{"title":"风格化事实与市场微观结构:德国债券期货市场的深入探索","authors":"Hamza Bodor, Laurent Carlier","doi":"arxiv-2401.10722","DOIUrl":null,"url":null,"abstract":"This paper presents an in-depth analysis of stylized facts in the context of\nfutures on German bonds. The study examines four futures contracts on German\nbonds: Schatz, Bobl, Bund and Buxl, using tick-by-tick limit order book\ndatasets. It uncovers a range of stylized facts and empirical observations,\nincluding the distribution of order sizes, patterns of order flow, and\ninter-arrival times of orders. The findings reveal both commonalities and\nunique characteristics across the different futures, thereby enriching our\nunderstanding of these markets. Furthermore, the paper introduces insightful\nrealism metrics that can be used to benchmark market simulators. The study\ncontributes to the literature on financial stylized facts by extending\nempirical observations to this class of assets, which has been relatively\nunderexplored in existing research. This work provides valuable guidance for\nthe development of more accurate and realistic market simulators.","PeriodicalId":501478,"journal":{"name":"arXiv - QuantFin - Trading and Market Microstructure","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stylized Facts and Market Microstructure: An In-Depth Exploration of German Bond Futures Market\",\"authors\":\"Hamza Bodor, Laurent Carlier\",\"doi\":\"arxiv-2401.10722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an in-depth analysis of stylized facts in the context of\\nfutures on German bonds. The study examines four futures contracts on German\\nbonds: Schatz, Bobl, Bund and Buxl, using tick-by-tick limit order book\\ndatasets. It uncovers a range of stylized facts and empirical observations,\\nincluding the distribution of order sizes, patterns of order flow, and\\ninter-arrival times of orders. The findings reveal both commonalities and\\nunique characteristics across the different futures, thereby enriching our\\nunderstanding of these markets. Furthermore, the paper introduces insightful\\nrealism metrics that can be used to benchmark market simulators. The study\\ncontributes to the literature on financial stylized facts by extending\\nempirical observations to this class of assets, which has been relatively\\nunderexplored in existing research. This work provides valuable guidance for\\nthe development of more accurate and realistic market simulators.\",\"PeriodicalId\":501478,\"journal\":{\"name\":\"arXiv - QuantFin - Trading and Market Microstructure\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuantFin - Trading and Market Microstructure\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2401.10722\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Trading and Market Microstructure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2401.10722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stylized Facts and Market Microstructure: An In-Depth Exploration of German Bond Futures Market
This paper presents an in-depth analysis of stylized facts in the context of
futures on German bonds. The study examines four futures contracts on German
bonds: Schatz, Bobl, Bund and Buxl, using tick-by-tick limit order book
datasets. It uncovers a range of stylized facts and empirical observations,
including the distribution of order sizes, patterns of order flow, and
inter-arrival times of orders. The findings reveal both commonalities and
unique characteristics across the different futures, thereby enriching our
understanding of these markets. Furthermore, the paper introduces insightful
realism metrics that can be used to benchmark market simulators. The study
contributes to the literature on financial stylized facts by extending
empirical observations to this class of assets, which has been relatively
underexplored in existing research. This work provides valuable guidance for
the development of more accurate and realistic market simulators.