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Original Articles

Order imbalances explain 90% of returns of Nikkei 225 futures

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Pages 1241-1245 | Published online: 27 Jul 2009

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Wael Louhichi. (2012) Does trading activity contain information to predict stock returns? Evidence from Euronext Paris. Applied Financial Economics 22:8, pages 625-632.
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Articles from other publishers (6)

Abhinava Tripathi, Alok Dixit & Vipul Vipul. (2019) Liquidity of financial markets: a review. Studies in Economics and Finance 37:2, pages 201-227.
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Michael Weigerding & Michael Hanke. (2018) Drivers of seasonal return patterns in German stocks. Business Research 11:1, pages 173-196.
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Michael Hanke & Michael Weigerding. (2015) Order flow imbalance effects on the German stock market. Business Research 8:2, pages 213-238.
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Meng Li, Xiaofeng Hui, Misao Endo & Kazuo Kishimoto. (2014) A quantitative model for intraday stock price changes based on order flows. Journal of Systems Science and Complexity 27:1, pages 208-224.
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Meng Li & Kazuo Kishimoto. (2010) Testing whether the Nikkei225 best bid/ask price path follows the first order discrete Markov chain - an approach in terms of the total “$\rho$-variation" -. JSIAM Letters 2:0, pages 103-106.
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Shiwei Zuo, Meng Li, Kazuo Kishimoto & Misao Endo. (2009) A Queuing Model for a Continuous Double-Auction Trading System. SSRN Electronic Journal.
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