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Executive Editor: Matthew Spiegel ♦ Editors: Geert Bekaert, Paolo Fulghieri, Alexander Ljungqvist, Laura Starks, Pietro Veronesi, Michael Weisbach
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News

March 8, 2010:

Should the RFS adopt a policy requiring authors to make their data available to the profession as a condition of publication? There are many pros and cons to this. Prior to adopting a policy, if any, we would welcome an opportunity to obtain your views in the RFS Forum.

December 28, 2009:

All of the decision letters for the Utah Winter Finance Conference dual submission papers have now gone out. If you are expecting to receive one and have not then please contact Matthew Spiegel at your earliest convenience.

December 8, 2009:

The Utah Winter Finance Conference reviews have been forwarded to the RFS. We hope to have decisions out prior to the New Year. Unfortunately, at this point that cannot be guaranteed. The editor in charge of the reviews, Matthew Spiegel, will soon be on the road for two weeks. But he has promised to work on processing the 100+ submissions from the conference as quickly as possible.

Send comments regarding this web page to Matthew Spiegel.

Turnaround:
Mean: 59.17 days
Median: 52 days
Total Submissions
(since 03/10/09): 1013
Acceptance Rate: 3.26%

Conference Announcements
Entrepreneurial Finance and Innovation Conference
June 14-15, 2010
The Inn at Harvard
Boston, MA
SUBMISSION DEADLINE: March 15

Texas Finance Festival
April 30 - May 1, 2010
AT&T Executive Education and Conference Center
Austin, TX
SUBMISSION DEADLINE: February 1, 2010


COLOR Pages!
The RFS publishes pages in color! You can include figures for free in the PDF files posted at Oxford University's web page Advanced Access. If you want some or all of the figures to appear in color in the printed version as well there is a service fee of $600 per figure. This just covers the journal's costs.
Forthcoming in the RFS

Benchmarking Money Manager Performance: Issues and Evidence
by Louis K. C. Chan, Stephen G. Dimmock, and Josef Lakonishok

Academic and practitioner research evaluates portfolio performance using size and value/growth attributes or factors. We assess the merits of popular evaluation procedures based on matched-characteristic benchmark portfolios or time-series return regressions by applying them to a sample of active money managers and passive indexes. Estimated abnormal returns display large variation across approaches. The benchmarks typically used in academic research—attribute-matched portfolios from independent sorts, the three-factor time-series model, and cross-sectional regressions of returns on stock characteristics—track returns poorly. Some simple alterations improve the performance of these methods.

 

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