Information Content of an Open Limit-Order Book: Indian Evidence

Mayank Gupta and Saurabh Kumar
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Mayank Gupta: Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
Saurabh Kumar: Indian Institute of Management Indore, Indore, Madhya Pradesh, India

American Business Review, 2025, vol. 28, issue 1, 34-64

Abstract: Using the 5-year period (2014-18) limit-order book and trade book data from NSE, this paper investigates the contribution of an open limit-order book towards price discovery and market efficiency. In particular, the paper examines two interesting questions: (a) the information content of the limit-order book beyond the best prices and (b) the order submission choices of informed traders. The results indicate that the deeper levels of the order book significantly contribute to short-term return predictability, even after controlling for the return autocorrelations, volume, and trade imbalances. Furthermore, this return predictability is time-varying and relatively high around lower quantiles of the return distribution. There is evidence to suggest that informed trading is more pronounced during the environments characterized by low liquidity and high uncertainty. The information share (Hasbrouck, 1995) and component share (Gonzalo & Granger, 1995) measures show that, out of the total contribution of the limit-order book to price discovery, the deeper levels’ share is nearly 50%.

Keywords: Order Imbalance; De-Facto Market Making; Limit-Order Book; Price Discovery and Short-Term Return Pre (search for similar items in EconPapers)
JEL-codes: E30 G14 G33 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:ris:ambsrv:0126

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