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Course Criteria
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3.00 Credits
Formulation and structure of convex optimization problems with an emphasis on duality. Extensive treatment of linear optimization. Network flows, discrete optimization, and conic (quadratic and semi-definite) optimization. Motivated by examples from economics, engineering, finance,and statistics. Instructor: Brown
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3.00 Credits
Basic models and solution techniques for sequential decision making under uncertainty. Discrete and continuous time models with finite and infinite planning horizon. Applications drawn from economics, finance, operations management and engineering. Instructor: Sun
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3.00 Credits
This seminar deals with the foundations and applications of the theory of rational choice, including Bayesian decision theory (subjective expected utility) as well as nonexpected utility theory, noncooperative game theory, and arbitrage theory. It will survey the classic literature in the field and discuss the interconnections among its branches; dissect a variety of paradoxes, puzzles, and pathologies; and discuss recent advances and controversies. The goal of this seminar is to equip students with an understanding of both the power and the limits of rational choice theory, so that they can construct as well as critically analyze rational choice applications in a wide variety of social science contexts. It will also suggest some new directions for choice-theoretic research that involve a synthesis of ideas from competing paradigms. Instructor: Nau
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3.00 Credits
The organization and the subunits which make up the organization. Topics include: contingency theory, institutional theory, and population ecology. Theories of organization, structure, decentralization, divisionalization, functional area integration, task design, incentives and rewards, information systems, and decision rules are developed with an orientation toward their choice and design for high performance. Includes presentation of research by members of The Fuqua School of Business and other researchers. Instructor: Staff
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3.00 Credits
Examines the development of research in individual and group decision behavior. Major emphasis is given to theoretical developments and empirical research, with a range of articles assigned for each topic. The basic topic areas include: (1) decision problem structuring, (2) thinking about uncertainties, (3) risk taking, (4) dealing with conflicting values, and (5) combining individual judgments into a group decision. Instructor: Payne
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3.00 Credits
This course focuses on the economic models underlying information economics-based theories of the usefulness of accounting information. Topics covered include: adverse selection, moral hazard, incentive contracting and disclosure. Prerequisites: PhD level courses in microeconomics and econometrics, MBA level financial accounting course, and BA 531 is required; or approval by instructor on a case-by-case basis. Strong mathematics background in calculus, statistics and algebra. Instructor: Staff. 3 units. Instructor: Chen
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3.00 Credits
Introduces Accounting Ph.D. students to judgment/decision making research in accounting that is informed by cognitive and social psychology and economics and that relies on experimental research methods. Choices made by market participants such as securities analysts and investors, the determinants of those choices, and their effects on these and other participants in the economic system are considered. The course is designed for students whose major interests involve economics-based archival research in financial accounting and reporting issues who need to understand complementarities between archival and experimental research approaches. Instructor: Ashton
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3.00 Credits
This course provides a comprehensive yet rigorous introduction to both the theory and related empirical evidence of modern financial economics. Topics covered include (i) preferences and expected utility theory; (ii) single-period portfolio choice, mean-variance optimization, and CAPM; (iii) efficient markets, predictability, cross-sectional anomalies, and event studies; (iv) stochastic discount factors, no arbitrage, state prices, and contingent claims; (v) APT and multifactor pricing models; and (vi) behavioral finance. Instructor: Staff
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3.00 Credits
This course looks at the foundations of the theory in corporate finance. Topics covered include adverse selection, contracting and agency problems, capital structure, initial public offerings, collateral and corporate finance, bubbles and corporate financing decisions, banking and bank runs, and coordination failures. Applications in corporate finance include optimal capital structure, voting, debt regeneration, investment decisions and market valuation, executive compensation, bank runs, initial public offerings, and secondary public offerings, collateralization and securitization. Instructor: Staff
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3.00 Credits
Research in marketing endeavors to explain consumer and firm behaviors and use these to abet managerial decision making. This course surveys quantitative research in marketing, with a focus on statistical and game-theoretic models. The goal of the course is to a) raise students' awareness of this literature and b) stimulate new research interests. By the end of the course, students should be familiar with the key issues and approaches in quantitative marketing, the strengths of these research streams, and the opportunities to extend them. Instructor: Staff
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