Despite the different nature of financial engineering and
electrical engineering, both areas are intimately connected on a
mathematical level. The foundations of financial engineering lie on
the statistical analysis of numerical time series and the modeling
of the behavior of the financial markets in order to perform
predictions and systematically optimize investment strategies.
Similarly, the foundations of electrical engineering, for instance,
wireless communication systems, lie on statistical signal
processing and the modeling of communication channels in order to
perform predictions and systematically optimize transmission
strategies. Both foundations are the same in disguise. It is often
the case in science that the same or very similar methodologies are
developed and applied independently in different areas. A Signal
Processing Perspective of Financial Engineering is about investment
in financial assets treated as a signal processing and optimization
problem. It explores such connections and capitalizes on the
existing mathematical tools developed in wireless communications
and signal processing to solve real-life problems arising in the
financial markets in an unprecedented way. It provides
straightforward and systematic access to financial engineering for
researchers in signal processing and communications so that they
can understand problems in financial engineering more easily and
may even apply signal processing techniques to handle some
financial problems.
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