From quadratic Hawkes processes to super-Heston rough volatility models with Zumbach effect

Published on arxiv:

From quadratic Hawkes processes to super-Heston rough volatility models with Zumbach effect

Abstract: Using microscopic price models based on Hawkes processes, it has been shown that under some no-arbitrage condition, the high degree of endogeneity of markets together with the phenomenon of metaorders splitting generate rough Heston-type volatility at the macroscopic scale. One additional important feature of financial dynamics, at the heart of several influential works in econophysics, is the so-called feedback or Zumbach effect. This essentially means that past trends in returns convey significant information on future volatility. A natural way to reproduce this property in microstructure modeling is to use quadratic versions of Hawkes processes. We show that after suitable rescaling, the long term limits of these processes are refined versions of rough Heston models where the volatility coefficient is enhanced compared to the square root characterizing Heston-type dynamics. Furthermore the Zumbach effect remains explicit in these limiting rough volatility models.

The Regulation and Operation of Modern Financial Markets – September 5th and 6th, 2019 – Iceland

Organisers: Mathieu Rosenbaum (École Polytechnique), Jean-Pierre Zigrand (London School of Economics), Ásgeir Jónsson (University of Iceland, Central Bank of Iceland), and Jon Þór Sturluson (The Financial Supervisory Authority, Iceland)

The conference studies the operations and workings of modern financial markets and their interactions with, and needs for, financial regulations.
Topics include the market microstructure (including algorithmic and high-frequency trading in fast markets), the effects of this microstructure on liquidity, efficiency and stability and the real-world effects and implementations of financial regulations, including regtech. We aim to achieve this by bringing together practitioners, regulators and academic researchers and create a fertile environment for discussion.

The conference is supported by the Financial Supervisory Authority (FME), Economic and Social Research Council (ESRC) [grant number ES/R009724/1], European Research Council (ERC) [679836 STAQAMOF] and by the project “Digging into High-Frequency Data: Present and Future Risks and Opportunities (Atlantis)” in the framework of the Trans-Atlantic Platform.

Link to the conference’s website

Optimal make take fees in a multi market maker environment

Just published on arxiv:

Optimal make take fees in a multi market maker environment

Abstract: Following the recent literature on make take fees policies, we consider an exchange wishing to set a suitable contract with several market makers in order to improve trading quality on its platform. To do so, we use a principal-agent approach, where the agents (the market makers) optimise their quotes in a Nash equilibrium fashion, providing best response to the contract proposed by the principal (the exchange). This contract aims at attracting liquidity on the platform. This is because the wealth of the exchange depends on the arrival of market orders, which is driven by the spread of market makers. We compute the optimal contract in quasi explicit form and also derive the optimal spread policies for the market makers. Several new phenomena appears in this multi market maker setting. In particular we show that it is not necessarily optimal to have a large number of market makers in the presence of a contracting scheme.