[图书][B] Handbook of price impact modeling

KT Webster - 2023 - taylorfrancis.com
The Handbook of Price Impact Modeling provides practitioners and students with a
mathematical framework grounded in academic references to apply price impact models to …

Cross-impact of order flow imbalance in equity markets

R Cont, M Cucuringu, C Zhang - Quantitative Finance, 2023 - Taylor & Francis
We investigate the impact of order flow imbalance (OFI) on price movements in equity
markets in a multi-asset setting. First, we propose a systematic approach for combining OFIs …

How to build a cross-impact model from first principles: Theoretical requirements and empirical results

M Tomas, I Mastromatteo, M Benzaquen - Quantitative Finance, 2022 - Taylor & Francis
Full article: How to build a cross-impact model from first principles: theoretical requirements
and empirical results Skip to Main Content Taylor and Francis Online homepage Taylor and …

When is cross impact relevant?

V Le Coz, I Mastromatteo, D Challet… - Quantitative …, 2024 - Taylor & Francis
Trading pressure from one asset can move the price of another, a phenomenon referred to
as cross impact. Using tick-by-tick data spanning 5 years for 500 assets listed in the United …

Cross impact in derivative markets

M Tomas, I Mastromatteo, M Benzaquen - arXiv preprint arXiv:2102.02834, 2021 - arxiv.org
Trading a financial asset pushes its price as well as the prices of other assets, a
phenomenon known as cross-impact. The empirical estimation of this effect on complex …

Stochastic Liquidity as a Proxy for Concave Multi-Asset Propagator Models

J Muhle-Karbe, C Tracy - 2024 - papers.ssrn.com
We study multi-asset propagator models that describe how the self and cross impact of
trades on prices decay over time. As for a single asset, the model fit can be improved …

Price Impact Without Averaging

C Bellani, D Brigo, MS Pakkanen… - Applied Mathematical …, 2023 - Taylor & Francis
We present a method to estimate price impact in order-driven markets that does not require
averaging over executions or scenarios. Given order book data associated with one single …

Data-driven methods for simulation and forecasting of financial time series

C Zhang - Available at SSRN 4496099, 2023 - papers.ssrn.com
Data-driven Methods for Simulation and Forecasting of Financial Time Series Abstract Page 1
Data-driven Methods for Simulation and Forecasting of Financial Time Series Chao Zhang The …