{"title":"Estimating the tail conditional expectation of Walmart stock data","authors":"H. Ouadjed, Tawfiq Fawzi Mami","doi":"10.17535/crorr.2020.0008","DOIUrl":null,"url":null,"abstract":"Stable distribution, also known as Lévy stable distribution, which is a rich class of heavy– tailed distributions can capture asymmetry and heavy tails observed in financial data. In this paper, we fit an AR(1) process with α–stable innovations to the logarithms of volumes of Walmart stock traded daily on the New York Stock Exchange and estimate the TCE (Tail Conditional Expectation) risk measure.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":"11 1","pages":"95-106"},"PeriodicalIF":0.5000,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.17535/crorr.2020.0008","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Croatian Operational Research Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17535/crorr.2020.0008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 1
Abstract
Stable distribution, also known as Lévy stable distribution, which is a rich class of heavy– tailed distributions can capture asymmetry and heavy tails observed in financial data. In this paper, we fit an AR(1) process with α–stable innovations to the logarithms of volumes of Walmart stock traded daily on the New York Stock Exchange and estimate the TCE (Tail Conditional Expectation) risk measure.
期刊介绍:
Croatian Operational Research Review (CRORR) is the journal which publishes original scientific papers from the area of operational research. The purpose is to publish papers from various aspects of operational research (OR) with the aim of presenting scientific ideas that will contribute both to theoretical development and practical application of OR. The scope of the journal covers the following subject areas: linear and non-linear programming, integer programing, combinatorial and discrete optimization, multi-objective programming, stohastic models and optimization, scheduling, macroeconomics, economic theory, game theory, statistics and econometrics, marketing and data analysis, information and decision support systems, banking, finance, insurance, environment, energy, health, neural networks and fuzzy systems, control theory, simulation, practical OR and applications. The audience includes both researchers and practitioners from the area of operations research, applied mathematics, statistics, econometrics, intelligent methods, simulation, and other areas included in the above list of topics. The journal has an international board of editors, consisting of more than 30 editors – university professors from Croatia, Slovenia, USA, Italy, Germany, Austria and other coutries.