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Soft-Computing in Capital Market - Research and Methods of Computational Finance for Measuring Risk of Financial Instruments (Paperback)
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Soft-Computing in Capital Market - Research and Methods of Computational Finance for Measuring Risk of Financial Instruments (Paperback)
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Computational Finance, an exciting new cross-disciplinary research
area, depends extensively on the tools and techniques of computer
science, statistics, information systems and financial economics
for educating the next generation of financial researchers,
analysts, risk managers, and financial information technology
professionals. This new discipline, sometimes also referred to as
"Financial Engineering" or "Quantitative Finance" needs
professionals with extensive skills both in finance and mathematics
along with specialization in computer science. Soft-Computing in
Capital Market hopes to fulfill the need of applications of this
offshoot of the technology by providing a diverse collection of
cross-disciplinary research. This edited volume covers most of the
recent, advanced research and practical areas in computational
finance, starting from traditional fundamental analysis using
algebraic and geometric tools to the logic of science to explore
information from financial data without prejudice. Utilizing
various methods, computational finance researchers aim to determine
the financial risk with greater precision that certain financial
instruments create. In this line of interest, twelve papers dealing
with new techniques and/or novel applications related to
computational intelligence, such as statistics, econometrics,
neural- network, and various numerical algorithms are included in
this volume.
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