The finance discipline in the Management PhD program prepares you to become a productive researcher and teacher at a top university. Each student follows a slightly different path, depending on research interests, allowing you some flexibility in the curriculum below.
Typically five of the following:
• ECON 609 Macroeconomic Theory I
• ECON 611 Mathematics for Economists I (required)
• ECON 613 Introduction to Econometric Theory (required
• ECON 655 Microeconomic Theory I (required)
• MGF 740SEM Theory of Finance Seminar (required when open)
• MGG 700 Research Design
Typically four of the following, with at least one being a finance class:
The scope and objectives of corporate financial management are introduced along with the concept of the risk- return trade-off. The various sources of capital are discussed, along with their costs. Financial planning with special emphasis on the evaluation of capital projects is considered. The implications of the efficient market hypothesis are considered throughout the course.
Credits: variable
Semesters offered: Fall 2023
Fall 2023 (09/02/2023 - 12/09/2023)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 23587 | SSAT | LEC | S | 9 - 11:40 a.m. | Jacobs 110 | Jiang, Feng | |
| 18545 | SAT | LEC | S | 9 - 11:40 a.m. | Jacobs 110 | Jiang, Feng | |
| 23586 | STUE | LEC | T | 6:30 - 9:10 p.m. | Jacobs 110 | Jiang, Feng | |
| 11610 | TUES | LEC | T | 6:30 - 9:10 p.m. | Jacobs 110 | Jiang, Feng |
Students taking this course should expect to learn about financial derivatives. Among others, students will learn about how to price financial derivatives and how to incorporate various real-world frictions into binomial trees and stochastic processes (such as underlying the commonly used Black & Scholes model). In a case-study we will use R programming to replicate the risk-neutral price of a variance swap (underlying the so called Volatility Index or VIX). The course will be of particular interest for students who contemplate pursuing a career in the financial industry, e.g. as a Quantitative Analyst. The required prior courses depend on your trajectory (e.g., MGF 633 "Investment Management" or MGF 634 "Quantitative Methods in Finance"). Please consult your study guide for details. In general, students are expected to possess good knowledge of mathematics and statistics. Students should also feel comfortable with Excel and some basic programming knowledge will be helpful. Mathematical, statistical, and Excel skills required for this course will be reviewed during the course.
Credits: 3.00
Semesters offered: Spring 2023
Spring 2023 (01/30/2023 - 05/12/2023)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 11308 | S1F | LEC | MW | 11 a.m. - 12:20 p.m. | Jacobs 110 | Roesch, Dominik Maximilian |
This is a course about fixed-income securities and markets. It covers topics that are important for any MBA student that anticipates hedging interest rate exposures or otherwise transacting in the fixed-income market. The course reviews basic bond pricing concepts and important features of interest rate futures and options contracts. It also introduces a few (somewhat complicated) models of the term structure. This is a rigorous course that requires students to be familiar with basic investments and calculus concepts. While MGF633 is not a prerequisite for this course, students that are taking MGF633 simultaneously with the course will be better prepared. Like most finance courses, the course focuses more on lasting financial principles than on current institutional details.
Credits: 3.00
Semesters offered: Spring 2023
Spring 2023 (01/30/2023 - 05/12/2023)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 11234 | S1F | LEC | TR | 9:30 - 10:50 a.m. | Remote | Hunter, Nicole Louise |
MGF 741SEM Corporate Finance (required when open)
• ECON 665 Microeconomic Theory II (required)
• ECON 612 Mathematics for Economists II (required)
• ECON 614 Econometric Applications and Methods (required)
By the end of the first year, you will be expected to present a paper outlining your current progress in an area of research and how you might contribute in the future.
If you are a doctoral student in the School of Management who is interested in obtaining an external area of focus in Economics, you should consult with your academic advisor. The following courses satisfy the Management doctoral core requirements in statistics (two courses) as well as the requirements for an external focus area in Economics (a grade point average of 3.0 is required in external focus area courses).
ECON 611 Mathematics for Economists I
ECON 613 Introduction to Econometric Theory
ECON 665 Microeconomic Theory I
Plus one course from the following:
ECON 614 Econometric Theory II
ECON 712 Econometrics: Time Series Analysis
ECON 731 Optimal Contract Theory
ECON 666 Microeconomic Theory II
MGO 797 Accounting workshops are required for one credit-hour.
If you are a doctoral student outside of the School of Management who is interested in obtaining an external area of focus in Finance, you should consult with your academic advisor. Course requirements are:
This course provides students with a general understanding of the operation of capital markets and basic analytical tools of investment management. Specifically, the course covers such topics as principles of valuation, risk analysis, modern portfolio theory, Capital Asset Pricing Model (CAPM), market microstructure, index models, arbitrage pricing models, bonds and common stocks valuation, efficient market hypotheses, investment management, and option pricing models.
Credits: 3.00
Semesters offered: Fall 2023 | Spring 2023
Fall 2023 (08/28/2023 - 12/11/2023)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 22822 | F2F | LEC | T | 6:30 - 9:10 p.m. | Jacobs 122 | Gaonkar, Roshan | |
| 11623 | F1F | LEC | TR | 11 a.m. - 12:20 p.m. | Jacobs 110 | Jiang, Feng |
Spring 2023 (01/30/2023 - 05/12/2023)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 11306 | S1F | LEC | MW | 12:30 - 1:50 p.m. | Jacobs 112 | Chung, Kee Ho |
Students taking this course should expect to learn about financial derivatives. Among others, students will learn about how to price financial derivatives and how to incorporate various real-world frictions into binomial trees and stochastic processes (such as underlying the commonly used Black & Scholes model). In a case-study we will use R programming to replicate the risk-neutral price of a variance swap (underlying the so called Volatility Index or VIX). The course will be of particular interest for students who contemplate pursuing a career in the financial industry, e.g. as a Quantitative Analyst. The required prior courses depend on your trajectory (e.g., MGF 633 "Investment Management" or MGF 634 "Quantitative Methods in Finance"). Please consult your study guide for details. In general, students are expected to possess good knowledge of mathematics and statistics. Students should also feel comfortable with Excel and some basic programming knowledge will be helpful. Mathematical, statistical, and Excel skills required for this course will be reviewed during the course.
Credits: 3.00
Semesters offered: Spring 2023
Spring 2023 (01/30/2023 - 05/12/2023)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 11308 | S1F | LEC | MW | 11 a.m. - 12:20 p.m. | Jacobs 110 | Roesch, Dominik Maximilian |
This course provides an in-depth treatment of corporate finance concepts for all finance majors, with the purpose of furthering students' understanding of major corporate financial policies and decisions. These decisions include choosing between competing investment opportunities, measuring risk and return, how to value a business, how much debt to issue, how much equity to issue, what level of dividend to payout, and incentive structure for managers, and so on. The course starts with a discussion on corporate financial goals and corporate governance issues. It then proceeds to cover topics that center on corporate investment decisions, corporate valuation, and capital structure issues.
Credits: 3.00
Semesters offered: Fall 2023 | Spring 2023
Fall 2023 (08/28/2023 - 12/11/2023)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 11466 | F1F | LEC | TR | 2 - 3:20 p.m. | Cooke 127B | Labert, Thomas A |
Spring 2023 (01/30/2023 - 05/12/2023)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 11312 | S1F | LEC | F | 10 a.m. - 12:40 p.m. | Jacobs 110 | Dunbar, John Francis |
MGF 740 Theory of Finance
Students taking this course should expect to learn about financial derivatives. Among others, students will learn about how to price financial derivatives and how to incorporate various real-world frictions into binomial trees and stochastic processes (such as underlying the commonly used Black & Scholes model). In a case-study we will use R programming to replicate the risk-neutral price of a variance swap (underlying the so called Volatility Index or VIX). The course will be of particular interest for students who contemplate pursuing a career in the financial industry, e.g. as a Quantitative Analyst. The required prior courses depend on your trajectory (e.g., MGF 633 "Investment Management" or MGF 634 "Quantitative Methods in Finance"). Please consult your study guide for details. In general, students are expected to possess good knowledge of mathematics and statistics. Students should also feel comfortable with Excel and some basic programming knowledge will be helpful. Mathematical, statistical, and Excel skills required for this course will be reviewed during the course.
Credits: 3.00
Semesters offered: Spring 2023
Spring 2023 (01/30/2023 - 05/12/2023)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 11308 | S1F | LEC | MW | 11 a.m. - 12:20 p.m. | Jacobs 110 | Roesch, Dominik Maximilian |
MGF 742 Information and Capital Markets
Any of the 600-level courses may be waived if the student has had an equivalent prior course.
Refer to the PhD Handbook for complete information on:
