Expert systems in finance
This volume is a collection of cutting-edge research and applications chapters dealing with Expert System (ES) technologies in finance. Expert Systems in Finance and Accounting provides a cross-section of materials dealing with the application of ES in both finance and accounting areas ranging from variance analysis and audit selection in accounting to commodity trading, computerized trading and credit risk assessment in finance. The book identifies issues and opportunities for applying Expert Systems technology to financial management, portfolio and investment analysis and financial institutions.
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Expert Systems in the Financial Services Industry
fication Problem Solving
developing a corporate credit granting expert system for several Fortune 500
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accounting firms analyze applications approach Artificial Intelligence assessment attributes audit Average Crossovers backward chaining classification closing prices complex concepts context control chart corporate Cost CREDEX customer's database decision support systems developed domain downtrend evaluation evidence example experiential task expert systems expertise factors Figure financial services firm's function genetic algorithms goals heuristics hierarchy industry inference engine interface Key Reversal knowledge base knowledge engineering knowledge groups knowledge representation knowledge-based labor efficiency variance labor rate variance language limits Machine Learning material price variance material quantity variance meta-expert Moving Average open interest optimal oscillators performance problem solving programs purchase range reasoning relational databases represented risk rule-based rules sample Sell signal specific standard statistical structure sub-domain Supercalc tax-based expert systems tests tion trading transaction trend unfavorable Investigation Strategy uptrend variables Variance Amount variance analysis