Buch, Englisch, 190 Seiten, Format (B × H): 156 mm x 237 mm, Gewicht: 444 g
Buch, Englisch, 190 Seiten, Format (B × H): 156 mm x 237 mm, Gewicht: 444 g
ISBN: 978-1-78548-084-3
Verlag: Elsevier Science & Technology
Portfolio Optimization with Different Information Flow recalls the stochastic tools and results concerning the stochastic optimization theory and the enlargement filtration theory.The authors apply the theory of the enlargement of filtrations and solve the optimization problem. Two main types of enlargement of filtration are discussed: initial and progressive, using tools from various fields, such as from stochastic calculus and convex analysis, optimal stochastic control and backward stochastic differential equations. This theoretical and numerical analysis is applied in different market settings to provide a good basis for the understanding of portfolio optimization with different information flow.
Zielgruppe
Graduate students, rersearchers, portfolio managers and academics worldwide working in all subdisciplines of economics, mathematics and finance
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
- Mathematik | Informatik Mathematik Stochastik
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Anlagen & Wertpapiere
- Mathematik | Informatik Mathematik Mathematik Interdisziplinär Finanz- und Versicherungsmathematik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
Weitere Infos & Material
1. Optimization Problems2. Enlargement of Filtration3. Portfolio Optimization with Credit Risk4. Portfolio Optimization with Information Asymmetry