Volume information in Nikkei and TOPIX futures transactions

• Main Authors: TEE, Chyng Wen, TING, Christopher
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Finance and Financial Management
• Online Access: https://ink.library.smu.edu.sg/lkcsb_research/4866; https://ink.library.smu.edu.sg/context/lkcsb_research/article/5865/viewcontent/110_1718525027.pdf
• Institution: Singapore Management University

According to the Kyle (1985) model of informed trading, information in trade size is likely to effect a permanent price impact, as opposed to bid-ask bounce, which mainly captures transitory price fluctuation. However, two prominent structural models in the literature do not include trade size in their framework. In this paper, we present a nesting relationship of major structural models and formulate a generalized model that includes all relevant trade variables. A new measure to quantify the amount of information in the order flow is proposed. Using this price impact measure, our empirical analysis shows that it is indeed the “surprise” in trade size that contributes significantly in reflecting the price change of Nikkei and TOPIX futures.