arXiv:2105.00521
Order flow and price formation
원문 초록
I present an overview of some recent advancements on the empirical analysis and theoretical modeling of the process of price formation in financial markets as the result of the arrival of orders in a limit order book exchange. After discussing critically the possible modeling approaches and the observed stylized facts of order flow, I consider in detail market impact and transaction cost of trades executed incrementally over an extended period of time, by comparing model predictions and recent extensive empirical results. I also discuss how the simultaneous presence of many algorithmic trading executions affects the quality and cost of trading.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
ClusterLOB: Enhancing Trading Strategies by Clustering Orders in Limit Order Books
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
AI-Powered Energy Algorithmic Trading: Integrating Hidden Markov Models with Neural Networks
Reinforcement Learning Pair Trading: A Dynamic Scaling approach
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading
토론
이 논문과 연결된 포럼 글이 아직 없습니다.