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Derivative securities --- Financial engineering --- Risk management

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An edited compilation of articles that focus on using financial engineering - a multidisciplinary field that uses technical methods from the fields of finance, mathematics and economics - to design financial services for low-income households. The book aims to provide an understanding of the various risk-reward trade-offs facing low-income households and how principles of financial engineering can be best applied to understand and manage the complete suite of financial and non-financial assets, including human capital, insurance, annuities and loans.

Financial services industry --- Poor --- Financial engineering --- Finance --- Business & Economics --- Finance - General --- Social aspects --- Finance, Personal --- Financial engineering. --- Social aspects. --- Finance, Personal. --- Computational finance --- Engineering, Financial --- Disadvantaged, Economically --- Economically disadvantaged --- Impoverished people --- Low-income people --- Pauperism --- Poor, The --- Poor people --- Services, Financial --- Economic conditions --- Persons --- Social classes --- Poverty --- Service industries --- E-books

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“Practical Applications of Evolutionary Computation to Financial Engineering” presents the state of the art techniques in Financial Engineering using recent results in Machine Learning and Evolutionary Computation. This book bridges the gap between academics in computer science and traders and explains the basic ideas of the proposed systems and the financial problems in ways that can be understood by readers without previous knowledge on either of the fields. To cement the ideas discussed in the book, software packages are offered that implement the systems described within. The book is structured so that each chapter can be read independently from the others. Chapters 1 and 2 describe evolutionary computation. The third chapter is an introduction to financial engineering problems for readers who are unfamiliar with this area. The following chapters each deal, in turn, with a different problem in the financial engineering field describing each problem in detail and focusing on solutions based on evolutionary computation. Finally, the two appendixes describe software packages that implement the solutions discussed in this book, including installation manuals and parameter explanations.

Artificial intelligence. --- Evolutionary computation. --- Financial engineering. --- Engineering & Applied Sciences --- Computer Science --- Computational finance --- Engineering, Financial --- Computation, Evolutionary --- Engineering. --- Finance. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Finance, general. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Funding --- Funds --- Economics --- Currency question --- Construction --- Industrial arts --- Technology --- Finance --- Neural networks (Computer science) --- Artificial Intelligence. --- Financial applications. --- Data processing