Decentralized finance and automated market making: Predictable loss and optimal liquidity provision
Constant product markets with concentrated liquidity (CL) are the most popular type of
automated market makers. In this paper, we characterize the continuous-time wealth …
automated market makers. In this paper, we characterize the continuous-time wealth …
Optimal execution: A review
R Donnelly - Applied Mathematical Finance, 2022 - Taylor & Francis
This review article is intended to collect and summarize many of the results in the field of
optimal execution over the last twenty years. In doing so, we describe the general workings …
optimal execution over the last twenty years. In doing so, we describe the general workings …
Decentralised finance and automated market making: Execution and speculation
Automated market makers (AMMs) are a new prototype of trading venues which are
revolutionising the way market participants interact. At present, the majority of AMMs are …
revolutionising the way market participants interact. At present, the majority of AMMs are …
Optimal execution with stochastic delay
We show how traders use marketable limit orders (MLOs) to liquidate a position over a
trading window when there is latency in the marketplace. MLOs are liquidity-taking orders …
trading window when there is latency in the marketplace. MLOs are liquidity-taking orders …
Optimal trading with signals and stochastic price impact
Trading frictions are stochastic. They are, moreover, in many instances fast mean-reverting.
Here, we study how to optimally trade in a market with stochastic price impact and study …
Here, we study how to optimally trade in a market with stochastic price impact and study …
Optimal portfolio execution problem with stochastic price impact
In this paper, we provide a closed-form solution to an optimal portfolio execution problem
with stochastic price impact and stochastic net demand pressure. Specifically, each trade of …
with stochastic price impact and stochastic net demand pressure. Specifically, each trade of …
Reinforcement Learning for Optimal Execution when Liquidity is Time-Varying
Optimal execution is an important problem faced by any trader. Most solutions are based on
the assumption of constant market impact, while liquidity is known to be dynamic. Moreover …
the assumption of constant market impact, while liquidity is known to be dynamic. Moreover …
Adaptive optimal market making strategies with inventory liquidation cost
A novel high-frequency market making approach in discrete time is proposed that admits
closed-form solutions. By taking advantage of demand functions that are linear in the quoted …
closed-form solutions. By taking advantage of demand functions that are linear in the quoted …
The shadow price of latency: Improving intraday fill ratios in foreign exchange markets
Latency is the time delay between an exchange streaming market data to a trader, the trader
processing information and deciding to trade, and the exchange receiving the order from the …
processing information and deciding to trade, and the exchange receiving the order from the …
Macroscopic Market Making
We propose the macroscopic market making model\a la Avellaneda-Stoikov, using
continuous processes for orders instead of discrete point processes. The model intends to …
continuous processes for orders instead of discrete point processes. The model intends to …