{"@context":"http://iiif.io/api/presentation/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/manifest.json","@type":"sc:Manifest","label":"Estimation of Stable Distribution and Its Application to Credit Risk","metadata":[{"label":"dc.description.sponsorship","value":"This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree."},{"label":"dc.format","value":"Monograph"},{"label":"dc.format.medium","value":"Electronic Resource"},{"label":"dc.identifier.uri","value":"http://hdl.handle.net/11401/76051"},{"label":"dc.language.iso","value":"en_US"},{"label":"dc.publisher","value":"The Graduate School, Stony Brook University: Stony Brook, NY."},{"label":"dcterms.abstract","value":"To capture the heavy tails and the volatility clustering of asset returns is always an  important topic in  nancial market. We studies two projects related to the Alpha Stable distribution and Classical Tempered Stable(CTS) distribution respectively which both have desired properties to accommodate heavy-tails and capture skewness in  nancial series. (1) In the major part of the  rst project, we introduce the algorithm of indirect inference method. By using the skewed-t distribution as an auxiliary model which is easier to handle, we can estimate the parameters of the Alpha Stable distribution since these two models have the same numbers of parameters and each of them plays a similar role. We also estimate of the parameters of the alpha stable distribution with McColloch method, Characteristic Function Based method and MLE method respectively. Finally, we provide an empirical application on S&P 500 returns and make comparisons between these four methods. (2) In the second project, we discuss the Gaussian  rm value model and the Classical Tempered Stable  rm value model. By pointing out the drawbacks of application of Merton s model on  rm value, we introduce the classical tempered stable distribution and make the market  rm value process follows a CTS distribution instead of Gaussian distribution. We estimate the parameters of the CTS, and calculate the  rm value and default probability. By comparing these two models, the results suggest that CTS  rm value model has a better potential to predict the default probability of a  rm since it can better capture the heavy tails of the asset returns."},{"label":"dcterms.available","value":"2017-09-18T23:49:54Z"},{"label":"dcterms.contributor","value":"Kim, Aaron"},{"label":"dcterms.creator","value":"Mo, Hua"},{"label":"dcterms.dateAccepted","value":"2017-09-18T23:49:54Z"},{"label":"dcterms.dateSubmitted","value":"2017-09-18T23:49:54Z"},{"label":"dcterms.description","value":"Department of Applied Mathematics and Statistics."},{"label":"dcterms.extent","value":"78 pg."},{"label":"dcterms.format","value":"Application/PDF"},{"label":"dcterms.identifier","value":"http://hdl.handle.net/11401/76051"},{"label":"dcterms.issued","value":"2016-12-01"},{"label":"dcterms.language","value":"en_US"},{"label":"dcterms.provenance","value":"Made available in DSpace on 2017-09-18T23:49:54Z (GMT). No. of bitstreams: 1\nMo_grad.sunysb_0771E_12693.pdf: 452805 bytes, checksum: 9e60dabb90d208a458dc364c8e3573b4 (MD5)\n  Previous issue date:    1"},{"label":"dcterms.publisher","value":"The Graduate School, Stony Brook University: Stony Brook, NY."},{"label":"dcterms.subject","value":"Alpha Stable Distribution, Classical Tempered Stable Distribution, Firm Value Model, Indirect Inference, Merton Model"},{"label":"dcterms.title","value":"Estimation of Stable Distribution and Its Application to Credit Risk"},{"label":"dcterms.type","value":"Dissertation"},{"label":"dc.type","value":"Dissertation"}],"description":"This manifest was generated dynamically","viewingDirection":"left-to-right","sequences":[{"@type":"sc:Sequence","canvases":[{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json","@type":"sc:Canvas","label":"Page 1","height":1650,"width":1275,"images":[{"@type":"oa:Annotation","motivation":"sc:painting","resource":{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/27%2F37%2F68%2F27376861424669675407216921823038734887/full/full/0/default.jpg","@type":"dctypes:Image","format":"image/jpeg","height":1650,"width":1275,"service":{"@context":"http://iiif.io/api/image/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/27%2F37%2F68%2F27376861424669675407216921823038734887","profile":"http://iiif.io/api/image/2/level2.json"}},"on":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json"}]}]}]}