Transmission of Trading Orders through Communication Line with Relativistic Delay

The notion of “relativistic finance” became ingrained in the public imagination and has been asserted in many mass-media reports. However, despite an observed drive of the most reputable Wall Street firms to establish their servers ever closer to the trading hubs, there is surprisingly little concre...

Full description

Bibliographic Details
Main Author: Peter B. Lerner
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:International Journal of Financial Studies
Subjects:
Online Access:https://www.mdpi.com/2227-7072/9/1/12
id doaj-10f44a654188496eba6fca390dcf5a81
record_format Article
spelling doaj-10f44a654188496eba6fca390dcf5a812021-02-27T00:03:41ZengMDPI AGInternational Journal of Financial Studies2227-70722021-02-019121210.3390/ijfs9010012Transmission of Trading Orders through Communication Line with Relativistic DelayPeter B. Lerner0Anglo-American University, Letenská 120/5, 118 00 Malá Strana, Czech RepublicThe notion of “relativistic finance” became ingrained in the public imagination and has been asserted in many mass-media reports. However, despite an observed drive of the most reputable Wall Street firms to establish their servers ever closer to the trading hubs, there is surprisingly little concrete information related to the relativistic delay of the trading orders. There is an underlying assumption that faster electronics are always beneficial to the stability of the network. In this paper, the author proposes a modified M/M/G queue theory to describe the propagation of the trading signal with finite velocity. Based on this theory, we demonstrate that, even if the reaction time of the system is negligible, the propagating signal is distorted by simple acts of trading along the transmission line.https://www.mdpi.com/2227-7072/9/1/12network dynamicshigh-frequency tradingsignal processingrelativistic delayqueue theory
collection DOAJ
language English
format Article
sources DOAJ
author Peter B. Lerner
spellingShingle Peter B. Lerner
Transmission of Trading Orders through Communication Line with Relativistic Delay
International Journal of Financial Studies
network dynamics
high-frequency trading
signal processing
relativistic delay
queue theory
author_facet Peter B. Lerner
author_sort Peter B. Lerner
title Transmission of Trading Orders through Communication Line with Relativistic Delay
title_short Transmission of Trading Orders through Communication Line with Relativistic Delay
title_full Transmission of Trading Orders through Communication Line with Relativistic Delay
title_fullStr Transmission of Trading Orders through Communication Line with Relativistic Delay
title_full_unstemmed Transmission of Trading Orders through Communication Line with Relativistic Delay
title_sort transmission of trading orders through communication line with relativistic delay
publisher MDPI AG
series International Journal of Financial Studies
issn 2227-7072
publishDate 2021-02-01
description The notion of “relativistic finance” became ingrained in the public imagination and has been asserted in many mass-media reports. However, despite an observed drive of the most reputable Wall Street firms to establish their servers ever closer to the trading hubs, there is surprisingly little concrete information related to the relativistic delay of the trading orders. There is an underlying assumption that faster electronics are always beneficial to the stability of the network. In this paper, the author proposes a modified M/M/G queue theory to describe the propagation of the trading signal with finite velocity. Based on this theory, we demonstrate that, even if the reaction time of the system is negligible, the propagating signal is distorted by simple acts of trading along the transmission line.
topic network dynamics
high-frequency trading
signal processing
relativistic delay
queue theory
url https://www.mdpi.com/2227-7072/9/1/12
work_keys_str_mv AT peterblerner transmissionoftradingordersthroughcommunicationlinewithrelativisticdelay
_version_ 1724248785612177408