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.