Intraday Jump Dynamics: What Predicts Price Jumps?

50 Pages Posted: 4 Oct 2019 Last revised: 9 Nov 2023

See all articles by Saad Khan

Saad Khan

HEC Montreal

Ryan Riordan

Queen's University - Smith School of Business; Ludwig-Maximilians-University Munich, Faculty of Business Administration (Munich School of Management)

Date Written: October 2, 2019

Abstract

This paper examines the relationship between liquidity dynamics in lit exchanges—specifically fragmentation and consolidated depth—and stock price jumps for the sample of S&P 500 stocks. Using a stylized model, we posit that liquidity suppliers fragment offered liquidity and reduce depth to manage risk from latency arbitrage during days with high expected jump intensity (anticipated jumps). In line with our model's predictions, jump counts are 58% larger when fragmentation increases from its 10th to 90th percentile value, while a decrease in consolidated depth from its 90th to 10th percentile is associated with an increase of 15% in jump counts.

Keywords: Jumps, Fragmentation, Liquidity, Latency Arbitrage

JEL Classification: G10, G14, G17, G19

Suggested Citation

Khan, Saad and Riordan, Ryan, Intraday Jump Dynamics: What Predicts Price Jumps? (October 2, 2019). Available at SSRN: https://ssrn.com/abstract=3463429 or http://dx.doi.org/10.2139/ssrn.3463429

Saad Khan

HEC Montreal ( email )

3000, Chemin de la Côte-Sainte-Catherine
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Canada

HOME PAGE: http://saadalikhan.com

Ryan Riordan (Contact Author)

Queen's University - Smith School of Business ( email )

Smith School of Business, Queen's University
143 Union Street
Kingston, Ontario K7L 3N6
Canada

Ludwig-Maximilians-University Munich, Faculty of Business Administration (Munich School of Management) ( email )

Schackstr. 4
Munich, 80539
Germany

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