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Innovation & Entrepreneurship Collection

Oxford University Press presents the Innovation & Entrepreneurship Collection, featuring the following papers from RCFS: Corporate Innovation and Returns by Jan Bena and Lorenzo Garlappi Lending to Innovative Firms by Sudheer Chava, Vikram Nanda, and Steven Chong Xiao The featured papers are free to read through the end of June on Oxford University Press’s web site.

Innovation & Entrepreneurship Collection

Oxford University Press presents the Innovation & Entrepreneurship Collection, featuring the following papers from RFS: Destructive Creation at Work: How Financial Distress Spurs Entrepreneurship by Tania Babina The Political Economy of Financial Innovation: Evidence from Local Governments by Christophe Pérignon and Boris Vallée How Valuable Is FinTech Innovation? by Mark A. Chen, Qinxi Wu, and Baozhong Yang Intellectual Property Rights Protection, Ownership, and Innovation: Evidence from China by Lily H. Fang,… Read More »Innovation & Entrepreneurship Collection

Special Issue: New Methods in the Cross-Section

Issue 33(5) of RFS is a special issue, edited by G. Andrew Karolyi and Stijn Van Nieuwerburgh. The editorial is free to read online. The Editor’s Choice paper is “Comparing Cross-Section and Time-Series Factor Models” by Eugene F. Fama and Kenneth R. French

Forthcoming Paper

“Rethinking the Use of Credit Ratings in Capital Regulations: Evidence From the Insurance Industry” by Kathleen Weiss Hanley and Stanislava Nikolova

FinTech & Innovation Collection

The SFS presents our FinTech & Innovation Collection, featuring papers from RAPS, RCFS, and RFS. The featured papers are free to read on Oxford University Press’s web site.

Forthcoming Paper

“Monetary Policy and Corporate Bond Returns” by Haifeng Guo, Alexandros Kontonikas, and Paulo Maio

Forthcoming Paper

“Information Bias in the Proxy Advisory Market” by Shichao Ma and Yan Xiong

Winning Bid for SFS Cavalcade Asia-Pacific 2020

SFS is pleased to announce that SFS Cavalcade Asia-Pacific 2020 will be hosted by the Chinese University of Hong Kong in Shenzhen, China. This decision is based on the assumption that the world will be back to normal by December 2020.