Skip to main content

An Analysis of the Performance of Genetic Programming for Realised Volatility Forecasting Cover

.blurhash-client-img { display: none !important; }

An Analysis of the Performance of Genetic Programming for Realised Volatility Forecasting

Journal of Artificial Intelligence and Soft Computing Research

Volume 6 (2016): Issue 3 (July 2016)

By: Zheng Yin, Conall O’Sullivan and Anthony Brabazon

Open Access

|Jun 2016

Authors

Zheng Yin

Conall O’Sullivan

Anthony Brabazon

Articles in this issue

DOI: https://doi.org/10.1515/jaiscr-2016-0012

Journal RSS Feed

Language: English

Page range: 155 - 172

Published on: Jun 10, 2016

Published by: SAN University

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Realised Volatility,

Genetic Programming,

High Frequency Data

Related subjects:

Computer sciences,

Databases and data mining,

Artificial intelligence

© 2016 Zheng Yin, Conall O’Sullivan, Anthony Brabazon, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 6 (2016): Issue 3 (July 2016)

Previous article