Using neural networks to tune the fluctuation of daily financial condition indicator for financial crisis forecasting

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4304 LNAI, Issue , 2006, Pages 607-616

  Oh, Kyong Joo ^a   Kim, Tae Yoon ^b   Kim, Chiho ^c   Lee, Suk Jun ^a  

^a Yonsei University   (South Korea)

^b Keimyung University   (South Korea)

^c Korea Deposit Insurance Corporation   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCE; ELECTRONIC TRADING; FINANCIAL MARKETS; TUNING;

CONDITION INDICATORS; EARLY WARNING; EARLY WARNING SYSTEMS; ECONOMIC VARIABLES; FINANCIAL CRISIS; MACROECONOMIC VARIABLES; MARKET VOLATILITY;

NEURAL NETWORKS;

EID: 78650684313     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11941439_65     Document Type: Conference Paper

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