Michael Roberts

All Courses

• FNCE2370 - Data Science For Finance

  This course will introduce students to data science for financial applications using the Python programming language and its ecosystem of packages (e.g., Dask, Matplotlib, Numpy, Numba, Pandas, SciPy, Scikit-Learn, StatsModels). To do so, students will investigate a variety of empirical questions from different areas within finance including: FinTech, investment management, corporate finance, corporate governance, venture capital, private equity, and entrepreneurial finance. The course will highlight how big data and data analytics shape the way finance is practiced. Some programming experience is helpful though knowledge of Python is not assumed.

• FNCE3990 - Independent Study

  Integrates the work of the various courses and familiarizes the student with the tools and techniques of research.

• FNCE6110 - Corporate Finance

  This course serves as an introduction to business finance (corporate financial management and investments) for both non-majors and majors preparing for upper-level course work. The primary objective is to provide the framework, concepts, and tools for analyzing financial decisions based on fundamental principles of modern financial theory. The approach is rigorous and analytical. Topics covered include discounted cash flow techniques; corporate capital budgeting and valuation; investment decisions under uncertainty; capital asset pricing; options; and market efficiency. The course will also analyze corporate financial policy, including capital structure, cost of capital, dividend policy, and related issues. Additional topics will differ according to individual instructors.

• FNCE6210 - Corporate Finance (Half CU)

  (Formerly FNCE 614) This half-semester course serves as an introduction to corporate investments for non-majors. The primary objective is to provide a framework, concepts, and tools for analyzing financial decisions based on fundamental principles of modern financial theory. Topics covered include discounted cash flow techniques, corporate capital budgeting and valuation, investment decisions under uncertainty, and capital asset pricing. The approach is rigorous and analytical but the course will not cover several topics included in the full semester Corporate Finance course, including: market efficiency, corporate financial policy (including capital structure, cost of capital, dividend policy, and related issues), and options.

• FNCE8990 - Independent Study

  Independent Study Projects require extensive independent work and a considerable amount of writing. ISP in Finance are intended to give students the opportunity to study a particular topic in Finance in greater depth than is covered in the curriculum. The application for ISP's should outline a plan of study that requires at least as much work as a typical course in the Finance Department that meets twice a week. Applications for FNCE 8990 ISP's will not be accepted after the THIRD WEEK OF THE SEMESTER. ISP's must be supervised by a Standing Faculty member of the Finance Department.

• FNCE9260 - Empirical Meth Corp Fn

  The course will cover a variety of micro-econometric models and methods including panel data models, program evaluation methods e.g. difference in differences, matching techniques, regression discontinuity design, instrumental variables, duration models, structural estimation, simulated methods of moments. The structure of the course consists of lectures, student presentations, and empirical exercises. Published studies will be utilized in a variety of fields such as corporate finance, labor economics, and industrial organization to illustrate the various techniques. The goal of the course is to provide students with a working knowledge of various econometric techniques that they can apply in their own research. As such, the emphasis of the course is on applications, not theory. Students are required to have taken a graduate sequence in Econometrics, you should be comfortable with econometrics at the level of William Green's "Econometric Analysis of Cross-Section and Panel Data".

• Jensen Prize – First place paper on corporate finance and organizations published in the Journal of Financial Economics, 2016 Description

  Best paper on corporate finance and organizations published in the Journal of Financial Economics

• Helen Kardon Moss Anvil Teaching Award, Nominee, The Wharton School, 2015
• Core Curriculum Teaching Award, The Wharton School, 2015
• Marshall E. Blume Prize – First Place, 2014
• Greener Family Fellowship, The Wharton School, 2013
• Jacobs Levy Equity Management Center for Quantitative Financial Research Fellowship, The Wharton School, 2013
• Rising Stars of Finance, 2012
• Financial Research Associate, Best Discussant, 2012
• Helen Kardon Moss Anvil Teaching Award, Nominee, The Wharton School, 2012
• Geewax, Terker, and Co. Prize, Distinguished paper published by Rodney L. White Center, 2010
• Rodney L. White Center Research Grant, The Wharton School, 2009
• Brattle Prize, Nominee for Best Paper Published in the Journal of Finance, 2008
• Brattle Prize, Distinguished Award for Best Paper published in the Journal of Finance, 2008
• Excellence in Teaching Award, The Wharton School, 2008
• Greek Executive Council Honorable Recognition, University of Pennsylvania, 2007
• Aronson, Johnson, and Ortiz Research Fellowship, The Wharton School, 2007
• Rodney L. White Center Research Grant, The Wharton School, 2007
• Brattle Prize, Distinguished Award for Best Paper published in the Journal of Finance, 2006
• Geewax, Terker, and Co. Prize, Distinguished paper published by Rodney L. White Center, 2006
• Greek Executive Council Honorable Recognition, University of Pennsylvania, 2006
• David W. Hauk Award for Outstanding Teaching, The Wharton School, 2006
• Excellence in Teaching Award, The Wharton School, 2006
• Review of Financial Studies, Outstanding Referee Award, 2005
• NYSE Fellowship, The Wharton School, 2005
• Rodney L. White Center Research Grant, The Wharton School, 2005
• Financial Management Association Award, Best Paper in Corporate Finance, 2004
• Southwestern Finance Association, Best Paper in Corporate Finance, 2004
• Excellence in Teaching Award, The Wharton School, 2004
• Daimler-Chrysler Core Teaching Award, Duke University, 2004
• Rodney L. White Center Research Grant, The Wharton School, 2004
• CIBER International Research Grant, Duke University, 2003
• Hartman Center Grant, Duke University, 2003
• CIBER International Research Grant, Duke University, 2002
• Elizabeth Schott Award for Excellence in Statistical Research, University of California Berkeley, 2000
• UC Regents Fellowship, University of California Berkeley, 2000

Knowledge at Wharton

• Does Generative AI Solve the Financial Literacy Problem?, Knowledge at Wharton - 6/27/2023
• Should I Pay Off My Mortgage Early in This Economy?, Knowledge at Wharton - 5/22/2023
• Making Sense of Stock Buybacks, Knowledge at Wharton - 3/7/2023
• How Analytics Is Changing Finance, Knowledge at Wharton - 11/29/2022
• Why Erasing Student Debt Won’t Fix the Problem, Knowledge at Wharton - 6/21/2022
• Why Finance Should Be Mandatory for High School Students (and Their Parents), Knowledge at Wharton - 10/5/2021
• Shopping for a Mortgage? Consider the Trade-offs, Knowledge at Wharton - 4/5/2021
• Think Twice Before Paying Off Your Mortgage Early, Knowledge at Wharton - 3/15/2021
• Why Collateralized Loan Obligations Will Not Cause the Next Financial Crisis, Knowledge at Wharton - 8/10/2020
• How Government Debt Shapes Corporate Behavior, Knowledge at Wharton - 3/25/2015

Wharton Stories

• Empowering High School Students with the Essentials of Finance, Wharton Stories - 08/19/2022
• How Mentorship Enables the Transition from PhD Student to Research Colleague, Wharton Stories - 11/13/2014