作者: Tshilidzi Marwala
DOI: 10.1007/978-1-4471-5010-7_6
关键词: Boolean reasoning 、 Trading rules 、 Financial market 、 Computer science 、 Economic model 、 Data science 、 Financial economics 、 Rough set 、 Volatility (finance)
摘要: Building models to accurately forecast financial markets has drawn the attention of economists, bankers, mathematicians and scientists alike. The are foundation every economy there many aspects that affect direction, volume, price, flow traded stocks. markets’ weakness external non-financial features as well ensuing volatility makes development a robust accurate market forecasting model an interesting problem. In this chapter rough set theory based is applied identify reducts possibly trading rules on data.