The use of mathematical models in financial management is today common business practice. The state of the art is constantly being advanced by academia and refined by industry. This book achieves two objectives. First, it brings together the (apparently) diverse fields of finance and management science/operations research. It presents a variety of techniques used in complex problems for financial management: optimization, simulation, stochastic programming and supercomputing. Second, it links current industrial practices with academic research to a degree unparalleled by any previous publication in the field.
"synopsis" may belong to another edition of this title.
This book achieves two objectives. First, it brings together the (apparently) diverse fields of finance and management science/operations research. Second, it links current industrial practices with academic research to a degree unparalleled by any previous publication in the field.
The book covers a wide range of topics: portfolio management of equities and fixed-income investments, the pricing of complex insurance, mortgage and other asset-backed products, and models for risk-management and diversification. Standard models are presented and analysed, and the problem of portfolio management under uncertainty is examined. Key issues are analysed, mathematical models proposed, and current practices are reviewed and evaluated.
"About this title" may belong to another edition of this title.
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