One of the major problems faced by banks is how to manage the risk exposure in large portfolios. According to Basel II regulation banks has to measure the risk using Value-at-Risk with confidence level 99%. However, this regulation does not specify the way to calculate Value-at-Risk. The easiest and most common way to calculate Value-at-Risk is to assume that portfolio returns are normally distributed. The previous crisis shows that the regular methods are unfortunately not always enough to prevent bankruptcy. This study is devoted to compare the classical methods of estimating risk with other methods such as Cornish-Fisher Expansion (CFVaR) and assuming generalized hyperbolic distribution. For this study, we estimate the risk in a large portfolio consisting of ten stocks, chosen from the NASDAQ 100-list and from different sectors in order to have well-diversified and highly liquid portfolio. The results show that for a well-diversified large portfolio none of the risk measures are violated. However, for a portfolio consisting of only one highly volatile stock we prove that we have a violation in the classical methods but not when we use the modern methods mentioned above.
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One of the major problems faced by banks is how to manage the risk exposure in large portfolios. According to Basel II regulation banks has to measure the risk using Value-at-Risk with confidence level 99%. However, this regulation does not specify the way to calculate Value-at-Risk. The easiest and most common way to calculate Value-at-Risk is to assume that portfolio returns are normally distributed. The previous crisis shows that the regular methods are unfortunately not always enough to prevent bankruptcy. This study is devoted to compare the classical methods of estimating risk with other methods such as Cornish-Fisher Expansion (CFVaR) and assuming generalized hyperbolic distribution. For this study, we estimate the risk in a large portfolio consisting of ten stocks, chosen from the NASDAQ 100-list and from different sectors in order to have well-diversified and highly liquid portfolio. The results show that for a well-diversified large portfolio none of the risk measures are violated. However, for a portfolio consisting of only one highly volatile stock we prove that we have a violation in the classical methods but not when we use the modern methods mentioned above.
Maria Sjöstrand & Özlem Aktaş received their M.S. degree in Financial Mathematics from Halmstad University, Sweden in 2011. Maria(1987-Sweden), has B.S. degree in Mathematics-Halmstad University and Economics-Linnaeus University. Özlem(1986-Turkey) has B.S. degree in Mathematics-Middle East Technical University and working as a financial analyst.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One of the major problems faced by banks is how to manage the risk exposure in large portfolios. According to Basel II regulation banks has to measure the risk using Value-at-Risk with confidence level 99%. However, this regulation does not specify the way to calculate Value-at-Risk. The easiest and most common way to calculate Value-at-Risk is to assume that portfolio returns are normally distributed. The previous crisis shows that the regular methods are unfortunately not always enough to prevent bankruptcy. This study is devoted to compare the classical methods of estimating risk with other methods such as Cornish-Fisher Expansion (CFVaR) and assuming generalized hyperbolic distribution. For this study, we estimate the risk in a large portfolio consisting of ten stocks, chosen from the NASDAQ 100-list and from different sectors in order to have well-diversified and highly liquid portfolio. The results show that for a well-diversified large portfolio none of the risk measures are violated. However, for a portfolio consisting of only one highly volatile stock we prove that we have a violation in the classical methods but not when we use the modern methods mentioned above. 84 pp. Englisch. N° de réf. du vendeur 9783846515358
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Etat : New. pp. 84. N° de réf. du vendeur 2698158703
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - One of the major problems faced by banks is how to manage the risk exposure in large portfolios. According to Basel II regulation banks has to measure the risk using Value-at-Risk with confidence level 99%. However, this regulation does not specify the way to calculate Value-at-Risk. The easiest and most common way to calculate Value-at-Risk is to assume that portfolio returns are normally distributed. The previous crisis shows that the regular methods are unfortunately not always enough to prevent bankruptcy. This study is devoted to compare the classical methods of estimating risk with other methods such as Cornish-Fisher Expansion (CFVaR) and assuming generalized hyperbolic distribution. For this study, we estimate the risk in a large portfolio consisting of ten stocks, chosen from the NASDAQ 100-list and from different sectors in order to have well-diversified and highly liquid portfolio. The results show that for a well-diversified large portfolio none of the risk measures are violated. However, for a portfolio consisting of only one highly volatile stock we prove that we have a violation in the classical methods but not when we use the modern methods mentioned above. N° de réf. du vendeur 9783846515358
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sjoestrand MariaMaria Sjoestrand & Oezlem Aktas received their M.S. degree in Financial Mathematics from Halmstad University, Sweden in 2011. Maria(1987-Sweden), has B.S. degree in Mathematics-Halmstad University and Economics-Linnaeus. N° de réf. du vendeur 5495975
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -One of the major problems faced by banks is how to manage the risk exposure in large portfolios. According to Basel II regulation banks has to measure the risk using Value-at-Risk with confidence level 99%. However, this regulation does not specify the way to calculate Value-at-Risk. The easiest and most common way to calculate Value-at-Risk is to assume that portfolio returns are normally distributed. The previous crisis shows that the regular methods are unfortunately not always enough to prevent bankruptcy. This study is devoted to compare the classical methods of estimating risk with other methods such as Cornish-Fisher Expansion (CFVaR) and assuming generalized hyperbolic distribution. For this study, we estimate the risk in a large portfolio consisting of ten stocks, chosen from the NASDAQ 100-list and from different sectors in order to have well-diversified and highly liquid portfolio. The results show that for a well-diversified large portfolio none of the risk measures are violated. However, for a portfolio consisting of only one highly volatile stock we prove that we have a violation in the classical methods but not when we use the modern methods mentioned above.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. N° de réf. du vendeur 9783846515358
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Taschenbuch. Etat : Neu. Cornish-Fisher Expansion and Value-at-Risk | Cornish-Fisher Expansion and Value-at-Risk Methods in Application to Risk Management of Large Portfolios | Maria Sjöstrand (u. a.) | Taschenbuch | 84 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846515358 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106773074
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