DRE 4012 Asset Pricing Theory

DRE 4012 Asset Pricing Theory

Course code: 
DRE 4012
Department: 
Finance
Credits: 
6
Course coordinator: 
Espen Henriksen
Course name in Norwegian: 
Asset Pricing Theory
Product category: 
PhD
Portfolio: 
PhD Finance courses
Semester: 
2019 Spring
Active status: 
Active
Level of study: 
PhD
Teaching language: 
English
Course type: 
One semester
Introduction

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 investment decisions under uncertainty, mean-variance theory, dynamic capital-market equilibrium and asset valuation, and the potential application of these themes. Upon completion of this course, students should acquire a clear understanding of the major theoretical results concerning individuals' decisions under uncertainty and their implications for the valuations of securities.

Learning outcomes - Knowledge

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 prepare 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 main concepts used in theoretical and applied asset pricing, such as no arbitrage, state prices, factor models, consumption-based asset pricing, heterogeneous-agent models, and production-based asset pricing.

Learning outcomes - Skills

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Learning Outcome - Reflection

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Course content
  • 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
Learning process and requirements to students

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Software tools
No specified computer-based tools are required.
Additional information

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Qualifications

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.

Required prerequisite knowledge

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Assessments
Assessments
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: 
  • BI-approved exam calculator
  • Simple calculator
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
Exam organisation: 
Continuous assessment
Grading scale: 
ECTS
Total weight: 
100
Sum workload: 
0

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.