Asset Pricing
- Teacher(s): L.Bretscher D.Karyampas
- Course given in: English
- ECTS Credits: 6 credits
- Schedule: Spring Semester 2022-2023, 4.0h. course (weekly average)
-
sessions
-
course website
-
Related programmes:
Master of Science (MSc) in Finance, Orientation Corporate Finance
Master of Science (MSc) in Finance, Orientation Asset and Risk Management
Master of Science (MSc) in Finance : Financial Entrepreneurship and Data Science -
Permalink:
ObjectivesThis is an intermediate course on asset pricing, portfolio choice and investment theory. The course will cover fundamental theory as well as practical implications, in three parts. In the first part, on investor preferences and portfolio choice, we introduce the micro foundation for how investors make choices under uncertainty. Our main focus is on the neoclassical von Neumann-Morgenstern expected utility setting, but we will also discuss several rational and behavioural modifications and extensions. In the second part of the course, we study equilibrium asset pricing theory, introducing classical models like the Capital Asset Pricing Model (CAPM) and the Consumption-based CAPM (CCAPM). In addition to covering theory, we discuss the major implications for investors, e.g., with respect to diversification, systematic versus idiosyncratic risk, and consumption smoothing. We will also discuss several challenges for the theory, for example, the equity premium puzzle, the risk-free rate puzzle, and the excess volatility puzzle. In the third and final part of the course, we study (no-) arbitrage theory, and its powerful applications to financial markets, e.g. the, markets for derivatives and bonds. We discuss the relationship between no-arbitrage and existence of risk-neutral pricing (or, equivalently, so-called stochastic discount factors). We also cover the Arbitrage Pricing Theory (APT). Finally, we discuss some exciting recent developments within asset pricing. Contents
References
Pre-requisitesA good understanding of calculus and probability theory is required. EvaluationFirst attempt
Retake
|
[» go back] [» courses list]