High-Frequency Trading: Insights from Analytical Models and Simulated Agent-Based Models

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Dateien:
Aufrufstatistik

URI: http://hdl.handle.net/10900/87097
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-870976
http://dx.doi.org/10.15496/publikation-28484
Dokumentart: Dissertation
Date: 2019-03-19
Language: English
Faculty: 6 Wirtschafts- und Sozialwissenschaftliche Fakultät
Department: Wirtschaftswissenschaften
Advisor: Schöbel, Rainer (Prof. Dr.-Ing.)
Day of Oral Examination: 2019-02-20
DDC Classifikation: 330 - Economics
Keywords: Markt , Hochfrequenz , Handel , Spieltheorie , Mikrostruktur
Other Keywords:
high-frequency trading
market microstructure
game theory
agent-based models
artificial markets
trading strategies
License: Publishing license including print on demand
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Abstract:

This dissertation studies the influence of High-Frequency Trading (HFT) on market characteristics and participants using analytical dynamic limit order book models and agent-based models. An attempt to converge the assumptions and results of the two types of models is made, which helps to overcome the current divergence between these models. It was shown that entry of fast traders damages slow traders' results, but if the volatility is high enough, their entry might improve some important market qualities, such as trading rate or the aggregate market welfare. The informational advantage of fast traders is detached from their speed advantage and it is investigated how severely HFT influences the market compared to usual informed trading. As the results show, a fast trader is not always worse than an informed slow trader: it depends on initial market conditions, market criteria, and the perspective chosen for the analysis. Moreover, the heterogeneity of the market was enriched further by introducing a random trader, an HFT based on analytical rules, and an informed slow trader based on analytical rules. The more realistic agent-based model with a sophisticated fast fundamentalist provides a further testbed for many possible configurations. For example, different degrees of market latencies, various market compositions and versions of order cancellation rights were investigated.

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