Premium
Automated Model Selection in Finance: General‐to‐Specific Modelling of the Mean and Volatility Specifications *
Author(s) -
Sucarrat Genaro,
Escribano Alvaro
Publication year - 2012
Publication title -
oxford bulletin of economics and statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.131
H-Index - 73
eISSN - 1468-0084
pISSN - 0305-9049
DOI - 10.1111/j.1468-0084.2011.00669.x
Subject(s) - volatility (finance) , econometrics , autoregressive model , model selection , stochastic volatility , computer science , specification , economics , finance , machine learning
General‐to‐Specific (GETS) modelling has witnessed major advances thanks to the automation of multi‐path GETS specification search. However, the estimation complexity associated with financial models constitutes an obstacle to automated multi‐path GETS modelling in finance. Making use of a recent result we provide and study simple but general and flexible methods that automate financial multi‐path GETS modelling. Starting from a general model where the mean specification can contain autoregressive terms and explanatory variables, and where the exponential volatility specification can include log‐ARCH terms, asymmetry terms, volatility proxies and other explanatory variables, the algorithm we propose returns parsimonious mean and volatility specifications.