OpenAlex | Support Vector Machine as an Efficient Framework for Stock Market Volatility Forecasting

Support Vector Machine as an Efficient Framework for Stock Market Volatility Forecasting

Work

Year: 2006

Type: article

Source: Computational Management Science

Authors Valeriy Gavrishchaka, Supriya Banerjee

Institution Science Applications International Corporation (United States)

Cites: 38

Cited by: 77

Related to: 10

FWCI: 1.143

Citation percentile (by year/subfield): 91.03

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed