Abstract
Quantitative trading in oil-based markets is investigated over 2003-2010, with a focus on WTI, Brent, heating oil and gas oil. A total of 861 spreads are considered. A novel optimal statistical arbitrage trading model is applied, with generalised stepwise procedures controlling for data snooping bias. Aggregating upward and downward mean-reversion, protable strategies are identied with Sharpe ratios greater than 2 in many instances. For the top categories, average daily returns range from 0.07 to 0.55%, with trade lengths of 9-55 days. A collapse in the number of protable trading strategies is seen in 2008. Robustness to varying transactions costs is examined.
Original language | English |
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Title of host publication | Commodities |
Editors | M. A. H. Dempster, Ke Tang |
Chapter | 7 |
Pages | 119-147 |
Number of pages | 30 |
Edition | 1st |
ISBN (Electronic) | 9781498712330, 9780429075940 |
DOIs | |
Publication status | Published - 1 Jan 2015 |
Keywords
- oil-based markets
- quantitative trading
- novel optimal statistical arbitrage trading model