3804372: Asset allocation and performance analysis

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Semester:WS 14/15
Type:Lecture
Language:English
Scheduled in semester:3
Semester Hours per Week / Contact Hours:60.0 L / 45.0 h
Self-directed study time:135.0 h

Module coordination/Lecturers

Curricula

Master's degree programme in Banking and Financial Management (01.10.2008)

Description

Lectures by Prof. Weissensteiner:

  • Portfolio Performance Evaluation
-- Conventional Risk measures based on CAPM: Sharpe measure, Treynor’s measure, Tracking Error, Jensen’s measure, Information Ratio, Sortino Ratio

  • Multi-factor models (e.g. Fama-French Three Factor model)
-- Timing analysis (Treynor and Mazuy model) and
-- Style analysis

  • New risk measures: Value-at-Risk (VaR), Conditional-Value-at-Risk (CVaR)
  • Resampling to address parameter uncertainty
  • Black – Litterman model for active portfolio management
  • Time-horizon effects in portfolio management
  • Planning and sequential decision making under uncertainty
  • Merton Framework

Lectures by Prof. Rasmussen:
  • Modelling in GAMS
  • Scenario representation and scenario optimization
  • Modelling the Mean Absolute Deviation model with practical constraints
  • Modelling VaR and CVaR
  • Implementation of a multistage stochastic program

Lectures by Prof. Menichetti:
  • Exchange Rate Risks in Asset Management (International Diversification, FX Risks of Stocks and Bonds and Management Approaches, Role of the Reference Currency)
  • Special Topics in Fund Management (Performance Attribution, Performance Persistence, Value of Analyst Recommendations, Volatility as an Asset Class, Sukuk Investments)
  • Fund Markets and Regulation (Relationship between Performance and Regulation, Role of Domiciles, UCITS & AIFM)

Lectures by Jurij-Andrei Reichenecker:
  • Carry Trades
-- Introduction / Basic Idea of Carry Trades
-- Different types of Carry Trades (Bond Carry Trades, Currency Carry Trades)
-- Selection Methods of Carry Trade
-- Profitability of Carry Trades
-- Risk Contribution of Carry Trades


Lectures by Lars Kaiser:
  • Debate on active vs. passive management
-- defining both terms
-- common models
-- current literature

  • Cointegration Analysis
-- intuition
-- theoretical construct
-- empirical application

Learning Outcomes

Students master a wide range of procedures and methods of making asset allocation decisions in practical cases. Thus they are able to critically evaluate the various procedures and apply them on a case-by-case basis in asset allocation. They exhibit context-oriented originality and creativity in the application of their knowledge and they are familiar with the various approaches in asset management discussed in class and make informed judgements with their application in situations with incomplete information.

Students know how to calculate the different performance measures on a real data set. They are familiar with the Bayesian approach in the Black-Litterman model and how to use it for practical asset allocation decisions. They exhibit context-oriented originality and creativity in the application of their knowledge. Candidates understand the fundamental difference between one-period and multi-period decision problems (“hedging demands”) and how to model real-life optimization task (with cash in-and outflows, human capital, restrictions on the asset allocation etc.).

Students who have followed the course will be able to formulate and solve optimization problems in GAMS in particular within the following areas:

  • Measuring and managing return and risk trade offs
  • Adding practical constraints to financial optimization problems
  • Modelling Value at Risk (VaR) and Conditional Value at Risk
  • Modelling a multistage stochastic program

Qualifications

Literature

Required reading:

  • Bernanke B.S. (2004). Conducting monetary policy at very low short-term interest rates. BIS Review, pp. 1-5
  • Bodie, Z. /Kane, A. /Marcus, A.J. (2009). Investments (Eights Edition). Boston: Mc Graw-Hill.
  • Elton, E.J./ Gruber, M.J./ Brown, S.J./ Goetzmann, W.N. (2007). Modern Portfolio Theory and Investment Analysis (Seventh edition). New York: John Wiley.
  • Michaud R.O./ Michaud R.O. 1998: Efficient Asset Management: A Practical Guide to Stock Portfolio Optimization and Asset Allocation, Oxford University Press.
  • Black, F./ Litterman, R. (1992). Global Portfolio Optimization, Financial Analysts Journal, pp. 28–43.

Recommended reading:
  • Zenios, S.A. (2008) Practical Financial Optimization: Decision Making for Financial Engineers.
  • Campbell, J.Y./ Viceira, L.M. (2002). Strategic Asset Allocation: Portfolio Choice for Long-term Investors. Oxford University Press.
  • Francis J.C./ Ibbotson R. (2002). Investments – A Global Perspective, Pearson.
  • Amenc N./ Le Sourd V. (2003). Portfolio Theory and Performance Analysis, John Wiley.
  • Spremann K. (2008). Portfoliomanagement, Oldenbourg.

Materials

Lecture slides will be available on Moodle

Exam Modalities

  • Written examination with 90 minutes editing time

Dates

DatumZeitRaum
19.09.201409:00 - 12:15S4
17.10.201409:00 - 12:15S4
30.10.201413:15 - 16:30H4
06.11.201413:15 - 16:30S4
07.11.201409:00 - 12:15S4
14.11.201409:00 - 16:30H4
15.11.201409:00 - 16:30H4
20.11.201412:30 - 15:45H4
27.11.201413:15 - 16:30H4
28.11.201409:00 - 16:30S4
29.11.201409:00 - 16:30S4