Option Pricing Models with HF Data: An Application of the Black Model to the WIG20 Index
Descripción del Articulo
        In this paper, we compared several Black option pricing models by applying different measures of volatility and examined the Black model with historical (BHV), implied (BIV), and several different types of realized (BRV) volatility. The main objective of the study was to find the best model; that is...
              
            
    
                        | Autores: | , , | 
|---|---|
| Formato: | artículo | 
| Fecha de Publicación: | 2012 | 
| Institución: | Pontificia Universidad Católica del Perú | 
| Repositorio: | PUCP-Institucional | 
| Lenguaje: | inglés | 
| OAI Identifier: | oai:repositorio.pucp.edu.pe:20.500.14657/194805 | 
| Enlace del recurso: | https://repositorio.pucp.edu.pe/index/handle/123456789/194805 | 
| Nivel de acceso: | acceso abierto | 
| Materia: | Warsaw Stock Exchange Emerging markets Financial market volatility High frequency financial data Implied volatility Microstructure bias Option pricing models Realized volatility https://purl.org/pe-repo/ocde/ford#5.02.04 | 
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| spelling | Kokoszczynski, RyszardSakowski, PawełŚlepaczuk, Robert2023-07-21T19:18:17Z2023-07-21T19:18:17Z2012https://repositorio.pucp.edu.pe/index/handle/123456789/194805In this paper, we compared several Black option pricing models by applying different measures of volatility and examined the Black model with historical (BHV), implied (BIV), and several different types of realized (BRV) volatility. The main objective of the study was to find the best model; that is, the model that predicts the actual market price with the minimum error. The high frequency (HF) data and bid-ask quotes (instead of transactional data) for the Warsaw Stock Exchange (WSE) were used to omit the problem of nonsynchronous trading and to increase the number of observations. Several error statistics and the percentage of price overpredictions (OP) showed the results that confirmed the initial intuition that the BIV model is the best model, the BHV model is the second best, and the BRV is the least efficient among the models studied.engPontificia Universidad Católica del Perú. CENTRUMPEurn:issn:1851-6599info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0Journal of CENTRUM Cathedra, Vol. 5, Issue 1reponame:PUCP-Institucionalinstname:Pontificia Universidad Católica del Perúinstacron:PUCPWarsaw Stock ExchangeEmerging marketsFinancial market volatilityHigh frequency financial dataImplied volatilityMicrostructure biasOption pricing modelsRealized volatilityhttps://purl.org/pe-repo/ocde/ford#5.02.04Option Pricing Models with HF Data: An Application of the Black Model to the WIG20 Indexinfo:eu-repo/semantics/articleArtículoORIGINALJCC-5.1-68.pdfJCC-5.1-68.pdfTexto completoapplication/pdf2163790https://repositorio.pucp.edu.pe/bitstreams/06c8f6bf-d02a-4fc3-86a1-6d60af076122/download94e944d2bc0dacd06c32a3ddb2210d7bMD51trueAnonymousREADTHUMBNAILJCC-5.1-68.pdf.jpgJCC-5.1-68.pdf.jpgIM Thumbnailimage/jpeg25902https://repositorio.pucp.edu.pe/bitstreams/2a8e258f-3d69-4763-8202-d50bd6cf83ca/download721ba593fa9cabd16800f7b476556428MD52falseAnonymousREAD20.500.14657/194805oai:repositorio.pucp.edu.pe:20.500.14657/1948052025-04-11 09:58:18.825http://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.pucp.edu.peRepositorio Institucional de la PUCPrepositorio@pucp.pe | 
| dc.title.en_US.fl_str_mv | Option Pricing Models with HF Data: An Application of the Black Model to the WIG20 Index | 
| title | Option Pricing Models with HF Data: An Application of the Black Model to the WIG20 Index | 
| spellingShingle | Option Pricing Models with HF Data: An Application of the Black Model to the WIG20 Index Kokoszczynski, Ryszard Warsaw Stock Exchange Emerging markets Financial market volatility High frequency financial data Implied volatility Microstructure bias Option pricing models Realized volatility https://purl.org/pe-repo/ocde/ford#5.02.04 | 
| title_short | Option Pricing Models with HF Data: An Application of the Black Model to the WIG20 Index | 
| title_full | Option Pricing Models with HF Data: An Application of the Black Model to the WIG20 Index | 
| title_fullStr | Option Pricing Models with HF Data: An Application of the Black Model to the WIG20 Index | 
| title_full_unstemmed | Option Pricing Models with HF Data: An Application of the Black Model to the WIG20 Index | 
| title_sort | Option Pricing Models with HF Data: An Application of the Black Model to the WIG20 Index | 
| author | Kokoszczynski, Ryszard | 
| author_facet | Kokoszczynski, Ryszard Sakowski, Paweł Ślepaczuk, Robert | 
| author_role | author | 
| author2 | Sakowski, Paweł Ślepaczuk, Robert | 
| author2_role | author author | 
| dc.contributor.author.fl_str_mv | Kokoszczynski, Ryszard Sakowski, Paweł Ślepaczuk, Robert | 
| dc.subject.en_US.fl_str_mv | Warsaw Stock Exchange Emerging markets Financial market volatility High frequency financial data Implied volatility Microstructure bias Option pricing models Realized volatility | 
| topic | Warsaw Stock Exchange Emerging markets Financial market volatility High frequency financial data Implied volatility Microstructure bias Option pricing models Realized volatility https://purl.org/pe-repo/ocde/ford#5.02.04 | 
| dc.subject.ocde.none.fl_str_mv | https://purl.org/pe-repo/ocde/ford#5.02.04 | 
| description | In this paper, we compared several Black option pricing models by applying different measures of volatility and examined the Black model with historical (BHV), implied (BIV), and several different types of realized (BRV) volatility. The main objective of the study was to find the best model; that is, the model that predicts the actual market price with the minimum error. The high frequency (HF) data and bid-ask quotes (instead of transactional data) for the Warsaw Stock Exchange (WSE) were used to omit the problem of nonsynchronous trading and to increase the number of observations. Several error statistics and the percentage of price overpredictions (OP) showed the results that confirmed the initial intuition that the BIV model is the best model, the BHV model is the second best, and the BRV is the least efficient among the models studied. | 
| publishDate | 2012 | 
| dc.date.accessioned.none.fl_str_mv | 2023-07-21T19:18:17Z | 
| dc.date.available.none.fl_str_mv | 2023-07-21T19:18:17Z | 
| dc.date.issued.fl_str_mv | 2012 | 
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article | 
| dc.type.other.none.fl_str_mv | Artículo | 
| format | article | 
| dc.identifier.uri.none.fl_str_mv | https://repositorio.pucp.edu.pe/index/handle/123456789/194805 | 
| url | https://repositorio.pucp.edu.pe/index/handle/123456789/194805 | 
| dc.language.iso.none.fl_str_mv | eng | 
| language | eng | 
| dc.relation.ispartof.none.fl_str_mv | urn:issn:1851-6599 | 
| dc.rights.es_ES.fl_str_mv | info:eu-repo/semantics/openAccess | 
| dc.rights.uri.*.fl_str_mv | http://creativecommons.org/licenses/by/4.0 | 
| eu_rights_str_mv | openAccess | 
| rights_invalid_str_mv | http://creativecommons.org/licenses/by/4.0 | 
| dc.publisher.none.fl_str_mv | Pontificia Universidad Católica del Perú. CENTRUM | 
| dc.publisher.country.none.fl_str_mv | PE | 
| publisher.none.fl_str_mv | Pontificia Universidad Católica del Perú. CENTRUM | 
| dc.source.es_ES.fl_str_mv | Journal of CENTRUM Cathedra, Vol. 5, Issue 1 | 
| dc.source.none.fl_str_mv | reponame:PUCP-Institucional instname:Pontificia Universidad Católica del Perú instacron:PUCP | 
| instname_str | Pontificia Universidad Católica del Perú | 
| instacron_str | PUCP | 
| institution | PUCP | 
| reponame_str | PUCP-Institucional | 
| collection | PUCP-Institucional | 
| bitstream.url.fl_str_mv | https://repositorio.pucp.edu.pe/bitstreams/06c8f6bf-d02a-4fc3-86a1-6d60af076122/download https://repositorio.pucp.edu.pe/bitstreams/2a8e258f-3d69-4763-8202-d50bd6cf83ca/download | 
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| repository.name.fl_str_mv | Repositorio Institucional de la PUCP | 
| repository.mail.fl_str_mv | repositorio@pucp.pe | 
| _version_ | 1835638742283452416 | 
| score | 13.931935 | 
 Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
    La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
 
   
   
             
            