Martin Schmalz is a Princeton-trained financial economist and tenured Associate Professor of Finance at Saïd Business School, University of Oxford, where he teaches Big Data and AI applications in Oxford’s business, law, engineering and executive programs.
Outside of Oxford, Martin coaches top-level executives and policy makers, and consults with family offices and UHNWI on asset management and succession planning. His research on how the ownership structure of firms affects firm behaviour and market outcomes has affected policy-making and antitrust enforcement worldwide.
He holds a graduate degree (Dipl.-Ing.) in mechanical engineering from the Universität Stuttgart (Germany) and a M.A. and PhD in Economics from Princeton University (USA).
He co-authored “The Business of Big Data: How to Create Lasting Value in the Age of AI”, and was featured as one of the “40 under 40” best business school professors worldwide at the age of 33. He was invited to present to regulators and policy makers across the globe, including the US Department of Justice, The White House Council of Economic Advisers, European Commission, European Parliament, OECD, various central banks, and at universities across America, Europe, Asia, and Australia.
His prize-winning research focuses on corporate governance, financial economics, and strategy. It has been published in The Journal of Finance, Journal of Financial Economics, and Review of Financial Studies, and was covered, among others, by The New York Times, The Economist, Wall Street Journal, Financial Times, Bloomberg, The New Yorker, The Atlantic, Forbes, Fortune, Handelsblatt, and Frankfurter Allgemeine Zeitung.