{"title":"非流动性市场环境下的市场风险预测:不同建模技术的比较","authors":"Mazin A. M. Al Janabi","doi":"10.2139/ssrn.3847066","DOIUrl":null,"url":null,"abstract":"This paper bridges the gap in trading risk management literatures, and particularly from the perspective of emerging and illiquid markets. We find that under certain trading strategies, such as short-selling of stocks, the sensitivity of L-VaR statistics are rather critical to the selected internal asset liquidity model in addition to the degree of correlation factors among trading assets.","PeriodicalId":251522,"journal":{"name":"Risk Management & Analysis in Financial Institutions eJournal","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Market Risk Prediction under Illiquid Market Environments: A Comparison of Alternative Modeling Techniques\",\"authors\":\"Mazin A. M. Al Janabi\",\"doi\":\"10.2139/ssrn.3847066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper bridges the gap in trading risk management literatures, and particularly from the perspective of emerging and illiquid markets. We find that under certain trading strategies, such as short-selling of stocks, the sensitivity of L-VaR statistics are rather critical to the selected internal asset liquidity model in addition to the degree of correlation factors among trading assets.\",\"PeriodicalId\":251522,\"journal\":{\"name\":\"Risk Management & Analysis in Financial Institutions eJournal\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Risk Management & Analysis in Financial Institutions eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3847066\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Risk Management & Analysis in Financial Institutions eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3847066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Market Risk Prediction under Illiquid Market Environments: A Comparison of Alternative Modeling Techniques
This paper bridges the gap in trading risk management literatures, and particularly from the perspective of emerging and illiquid markets. We find that under certain trading strategies, such as short-selling of stocks, the sensitivity of L-VaR statistics are rather critical to the selected internal asset liquidity model in addition to the degree of correlation factors among trading assets.