{"title":"高频定量金融策略的多物种捕食-猎物生态系统HFTE模型","authors":"Babak Mahdavi-Damghani","doi":"10.2139/ssrn.2946436","DOIUrl":null,"url":null,"abstract":"In this paper we take a new approach to studying electronic trading & systemic risk by introducing the HFTE model. We specify an approach in which agents interact through a topological structure designed to address the complexity demands of most common high frequency strategies but designed randomly at inception. The primitive strategy ecosystem is then studied through a simplified genetic algorithm. The results open up intriguing social and regulatory implications with the helping doors of Mathematical Biology & Game Theory which specific mirror points have been summarized for the sake of illustrating the puzzling findings.","PeriodicalId":141051,"journal":{"name":"Computational Biology eJournal","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Introducing the HFTE Model: A Multi-Species Predator Prey Ecosystem for High Frequency Quantitative Financial Strategies\",\"authors\":\"Babak Mahdavi-Damghani\",\"doi\":\"10.2139/ssrn.2946436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we take a new approach to studying electronic trading & systemic risk by introducing the HFTE model. We specify an approach in which agents interact through a topological structure designed to address the complexity demands of most common high frequency strategies but designed randomly at inception. The primitive strategy ecosystem is then studied through a simplified genetic algorithm. The results open up intriguing social and regulatory implications with the helping doors of Mathematical Biology & Game Theory which specific mirror points have been summarized for the sake of illustrating the puzzling findings.\",\"PeriodicalId\":141051,\"journal\":{\"name\":\"Computational Biology eJournal\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Biology eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2946436\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2946436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Introducing the HFTE Model: A Multi-Species Predator Prey Ecosystem for High Frequency Quantitative Financial Strategies
In this paper we take a new approach to studying electronic trading & systemic risk by introducing the HFTE model. We specify an approach in which agents interact through a topological structure designed to address the complexity demands of most common high frequency strategies but designed randomly at inception. The primitive strategy ecosystem is then studied through a simplified genetic algorithm. The results open up intriguing social and regulatory implications with the helping doors of Mathematical Biology & Game Theory which specific mirror points have been summarized for the sake of illustrating the puzzling findings.