## Results for FINANCE |
15 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.

Terms: Win
| Units: 1

Instructors: ; Duffie, D. (PI); Berg, S. (GP)

This course covers the foundations of finance with an emphasis on applications that are vital for corporate managers. We will discuss many of the major financial decisions made by corporate managers, both within the firm and in their interactions with investors. Essential in most of these decisions is the process of valuation, which will be an important emphasis of the course. Topics include criteria for making investment decisions, valuation of financial assets and liabilities, relationships between risk and return, capital structure choice, payout policy, the use and valuation of derivative securities, and risk management. This course is targeted to those students who are new to finance and for those with little quantitative background.

Terms: Win
| Units: 3

Instructors: ; McQuade, T. (PI); Smith, J. (GP)

This course covers the foundations of finance with an emphasis on applications that are vital for corporate managers. We will discuss many of the major financial decisions made by corporate managers, both within the firm and in their interactions with investors. Essential in most of these decisions is the process of valuation, which will be an important emphasis of the course. Topics include criteria for making investment decisions, valuation of financial assets and liabilities, relationships between risk and return, capital structure choice, the use and valuation of derivative securities (e.g., options and convertible securities), and risk management.nnNo previous background in finance is required or expected, but in comparison with Finance 201, less time will be spent in class on the steps involved in solving basic problems. Therefore, students choosing this course should be relatively comfortable with basic mathematical operations (e.g., expressions involving multiplication of multiple terms, summation of multiple terms, etc.), though familiarity with the underlying finance concepts is not expected. A good diagnostic is to skim Section 4.2 "Rules for Time Travel" (pp. 98-104) in the course textbook, Corporate Finance by Berk and DeMarzo. If you are comfortable with the level of basic mathematics involved (even if the concepts are new), 204 is a good choice. If not, you should consider Finance 201.

Terms: Win
| Units: 3

This course is intended for those who plan careers that may involve debt financing for their businesses or other investments, or involve trading or investing in debt instruments and their derivatives, including money-market instruments including central bank deposits, government bonds, repurchase agreements, interest-rate swaps, mortgage-backed securities (MBS), corporate bonds, structured credit products, and credit derivatives. We will emphasize institutional features of the markets, including trading, pricing, and hedging. There is a special focus on distressed debt. Most lectures will start with a cold-called student presentation of an un-graded short homework calculation. There will also be a series of graded homework, a take-home mid-term, and about six graded 'pop quizzes' of 10 minutes or less.

Terms: Win
| Units: 3

Instructors: ; Duffie, D. (PI); Berg, S. (GP)

This interdisciplinary course explores how market and non-market forces shape the financial system and, through this system, affect the broad economy and society. You will gain an in-depth understanding of the interactions between individuals, corporations in the financial and non-financial sector, and governments around the globe, in an environment that is rife with conflicts of interests and differences in information and control. Topics include the structure and role of various financial institutions and the financial system, housing, credit and securities markets, central banks, regulation, global cooperation and competition, governance and accountability, and the role of the media.

Terms: Win
| Units: 3

This course will combine practical and up-to-date investment theory with modeling applications. Understanding beautiful theory, without the ability to apply it, is essentially useless. Conversely, creating state-of-the-art spreadsheets that apply incorrect theory is a waste of time. Here, we try to explicitly combine theory and application. The course will be divided into 6 modules, or topics. The first day of each module will be a lecture on an investment topic. Also provided is a team modeling project on the topic. The second day of each module will be a lab. The lab day will begin with modeling concepts (tips) designed to help you use Excel to implement the module's investment topic. After the tips are provided, the remainder of the lab day is devoted to teams working on their modeling project and allowing for Q&A. On the third day of each module will be presentations and wrap-up.

Terms: Win, Spr
| Units: 3

The purpose of this course is to familiarize students with the different types of trading strategies employed by various money management institutions. These financial trading strategies are used to manage the risk and return profiles of specific portfolios. Throughout the sessions, students will be challenged to understand and explore the application and implementation of these different strategies. Trading simulations employed on the Rotman Interactive Trader and Rotman Portfolio Manager (using real market data and computer generated data) will be used extensively in this course as a way to learn and test different strategies. All classes will be held in the new Real-time Analytics and Investment Lab (RAIL), located on the third floor of the Bass Building (B312). Students are expected to attend all sessions. Grades are based on in-class simulation results, class participation, and two written assignments.

Terms: Win, Spr
| Units: 3

Instructors: ; Mak, K. (PI); Shaker, S. (GP)

This 2-unit elective at the GSB is an overview of the private equity industry including its reason for being and its growth. 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 continues F620 and covers a number of main concepts in market microstructure. Among the topics that are covered are (i) Rational Expectations models and their foundations (ii) strategic trading models (iii) models of market and funding liquidity. In addition to the discussion of theoretic models time will be allotted to empirical applications.

Terms: Win
| Units: 3

Instructors: ; Koudijs, P. (PI); Smith, J. (GP)

This course is an introduction to empirical research in asset pricing. The focus of the course is on the interplay between financial economic theory, econometric method, and that analysis of financial market data. Topics include tests of asset pricing models, return predictability in time-series and cross-section, empirical studies of asset market imperfections, and studies of individual and professional investor behavior. Class discussions will draw on textbooks/monographs and original articles and working papers.

Terms: Win
| Units: 3

Instructors: ; Lustig, H. (PI); Gutierrez, S. (GP)

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); Bryzgalova, S. (PI); DeMarzo, P. (PI); Duffie, D. (PI); Grenadier, S. (PI); Hebert, B. (PI); Koudijs, P. (PI); Krishnamurthy, A. (PI); Lustig, H. (PI); McDonald, J. (PI); McQuade, T. (PI); Pfleiderer, P. (PI); Rauh, J. (PI); Seru, A. (PI); Singleton, K. (PI); Strebulaev, I. (PI); Vanasco, V. (PI); Zwiebel, J. (PI); Alvarez, G. (GP); Aranzamendez, O. (GP); Berg, S. (GP); Davis, S. (GP); Gutierrez, S. (GP); Lion-Transler, C. (GP); Ponce, S. (GP); Zweig, S. (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); Bryzgalova, S. (PI); DeMarzo, P. (PI); Duffie, D. (PI); Grenadier, S. (PI); Hebert, B. (PI); Koudijs, P. (PI); Krishnamurthy, A. (PI); Lustig, H. (PI); McDonald, J. (PI); McQuade, T. (PI); Pfleiderer, P. (PI); Rauh, J. (PI); Seru, A. (PI); Singleton, K. (PI); Strebulaev, I. (PI); Vanasco, V. (PI); Zwiebel, J. (PI); Alvarez, G. (GP); Aranzamendez, O. (GP); Gutierrez, S. (GP); Ponce, S. (GP); Siegrist, K. (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); Bryzgalova, S. (PI); DeMarzo, P. (PI); Duffie, D. (PI); Grenadier, S. (PI); Hebert, B. (PI); Koudijs, P. (PI); Krishnamurthy, A. (PI); Lustig, H. (PI); McDonald, J. (PI); McQuade, T. (PI); Pfleiderer, P. (PI); Rauh, J. (PI); Seru, A. (PI); Singleton, K. (PI); Strebulaev, I. (PI); Vanasco, V. (PI); Zwiebel, J. (PI); Berg, S. (GP); Gutierrez, S. (GP); Lion-Transler, C. (GP); 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); Bryzgalova, S. (PI); DeMarzo, P. (PI); Duffie, D. (PI); Grenadier, S. (PI); Hebert, B. (PI); Koudijs, P. (PI); Krishnamurthy, A. (PI); Lustig, H. (PI); McDonald, J. (PI); McQuade, T. (PI); Pfleiderer, P. (PI); Rauh, J. (PI); Seru, A. (PI); Singleton, K. (PI); Strebulaev, I. (PI); Vanasco, V. (PI); Zwiebel, J. (PI); Alvarez, G. (GP); Aranzamendez, O. (GP); Berg, S. (GP); Davis, S. (GP); Gutierrez, S. (GP); Lion-Transler, C. (GP); Ponce, S. (GP); Siegrist, K. (GP); Smith, J. (GP)

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

Instructors: ; Admati, A. (PI); Begenau, J. (PI); Berk, J. (PI); Bernstein, S. (PI); Bryzgalova, S. (PI); DeMarzo, P. (PI); Duffie, D. (PI); Grenadier, S. (PI); Hebert, B. (PI); Koudijs, P. (PI); Krishnamurthy, A. (PI); Lustig, H. (PI); McDonald, J. (PI); McQuade, T. (PI); Pfleiderer, P. (PI); Rauh, J. (PI); Seru, A. (PI); Singleton, K. (PI); Strebulaev, I. (PI); Vanasco, V. (PI); Zwiebel, J. (PI); Alvarez, G. (GP); Aranzamendez, O. (GP); Berg, S. (GP); Gutierrez, S. (GP); Lion-Transler, C. (GP); Ponce, S. (GP); Siegrist, K. (GP); Smith, J. (GP); Zweig, S. (GP)