Asset Class Equity
short review of the most common products in this asset class and characteristic numbers; indices and benchmarks for this asset class; active vs. passive strategies and replication of benchmarks; objective functions and performance measures for this asset class; multiples (ratios), deriving the intrinsic value on the basis of pricing models; quantitative forecast on the basis of the intrinsic value, time-series, factor models and maybe neural networks; computation of important sensitivity measures for an equity portfolio; computation of the statistical return distribution and of statistical characteristic numbers for an equity portfolio; trading strategies for an equity portfolio; controlling an equity portfolio using derivatives; selection and optimisation for an equity portfolio: performance and attribution analysis of an equity portfolio
Art der Vermittlung
Präsenzveranstaltung
Art der Veranstaltung
Pflichtfach
Empfohlene Fachliteratur
Reilly, F., Brown, K., 2003, Investment Analysis and Portfolio Management, 7th ed., ITPS Thomson Learning; Grinold, R., Kahn, R., 2008, Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Controlling Risk, 2nd ed., McG; Greenblatt, J., 2010, The Little Book That Still Beats the Market, John Wiley & Sons
Lern- und Lehrmethode
Integrated class
Prüfungsmethode
Student assessment relies on the quality of their assignments, their presentations and their participation (30 points), and on the result of the written final exam (70 points).
Voraussetzungen laut Lehrplan
Courses of the 1st semester
Schnellinfos
Studiengang
Quantitative Asset and Risk Management (Master)
Akademischer Grad
Master
ECTS Credits
2.00
Unterrichtssprache
Englisch
Studienplan
Berufsbegleitend
Studienjahr, in dem die Lerneinheit angeboten wird
2021
Semester in dem die Lehrveranstaltung angeboten wird
2 SS
Incoming
Ja
Lernergebnisse der Lehrveranstaltung
After the successful completion of the course, students are able to point out the characteristics of the asset class equity and investigate on the risks associated with this asset class. They are capable of analysing equities based on financial or economical models and are able to construct simple forecasting models for this asset class. Based on the results of these forecasting models, students are able to conduct a portfolio selection. Furthermore, they have the ability to conduct performance and attribution analyses for this asset class.
Kennzahl der Lehrveranstaltung
0613-09-01-BB-EN-15