---
title: "Regret Bounds for Market Making with Persistent Orders"
source: "arXiv AI/CL/LG（论文）"
source_tier: "t2"
url: "https://arxiv.org/abs/2611.06159v1"
permalink: "https://feed.astralor.com/items/itm_65ec9bb3ba5c388b3c9785c5"
published: "2026-11-04T08:39:39.000Z"
score: 59
channel: "tech"
tags: ["推理效率","Regret Bounds","Market Making","Persistent Orders","When","These","Our"]
---

# Regret Bounds for Market Making with Persistent Orders

## 速览

We study adversarial market making with orders that remain active until execution. The maker operates on two markets: a primary market where orders are made and a secondary market where the resulting positions are hedge…

## 关键点

- We study adversarial market making with orders that remain active until execution.
- The maker operates on two markets: a primary market where orders are made and a secondary market where the resulting positions are hedged.
- In each round, the maker posts a quote on the primary market before observing both primary and secondary market prices.

## 全文

We study adversarial market making with orders that remain active until execution. The maker operates on two markets: a primary market where orders are made and a secondary market where the resulting positions are hedged. In each round, the maker posts a quote on the primary market before observing both primary and secondary market prices. An order executes when the primary price reaches its quote, and the resulting position is immediately offset at the secondary price. When both price sequences are chosen by an adversary over $T$ rounds, we give a simple deterministic policy with regret of order $\log T$ against the best fixed quote (static comparator) and $\sqrt T$ against the best quote for each submission date (dynamic comparator), plus two terms measuring exposure to future primary and secondary prices. These rates remain optimal even when both exposure terms vanish and lower bounds show that the exposure terms are necessary. Our policy naturally extends to simultaneous bids and asks, where we show that static and dynamic regret are both characterized (up to constant factors) by the exposures terms (where the primary price exposure $V_T^{\mathrm{two}}$ now accounts for both bids and asks) and a term of order $\sqrt{V_T^{\mathrm{two}}\log T}$. Our policy is simple, efficient and fully parameterless. We extend this setting by demonstrating how natural assumptions on the price processes lead to improved guarantees without changing the policy.

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