Home
»
Risk-sensitive Investment Management
Risk-sensitive Investment Management
★★★★★
★★★★★
Regular price
€142.99
A01=Mark H A Davis
A01=Sebastien Lleo
Asset and Liability Management
Author_Mark H A Davis
Author_Sebastien Lleo
Benchmarked Asset Management
Category=KFFM
Classical Solutions
Dynamic Investment Management
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
HamiltonAcAEURA"JacobiAcAEURA"Bellman Equations
Hamilton–Jacobi–Bellman Equations
Jump Diffusion Processes
Kelly Criterion
LAfA(C)vy Processes
Lévy Processes
Risk Sensitive Control
Stochastic Control
Viscosity Solutions
Product details
- ISBN 9789814578035
- Publication Date: 30 Sep 2014
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
Delivery/Collection within 10-20 working days
Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock
10-20 Working Days: On Backorder
Will Deliver When Available: On Pre-Order or Reprinting
We ship your order once all items have arrived at our warehouse and are processed. Need those 2-4 day shipping items sooner? Just place a separate order for them!
Over the last two decades, risk-sensitive control has evolved into an innovative and successful framework for solving dynamically a wide range of practical investment management problems.This book shows how to use risk-sensitive investment management to manage portfolios against an investment benchmark, with constraints, and with assets and liabilities. It also addresses model implementation issues in parameter estimation and numerical methods. Most importantly, it shows how to integrate jump-diffusion processes which are crucial to model market crashes.With its emphasis on the interconnection between mathematical techniques and real-world problems, this book will be of interest to both academic researchers and money managers. Risk-sensitive investment management links stochastic control and portfolio management. Because of its distinct emphasis on integrating advanced theoretical concepts into practical dynamic investment management tools, this book stands out from the existing literature in fundamental ways. It goes beyond mainstream research in portfolio management in a traditional static setting. The theoretical developments build on contemporary research in stochastic control theory, but are informed throughout by the need to construct an effective and practical framework for dynamic portfolio management.This book fills a gap in the literature by connecting mathematical techniques with the real world of investment management. Readers seeking to solve key problems such as benchmarked asset management or asset and liability management will certainly find it useful.
Qty:
