Work

The Nikkei Stock Average Prediction by SVM

Year: 2023

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-35132-7_15

Authors: Takahide Kaneko, Yumi Asahi

Institution: Tokyo University of Science

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4383616614

FWCI: 1.099

Cites: 3

Cited by: 2

Related to: 10