Murat Aydogdu
Academic Background
Master’s in Information and Data Science (MIDS), UC Berkeley, May 2016
PhD Finance, The University of Iowa, July 2000
MBA, University of Massachusetts at Boston, June 1993
BS Computer Science, Hacettepe University, Ankara, Turkey, July 1989
Certifications
IBM Applied AI (Coursera, 2020)
Deep Learning (Coursera, 2018)
Courses Taught
Data Visualization / Personal Finance / Financial Management / Financial Markets & Institutions Advanced Corporate Finance / Investments / International Financial Management / Derivatives / Financial Modeling / Seminar in Finance
Research Interests
machine learning / deep learning, natural language processing, empirical market microstructure, shareholder activism, institutional investing, mutual funds, ETFs, market efficiency, earnings forecasts
Selected Publications
“Using long short‐term memory neural networks to analyze SEC 13D filings: A recipe for human and machine interaction”, joint work with with David Louton and Hakan Saraoglu, Intelligent Systems in Accounting, Finance, and Management, Volume 26, Issue 4 (2019), Pages 153 - 163
“The Impact of Option Listing on the Trading Activity of Turkcell’s American Depository Receipt (ADR)”, joint work with Asli Ascioglu and Lynn Kugele, Boğaziçi Journal: Review of Social, Economic and Administrative Studies, Volume 27, Number 1 (2013)
"Does Mutual Fund Advertising Work? A First Look at a Comprehensive New Database", joint work with Jay Wellman, Financial Management Volume 40, Number 3 (2011), Pages 785 - 809
"Some Evidence on the Secondary Market Trading of Syndicated Loans", joint work with Peter Nigro and Jonathan Jones, Journal of Business and Economics Research, Volume 5, Issue 5, May 2010
