A Bottom-up Approach to the Financial Markets: Agent-Based Quantitative Algorithmic Strategies: Ecosystem, Dynamics & Detection

38 Pages Posted: 13 Feb 2019 Last revised: 12 Jul 2019

See all articles by Babak Mahdavi-Damghani

Babak Mahdavi-Damghani

University of Oxford - Oxford-Man Institute of Quantitative Finance

Stephen Roberts

University of Oxford - Oxford-Man Institute of Quantitative Finance

Date Written: February 9, 2019

Abstract

In this paper we propose a new approach to studying the financial markets. Instead of the traditional top- down approach where a Brownian Motion is assumed as the main driving force behind the market movement (and where dynamic strategies are built as a result), we rather take the opposite point of view (the bottom-up approach) by assuming that it is the interaction of systematic strategies that induces the dynamics of the market. We achieve this shift in perspective, by re-introducing the High Frequency Trading Ecosystem (HFTE) model. More specifically we specify an approach in which agents interact through a Neural Network structure designed to address the complexity demands of most common financial strategies but designed randomly at inception. This strategy ecosystem is then studied through a simplified genetic algorithm. Taking an approach in which simulation and hypothesis interact in order to improve the theory, we explore areas that are usually associated to fields orthogonal to Quantitative Finance such as Evolutionary Dynamics & predator-prey models. We introduce in that context concepts such as the Path of Interaction in order to study our Ecosystem of strategies through time. Finally a Particle Filter methodology is then proposed to track the market ecosystem through time.

Keywords: High Frequency Trading Ecosystem (HFTE), High Frequency Financial Funnel (HFFF), Multi-Target Tracking (MTT), Stability of Financial Systems, Markov Chain Monte Carlo (MCMC), Data Analysis and Patterns in Data, Electronic Trading, Systemic Risk, High Frequency Trading, Game Theory, Machine Learning

Suggested Citation

Mahdavi-Damghani, Babak and Roberts, Stephen, A Bottom-up Approach to the Financial Markets: Agent-Based Quantitative Algorithmic Strategies: Ecosystem, Dynamics & Detection (February 9, 2019). Available at SSRN: https://ssrn.com/abstract=3331423 or http://dx.doi.org/10.2139/ssrn.3331423

Babak Mahdavi-Damghani (Contact Author)

University of Oxford - Oxford-Man Institute of Quantitative Finance ( email )

United Kingdom

Stephen Roberts

University of Oxford - Oxford-Man Institute of Quantitative Finance ( email )

Eagle House
Walton Well Road
Oxford, Oxfordshire OX2 6ED
United Kingdom

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