Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 167 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 33 tok/s Pro
GPT-5 High 40 tok/s Pro
GPT-4o 92 tok/s Pro
Kimi K2 193 tok/s Pro
GPT OSS 120B 425 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

Wasserstein Robust Market Making via Entropy Regularization (2503.04072v1)

Published 6 Mar 2025 in q-fin.MF and q-fin.TR

Abstract: In this paper, we introduce a robust market making framework based on Wasserstein distance, utilizing a stochastic policy approach enhanced by entropy regularization. We demonstrate that, under mild assumptions, the robust market making problem can be reformulated as a convex optimization question. Additionally, we outline a methodology for selecting the optimal radius of the Wasserstein ball, further refining our framework's effectiveness.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com
Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 tweet and received 2 likes.

Upgrade to Pro to view all of the tweets about this paper: