This paper uses daily Brent crude prices to investigate the employment of electronic trading on the returns conditional volatility in the oil futures market. After a suitable GARCH model is established, the conditional volatility series are found. The Bai and Perron model is then used to find two significant structural breaks for these conditional volatility series around two implementation dates of electronic trading. This result indicates thatthe change in the trading system has significant impacts on the returns volatility since our estimated second break date is very close to the all-electronic trade implementation date. Moreover, the conditional volatility in the all-electronic trading period is found to be more dominated by the temporal persistence rather than the volatility clustering effect. All these evidence can shed some light for explaining the high relationship between more volatile world oil price and the more popular electronic trade. (C) 2008 Elsevier B.V. All rights reserved.
机构:
Univ Jaume 1 Castellon, Dept Finance & Accounting, Castellon de La Plana 12080, SpainUniv Jaume 1 Castellon, Dept Finance & Accounting, Castellon de La Plana 12080, Spain
Illueca, M
Lafuente, JA
论文数: 0引用数: 0
h-index: 0
机构:
Univ Jaume 1 Castellon, Dept Finance & Accounting, Castellon de La Plana 12080, SpainUniv Jaume 1 Castellon, Dept Finance & Accounting, Castellon de La Plana 12080, Spain
机构:
Univ Pretoria, Dept Econ, Private Bag X20, Hatfield 0028, South AfricaUniv Pretoria, Dept Econ, Private Bag X20, Hatfield 0028, South Africa
Gupta, Rangan
Nielsen, Joshua
论文数: 0引用数: 0
h-index: 0
机构:
Boulder Investment Technol LLC, 1942 Broadway Suite 314C, Boulder, CO 80302 USAUniv Pretoria, Dept Econ, Private Bag X20, Hatfield 0028, South Africa
Nielsen, Joshua
Pierdzioch, Christian
论文数: 0引用数: 0
h-index: 0
机构:
Helmut Schmidt Univ, Dept Econ, Holstenhofweg 85, POB 700822, D-22008 Hamburg, GermanyUniv Pretoria, Dept Econ, Private Bag X20, Hatfield 0028, South Africa