Courses & Seminars

 

In addition to individual requirements from the areas of study, known as major field requirements, all Ph.D. students are required to take 13 quarter courses from outside the major field of study.

 SummerFallWinterSpring
YEAR June - August September - December January - March April - June
1st
Theory of the firm and consumer
-
Probability and statistics for econometrics
-
Accounting workshop
-
Mathematical methods
Basic concepts of noncooperative game theory
-
Theory and application of regression analysis
-
Accounting seminar
Accounting seminar
-
Pronunciation for International Teaching Assistants
2nd
Elective Options
-
Research Assistant Opportunities
Accounting workshop Accounting workshop Accounting workshop
3rd
Elective Options
-
Research Assistant Opportunities
Accounting workshop Accounting workshop Accounting workshop
4th
Elective Options
-
Research Assistant Opportunities
Accounting workshop Accounting workshop Accounting workshop

1st YEAR

Fall

September – December

Theory of the firm and consumer
-
Probability and statistics for econometrics
-
Accounting workshop
-
Mathematical methods

Winter

January – March

Basic concepts of noncooperative game theory
-
Theory and application of regression analysis
-
Accounting seminar

Spring

April – June

Accounting seminar
-
Pronunciation for International Teaching Assistants

2nd YEAR

Summer

June – August

Elective Options
-
Research Assistant Opportunities

Fall

September – December

Accounting workshop

Winter

January – March

Accounting workshop

Spring

April – June

Accounting workshop

3rd YEAR

Summer

June – August

Electives
-
Research Assistant Opportunities

Fall

September – December

Electives

Winter

January – March

Electives

Spring

April – June

Electives

4th YEAR

Summer

June – August

Electives
-
Research Assistant Opportunities

Fall

September – December

Electives

Winter

January – March

Electives

Spring

April – June

Electives

 

Required Courses

 

ECON 200

Mathematical Methods In Economics

ECON 201A & 201B

Microeconomics

MGMT PHD 201A

Probability, Statistics, And Computational Methods For Econometrics

MGMT PHD 201B

Theory And Application Of Regression Analysis

MGMT PHD 202A

Accounting Workshops

MGMT PHD 234

Special Topics In Accounting

MGMT PHD 235

Empirical Research In Accounting

 

Elective Courses

 

Introduction to Financial Economics

MGMT PHD 237

Read Course Description

Provides foundational material for analytical studies of financial markets. Emphasis is on continuous time mathematics as applied to pricing of financial assets

CLOSE

Macroeconomics and Finance

MGMT PHD 238

Read Course Description

Requisites: courses 230, 239A. Foundations of theory of firm capitalization and investment decisions, with special attention to questions of exchange and allocative efficiency.

CLOSE

Empirical Asset Pricing

MGMT PHD 239

Read Course Description

Focus on measuring and understanding risk premiums in financial markets. Study of evidence pertaining to pricing kernel and applied theoretical developments that are motivated by evidence.

CLOSE

Economics of Uncertainty, Information, and Game

ECON 211B

Read Course Description

Preparation: introductory probability. Requisite: course 201C. Theory of individual decision making under uncertainty, applied to topics such as asset pricing models, adverse selection, moral hazard, bargaining, signaling, auctions, and search.

CLOSE

Econometrics: Single Equation Models

ECON 231A

Read Course Description

Linear regression model, specification error, functional form, autocorrelation, nonlinear estimation, distributed lags, nonnormality, univariate time series, qualitative dependent variables, aggregation, structural change, and errors-in-variables.

CLOSE

System Models

ECON 231B

Read Course Description

Multivariate regression, errors-in-variables, simultaneous equations, identification, proxy variables, latent variables, factor analysis of panel data, asymptotic distribution theory.

CLOSE

Analysis

Math 131A, 131B

Read Course Description

131A - Requisites: courses 32B, 33B. Rigorous introduction to foundations of real analysis; real numbers, point set topology in Euclidean space, functions, continuity.

131B - Requisites: courses 33B, 115A, 131A. Derivatives, Riemann integral, sequences and series of functions, power series, Fourier series.

CLOSE

Real Analysis

Math 245A

Read Course Description

Requisites: courses 121, 131A-131B. Basic measure theory. Measure theory on locally compact spaces. Fubini theorem. Elementary aspects of Banach and Hilbert spaces and linear operators. Function spaces. Radon/Nikodym theorem. Fourier transform and Plancherel on Rn and Tn.

CLOSE

Applied Stochastic Processes

MGMT 210B

Read Course Description

Requisite: Mathematics M170A or Electrical Engineering 131A. Fundamentals of stochastic processes, including Poisson processes, renewal theory, and Markov chains. Sequential stochastic (usually Markovian) decision processes in discrete and continuous time. Emphasis on problem formulation and characterization and computations of optimal policies, often via dynamic programming, applications to inventory, queueing, maintenance, reliability, and replacement problems.

CLOSE
 

Seminars

 

Seminar series provide a collegial forum for accessing the intellectual capital you need to succeed. These seminars further prepare our Ph.D. students for research, presentation and job market success.

Accounting Conference

Our faculty seminars are hosted by your area of study and closed to the public; distinguished faculty from other universities present their latest papers and findings.

At our UCLA Accounting Conference held April 21 and 22, 2017, Professor Paul Fischer of The Wharton School at the University of Pennsylvania presented his paper, “Accounting Tinder: Acquisition of Information with Uncertain Precision,” co-authored with Mirko S. Heinle. Fischer and Heinle’s paper, and Fischer’s presentation, surrounded the development of a model of information acquisition in capital markets, which was then analyzed to explore how investors are uncertain about the precision of the private information before they acquire it. Fischer theorized that investors use prior prices and public information to estimate the precision and, therefore, value of the private information, finding that larger price to earnings deviations lead to more private information acquisition, higher future price volatility, and higher future trading volumes.

The conference also hosted Professor Phillip C. Stocken of the Tuck School of Business at Dartmouth College, who presented his paper, “Persuasion under Second-Order Uncertainty.” Co-authored with Patrick Hummel of Google and John Morgan from the University of California, Berkeley, Stocken’s presentation explored a general model of persuasion games, applying their findings to a corporate voluntary disclosure setting, offering novel empirical predictions. Accounting also hosted Rodrigo Verdi of the Sloan School of Management at MIT, whose paper “Financial Reporting Regulation and Financing Decisions” – co-authored with Patricia Naranjo of the Jesse H. Jones Graduate School of Business at Rice University and UCLA Anderson’s Daniel Saavedra – studied the influence of a major reform in financial reporting regulation on financing decisions.

Job Market Papers

These seminars provide the opportunity to defend your work, receive research and career feedback, and influence others’ work lives. With the toughest audiences you will ever face, this experience is all about preparing you for your professional life and positioning you for candidacy as a faculty member at one of the world’s highest caliber institutions.