The book “Benchmark Tracking Portfolio Problems with Stochastic Ordering Constraints” analyzes the problem of optimizing the portfolio composition according to specific management styles. In particular, three main tracking strategies can be identify: passive, enhanced indexing and active. This essay addresses these problems proposing theoretical and methodological solution to maximize investors' preferences. After an introductory chapter with a rich review of the literature, Chapter 2 presents the problem to mimic the performance of a financial index considering all its components or a subset only, and it suggests a new dispersion measure of the tracking error. Chapter 3 generalizes the concept of dispersion measure reviewing the class of the coherent expectation bounded risk measures for the benchmark tracking problem. Chapter 4 deals with portfolio strategies for active management and explores the portfolio optimization problem maximizing four different performance measures.
(2019). Benchmark Tracking Portfolio Problems with Stochastic Ordering Constraints . Retrieved from http://hdl.handle.net/10446/160700
Benchmark Tracking Portfolio Problems with Stochastic Ordering Constraints
Cassader, Marco;Vitali, Sebastiano
2019-01-01
Abstract
The book “Benchmark Tracking Portfolio Problems with Stochastic Ordering Constraints” analyzes the problem of optimizing the portfolio composition according to specific management styles. In particular, three main tracking strategies can be identify: passive, enhanced indexing and active. This essay addresses these problems proposing theoretical and methodological solution to maximize investors' preferences. After an introductory chapter with a rich review of the literature, Chapter 2 presents the problem to mimic the performance of a financial index considering all its components or a subset only, and it suggests a new dispersion measure of the tracking error. Chapter 3 generalizes the concept of dispersion measure reviewing the class of the coherent expectation bounded risk measures for the benchmark tracking problem. Chapter 4 deals with portfolio strategies for active management and explores the portfolio optimization problem maximizing four different performance measures.File | Dimensione del file | Formato | |
---|---|---|---|
11_12_2019_SAEI-Marco Cassader-Portfolio_tisk_OBÁLKA.pdf
Solo gestori di archivio
Versione:
cover/index - copertina/indice
Licenza:
Licenza default Aisberg
Dimensione del file
998.1 kB
Formato
Adobe PDF
|
998.1 kB | Adobe PDF | Visualizza/Apri |
MCTTSV_book.pdf
Solo gestori di archivio
Versione:
postprint - versione referata/accettata senza referaggio
Licenza:
Licenza default Aisberg
Dimensione del file
1.27 MB
Formato
Adobe PDF
|
1.27 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo