{"title":"波动的演变,交易价格的位置,相关性,和交易速度的限制订单","authors":"P. Jain, P. Jain, Thomas H. Mcinish","doi":"10.2139/ssrn.1913982","DOIUrl":null,"url":null,"abstract":"We investigate the information content of the limit order book (LOB) on the Tokyo Stock Exchange, the world’s second largest order-driven market. We find that high frequency microstructure parameters, such as the current cost-to-trade 1% of average daily volume and LOB slope, contain information about future trade price location, price volatility, speed of trading, return autocorrelation and cross-correlation. We also document that the average trade size in LOB is the driving force in the standard volume–volatility relationship, which is contrary to previous findings for other markets. These results are helpful in understanding the price discovery process in a purely order driven market and have potential applications in academics and industry for optimizing the order submission strategies.","PeriodicalId":307682,"journal":{"name":"Midwest Finance Association 2012 Annual Meeting (Archive)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Evolution of Volatility, Trade Price Location, Correlations, and Speed of Trading in the Limit Order Book\",\"authors\":\"P. Jain, P. Jain, Thomas H. Mcinish\",\"doi\":\"10.2139/ssrn.1913982\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigate the information content of the limit order book (LOB) on the Tokyo Stock Exchange, the world’s second largest order-driven market. We find that high frequency microstructure parameters, such as the current cost-to-trade 1% of average daily volume and LOB slope, contain information about future trade price location, price volatility, speed of trading, return autocorrelation and cross-correlation. We also document that the average trade size in LOB is the driving force in the standard volume–volatility relationship, which is contrary to previous findings for other markets. These results are helpful in understanding the price discovery process in a purely order driven market and have potential applications in academics and industry for optimizing the order submission strategies.\",\"PeriodicalId\":307682,\"journal\":{\"name\":\"Midwest Finance Association 2012 Annual Meeting (Archive)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Midwest Finance Association 2012 Annual Meeting (Archive)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1913982\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Midwest Finance Association 2012 Annual Meeting (Archive)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1913982","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evolution of Volatility, Trade Price Location, Correlations, and Speed of Trading in the Limit Order Book
We investigate the information content of the limit order book (LOB) on the Tokyo Stock Exchange, the world’s second largest order-driven market. We find that high frequency microstructure parameters, such as the current cost-to-trade 1% of average daily volume and LOB slope, contain information about future trade price location, price volatility, speed of trading, return autocorrelation and cross-correlation. We also document that the average trade size in LOB is the driving force in the standard volume–volatility relationship, which is contrary to previous findings for other markets. These results are helpful in understanding the price discovery process in a purely order driven market and have potential applications in academics and industry for optimizing the order submission strategies.