## Results for FINANCE |
16 courses |

This seminar is designed to provide some experience with research methods and topics in finance, and to assist undergraduates with career interests in financial research, whether academic or not, with preparation for those careers. The seminar meetings are weekly and discussion based, covering a range of issues and methods in financial economics. Students are expected to prepare a 30-minute research presentation once during the quarter. To be considered for enrollment in this course, students need to complete an application, found here: https://forms.gle/aLB279vF3DJUJSgAA

Terms: Win
| Units: 1

Instructors: ; Duffie, D. (PI)

As entrepreneurs, global leaders, and change agents tasked with developing transformative solutions of tomorrow, you will need certain skills and tools to interact with and navigate the complex and ever-changing financial landscape. This course focuses on the development of these skills and tools through the analysis of concise real-world financial situations around the globe. Topics include valuation of cash flows and control; the capital structure, payout policy and governance of both mature and entrepreneurial firms; restructuring and managing financial distress; the use of public markets to obtain liquidity and multiple share classes to retain control; financing and governance in venture capital and private equity; the rise of activism; and social responsibility and debates about the objectives of the firms of the present and future. This course is taught jointly by Professors Rauh and Seru.

Terms: Win
| Units: 3

Instructors: ; Seru, A. (PI); Davis, S. (GP)

This course will develop and apply the basic tools and models of corporate finance to real-world corporate decisions. This course is designed to be the second course in the standard finance sequence; that is, it is designed to be the natural follow-up to the Winter Managerial Finance course. This course will develop and extend standard tools and techniques of financial analysis, valuation, and model-building, and apply these methods to a wide range of cases. Case topics will include mergers and acquisitions, private equity, corporate governance, capital structure, agency conflicts, and corporate restructuring. For all of these applications, this course will emphasize the central importance of financial analysis, valuation, and modeling to guiding optimal decision making.

Terms: Win
| Units: 3

Instructors: ; Mertens, T. (PI); Pola, M. (GP)

This course teaches recent advances in asset allocation and management. We emphasize the practical implementation of asset allocation and management tools in allocating assets, selecting asset managers and managing risk. The course focuses on alternative asset classes. Students apply these tools to real-time data in the computer lab. Topics covered include Asset Allocation; Delegated Asset Management and Manager Selection applied to Mutual Funds, Hedge Funds and Private Equity Funds; Multi-factor models and Factor Investing. The class will be co-taught by Ana Marshall, the CIO of the Hewlett Foundation, and Hanno Lustig, who is on the Allocation Advisory Board of the NBIM.

Terms: Win
| Units: 3

This MBA elective explores innovative ways that start-ups are expanding the financial capacities of households and small businesses. What are the financial frictions that household/business facing impactful FinTech startups are addressing? What economic and behavioral forces are governing the successes of these startups? How is the choice of funding/business model impacting growth/scaling strategies? How is the competitive landscape evolving for traditional banks, established tech platforms, and FinTech startups? While the center of attention will be on disruption of financial services within the US legal and regulatory environments, we will frequently highlight recent innovations in Asia, Europe, and Latin America.

Terms: Win
| Units: 3

Instructors: ; Blattner, L. (PI); Zweig, S. (GP)

This course provides an intensive overview of financial restructuring transactions and processes from the perspective of distressed firms and their key stakeholders. It is intended for those who plan careers in general management, private equity, credit and special situations investing, banking, turnaround management, or financial advisory services. The course examines how companies may use in-court or out-of-court tools and processes to renegotiate their key contracts with creditors and other stakeholders when they encounter challenging business situations. Students will explore the financial, strategic, and legal implications of workouts, bankruptcies, asset/363 sales, and exchange offers, as applied in the context of financially distressed companies. Topics include valuation, absolute priority, creditor committees, intercreditor conflicts, debtor-in-possession (DIP) financings, 'blocking' strategies, avoidance powers, contingent claims, tax considerations, international insolvency, and distressed investment strategy. In exploring these topics, the course focuses on the key legal and contractual rights that creditors and other counterparties possess, and how they may use these rights to optimize their negotiated outcomes in a restructuring. Students will gain the tools to identify distress before it occurs, analyze distressed companies, and design restructuring plans which create enterprise value while navigating various considerations. They will also gain an understand of how to structure financial obligations upon origination in a way to lower the probability of financial distress. Finally, the course will examine the purpose of bankruptcy design and future policy implications. The course is lecture-focused in the beginning, but will become more interactive and case-focused later in the course as students acquire the skills they need to tackle key issues. Grading will be based upon class participation (50%), and a paper due at the end of the quarter (50%). For the paper, each student will select a distressed company currently in the market and design a restructuring plan for it.

Terms: Win
| Units: 3

Financial crises are as old as financial markets themselves. There are many similarities between historical events. The crisis of 2008, for example, is far from unique. More often than not financial crises are the result of bubbles in certain asset classes or can be linked to a specific form of financial innovation. This course gives an overview of the history of financial crises, asset price bubbles, banking collapses and debt crises. We start with the Tulip mania in 1636 and end with the recent Euro crisis. The purpose of the course is to understand the causes of past crises and to develop a conceptual framework that ties common elements together. We will discuss the lessons that we can draw for financial markets today.

Terms: Win
| Units: 3

This 2-unit elective at the GSB is an "Overview" of the private equity industry including its reason for being, its growth and the various strategies for success that private equity firms employ. The course looks at all aspects of private equity partnerships and private equity investing. The course may be of particular interest to five groups of students: (i) students who aspire to be employed in private equity as a career; (ii) students who plan to be employed by companies that are owned by private equity firms; (iii) students who may invest in private equity partnerships as a limited partner; (iv) students who find private equity to be an interesting part of the financial services industry, and (v) students who expect to participate in corporate business development or mergers and acquisitions. The course will meet for nine classes. Each class will have at least one senior partner from a private equity firm to comment on the activities of his firm. In years past, some of the true leaders of the industry have participated. One class will be a mock investment review committee presentation as a final project.

Terms: Win
| Units: 2

Instructors: ; Parker, G. (PI); Lion-Transler, C. (GP)

This course is an introductory PhD level course in financial economics. We begin with individual choice under uncertainty, then move on to equilibrium models, the stochastic discount factor methodology, and no-arbitrage pricing. We will also address some empirical puzzles relating to asset markets, and explore the models that have been developed to try to explain them.

Terms: Win
| Units: 3

Instructors: ; Hebert, B. (PI); Dubon, M. (GP)

This course is an introduction to multiperiod models in finance, mainly pertaining to optimal portfolio choice and asset pricing. The course begins with discrete-time models for portfolio choice and security prices, and then moves to a continuous-time setting. The topics then covered include advanced derivative pricing models, models of the term structure of interest rates, the valuation of corporate securities, portfolio choice in continuous-time settings, and finally finally market design. Students should have had some previous doctoral-level exposure to general equilibrium theory and some basic courses in investments. Strong backgrounds in calculus, linear algebra, and probability theory are recommended. Problem assignments are frequent and, for most students, demanding. Prerequisite: F620 and MGTECON600 (or equivalent), or permission of instructor.

Terms: Win
| Units: 4

Instructors: ; Duffie, D. (PI); Rodriguez, T. (GP)

This PhD course will cover research topics at the boundary between macroeconomics and finance. Topics will include the study of macroeconomic models with financial frictions, the term structure of interest rates, conventional and unconventional monetary policy, sovereign debt crises, search frictions and segmentation in housing markets, (over)leveraging by households, heterogeneous expectations, excess volatility, financial bubbles and crises. Student presentations and course paper requirement. Designed for second year PhD students in economics or finance.

Terms: Win
| Units: 3

This course is offered for students requiring specialized training in an area not covered by existing courses. To register, a student must obtain permission from the faculty member who is willing to supervise the reading.

Terms: Aut, Win, Spr, Sum
| Units: 1-15
| Repeatable
for credit

Instructors: ; Admati, A. (PI); Begenau, J. (PI); Berk, J. (PI); Bernstein, S. (PI); Blattner, L. (PI); Buchak, G. (PI); DeMarzo, P. (PI); Duffie, D. (PI); Grenadier, S. (PI); Hebert, B. (PI); Koudijs, P. (PI); Krishnamurthy, A. (PI); Lustig, H. (PI); Maggiori, M. (PI); McQuade, T. (PI); Pfleiderer, P. (PI); Rauh, J. (PI); Robles Garcia, C. (PI); Seru, A. (PI); Singleton, K. (PI); Strebulaev, I. (PI); Xu, C. (PI); Zwiebel, J. (PI); Alvarez, G. (GP); Alvarez, K. (GP); Davis, S. (GP); Freedman, S. (GP); Yarnott, C. (GP)

This course is elected as soon as a student is ready to begin research for the dissertation, usually shortly after admission to candidacy. To register, a student must obtain permission from the faculty member who is willing to supervise the research.

Terms: Aut, Win, Spr, Sum
| Units: 1-15
| Repeatable
for credit

Instructors: ; Admati, A. (PI); Begenau, J. (PI); Berk, J. (PI); Bernstein, S. (PI); Blattner, L. (PI); DeMarzo, P. (PI); Duffie, D. (PI); Grenadier, S. (PI); Hebert, B. (PI); Koudijs, P. (PI); Krishnamurthy, A. (PI); Lustig, H. (PI); McQuade, T. (PI); Pfleiderer, P. (PI); Rauh, J. (PI); Seru, A. (PI); Singleton, K. (PI); Strebulaev, I. (PI); Zwiebel, J. (PI); Freedman, S. (GP)

Doctoral Practicum in Teaching

Terms: Aut, Win, Spr, Sum
| Units: 1
| Repeatable
25 times
(up to 50 units total)

Instructors: ; Admati, A. (PI); Begenau, J. (PI); Berk, J. (PI); Bernstein, S. (PI); Blattner, L. (PI); Buchak, G. (PI); DeMarzo, P. (PI); Duffie, D. (PI); Grenadier, S. (PI); Hebert, B. (PI); Koudijs, P. (PI); Krishnamurthy, A. (PI); Lustig, H. (PI); Maggiori, M. (PI); McQuade, T. (PI); Pfleiderer, P. (PI); Rauh, J. (PI); Robles Garcia, C. (PI); Seru, A. (PI); Singleton, K. (PI); Strebulaev, I. (PI); Zwiebel, J. (PI); Ponce, S. (GP); Zweig, S. (GP)

Doctoral Practicum in Research

Terms: Aut, Win, Spr, Sum
| Units: 1
| Repeatable
25 times
(up to 50 units total)

Instructors: ; Admati, A. (PI); Begenau, J. (PI); Berk, J. (PI); Bernstein, S. (PI); Blattner, L. (PI); Buchak, G. (PI); DeMarzo, P. (PI); Duffie, D. (PI); Grenadier, S. (PI); Hebert, B. (PI); Koudijs, P. (PI); Krishnamurthy, A. (PI); Lustig, H. (PI); Maggiori, M. (PI); McQuade, T. (PI); Pfleiderer, P. (PI); Rauh, J. (PI); Robles Garcia, C. (PI); Seru, A. (PI); Singleton, K. (PI); Strebulaev, I. (PI); Xu, C. (PI); Zwiebel, J. (PI); Davis, S. (GP); Freedman, S. (GP); Patel, A. (GP); Rodriguez, T. (GP); Williams, J. (GP); Zweig, S. (GP)

Terms: Aut, Win, Spr, Sum
| Units: 0
| Repeatable
for credit

Instructors: ; Admati, A. (PI); Begenau, J. (PI); Berk, J. (PI); Bernstein, S. (PI); Blattner, L. (PI); DeMarzo, P. (PI); Duffie, D. (PI); Grenadier, S. (PI); Hebert, B. (PI); Koudijs, P. (PI); Krishnamurthy, A. (PI); Lustig, H. (PI); McQuade, T. (PI); Pfleiderer, P. (PI); Rauh, J. (PI); Seru, A. (PI); Singleton, K. (PI); Strebulaev, I. (PI); Zwiebel, J. (PI); Davis, S. (GP); Freedman, S. (GP); Patel, A. (GP); Rodriguez, T. (GP)