{"title":"流动性效应下的已实现波动估计","authors":"Erindi Allaj","doi":"10.2139/ssrn.3509894","DOIUrl":null,"url":null,"abstract":"We analyze the behaviour of the realized volatility (RV) estimator under liquidity effects. The liquidity is measured by the impact of the trading volume on the asset price. We find that this estimator is inconsistent but convergent in probability. Motivated by this fact, we propose a new estimator which is consistent and asymptotically unbiased under a linear economy. Finally, our results are validated by a simulation and an empirical study.","PeriodicalId":273058,"journal":{"name":"ERN: Model Construction & Estimation (Topic)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Realized Volatility Estimator Under Liquidity Effects\",\"authors\":\"Erindi Allaj\",\"doi\":\"10.2139/ssrn.3509894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We analyze the behaviour of the realized volatility (RV) estimator under liquidity effects. The liquidity is measured by the impact of the trading volume on the asset price. We find that this estimator is inconsistent but convergent in probability. Motivated by this fact, we propose a new estimator which is consistent and asymptotically unbiased under a linear economy. Finally, our results are validated by a simulation and an empirical study.\",\"PeriodicalId\":273058,\"journal\":{\"name\":\"ERN: Model Construction & Estimation (Topic)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Model Construction & Estimation (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3509894\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Model Construction & Estimation (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3509894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Realized Volatility Estimator Under Liquidity Effects
We analyze the behaviour of the realized volatility (RV) estimator under liquidity effects. The liquidity is measured by the impact of the trading volume on the asset price. We find that this estimator is inconsistent but convergent in probability. Motivated by this fact, we propose a new estimator which is consistent and asymptotically unbiased under a linear economy. Finally, our results are validated by a simulation and an empirical study.