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Stock Market Modeling and Forecasting - A System Adaptation Approach (Paperback, 2013 ed.)
Loot Price: R3,446
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Stock Market Modeling and Forecasting - A System Adaptation Approach (Paperback, 2013 ed.)
Series: Lecture Notes in Control and Information Sciences, 442
Expected to ship within 10 - 15 working days
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Stock Market Modeling and Forecasting translates experience in
system adaptation gained in an engineering context to the modeling
of financial markets with a view to improving the capture and
understanding of market dynamics. The modeling process is
considered as identifying a dynamic system in which a real stock
market is treated as an unknown plant and the identification model
proposed is tuned by feedback of the matching error. Like a
physical system, a financial market exhibits fast and slow dynamics
corresponding to external (such as company value and profitability)
and internal forces (such as investor sentiment and commodity
prices) respectively. The framework presented here, consisting of
an internal model and an adaptive filter, is successful at
considering both fast and slow market dynamics. A double selection
method is efficacious in identifying input factors influential in
market movements, revealing them to be both frequency- and
market-dependent. The authors present work on both developed and
developing markets in the shape of the US, Hong Kong, Chinese and
Singaporean stock markets. Results from all these sources
demonstrate the efficiency of the model framework in identifying
significant influences and the quality of its predictive ability;
promising results are also obtained by applying the model framework
to the forecasting of major market-turning periods. Having shown
that system-theoretic ideas can form the core of a novel and
effective basis for stock market analysis, the book is completed by
an indication of possible and likely future expansions of the
research in this area.
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