Simultaneous Trading in 'Lit' and Dark Pools
M. Alessandra Crisafi, Andrea Macrina

TL;DR
This paper develops a comprehensive model for optimal trading across lit and dark pools, incorporating price dynamics, market impacts, and partial executions, and derives strategies using viscosity solutions of associated PDEs.
Contribution
It introduces a novel continuous-time framework combining order-driven exchange dynamics with dark pool trading, including impact effects and partial executions, to determine optimal trading strategies.
Findings
Optimal strategies depend on risk aversion levels.
Roundtrip dark pool posting is not always optimal.
Explicit examples illustrate the model's application.
Abstract
We consider an optimal trading problem over a finite period of time during which an investor has access to both a standard exchange and a dark pool. We take the exchange to be an order-driven market and propose a continuous-time setup for the best bid price and the market spread, both modelled by L\'evy processes. Effects on the best bid price arising from the arrival of limit buy orders at more favourable prices, the incoming market sell orders potentially walking the book, and deriving from the cancellations of limit sell orders at the best ask price are incorporated in the proposed price dynamics. A permanent impact that occurs when 'lit' pool trades cannot be avoided is built in, and an instantaneous impact that models the slippage, to which all 'lit' exchange trades are subject, is also considered. We assume that the trading price in the dark pool is the mid-price and that no fees…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Systems and Time Series Analysis · Stochastic processes and financial applications · Financial Markets and Investment Strategies
