000			01575cam a22003014a 4500
008			040929t2005 mauadloerb 001 0 eng
020			_a0124859674
020			_a9780124859678
040			_aDLC _cDLC
050	0	0	_aHG4012.5 _b.M38 2005
082	0	0	_a332.0285'632 _bMCN
100	1		_aMcNelis, Paul D.
245	1	0	_aNeural networks in finance : _bgaining predictive edge in the market /
260			_aBurlington, MA : _bElsevier Academic Press, _cc2005.
300			_axv, 243 p. :
440		0	_aAcademic Press advanced finance series
504			_aIncludes bibliographical references p. ( [221]-231).
520			_aThis book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction. McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond spread, to inflation and deflation processes in Hong Kong and Japan, to credit card default in Germany to bank failures in Texas, to cap-floor volatilities in New York and Hong Kong.
590			_arpm 09/05/13
591			_aLoans
650		0	_aFinance
650		0	_aNeural networks (Computer science)
650		0	_aDecision making - data processing
856	4	1	_uhttp://www.loc.gov/catdir/toc/ecip051/2004022859.html
856	4	2	_uhttp://www.loc.gov/catdir/enhancements/fy0617/2004022859-d.html
942			_2ddc _cBOOK
949			_a332.0285'632 MCN
999			_c689 _d689