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Intraday time-series momentum: Evidence from China
Authors:Muzhao Jin  Fearghal Kearney  Youwei Li  Yung Chiang Yang
Institution:1. Queen's Management School, Queen's University Belfast, Belfast, UK;2. Hull University Business School, University of Hull, Hull, UK;3. UCD College of Business, University College Dublin, Dublin, Ireland
Abstract:This study conducts an investigation of intraday time-series momentum across four Chinese commodity futures contracts: copper, steel, soybean, and soybean meal. Our results indicate that the first half-hour return positively predicts the last half-hour return across all four futures. Furthermore, in metals markets, we find that first trading sessions with high volume or volatility are associated with the strongest intraday time-series momentum dynamics. Based on this, we propose an intraday momentum informed trading strategy that earns a return in excess of standard always long and buy-and-hold benchmarks.
Keywords:intraday predictability  momentum  time-series
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