Search

Search

Papers, wiki, Option Blackboard, encyclopedia, and cards.

Results for “clone” · papers 5 · wiki 1
Academic Papers · 5arXiv q-fin live 5 · desk corpus 0
arXiv · arXiv q-fin · 2025

Hedging with Sparse Reward Reinforcement Learning

Derivatives, as a critical class of financial instruments, isolate and trade the price attributes of risk assets such as stocks, commodities, and indices, aiding risk management and enhancing market efficiency. However, traditional hedging models, constrained by assumptions such as continuous trading and zero transaction costs, fail to satisfy risk control requirements in complex and uncertain real-world markets. Wit

Yiheng Ding, Gangnan Yuan, Dewei Zuo, Ting Gao
arXiv · arXiv q-fin · 2024

Pretrained LLM Adapted with LoRA as a Decision Transformer for Offline RL in Quantitative Trading

Developing effective quantitative trading strategies using reinforcement learning (RL) is challenging due to the high risks associated with online interaction with live financial markets. Consequently, offline RL, which leverages historical market data without additional exploration, becomes essential. However, existing offline RL methods often struggle to capture the complex temporal dependencies inherent in financi

Suyeol Yun
arXiv · arXiv q-fin · 2021

Reinforcement Learning with Expert Trajectory For Quantitative Trading

In recent years, quantitative investment methods combined with artificial intelligence have attracted more and more attention from investors and researchers. Existing related methods based on the supervised learning are not very suitable for learning problems with long-term goals and delayed rewards in real futures trading. In this paper, therefore, we model the price prediction problem as a Markov decision process (

Sihang Chen, Weiqi Luo, Chao Yu
arXiv · arXiv q-fin · 2021

Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets

Continuous double auctions such as the limit order book employed by exchanges are widely used in practice to match buyers and sellers of a variety of financial instruments. In this work, we develop an agent-based model for trading in a limit order book and show (1) how opponent modelling techniques can be applied to classify trading agent archetypes and (2) how behavioural cloning can be used to imitate these agents

Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo Mandic
arXiv · arXiv q-fin · 2007

Quantum Auctions: Facts and Myths

Quantum game theory, whatever opinions may be held due to its abstract physical formalism, have already found various applications even outside the orthodox physics domain. In this paper we introduce the concept of a quantum auction, its advantages and drawbacks. Then we describe the models that have already been put forward. A general model involves Wigner formalism and infinite dimensional Hilbert spaces - we envis

E. W. Piotrowski, J. Sladkowski
Wiki Entities · 1
Option Blackboard · 0
No Option Blackboard entries matched.
Encyclopedia · 1
Cards · 0
No cards matched.
← Back to Codex