The Role of Precision Timing in Stock Market Price Discovery when Trading through Distributed Ledgers
DOI:
https://doi.org/10.18311/jbt/2019/23355Keywords:
Clearing, Coordinated Universal Time, Distributed Ledger, FinTech, High Frequency Trading, Precision Time, Price Discovery, Settlement, Stock Market, TimestampingAbstract
This paper investigates the importance of "time of execution” and the relevance of "precision time” in order driven transactions done over distributed ledgers. We created a distributed market place using stock market price data from the Toronto Stock Exchange (TMX). We then proceeded to test and measure the impact of timing of orders at the nanosecond level. Whilst price discovery in order driven markets is done instantaneously, with distributed markets, it is necessary to know which order to process first to avoid "front-running”. We argue that a protocol for the time of order of receipt and execution should be subject to nanosecond stacking. Our approach incorporates both transitory and permanent price discovery components. It allows for the efficient processing of transactions and the order that are received by a market clearing distributed ledger.Downloads
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All the articles published in JBT are distributed under a creative commons license. The journal allows the author(s) to hold the copyright of their work (all usages allowed except for commercial purpose).Accepted 2019-02-25
Published 2019-07-04
References
Bayer D, Haber S, Scott Stornetta W. Improving the efficiencyand reliability of digital timestamping. Sequences II: Methods in Communication, Security and Computer Science. 1993:329–34.
Benaloh J, De Mare M. Efficient broadcast time-stamping.Clarkson University: Department of Mathematics and Computer Science TR; 1991. p. 91–101.
Bernhardt D, Taub B. Front-running dynamics. JET. 2008; 138(1):288–96. https://doi.org/10.1016/j.jet.2007.05.005
Broby D, Paul G. The financial auditing of distributed ledgers,blockchain and cryptocurrencies. Journal of Financial Transformation. 2017; 46:76–88.
Brogaard J, Hendershott T, Riordan R. High-frequency tradingand price discovery. Rev Financ Stud. 2014; 27(8):2267–306. https://doi.org/10.1093/rfs/hhu032
Goodhart CAE, O'Hara M. High frequency data in financial markets: Issues and applications. J Empir Financ. 1997; 4(2):73–114.
Haber S, Stornetta WS. How to timestamp a digital document.Conference on the Theory and Application of Cryptography; Berlin, Heidelberg: Springer; 1990. p. 437–55.
Hagstromer B, Norden L. The diversity of high-frequency traders. J Fin Markets. 2013; 16(4):741–70. https://doi.org/10.1016/j.finmar.2013.05.009
Hasbrouck J. One security, many markets: Determining the contributions to price discovery. JOF. 1995; 50(4):1175– 99. https://doi.org/10.1111/j.1540-6261.1995.tb04054.x
Hendershott T, Menkveld AJ. Price pressures. J Financ Econ. 2014; 114(3):405–23. https://doi.org/10.1016/j.jfineco.2014.08.001
Madhavan A. Market microstructure: A survey. J Fin Markets. 2000; 3(3): 205–58. https://doi.org/10.1016/ S1386-4181(00)00007-0
Mainelli M, Smith M. Sharing ledgers for sharing economies:An exploration of mutual distributed ledgers (aka blockchain technology). The Journal of Financial Perspectives. 2015; 3(3):38–69.
Massacci F, Ngo N, Nie J, Venturi D, Williams J. FuturesMEX: Secure distributed, futures market exchange. Unpublished Journal Submission. 2017.
Menkveld AJ, Koopman SJ, Lucas A. Modeling aroundtheclock price discovery for cross-listed stocks using state space methods. J Bus Econ Stat. 2007; 25(2):213–25.https://doi.org/10.1198/073500106000000594
Pinna A, Ruttenberg W. Distributed ledger technologies in securities post-trading revolution or evolution? 2016.