Stock Market Modeling and Forecasting (Record no. 57593)

000 -LEADER
fixed length control field 03577nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-1-4471-5155-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112224.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130406s2013 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781447151555
-- 978-1-4471-5155-5
082 04 - CLASSIFICATION NUMBER
Call Number 629.8
100 1# - AUTHOR NAME
Author Zheng, Xiaolian.
245 10 - TITLE STATEMENT
Title Stock Market Modeling and Forecasting
Sub Title A System Adaptation Approach /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 161 p. 92 illus.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Control and Information Sciences,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 A System Adaptation Framework -- Market Input Analysis -- Analysis of Dow Jones Industrial Average -- Selected Asian Markets -- Forecasting of Market Major Turning Periods -- Technical Analysis Toolkit -- Further Research.
520 ## - SUMMARY, ETC.
Summary, etc Stock Market Modeling 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 stock market exhibits fast and slow dynamics corresponding to internal (such as company value and profitability) and external 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.
700 1# - AUTHOR 2
Author 2 Chen, Ben M.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-5155-5
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Koha item type eBooks
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2013.
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-- txt
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-- computer
-- c
-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
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-- Finance.
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-- Economics, Mathematical.
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-- System theory.
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-- Control engineering.
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-- Engineering.
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-- Control.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Quantitative Finance.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Finance, general.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Systems Theory, Control.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 0170-8643 ;
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-- ZDB-2-ENG

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