{"title":"Dynamic Unravelling","authors":"Joel P. Flynn","doi":"10.2139/ssrn.3496074","DOIUrl":null,"url":null,"abstract":"Rapid declines in the prices of financial securities on low trading volume -- low volume crashes -- are ubiquitous. This paper proposes a dynamic model with informational asymmetries and costly short-selling to explain this phenomenon. Owing to short-selling constraints, no-trade events are bad news. No-trade therefore lowers prices, worsens adverse selection, increases bid-ask spreads and causes liquidity traders to leave the market, making no-trade more likely. This generates endogenous auto-correlation in no-trade events -- dynamic unravelling -- and causes low volume crashes. Short-selling prohibitions harm price discovery and make crashes more likely. Liquidity interventions aid price discovery and avert crashes.","PeriodicalId":352857,"journal":{"name":"DecisionSciRN: Other Investment Decision-Making (Sub-Topic)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DecisionSciRN: Other Investment Decision-Making (Sub-Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3496074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Rapid declines in the prices of financial securities on low trading volume -- low volume crashes -- are ubiquitous. This paper proposes a dynamic model with informational asymmetries and costly short-selling to explain this phenomenon. Owing to short-selling constraints, no-trade events are bad news. No-trade therefore lowers prices, worsens adverse selection, increases bid-ask spreads and causes liquidity traders to leave the market, making no-trade more likely. This generates endogenous auto-correlation in no-trade events -- dynamic unravelling -- and causes low volume crashes. Short-selling prohibitions harm price discovery and make crashes more likely. Liquidity interventions aid price discovery and avert crashes.