Natural Computing in Computational Finance is a innovative volume
containing fifteen chapters which illustrate cutting-edge
applications of natural computing or agent-based modeling in modern
computational finance. Following an introductory chapter the book
is organized into three sections. The first section deals with
optimization applications of natural computing demonstrating the
application of a broad range of algorithms including, genetic
algorithms, differential evolution, evolution strategies,
quantum-inspired evolutionary algorithms and bacterial foraging
algorithms to multiple financial applications including portfolio
optimization, fund allocation and asset pricing. The second section
explores the use of natural computing methodologies such as genetic
programming, neural network hybrids and fuzzy-evolutionary hybrids
for model induction in order to construct market trading, credit
scoring and market prediction systems. The final section
illustrates a range of agent-based applications including the
modeling of payment card and financial markets. Each chapter
provides an introduction to the relevant natural computing
methodology as well as providing a clear description of the
financial application addressed.
The book was written to be accessible to a wide audience and
should be of interest to practitioners, academics and students, in
the fields of both natural computing and finance.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
