z-logo
open-access-imgOpen Access
Combination of Value-at-Risk Models with Support Vector Machine
Author(s) -
Yong-Tae Kim,
Jooyong Shim,
Jang-Taek Lee,
Changha Hwang
Publication year - 2009
Publication title -
communications for statistical applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.326
H-Index - 6
eISSN - 2383-4757
pISSN - 2287-7843
DOI - 10.5351/ckss.2009.16.5.791
Subject(s) - value at risk , vector autoregression , autoregressive conditional heteroskedasticity , econometrics , support vector machine , quantile regression , value (mathematics) , market risk , quantile , expected shortfall , selection (genetic algorithm) , risk measure , model selection , computer science , mathematics , statistics , economics , risk management , artificial intelligence , financial economics , volatility (finance) , finance , portfolio

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom