Portfolio Selection Using Multi-Objective Optimisation
Language: English
Published by MacMillan, 2018
- Softcover
- New

Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
AbeBooks seller since September 10, 2024
Condition: New
US$ 214.76
Quantity: 4 available
Add to basketItem description from seller
PRINT ON DEMAND pp. XX, 230 21 illus.
Seller Inventory # 18384559791
- Title
- Portfolio Selection Using Multi-Objective Optimisation
- Author
- Agarwal, Saurabh
- Publisher
- MacMillan
- Publication year
- 2018
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3319853899
- ISBN 13
- 9783319853895
This book explores the risk-return paradox in portfolio selection by incorporating multi-objective criteria. Empirical research is presented on the development of alternate portfolio models and their relative performance in the risk/return framework to provide solutions to multi-objective optimization. Next to outlining techniques for undertaking individual investor’s profiling and portfolio programming, it also offers a new and practical approach for multi-objective portfolio optimization. This book will be of interest to Foreign Institutional Investors (FIIs), Mutual Funds, investors, and researchers and students in the field.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Biblios
frankfurt am main, hessen, Germany
AbeBooks seller since September 10, 2024
Shipping rates from Germany to U.S.A.
| Item | 25 to 45 business days | 8 to 14 business days |
|---|---|---|
| First item | US$ 11.32 | US$ 21.28 |
Payment methods
Store description
We carry a wide selection of books from South Asia, United States, UK.
Specialty
new books imported from india, uk, usaSeller's business information
Readingos GmbH
Kaiserstraße 47
Frankfurt am Main, Germany 60329
Shipping terms
To ensure faster delivery, books may be shipped from any of the following locations Germany, the United Kingdom (UK), the United States (US), based on the buyer's address and product availability.