Computational finance deals with the mathematics of computer
programs that realize financial models or systems. This book
outlines the epistemic risks associated with the current valuations
of different financial instruments and discusses the corresponding
risk management strategies. It covers most of the research and
practical areas in computational finance. Starting from traditional
fundamental analysis and using algebraic and geometric tools, it is
guided by the logic of science to explore information from
financial data without prejudice. In fact, this book has the unique
feature that it is structured around the simple requirement of
objective science: the geometric structure of the data = the
information contained in the data.
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