| dc.contributor.advisor | Prášková, Zuzana | |
| dc.creator | Straňáková, Alena | |
| dc.date.accessioned | 2017-04-20T16:54:17Z | |
| dc.date.available | 2017-04-20T16:54:17Z | |
| dc.date.issued | 2009 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11956/27659 | |
| dc.description.abstract | In this paper, we generalize Raftery's model of Markov chain to a higher-order multivariate Markov chain model. This model is more suitable for practical applications because of smaller number of independent parameters. We propose a method of estimation of parameters of the model and apply it to the Credit risk measuring of a portfolio. We compute Value at Risk and Expected Shortfall in this portfolio. Theoretical results are applied to real data. | en_US |
| dc.language | Čeština | cs_CZ |
| dc.language.iso | cs_CZ | |
| dc.publisher | Univerzita Karlova, Matematicko-fyzikální fakulta | cs_CZ |
| dc.title | Markovovy řetězce vyšších řádů a jejich aplikace v ekonometrii | cs_CZ |
| dc.type | diplomová práce | cs_CZ |
| dcterms.created | 2009 | |
| dcterms.dateAccepted | 2009-09-23 | |
| dc.description.department | Department of Probability and Mathematical Statistics | en_US |
| dc.description.department | Katedra pravděpodobnosti a matematické statistiky | cs_CZ |
| dc.description.faculty | Faculty of Mathematics and Physics | en_US |
| dc.description.faculty | Matematicko-fyzikální fakulta | cs_CZ |
| dc.identifier.repId | 47814 | |
| dc.title.translated | Higher - order Markov chains and applications in econometrics | en_US |
| dc.contributor.referee | Sladký, Karel | |
| dc.identifier.aleph | 001171272 | |
| thesis.degree.name | Mgr. | |
| thesis.degree.level | navazující magisterské | cs_CZ |
| thesis.degree.discipline | Pravděpodobnost, matematická statistika a ekonometrie | cs_CZ |
| thesis.degree.discipline | Probability, mathematical statistics and econometrics | en_US |
| thesis.degree.program | Matematika | cs_CZ |
| thesis.degree.program | Mathematics | en_US |
| uk.thesis.type | diplomová práce | cs_CZ |
| uk.taxonomy.organization-cs | Matematicko-fyzikální fakulta::Katedra pravděpodobnosti a matematické statistiky | cs_CZ |
| uk.taxonomy.organization-en | Faculty of Mathematics and Physics::Department of Probability and Mathematical Statistics | en_US |
| uk.faculty-name.cs | Matematicko-fyzikální fakulta | cs_CZ |
| uk.faculty-name.en | Faculty of Mathematics and Physics | en_US |
| uk.faculty-abbr.cs | MFF | cs_CZ |
| uk.degree-discipline.cs | Pravděpodobnost, matematická statistika a ekonometrie | cs_CZ |
| uk.degree-discipline.en | Probability, mathematical statistics and econometrics | en_US |
| uk.degree-program.cs | Matematika | cs_CZ |
| uk.degree-program.en | Mathematics | en_US |
| thesis.grade.cs | Výborně | cs_CZ |
| thesis.grade.en | Excellent | en_US |
| uk.abstract.en | In this paper, we generalize Raftery's model of Markov chain to a higher-order multivariate Markov chain model. This model is more suitable for practical applications because of smaller number of independent parameters. We propose a method of estimation of parameters of the model and apply it to the Credit risk measuring of a portfolio. We compute Value at Risk and Expected Shortfall in this portfolio. Theoretical results are applied to real data. | en_US |
| uk.publication.place | Praha | cs_CZ |
| uk.grantor | Univerzita Karlova, Matematicko-fyzikální fakulta, Katedra pravděpodobnosti a matematické statistiky | cs_CZ |
| dc.identifier.lisID | 990011712720106986 | |
