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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Search results: 2.

Taking the Long Way Home: U.S. Tax Evasion and Offshore Investments in U.S. Equity and Debt Markets

Published: 11/04/2013   |   DOI: 10.1111/jofi.12120

MICHELLE HANLON, EDWARD L. MAYDEW, JACOB R. THORNOCK

We empirically investigate one form of illegal investor‐level tax evasion and its effect on foreign portfolio investment. In particular, we examine a form of round‐tripping tax evasion in which U.S. individuals hide funds in entities located in offshore tax havens and then invest those funds in U.S. securities markets. Employing Becker's () economic theory of crime, we identify the tax evasion component by examining how foreign portfolio investment varies with changes in the incentives to evade and the risks of detection. To our knowledge, this is the first empirical evidence of investor‐level tax evasion affecting cross‐border equity and debt investment.


Anomaly Time

Published: 07/18/2024   |   DOI: 10.1111/jofi.13372

BOONE BOWLES, ADAM V. REED, MATTHEW C. RINGGENBERG, JACOB R. THORNOCK

We examine the timing of returns around the publication of anomaly trading signals. Using a database that captures when information is first publicly released, we show that anomaly returns are concentrated in the first month after information release dates, and these returns decay soon thereafter. We also show that the academic convention of forming portfolios in June underestimates predictability because it uses stale information, which makes some anomalies appear insignificant. In contrast, we show many anomalies do predict returns if portfolios are formed immediately after information releases. Finally, we develop guidance on forming portfolios without using stale information.