper develops a model of active asset management in which fund managers may forgo alpha‐generating strategies, preferring instead to make negative‐alpha trades that enable them to temporarily manipulate investors' perceptions of their skills. We show that such trades are optimally generated by taking on hidden tail risk, and are more likely to occur when fund managers are impatient and when their trading skills are scalable, and generate a high profit per unit of risk. We propose long‐term contracts that deter this behavior by dynamically adjusting the dates on which the manager is compensated in response to her cumulative performance.