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Quantitative spread trading on crude oil and refined products markets

机译:原油和成品油市场的定量点差交易

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摘要

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, profitable strategies are identified 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 profitable trading strategies is seen in 2008. Robustness to varying transactions costs is examined.View full textDownload full textKeywordsEconometrics, Energy derivatives, Trading systems, Quantitative trading strategiesJEL Classification:C1, C5, C6, C12, C52, C63Related var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/14697688.2012.715749
机译:在2003年至2010年期间,对基于石油的市场中的定量交易进行了调查,重点是WTI,布伦特原油,取暖油和粗柴油。总共考虑了861个点差。应用了一种新颖的最优统计套利交易模型,该模型采用广义的分步程序来控制数据监听偏差。汇总向上和向下的均值回归后,在许多情况下,夏普比率大于2的情况就可以确定有利可图的策略。对于顶级类别,平均每日收益范围为0.07至0.55%,交易时间为9-55天。在2008年,获利交易策略的数量出现了下降。研究了对各种交易成本的稳健性。 var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,servicescompact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/14697688.2012.715749

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