activity
20232026
most citedAnomalous diffusion and price impact in the fluid-limit of an order book

2 citations · 3 across the 15 of their papers we have counts for

collaborators

17 papers

q-fin.TR2026

A Finite Bid--Ask Spread from Replenishment Displaced from the Quote

Christopher Angstmann, Derick Diana, Tim Gebbie

We give a unified analytic account of a finite bid--ask spread in a two-field reaction--diffusion order book. The model retains separate bid and ask densities in operational time,…

q-fin.TR2026

Event-Time Order-Flow Memory, Operational-Time Impact, and Subordinated Market Observables

Christopher Angstmann, Tim Gebbie

We consider two canonical market-microstructure regularities: the long-memory of trade signs and the square-root law of meta-order impact. The point is not to propose new empirical…

q-fin.TR2026

Metaorder modelling and identification from public data

Ezra Goliath, Tim Gebbie

Market-order flow in financial markets exhibits long-range correlations. This is a widely known stylised fact of financial markets. A popular hypothesis for this stylised fact come…

physics.soc-ph2026

Reflexivity from Hierarchical Causality

Tim Gebbie

Complex systems are often organised into hierarchies whose internal interactions are stronger or faster than interactions across levels. When markets are treated as genuinely multi…

q-fin.PR2026

Reaction-boundary variance and adjoint-consistent local-volatility projection

Chris Angstmann, Tim Gebbie

We derive an operational-time variance kernel for a latent-order-book reaction boundary and use it to separate three objects usually collapsed in calendar-time volatility models: a…

q-fin.PR2026

Option prices from operational-time reaction-boundary lattices

Chris Angstmann, Tim Gebbie

We consider the role of a continuum operational time , its mapping to calendar time , and their relation to event time in option-pricing problems. We derive option-pricing eq…

q-fin.TR2026

A Gabor--Epps uncertainty principle for traders

Tim Gebbie

We propose a Gabor--Epps uncertainty principle for practical trading. The key idea is that high-frequency correlation is not observed in clock time alone, but is resolved through m…

q-fin.TR2026

Revisiting Trade-sign Long-memory and Square-root Law price impact

Chris Angstmann, Tim Gebbie

Starting with a coupled discrete reaction--diffusion formulation for the lit and latent order books with non-uniformly sampled event times and meta-order source terms we show how t…

cs.MA2026

A Simple Hierarchical Causality Primer

Tim Gebbie

We provide a brief primer for the idea behind formalising hierarchical causality in the context of complex systems. Here actors are not simply agents. Actors instantiate causation…

q-fin.TR2026

Correlation emergence and the Epps effect in two coupled limit order books

Chris Angstmann, Tim Gebbie

We give a unified analytic account of correlation emergence and the Epps effect in two coupled limit order books. The Epps effect is the empirical reduction in measured cross-asset…

cs.AI2026

The Ethics of LLM Sandbox and Persona Dynamics

Tim Gebbie, Stewart Gebbie

It is well known that LLM guardrails and trained persona dynamics can produce a reality gap: the distance between the world a LLM is permitted or shaped to describe, and the world…

q-fin.TR2026

Non-unique time and market incompleteness

Chris Angstmann, Tim Gebbie

Financial markets are often modelled as if time were unique and continuous across assets and markets. Financial markets are however asynchronous, order flow is event-driven, and wa…

q-fin.TR2026

Metaorder modelling and identification from public data

Ezra Goliath, Tim Gebbie

Market-order flow in financial markets exhibits long-range correlations. This is a widely known stylised fact of financial markets. A popular hypothesis for this stylised fact come…

q-fin.PM2025★ 1 cited

The bias of IID resampled backtests for rolling-window mean-variance portfolios

Andrew Paskaramoorthy, Terence van Zyl, Tim Gebbie

Backtests on historical data are the basis for practical evaluations of portfolio selection rules, but their reliability is often limited by reliance on a single sample path. This…

q-fin.ST2024

Representation Learning for Regime detection in Block Hierarchical Financial Markets

Alexa Orton, Tim Gebbie

We consider financial market regime detection from the perspective of deep representation learning of the causal information geometry underpinning traded asset systems using a hier…

q-fin.TR2024

Correlation emergence in two coupled simulated limit order books

Dominic Bauer, Derick Diana, Tim Gebbie

We use random walks to simulate the fluid limit of two coupled diffusive limit order books to model correlation emergence. The model implements the arrival, cancellation and diffus…

q-fin.CP2023★ 2 cited

Anomalous diffusion and price impact in the fluid-limit of an order book

Derick Diana, Tim Gebbie

We extend a Discrete Time Random Walk (DTRW) numerical scheme to simulate the anomalous diffusion of financial market orders in a simulated order book. Here using random walks with…