Editorial Statement—Finance
Finance
Renee Adams, University of New South Wales
Karl Diether, Brigham Young University
Kay Giesecke, Stanford University
Gustavo Manso, University of California, Berkeley
Tomasz Piskorski, Columbia University
Tyler Shumway, University of Michigan
The goal of the Finance Department of Management Science is to be a competitive alternative to the top three journals in Finance.
All signs are positive that the Finance Department can achieve this goal. It is currently the fastest growing section of the journal. The interdisciplinary nature of Management Science encourages submissions of innovative work with high potential for long-run impact. Its strong commitment to a double-blind and fast review process with quick desk-rejections when the fit is poor guarantees authors an unbiased and fair review process.
We continue to encourage submission of papers in all areas of finance, but especially those that have the potential to influence financial practice. We are particularly interested in papers that examine substantial issues in important emerging areas. Financial technology, which represents potentially transformative innovations such as blockchain, cryptocurrencies, and artificial intelligence applications, constitutes one such area. We look for thoughtful papers that are creative, insightful, and policy relevant. When it comes to theoretical work, we are looking for papers that change our way of thinking on important topics. When it comes to empirical work, we prefer honest papers that provide a balanced view of the evidence and acknowledge limitations of their empirical designs. We welcome well-crafted papers that provide rigorous identification of existing theories. But, we also welcome papers that break new ground even when identification is not perfect. We also look for papers that break new ground on the empirical-methodological front, especially those that develop and analyze innovative statistical methods which harness advances in areas such as machine learning, computation, algorithms, and big data. Such papers may very well cut across departmental boundaries. We strongly believe in the importance of reproducibility and encourage authors to provide or make available enough information and data so that the results can be replicated.
