DRE 4012 Asset Pricing Theory
DRE 4012 Asset Pricing Theory
The objective of this course is to undertake a rigorous study of the foundations of modern financial economics in discrete-time settings. The course will cover the central themes of modern finance including decisions under uncertainty, mean-variance theory, dynamic capital-market equilibrium and asset valuation, and the potential application of these themes. So-called consumption-based models provide testable implications for the joint distribution of asset prices and macroeconomic quantities. These models and their empirical challenges will be addressed and discussed. Upon completion of this course, students should acquire a clear understanding of the major theoretical results concerning individuals' decisions under uncertainty, market clearing, and their joint implications for the valuations of securities.
This course will give the students an overview of the field of asset pricing theory. The emphasis of this course is on the theoretical underpinnings of the field and prepares the students for independent research. Though the course will emphasize discrete-time frameworks, we may also cover some of the basics of continuous-time. After taking the course, the students will understand the main concepts used in theoretical and applied asset pricing, such as the absence of arbitrage, state prices, factor models, consumption-based asset pricing, heterogeneous-agent models, and production-based asset-pricing.
Upon successful completion, students should, among others, have the skills to derive testable asset-pricing hypotheses; apply advanced theoretical concepts to answer asset-pricing aspects of research questions in finance; and communicate in detail various topics of modern asset pricing to a diverse audience of finance faculty.
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- Introduction and overview, review of basic economic theory, some empirical facts
- Preferences, risk aversion
- Portfolio choice in a two-period model
- Markets: complete vs. incomplete, equilibrium, risk sharing
- Arbitrage, state prices, law of one price, stochastic discount factors
- Mean-variance analysis, beta representations
- Conditional vs. unconditional models
- Dynamic consumption-portfolio choice, dynamic programming
- Equilibrium models, consumption CAPM, special cases
- Exotic preferences: recursive, habit formation
- Production models
- Market imperfections: asymmetric information, transaction costs, capital immobility
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Enrollment in a PhD Programme is a general requirement for participation in PhD courses at BI Norwegian Business School.
External candidates are kindly asked to attach confirmation of enrollment in a PhD programme when signing up for a course.
Other candidates may be allowed to sit in on courses by approval of the courseleader. Sitting in on a course does not permit registration for the course, handing in exams or gaining credits for the course. Course certificates or conformation letters will not be issued for sitting in on courses.
Covid-19
Due to the Covid-19 pandemic, there may be deviations in teaching and learning activities as well as exams, compared with what is described in this course description.
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| Assessments |
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Exam category: Submission Form of assessment: Written submission Weight: 30 Grouping: Individual Duration: 1 Month(s) Exam code: DRE 40121 Grading scale: Point scale leading to ECTS letter grade Resit: All components must, as a main rule, be retaken during next scheduled course |
Exam category: Submission Form of assessment: Written submission Invigilation Weight: 70 Grouping: Individual Support materials:
Duration: 3 Hour(s) Exam code: DRE 40121 Grading scale: Point scale leading to ECTS letter grade Resit: All components must, as a main rule, be retaken during next scheduled course |
A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.